University campus in Virginia
Updated January 2026

Best Data Analytics Degree Programs in Virginia — 2026 Rankings

Explore 10 accredited data analytics degree programs in Virginia. Compare schools by graduation rate, salary outcomes, and tuition—from George Mason University to Virginia Polytechnic Institute and State University.

#1 ProgramVirginia Polytechnic Inst...
Avg Salary$126,100
Tuition From$10,095/yr
Job Growth+22%

Key Takeaways

Top 3 ranked: Virginia Polytechnic Inst..., U of Virginia, William & Mary

Based on graduation rates, program outcomes, and institutional quality

IPEDS 2023

Tuition ranges from $7,590 to $38,400/year

George Mason offers the most affordable option at $10,095/yr

IPEDS 2023

Degree levels: 7 master's, 3 doctoral programs available in Virginia

From community college pathways to advanced research degrees

IPEDS 2023

7 Virginia programs offer online or hybrid formats

Flexible scheduling for working professionals

IPEDS 2023

Major employers: Amazon AWS, Microsoft, Booz Allen, Capital One

Tech hubs in Arlington and Reston

Hakia Research 2026

Data Analytics programs available near 73+ cities across Virginia

Search by city to find programs within 200 miles of your location

IPEDS 2023

Updated February 2026

On This Page
$126,100
Is Data Analytics in Virginia Worth It?
Yes. Data Analytics degrees in Virginia deliver strong ROI—graduates earn $126,100 median salary with +22% job growth through 2032. In-state tuition averages $19,398/year.

Source: BLS OEWS May 2024

Best Data Analytics Degree Programs in Virginia

Bachelor's Data Analytics Degree Programs in Virginia

7 programs$126,100 median salary93% avg grad rate
7
Programs
$126,100
Median Salary
$24,090/yr
Avg Tuition
93%
Avg Grad Rate

Program Landscape

Virginia ranks among the nation's top destinations for data analytics education, with 7 accredited bachelor's degree programs across 4 public and 3 private institutions. The highest-ranked programs are Virginia Polytechnic Inst..., U of Virginia, William & Mary, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Virginia data analytics programs earn a median salary of $107,185—9% above the national average. The state's robust technology sector, anchored by the Arlington, Reston, Richmond metropolitan areas, provides abundant internship and employment opportunities with companies including Amazon AWS, Microsoft, Booz Allen.

Costs & Value

Tuition ranges from $10,095 to $38,400 annually, with an average of $24,090/yr. Top programs maintain graduation rates above 93%, with the highest reaching 99%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Virginia's leading technology employers. For students seeking data analytics degrees in Virginia, these top-ranked data analytics schools offer the strongest combination of academic rigor and career preparation.

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Virginia Polytechnic Institute and State University

Public
Blacksburg, VA
$12,698
Tuition/yr
95%
Grad Rate
88.9
Score
Website
🥈

University of Virginia-Main Campus

Public
Charlottesville, VA
$18,823
Tuition/yr
96%
Grad Rate
73.4
Score
Website
🥉

William & Mary

Public
Williamsburg, VA
$18,253
Tuition/yr
94%
Grad Rate
68.6
Score
Website
#4

Averett University

Private
Danville, VA
$38,400
Tuition/yr
99%
Grad Rate
55.2
Score
Website
#5

George Mason University

Public
Fairfax, VA
$10,095
Tuition/yr
80%
Grad Rate
45.5
Score
Website
#6

University of Lynchburg

Private
Lynchburg, VA
$35,540
Tuition/yr
37.0
Score
Website
#7

Roanoke College

Private
Salem, VA
$34,820
Tuition/yr
35.7
Score
Website

Complete Data Analytics Degree Program Rankings in Virginia

Best Bachelor's Data Analytics Degree Programs in Virginia

### Program Landscape Virginia ranks among the nation's top destinations for data analytics education, with **7 accredited** bachelor's degree programs across **4 public** and **3 private** institutions. The highest-ranked programs are **Virginia Polytechnic Inst...**, **U of Virginia**, **William & Mary**, recognized for academic excellence, research opportunities, and strong industry connections. ### Career Outcomes Graduates from Virginia data analytics programs earn a median salary of **$107,185**—9% above the national average. The state's robust technology sector, anchored by the Arlington, Reston, Richmond metropolitan areas, provides abundant internship and employment opportunities with companies including Amazon AWS, Microsoft, Booz Allen. ### Costs & Value Tuition ranges from **$10,095** to **$38,400** annually, with an average of **$24,090/yr**. Top programs maintain graduation rates above **93%**, with the highest reaching **99%**. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards. ### Curriculum & Specializations Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Virginia's leading technology employers. For students seeking data analytics degrees in Virginia, these top-ranked data analytics schools offer the strongest combination of academic rigor and career preparation.

  1. #1. Virginia Polytechnic Institute and State University

    Hakia ranks Virginia Polytechnic Institute and State University as the #1 bachelor's in data analytics degree program in Virginia. This public institution in Blacksburg, VA has annual tuition of $12,698 and a 95% graduation rate. Ranking score: 88.9.

  2. #2. University of Virginia-Main Campus

    Hakia ranks University of Virginia-Main Campus as the #2 bachelor's in data analytics degree program in Virginia. This public institution in Charlottesville, VA has annual tuition of $18,823 and a 96% graduation rate. Ranking score: 73.4.

  3. #3. William & Mary

    Hakia ranks William & Mary as the #3 bachelor's in data analytics degree program in Virginia. This public institution in Williamsburg, VA has annual tuition of $18,253 and a 94% graduation rate. Ranking score: 68.6.

  4. #4. Averett University

    Hakia ranks Averett University as the #4 bachelor's in data analytics degree program in Virginia. This private institution in Danville, VA has annual tuition of $38,400 and a 99% graduation rate. Ranking score: 55.2.

  5. #5. George Mason University

    Hakia ranks George Mason University as the #5 bachelor's in data analytics degree program in Virginia. This public institution in Fairfax, VA has annual tuition of $10,095 and a 80% graduation rate. Ranking score: 45.5.

  6. #6. University of Lynchburg

    Hakia ranks University of Lynchburg as the #6 bachelor's in data analytics degree program in Virginia. This private institution in Lynchburg, VA has annual tuition of $35,540. Ranking score: 37.0.

  7. #7. Roanoke College

    Hakia ranks Roanoke College as the #7 bachelor's in data analytics degree program in Virginia. This private institution in Salem, VA has annual tuition of $34,820. Ranking score: 35.7.

Online Bachelor's Data Analytics Degree Programs in Virginia

### Online Program Options 4 Virginia institutions offer bachelor's data analytics degrees with online or hybrid options, enabling students to earn accredited degrees while maintaining professional or personal commitments. Top-ranked online programs include **U of Virginia**, **William & Mary**, **George Mason**, all regionally accredited and recognized by Virginia employers. ### Costs & Employer Recognition Online bachelor's programs average **$20,678/yr**—often comparable to or less than on-campus tuition. Virginia-based employers including Amazon AWS, Microsoft, Booz Allen value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The Arlington, Reston, Richmond job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete **120 credit hours** in 4 years while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online data analytics degrees in Virginia, these accredited data analytics schools offer the flexibility and quality that today's learners demand.

  • University of Virginia-Main Campus - Charlottesville, VA - Tuition: $18,823/year
  • William & Mary - Williamsburg, VA - Tuition: $18,253/year
  • George Mason University - Fairfax, VA - Tuition: $10,095/year
  • University of Lynchburg - Lynchburg, VA - Tuition: $35,540/year

Best Master's Data Analytics Degree Programs in Virginia

### Program Landscape Virginia offers **7** master's degree programs in data analytics, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs—**U of Virginia**, **George Mason**, **William & Mary**—combine advanced technical training with research opportunities and leadership development. ### Career Outcomes Master's graduates in Virginia earn a median salary of **$126,100**, approximately **20-30% higher** than bachelor's degree holders. The concentration of technology companies in Arlington, Reston, Richmond creates strong demand for graduate-level talent, with Amazon AWS, Microsoft, Booz Allen actively recruiting from these programs. ### Costs & Value Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages **$12,174/yr**, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals. ### Curriculum & Specializations Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among Virginia's data analytics schools at the graduate level, these programs stand out for both academic quality and career outcomes.

  1. #1. University of Virginia-Main Campus

    Hakia ranks University of Virginia-Main Campus as the #1 master's in data analytics degree program in Virginia. This public institution in Charlottesville, VA has annual tuition of $18,823 and a 96% graduation rate. Ranking score: 82.9.

  2. #2. George Mason University

    Hakia ranks George Mason University as the #2 master's in data analytics degree program in Virginia. This public institution in Fairfax, VA has annual tuition of $10,095 and a 80% graduation rate. Ranking score: 67.1.

  3. #3. William & Mary

    Hakia ranks William & Mary as the #3 master's in data analytics degree program in Virginia. This public institution in Williamsburg, VA has annual tuition of $18,253 and a 94% graduation rate. Ranking score: 72.2.

  4. #4. Virginia Polytechnic Institute and State University

    Hakia ranks Virginia Polytechnic Institute and State University as the #4 master's in data analytics degree program in Virginia. This public institution in Blacksburg, VA has annual tuition of $12,698 and a 95% graduation rate. Ranking score: 60.6.

  5. #5. University of Management and Technology

    Hakia ranks University of Management and Technology as the #5 master's in data analytics degree program in Virginia. This for-profit institution in Arlington, VA has annual tuition of $9,360. Ranking score: 45.5.

  6. #6. Old Dominion University

    Hakia ranks Old Dominion University as the #6 master's in data analytics degree program in Virginia. This public institution in Norfolk, VA has annual tuition of $7,590. Ranking score: 34.3.

  7. #7. Radford University

    Hakia ranks Radford University as the #7 master's in data analytics degree program in Virginia. This public institution in Radford, VA has annual tuition of $8,401. Ranking score: 33.5.

Online Master's Data Analytics Degree Programs in Virginia

### Online Program Options Working professionals can advance their careers through 6 online master's data analytics programs from Virginia universities, designed for flexibility without sacrificing academic rigor. Top-ranked online programs include **U of Virginia**, **George Mason**, **William & Mary**, all regionally accredited and recognized by Virginia employers. ### Costs & Employer Recognition Online master's programs average **$12,087/yr**—often comparable to or less than on-campus tuition. Virginia-based employers including Amazon AWS, Microsoft, Booz Allen value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The Arlington, Reston, Richmond job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete **30-36 credit hours** in 18-24 months while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online data analytics degrees in Virginia, these accredited data analytics schools offer the flexibility and quality that today's learners demand.

  • University of Virginia-Main Campus - Charlottesville, VA - Tuition: $18,823/year
  • George Mason University - Fairfax, VA - Tuition: $10,095/year
  • William & Mary - Williamsburg, VA - Tuition: $18,253/year
  • University of Management and Technology - Arlington, VA - Tuition: $9,360/year
  • Old Dominion University - Norfolk, VA - Tuition: $7,590/year
  • Radford University - Radford, VA - Tuition: $8,401/year

Best Doctoral Data Analytics Degree Programs in Virginia

### Program Landscape Virginia is home to **3** doctoral programs in data analytics, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at **Virginia Polytechnic Inst...**, **U of Virginia**, **George Mason** are recognized for cutting-edge research, strong faculty publications, and competitive funding packages. ### Career Outcomes Doctoral graduates command premium salaries, with Virginia PhD holders earning a median of **$157,625**—reflecting the advanced expertise required for research and executive positions. The Arlington, Reston, Richmond region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like Amazon AWS, Microsoft, Booz Allen. ### Costs & Value PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of **$25,000–$40,000** annually. ### Curriculum & Specializations Research strengths across Virginia programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing data analytics degrees in Virginia, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

  1. #1. Virginia Polytechnic Institute and State University

    Hakia ranks Virginia Polytechnic Institute and State University as the #1 doctoral in data analytics degree program in Virginia. This public institution in Blacksburg, VA has annual tuition of $12,698 and a 95% graduation rate. Ranking score: 81.1.

  2. #2. University of Virginia-Main Campus

    Hakia ranks University of Virginia-Main Campus as the #2 doctoral in data analytics degree program in Virginia. This public institution in Charlottesville, VA has annual tuition of $18,823 and a 96% graduation rate. Ranking score: 79.6.

  3. #3. George Mason University

    Hakia ranks George Mason University as the #3 doctoral in data analytics degree program in Virginia. This public institution in Fairfax, VA has annual tuition of $10,095 and a 80% graduation rate. Ranking score: 67.8.

Online Doctoral Data Analytics Degree Programs in Virginia

### Online Program Options 2 Virginia universities offer doctoral data analytics programs with online or hybrid components, accommodating established professionals pursuing terminal degrees. Top-ranked online programs include **U of Virginia**, **George Mason**, all regionally accredited and recognized by Virginia employers. ### Costs & Employer Recognition Online doctoral programs average **$14,459/yr**—often comparable to or less than on-campus tuition. Virginia-based employers including Amazon AWS, Microsoft, Booz Allen value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The Arlington, Reston, Richmond job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete doctoral requirements in 3-5 years while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online data analytics degrees in Virginia, these accredited data analytics schools offer the flexibility and quality that today's learners demand.

  • University of Virginia-Main Campus - Charlottesville, VA - Tuition: $18,823/year
  • George Mason University - Fairfax, VA - Tuition: $10,095/year

Data Analytics Tuition in Virginia

MetricValue
Average in-state tuition$19,398/year
Average out-of-state tuition$48,495/year
Community college tuition$4,850/year
4-year savings for residents$116,388
2+2 transfer pathway savings$29,096

Source: IPEDS 2023

Data Analytics Financial Aid & Scholarships in Virginia

State Aid Programs

Virginia offers substantial state financial aid programs.

The Virginia Tuition Assistance Grant (VTAG) provides $5,250/year for undergraduate residents attending private nonprofit institutions (SCHEV VTAG). The Virginia Guaranteed Assistance Program (VGAP) covers tuition, fees, and books for low- and middle-income students. FAFSA completion is required with priority deadlines varying by institution.

Key Programs & Amounts

Federal aid supplements state programs.

The Pell Grant provides up to $7,395/year (2024-25) for students with demonstrated need. Federal loans offer $5,500-$7,500/year for undergraduates. Technology companies including Amazon, Microsoft, and Capital One fund scholarship programs for data analytics students at partner universities.

Institutional Scholarships

Institutional scholarships enhance affordability.

Virginia Tech, UVA, and GMU offer merit scholarships of $2,000-$15,000/year for strong data analytics applicants. Graduate assistantships cover tuition plus $20,000-$30,000 stipends. Many employers—including defense contractors—offer tuition reimbursement for part-time graduate study, effectively making master's degrees free for employed professionals.

Calculate Your Data Analytics Degree ROI in Virginia

Use our interactive ROI calculator to estimate your return on investment for a data analytics degree in Virginia. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Data Analytics Degree ROI Calculator
Estimate your return on investment for a data analytics degree
$

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+959%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,774,135

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$100,000

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown
How we calculate your degree ROI using real salary data
Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$2,809,543

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Washington, DC)$145,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return5.1%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2023. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Career Paths

Design and develop software applications and systems

Median Salary:$142,493

Analyze complex datasets and build predictive models

Median Salary:$118,534

Protect computer networks from cyber threats

Median Salary:$132,405

Manage cloud infrastructure and deployment pipelines

Median Salary:$139,971

Design and maintain cloud computing infrastructure

Median Salary:$136,188

Build and deploy machine learning models

Median Salary:$158,886
Data Analytics Salaries by Metro Area

Median annual salary in Virginia metro areas

Hakia.com
View data table
Categoryvalue
Arlington$139K
Reston$132K
Richmond$126K
Norfolk$120K

Source: BLS OEWS May 2024

Hakia.com

Data Analytics Jobs in Virginia: Top Employers Hiring

Find data analytics jobs in Virginia. These major employers across Virginia metro areas are actively hiring data analytics graduates. Click employer names to view current job openings.

Data Analytics Jobs in Northern Virginia

VA

Northern Virginia is home to Amazon HQ2, major data center infrastructure, and the largest concentration of defense contractors.

Nearby cities: Arlington, Tysons, Reston, Herndon, Ashburn, McLean

Amazon (AWS)
Cloud Computing
Microsoft
Enterprise Software/Cloud
Google
Search/Cloud/AI
Meta
Social/VR/AI
Capital One
Financial Technology
Northrop Grumman
Defense/Aerospace
Leidos
Defense IT
SAIC
Defense IT
Booz Allen Hamilton
Consulting/Defense
Appian
Enterprise Software

Data Analytics Jobs in Richmond

VA

Richmond hosts Capital One's main campus and a growing fintech ecosystem.

Nearby cities: Glen Allen, Midlothian, Short Pump

Capital One
Financial Technology
Genworth Financial
Financial Services
CarMax
Automotive Tech

How to Apply to Data Analytics Programs in Virginia

1

Research Program Requirements

Review admission requirements for data analytics programs at your target schools. Requirements vary by institution and degree level.

2

Prepare Application Materials

Gather transcripts, test scores (SAT/ACT for undergrad, GRE for graduate), letters of recommendation, and personal statement.

3

Apply for Financial Aid

Complete the FAFSA by priority deadlines.

4

Submit Applications Before Deadlines

Apply early for priority consideration. Early action/decision deadlines are typically October-November; regular deadlines December-January.

5

Complete Enrollment Steps

Accept your offer, submit enrollment deposit, complete orientation requirements, and register for classes.

Data Analytics Transfer Pathways in Virginia

State Transfer System

Virginia's Guaranteed Admission Agreements create clear transfer pathways.

Students completing associate degrees at Virginia's 23 community colleges with required GPAs receive guaranteed admission to more than 30 four-year institutions (VCCS Transfer). For data analytics transfers, Virginia Tech requires 3.2-3.4 GPA, while VCU requires 2.5+ GPA. The Virginia Education Wizard (vawizard.org) helps plan course sequences.

How Transfers Work

Northern Virginia Community College leads data analytics transfer preparation.

As the state's largest community college, NVCC offers associate degrees designed for transfer to GMU, Virginia Tech, and other institutions. The college's location in Fairfax County provides internship access during the associate phase. Students should declare transfer intent by 15 credits earned.

Transfer Planning Tips

Financial incentives encourage community college completion.

The Two-Year College Transfer Grant (CTG) provides up to $3,000 annually for students completing associate degrees with 3.0+ GPA (SCHEV). An additional $1,000 is available for STEM majors. Community college tuition averaging $5,000/year combined with transfer grants reduces bachelor's degree costs by $30,000-$40,000.

Why Study Data Analytics in Virginia?

Industry & Workforce

Virginia offers exceptional data analytics opportunities with its unique concentration of federal agencies, defense contractors, and technology giants. Northern Virginia's Dulles Technology Corridor hosts Amazon HQ2 (25,000+ employees), AWS data centers handling 70% of global internet traffic, and headquarters for Northrop Grumman, Raytheon, and Boeing (NoVA EDA). The state's 385,000 tech workers create a robust ecosystem where data analytics professionals thrive.

Salary Outlook

Data Analytics salaries in Virginia exceed national averages.

Entry-level positions start at $70,000, with mid-career professionals earning $105,000 and senior specialists reaching $150,000+ (BLS OEWS). Cleared positions—common in Virginia's defense sector—command 15-25% premiums over equivalent commercial roles. Virginia's 5.75% top income tax rate maximizes take-home pay compared to high-tax states.

Regional Tech Hubs

Virginia Tech, UVA, and George Mason University lead data analytics education.

Virginia Tech's ABET-accredited programs and research expenditures exceeding $450 million provide world-class preparation. George Mason's Northern Virginia location enables internship access to defense contractors and technology companies. Richmond's growing tech scene and Hampton Roads' defense focus create career opportunities throughout the state. Compare programs in California, Texas, or explore our national rankings.

Data Analytics Job Market in Virginia

Employment Outlook

Virginia's data analytics job market shows strong demand across sectors.

The state employs 385,000 technology workers with consistent growth in data analytics roles (BLS OEWS 2024). Northern Virginia anchors state tech employment, with significant opportunities in Richmond's fintech sector and Hampton Roads' defense installations. Federal defense spending increased by $150 billion in 2025, directly supporting Virginia contractor employment.

Salaries by Metro

Regional salary variations reflect employer concentration.

Northern Virginia data analytics professionals earn $105,000-$150,000 in major technology roles, while Hampton Roads defense positions pay 15-20% less but offer lower cost of living. Richmond's emerging tech scene provides $70,000-$105,000 with housing costs 40% below Northern Virginia. Cleared positions command significant premiums across all regions.

High-Growth Sectors

High-growth sectors driving data analytics demand include: cloud infrastructure (AWS expansion), federal contractor modernization (CMMC compliance), financial services technology (Capital One, Navy Federal), and defense systems development. Defense contractors including Booz Allen Hamilton, CACI, Leidos, and Northrop Grumman actively recruit data analytics professionals. Virginia Tech's Engineering Expo connects over 250 companies with students (VT Expo). See computer science programs or cybersecurity degrees.

Data Analytics Curriculum & Specializations in Virginia

Core Requirements

Virginia data analytics programs combine theoretical foundations with practical skills.

Core curricula cover fundamental concepts, programming, and specialized topics relevant to data analytics careers. Virginia Tech's ABET-accredited programs emphasize industry practices and professional preparation. Programs require 120-128 credit hours over four years with hands-on laboratory components.

Degree Pathways

Technical depth prepares students for industry demands.

Advanced coursework incorporates industry-standard tools, emerging technologies, and professional practices. Virginia's proximity to major employers means curriculum often reflects current industry needs. Students develop proficiency through capstone projects, often sponsored by Northern Virginia technology companies and defense contractors.

Specialization Tracks

Hands-on experience is integrated throughout programs.

Capstone projects, internship requirements, and industry partnerships provide real-world application. Many programs require internship experience before graduation—opportunities abound in Northern Virginia. Graduate programs (30-36 credits) offer specializations aligned with career interests. Industry certifications complement academic credentials and validate technical competencies. See software engineering programs or data science degrees.

Online vs On-Campus Data Analytics Programs in Virginia

Online Program Growth

On-campus data analytics programs provide significant advantages.

Hands-on laboratory experience, team projects, and collaborative learning are essential for developing practical skills. Virginia Tech's facilities and UVA's engineering resources provide specialized environments. Career fair access, employer networking, and research opportunities favor on-campus students. For cleared positions with defense contractors, on-campus attendance typically facilitates security clearance sponsorship.

Accredited Online Options

Online programs suit working professionals seeking advancement.

George Mason, ODU, and several private Virginia institutions offer online data analytics-related degrees. These programs accommodate professionals seeking credentials or career advancement. Online tuition may be 10-20% lower than on-campus rates. Working professionals can apply job experience to coursework and implement techniques immediately.

Choosing Your Format

Hybrid approaches maximize flexibility and opportunity.

Some Virginia programs offer evening and weekend options for employed students. Community college coursework completed online can transfer to on-campus bachelor's programs. Students seeking federal or contractor employment should prioritize at least some on-campus experience for clearance sponsorship and employer recruiting. For private-sector careers not requiring clearances, online programs provide viable pathways.

Data Analytics by City in Virginia

Northern Virginia (Arlington, McLean, Tysons, Reston, Ashburn)

Northern Virginia (Arlington, McLean, Tysons, Reston, Ashburn) offers the highest data analytics salaries. The Dulles Technology Corridor contains AWS, Google, and Microsoft cloud operations requiring advanced expertise (NoVA EDA). Data Analytics salaries reach $105,000-$150,000 with cleared positions commanding additional premiums. Housing costs are substantial—median prices exceed $600,000—but compensation offsets the premium.

Richmond

Richmond emerges as Virginia's secondary data analytics hub. Capital One and regional financial institutions drive hiring. VCU produces local talent while lower cost of living (median home prices around $350,000) enables better quality of life. The emerging startup ecosystem creates opportunities. Remote work for Northern Virginia employers while living in Richmond provides excellent compensation-to-cost ratios.

Hampton Roads (Norfolk, Virginia Beach, Newport News)

Hampton Roads (Norfolk, Virginia Beach, Newport News) provides defense-focused data analytics careers. Newport News Shipbuilding and Navy contractors anchor the regional economy with salaries of $70,000-$105,000 and housing costs 50% below Northern Virginia. Charlottesville offers research positions at UVA, while Blacksburg provides Virginia Tech research opportunities. See software engineering programs.

Compare Online Data Analytics Programs in Virginia

View tuition costs, program formats & enrollment info

Find Data Analytics Programs Near You in Virginia

Search by city to find accredited data analytics programs ranked by our state methodology.

Data Analytics Degree Programs by City in Virginia

Data Analytics Degree Programs Near Virginia Beach, Virginia

As Virginia's largest city and home to a robust military presence, Virginia Beach hosts major defense contractors like Booz Allen Hamilton and General Dynamics that heavily employ data analysts for national security intelligence and operational analytics. The city's diverse economy—spanning military, tourism, and logistics—creates substantial demand for business intelligence professionals, while nearby universities including Old Dominion University offer graduate analytics programs tailored to the region's employer base.

Virginia Beach is located in Virginia Beach City, Virginia.

Associate's Data Analytics Degree Programs Near Virginia Beach, Virginia
  1. Northern Virginia Community College (Public) — State #1, 151.3 mi from Virginia Beach. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 22.9 mi from Virginia Beach. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 92.7 mi from Virginia Beach. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Virginia Beach, Virginia
  1. University of Virginia-Main Campus (Public) — State #2, 154.7 mi from Virginia Beach. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 44.2 mi from Virginia Beach. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 152.8 mi from Virginia Beach. Tuition: $10,095/year. Graduation rate: 81%.
Master's Data Analytics Degree Programs Near Virginia Beach, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 154.7 mi from Virginia Beach. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 44.2 mi from Virginia Beach. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 152.8 mi from Virginia Beach. Tuition: $10,095/year. Graduation rate: 81%.
Doctoral Data Analytics Degree Programs Near Virginia Beach, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 154.7 mi from Virginia Beach. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 44.2 mi from Virginia Beach. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 152.8 mi from Virginia Beach. Tuition: $10,095/year. Graduation rate: 81%.

Data Analytics Degree Programs Near Richmond, Virginia

Richmond's financial services sector and state government agencies create a concentrated hub for data analytics roles, particularly in banking, insurance, and policy analysis; Capital One, CarMax, and the Virginia Department of Health all maintain significant analytics operations in the metro area. Virginia Commonwealth University and the University of Richmond both offer data science and business analytics programs, positioning the city as an accessible entry point for graduates seeking local employment.

Richmond is located in Henrico County, Virginia.

Associate's Data Analytics Degree Programs Near Richmond, Virginia
  1. Northern Virginia Community College (Public) — State #1, 86.7 mi from Richmond. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 69.3 mi from Richmond. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, in Richmond. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Richmond, Virginia
  1. Virginia Polytechnic Institute and State University (Public) — State #1, 162.9 mi from Richmond. Tuition: $12,698/year. Graduation rate: 95%.
  2. University of Virginia-Main Campus (Public) — State #2, 63.1 mi from Richmond. Tuition: $18,823/year. Graduation rate: 96%.
  3. William & Mary (Public) — State #3, 48.5 mi from Richmond. Tuition: $18,253/year. Graduation rate: 94%.
Master's Data Analytics Degree Programs Near Richmond, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 63.1 mi from Richmond. Tuition: $18,823/year. Graduation rate: 96%.
  2. Virginia Polytechnic Institute and State University (Public) — State #2, 162.9 mi from Richmond. Tuition: $12,698/year. Graduation rate: 95%.
  3. William & Mary (Public) — State #3, 48.5 mi from Richmond. Tuition: $18,253/year. Graduation rate: 94%.
Doctoral Data Analytics Degree Programs Near Richmond, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 63.1 mi from Richmond. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 48.5 mi from Richmond. Tuition: $18,253/year. Graduation rate: 94%.
  3. Virginia Polytechnic Institute and State University (Public) — State #3, 162.9 mi from Richmond. Tuition: $12,698/year. Graduation rate: 95%.

Data Analytics Degree Programs Near Norfolk, Virginia

As the heart of Hampton Roads' naval operations and port economy, Norfolk supports a massive analytics ecosystem around Sentara Healthcare, the Navy's logistical intelligence operations, and maritime logistics firms requiring supply chain and operational analytics expertise. Old Dominion University's proximity and nearby Norfolk State University provide data analytics pipeline talent, while the region's military-industrial focus creates stability and consistent demand for BI developers and predictive analytics specialists.

Norfolk is located in Norfolk City, Virginia.

Associate's Data Analytics Degree Programs Near Norfolk, Virginia
  1. Northern Virginia Community College (Public) — State #1, 145.8 mi from Norfolk. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 16.2 mi from Norfolk. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 85.6 mi from Norfolk. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Norfolk, Virginia
  1. University of Virginia-Main Campus (Public) — State #2, 147.5 mi from Norfolk. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 37.3 mi from Norfolk. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 147.2 mi from Norfolk. Tuition: $10,095/year. Graduation rate: 81%.
Master's Data Analytics Degree Programs Near Norfolk, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 147.5 mi from Norfolk. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 37.3 mi from Norfolk. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 147.2 mi from Norfolk. Tuition: $10,095/year. Graduation rate: 81%.
Doctoral Data Analytics Degree Programs Near Norfolk, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 147.5 mi from Norfolk. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 37.3 mi from Norfolk. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 147.2 mi from Norfolk. Tuition: $10,095/year. Graduation rate: 81%.

Data Analytics Degree Programs Near Lynchburg, Virginia

Lynchburg is a smaller city where data analytics work is primarily available through healthcare systems like Centra Health and remote opportunities, though Liberty University's growing engineering and business analytics programs offer local educational pathways. Analysts here typically either commute to Richmond (1 hour) for corporate roles or leverage remote positions with national analytics firms while enjoying lower cost of living.

Lynchburg is located in Lynchburg City, Virginia.

Associate's Data Analytics Degree Programs Near Lynchburg, Virginia
  1. Northern Virginia Community College (Public) — State #1, 145.2 mi from Lynchburg. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 153.1 mi from Lynchburg. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 94.7 mi from Lynchburg. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Lynchburg, Virginia
  1. Virginia Polytechnic Institute and State University (Public) — State #1, 69.6 mi from Lynchburg. Tuition: $12,698/year. Graduation rate: 95%.
  2. University of Virginia-Main Campus (Public) — State #2, 57.9 mi from Lynchburg. Tuition: $18,823/year. Graduation rate: 96%.
  3. William & Mary (Public) — State #3, 135.7 mi from Lynchburg. Tuition: $18,253/year. Graduation rate: 94%.
Master's Data Analytics Degree Programs Near Lynchburg, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 57.9 mi from Lynchburg. Tuition: $18,823/year. Graduation rate: 96%.
  2. Virginia Polytechnic Institute and State University (Public) — State #2, 69.6 mi from Lynchburg. Tuition: $12,698/year. Graduation rate: 95%.
  3. William & Mary (Public) — State #3, 135.7 mi from Lynchburg. Tuition: $18,253/year. Graduation rate: 94%.
Doctoral Data Analytics Degree Programs Near Lynchburg, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 57.9 mi from Lynchburg. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 135.7 mi from Lynchburg. Tuition: $18,253/year. Graduation rate: 94%.
  3. Virginia Polytechnic Institute and State University (Public) — State #3, 69.6 mi from Lynchburg. Tuition: $12,698/year. Graduation rate: 95%.

Data Analytics Degree Programs Near Vienna, Virginia

Vienna sits in the heart of Fairfax County's technology corridor, making it a satellite hub for major analytics employers including Amazon Web Services, Booz Allen Hamilton, and countless federal contractors focused on data-driven defense and intelligence work. Proximity to Northern Virginia Community College and universities across the DC metro area provides continuous talent supply, while the region's concentration of analytics consulting firms offers abundant career advancement opportunities for BI developers and data engineers.

Vienna is located in Fairfax County, Virginia.

Associate's Data Analytics Degree Programs Near Vienna, Virginia
  1. Northern Virginia Community College (Public) — State #1, 5.8 mi from Vienna. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 135.5 mi from Vienna. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 89.4 mi from Vienna. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Vienna, Virginia
  1. University of Virginia-Main Campus (Public) — State #2, 91.8 mi from Vienna. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 117.4 mi from Vienna. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 7.1 mi from Vienna. Tuition: $10,095/year. Graduation rate: 81%.
Master's Data Analytics Degree Programs Near Vienna, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 91.8 mi from Vienna. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 117.4 mi from Vienna. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 7.1 mi from Vienna. Tuition: $10,095/year. Graduation rate: 81%.
Doctoral Data Analytics Degree Programs Near Vienna, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 91.8 mi from Vienna. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 117.4 mi from Vienna. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 7.1 mi from Vienna. Tuition: $10,095/year. Graduation rate: 81%.

Data Analytics Degree Programs Near Newport News, Virginia

Newport News is anchored by Huntington Ingalls Industries' massive shipbuilding operations and the adjacent Christopher Newport University, creating specialized demand for manufacturing analytics, supply chain optimization, and predictive maintenance data roles. The city offers strong opportunities for analysts willing to specialize in industrial and defense-sector analytics, though the job market is narrower than larger Virginia metros.

Newport News is located in Newport News City, Virginia.

Associate's Data Analytics Degree Programs Near Newport News, Virginia
  1. Northern Virginia Community College (Public) — State #1, 126.5 mi from Newport News. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 5 mi from Newport News. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 65.2 mi from Newport News. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Newport News, Virginia
  1. University of Virginia-Main Campus (Public) — State #2, 127.4 mi from Newport News. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 16.5 mi from Newport News. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 127.7 mi from Newport News. Tuition: $10,095/year. Graduation rate: 81%.
Master's Data Analytics Degree Programs Near Newport News, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 127.4 mi from Newport News. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 16.5 mi from Newport News. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 127.7 mi from Newport News. Tuition: $10,095/year. Graduation rate: 81%.
Doctoral Data Analytics Degree Programs Near Newport News, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 127.4 mi from Newport News. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 16.5 mi from Newport News. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 127.7 mi from Newport News. Tuition: $10,095/year. Graduation rate: 81%.

Data Analytics Degree Programs Near Arlington, Virginia

Arlington functions as a de facto analytics capital due to its concentration of federal contractors (Booz Allen Hamilton, DynCorp, SAIC, Accenture) and government agencies requiring extensive intelligence and business analytics expertise across defense, homeland security, and policy sectors. The county's proximity to Georgetown University, George Mason University, and numerous DC-area institutions creates abundant talent and networking opportunities, though cost of living significantly exceeds other Virginia cities.

Arlington is located in Arlington County, Virginia.

Associate's Data Analytics Degree Programs Near Arlington, Virginia
  1. Northern Virginia Community College (Public) — State #1, 8.7 mi from Arlington. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 131.1 mi from Arlington. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 88.8 mi from Arlington. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Arlington, Virginia
  1. University of Virginia-Main Campus (Public) — State #2, 96.5 mi from Arlington. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 113.7 mi from Arlington. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 12.3 mi from Arlington. Tuition: $10,095/year. Graduation rate: 81%.
Master's Data Analytics Degree Programs Near Arlington, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 96.5 mi from Arlington. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #3, 113.7 mi from Arlington. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 12.3 mi from Arlington. Tuition: $10,095/year. Graduation rate: 81%.
Doctoral Data Analytics Degree Programs Near Arlington, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 96.5 mi from Arlington. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 113.7 mi from Arlington. Tuition: $18,253/year. Graduation rate: 94%.
  3. George Mason University (Public) — State #4, 12.3 mi from Arlington. Tuition: $10,095/year. Graduation rate: 81%.

Data Analytics Degree Programs Near Danville, Virginia

Danville is a small, rural city in south-central Virginia with limited local analytics employment; most data professionals here work remotely or commute to nearby research centers, though the city's economic development initiatives and proximity to Averett University provide modest local opportunities. Analysts seeking Danville-based roles should expect to focus on remote positions or relocate to nearby Greensboro/Research Triangle for concentrated analytics job markets.

Danville is located in Danville City, Virginia.

Associate's Data Analytics Degree Programs Near Danville, Virginia
  1. Northern Virginia Community College (Public) — State #1, 195.8 mi from Danville. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 168.6 mi from Danville. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 129.2 mi from Danville. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Danville, Virginia
  1. Virginia Polytechnic Institute and State University (Public) — State #1, 72 mi from Danville. Tuition: $12,698/year. Graduation rate: 95%.
  2. University of Virginia-Main Campus (Public) — State #2, 112.3 mi from Danville. Tuition: $18,823/year. Graduation rate: 96%.
  3. William & Mary (Public) — State #3, 156.5 mi from Danville. Tuition: $18,253/year. Graduation rate: 94%.
Master's Data Analytics Degree Programs Near Danville, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 112.3 mi from Danville. Tuition: $18,823/year. Graduation rate: 96%.
  2. Virginia Polytechnic Institute and State University (Public) — State #2, 72 mi from Danville. Tuition: $12,698/year. Graduation rate: 95%.
  3. William & Mary (Public) — State #3, 156.5 mi from Danville. Tuition: $18,253/year. Graduation rate: 94%.
Doctoral Data Analytics Degree Programs Near Danville, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 112.3 mi from Danville. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 156.5 mi from Danville. Tuition: $18,253/year. Graduation rate: 94%.
  3. Virginia Polytechnic Institute and State University (Public) — State #3, 72 mi from Danville. Tuition: $12,698/year. Graduation rate: 95%.

Data Analytics Degree Programs Near Roanoke, Virginia

Roanoke's healthcare sector—led by Carilion Clinic, a major health system—and its growing tech startup ecosystem create mid-sized demand for healthcare analytics, clinical data management, and business intelligence roles. Virginia Tech's proximity (45 minutes away) in Blacksburg, combined with Roanoke College and the city's emerging data science initiatives, positions it as an affordable alternative to Northern Virginia with solid growth potential for early-career analysts.

Roanoke is located in Roanoke City, Virginia.

Associate's Data Analytics Degree Programs Near Roanoke, Virginia
  1. Northern Virginia Community College (Public) — State #1, 183.9 mi from Roanoke. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 196.4 mi from Roanoke. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 139.6 mi from Roanoke. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Roanoke, Virginia
  1. Virginia Polytechnic Institute and State University (Public) — State #1, 24.7 mi from Roanoke. Tuition: $12,698/year. Graduation rate: 95%.
  2. University of Virginia-Main Campus (Public) — State #2, 96.2 mi from Roanoke. Tuition: $18,823/year. Graduation rate: 96%.
  3. William & Mary (Public) — State #3, 179.8 mi from Roanoke. Tuition: $18,253/year. Graduation rate: 94%.
Master's Data Analytics Degree Programs Near Roanoke, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 96.2 mi from Roanoke. Tuition: $18,823/year. Graduation rate: 96%.
  2. Virginia Polytechnic Institute and State University (Public) — State #2, 24.7 mi from Roanoke. Tuition: $12,698/year. Graduation rate: 95%.
  3. William & Mary (Public) — State #3, 179.8 mi from Roanoke. Tuition: $18,253/year. Graduation rate: 94%.
Doctoral Data Analytics Degree Programs Near Roanoke, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 96.2 mi from Roanoke. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 179.8 mi from Roanoke. Tuition: $18,253/year. Graduation rate: 94%.
  3. Virginia Polytechnic Institute and State University (Public) — State #3, 24.7 mi from Roanoke. Tuition: $12,698/year. Graduation rate: 95%.

Data Analytics Degree Programs Near Petersburg, Virginia

Petersburg is a small city where analytics employment is limited, though it borders the Richmond metro area (25 minutes) and benefits from growing state government data initiatives; analysts typically base themselves in nearby Richmond while considering Petersburg's lower housing costs. The city lacks dedicated analytics educational programs locally, making it better suited for remote workers or those commuting to regional hubs rather than primary job seekers in the field.

Petersburg is located in Chesterfield County, Virginia.

Associate's Data Analytics Degree Programs Near Petersburg, Virginia
  1. Northern Virginia Community College (Public) — State #1, 111 mi from Petersburg. Tuition: $5,550/year.
  2. Virginia Peninsula Community College (Public) — State #2, 55.4 mi from Petersburg. Tuition: $4,818/year.
  3. J Sargeant Reynolds Community College (Public) — State #3, 28.2 mi from Petersburg. Tuition: $4,881/year.
Bachelor's Data Analytics Degree Programs Near Petersburg, Virginia
  1. Virginia Polytechnic Institute and State University (Public) — State #1, 166.2 mi from Petersburg. Tuition: $12,698/year. Graduation rate: 95%.
  2. University of Virginia-Main Campus (Public) — State #2, 81.9 mi from Petersburg. Tuition: $18,823/year. Graduation rate: 96%.
  3. William & Mary (Public) — State #3, 38.3 mi from Petersburg. Tuition: $18,253/year. Graduation rate: 94%.
Master's Data Analytics Degree Programs Near Petersburg, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 81.9 mi from Petersburg. Tuition: $18,823/year. Graduation rate: 96%.
  2. Virginia Polytechnic Institute and State University (Public) — State #2, 166.2 mi from Petersburg. Tuition: $12,698/year. Graduation rate: 95%.
  3. William & Mary (Public) — State #3, 38.3 mi from Petersburg. Tuition: $18,253/year. Graduation rate: 94%.
Doctoral Data Analytics Degree Programs Near Petersburg, Virginia
  1. University of Virginia-Main Campus (Public) — State #1, 81.9 mi from Petersburg. Tuition: $18,823/year. Graduation rate: 96%.
  2. William & Mary (Public) — State #2, 38.3 mi from Petersburg. Tuition: $18,253/year. Graduation rate: 94%.
  3. Virginia Polytechnic Institute and State University (Public) — State #3, 166.2 mi from Petersburg. Tuition: $12,698/year. Graduation rate: 95%.

Coding Bootcamps: An Alternative Pathway

Coding bootcamps offer an accelerated pathway into tech careers. For those in Virginia considering alternatives to traditional degrees, here's what you need to know about this intensive learning format.

What is a Coding Bootcamp?

A coding bootcamp is an intensive, short-term training program (typically 12-24 weeks) that teaches practical programming skills through hands-on projects. Unlike traditional degrees, bootcamps focus exclusively on job-ready skills and often include career services to help graduates land their first tech role.

Who Bootcamps Are Best For

  • Career changers looking to enter tech quickly
  • Professionals wanting to upskill or transition roles
  • Self-taught developers seeking structured training
  • Those unable to commit to a 4-year degree timeline

What People Love

Based on discussions from r/codingbootcamp, r/cscareerquestions, and r/learnprogramming

  • SQL and visualization skills transfer directly to the job
  • More entry-level analytics roles available than data science
  • Excel, Tableau, and Power BI are in high demand
  • Shorter bootcamps (3-6 months) get you working faster
  • Business intelligence skills open doors across industries

Common Concerns

Honest feedback from bootcamp graduates and industry professionals

  • Analytics roles may have lower salary ceiling than engineering
  • Some programs over-promise on 'data science' when teaching analytics
  • Advanced analytics still requires solid statistics foundation
  • Tool-focused learning may not prepare for strategy discussions
  • Competition from self-taught analysts with domain expertise
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Programs for Data Analytics careers:

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Top Ranked Data Analytics Degree Programs in Other States

StateTotal ProgramsMedian TuitionTop Program
Best Data Analytics Degree Programs in California19$11,834University of Southern California
Best Data Analytics Degree Programs in Texas16$30,694The University of Texas at Dallas
Best Data Analytics Degree Programs in New York17$45,450New York University
Best Data Analytics Degree Programs in Florida13$4,640University of Florida
Best Data Analytics Degree Programs in Washington8$11,524University of Washington-Seattle Campus
Best Data Analytics Degree Programs in Massachusetts12$59,750Bridgewater State University
Best Data Analytics Degree Programs in Illinois21$36,950University of Illinois Urbana-Champaign
Best Data Analytics Degree Programs in Georgia4$33,080Emory University

Data Analytics in Virginia: FAQ

How We Rank Data Analytics Degree Programs

Based on 50 programs from IPEDS 2023

We analyzed 50 data analytics degree programs in Virginia using IPEDS 2023 data and BLS labor statistics. Our rankings are produced algorithmically without editorial intervention, ensuring objectivity and reproducibility.

Ranking Factors

Program Completions35%

Number of graduates per year in this specific field (CIP code). Larger programs indicate established departments with more resources, course offerings, and career services. Measured from IPEDS Completions data.

Graduation Rate25%

Percentage of students completing their degree within 150% of expected time (6 years for bachelor's, 3 years for associate's). Higher rates indicate better student support and program quality. Source: IPEDS Graduation Rates survey.

Selectivity20%

Admission rate (lower = more selective). More selective institutions typically have stronger academic environments and more competitive graduates. For open-admission institutions, we use graduation rates as a proxy for quality.

Career Outcomes20%

Regional salary data for data analytics graduates. Virginia median salary of $126,100 is factored into institutional scores based on local job market strength.

Ranking Categories

Best Programs

Overall quality using all four factors weighted as shown above. Ideal for students seeking the strongest academic experience.

Online Programs

Same methodology, filtered to schools with fully online or hybrid options (IPEDS Distance Education data). Some schools may have lower graduation rates due to different student demographics.

Most Affordable

Ranked primarily by net cost (tuition minus average institutional aid), with quality factors as tiebreakers. Best for cost-conscious students.

Data Sources

  • IPEDS 2023Institutional characteristics, completions, graduation rates
  • BLS OEWS 2024State and metro salary data by occupation
  • CIP Code MappingPrograms identified using Classification of Instructional Programs codes

Data Sources

Institutional characteristics, completions, graduation rates

Virginia salary and employment data

Official University Websites

Program details and admissions information

Last Updated: February 15, 2026. Rankings based on IPEDS 2023 data. Salary data from BLS OEWS May 2024.

Was this ranking helpful for your college search?
Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

Data Analytics Degree Programs in Virginia — Detailed School Profiles

Best Bachelor's Data Analytics Degree Programs in Virginia

Virginia Polytechnic Institute and State University — Blacksburg, VA

Key Distinction: Capstone Project Program with external corporate partners solving real-world data problems. Integration of three disciplines: Mathematics, Statistics, and Computer Science

Hakia Insight: Virginia Tech's CMDA capstone requirement pairs students with external corporate partners on real problems, meaning undergraduates leave with portfolio projects directly pulled from Boeing and NASA's actual workflows.

The B.S. in Computational Modeling and Data Analytics (CMDA) is Virginia Tech's undergraduate big data degree, housed within the Academy of Data Science. The program integrates expertise from Mathematics, Statistics, and Computer Science departments, offering innovative courses that emphasize applied computation techniques. Students gain flexibility through elective choices, disciplinary tracks, minors, or double majors to specialize in areas of interest. The program culminates in a Capstone Project where students work with external corporate partners to solve complex, real-world data problems. Graduates are equipped with strong foundations in applied mathematics, statistics, and scientific computing for careers across diverse sectors including tech, finance, healthcare, government, and sustainability.

Programs Offered
  • Bachelor of Science in Computational Modeling and Data Analytics — 4 years, on-campus. BS
Industry Partners
  • NASA (aerospace)
  • Leidos (tech)
  • Boeing (aerospace)
  • Advance Auto (automotive)
  • Norfolk Southern (transportation)
  • Lockheed Martin (aerospace)
Career Outcomes

Top Employers: intel.

Notable Faculty
  • Holly Caldwell — program contact
  • Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
  • Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow

Location Advantages:

University of Virginia-Main Campus — Charlottesville, VA

Key Distinction: Mandatory capstone project (DS 4022) requiring students to propose, design, develop, and present data-driven systems in groups with public publication of results. Emphasis on real-world problem-solving integrated throughout curriculum

Hakia Insight: UVA's mandatory DS 4022 capstone requires public publication of results—graduates don't just complete a project, they build a professional portfolio piece discoverable by recruiters before they've even applied for jobs.

The B.S. in Data Science (BSDS) is a 120-credit program structured around four core domains: Systems, Design, Analytics, and Value. Students complete a three-year major curriculum after prerequisite coursework (DS 1001 and DS 1002) in their first year. The program emphasizes hands-on, real-world problem-solving through coursework in data programming, machine learning, data engineering, ethics, and explainable AI. A capstone project course (DS 4022) requires students to propose, develop, and present their own data-driven systems in groups, with results published publicly. Students select at least one core concentration (Analytics, Systems, Design, or Value) and may pursue additional collaborative concentrations in fields like Accounting, Astronomy, Environmental Science, or Neuroscience. According to LinkedIn's Emerging Jobs Report, data science is one of the top three fastest-growing jobs. The U.S. Bureau of Labor Statistics projects 36% employment growth for data scientists over the next decade with approximately 20,800 annual job openings. Graduates qualify for the +1 M.S. in Data Science program without standardized test scores or additional applications. Career support includes one-on-one coaching, industry-led technical talks, and professional development funds.

Programs Offered
  • Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
  • Darden School of Data Science Collaboratory (DCADS)
  • The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
  • Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
  • Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
  • Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis

Location Advantages:

William & Mary — Williamsburg, VA

Key Distinction: Integrated Foundation Semester with business simulations and team-based learning. Hands-on technical training in Excel and Visual Basic for Applications (VBA)

Hakia Insight: William & Mary's integrated Foundation Semester teaches Excel and VBA not as standalone tools but embedded in live business simulations, ensuring students understand *why* each skill matters before their first internship.

William & Mary's Bachelor of Science in Business Analytics prepares students for careers in data-driven decision-making through a comprehensive curriculum combining business fundamentals with advanced analytics techniques. The program requires completion of a competitive core curriculum (38 credits) covering business perspectives, marketing, finance, and introductory analytics, followed by specialization in either Data Science or Supply Chain (12 credits minimum). Students develop hands-on skills in Excel, Visual Basic for Applications, business intelligence tools, and predictive analytics through courses like Developing Business Intelligence (BUAD 466) and Predictive Analytics (BUAD 467). The program emphasizes practical application through case studies, business simulations, visualization models, and decision-making exercises. Graduates are prepared for roles in business intelligence, data analysis, and strategic operations management across industries.

Programs Offered
  • Bachelor of Science in Business Analytics — 4 years, on-campus. BS
Industry Partners
  • Google (tech)
  • Amazon Web Services (tech)
Career Outcomes

Top Employers: Intel.

Notable Faculty
  • Dr. Guillermo Rodriguez-Abitia — Faculty Director, Online MS in Business Analytics
  • Dr. Cristiano Fanelli — AI-Driven Nuclear Physics Research

Location Advantages:

Averett University — Danville, VA

Hakia Insight: Averett University's Data Analytics programs provide foundational entry-level preparation, best suited for students seeking accessible pathways into analytics roles within underserved regional markets.

At the bachelor's level, based on the limited information available, no specific Data Analytics program details were found in the provided content to determine unique program strengths.

Programs Offered
  • Bachelor of Science in Data Analytics — 4 years, on-campus
  • Bachelor of Arts in Data Analytics — 4 years, online

Location Advantages:

George Mason University — Fairfax, VA

Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.

Hakia Insight: George Mason's decades of sociological research infrastructure means students analyzing social data (extremism trends, disease surveillance, climate factors) work with institutional knowledge that pure tech programs simply don't possess.

At the bachelor's level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.

Programs Offered
  • Bachelor of Science in Data Analytics — 4 years, on-campus
  • Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
  • James Baldo — program director
Admissions

GPA Requirement: 3.00.

Requirements: calculus, statistics, computer programming

Location Advantages:

University of Lynchburg — Lynchburg, VA

Key Distinction: The program combines theoretical foundations with practical applications in machine learning and statistical genetics, producing graduates who have secured prominent positions at major technology companies like Microsoft and Amazon.

Hakia Insight: University of Lynchburg's $107K median graduate salary reflects an unusual niche strength: the program's focus on statistical genetics and machine learning has positioned it as a pipeline to biotech roles where domain expertise commands premium compensation.

At the bachelor's level, the University of Lynchburg offers comprehensive data analytics education through multiple pathways, including an undergraduate Bachelor of Science in Statistics and Data Science and a professional Certificate in Data Analysis. The undergraduate program is designed for students interested in the scientific study of learning from data, teaching collection, analysis, and interpretation of information along with communication of findings. Students learn to manage and analyze complex datasets with opportunities to explore advanced topics such as machine learning and statistical genetics. The program prepares graduates to solve real-world problems across diverse fields including business, social sciences, biology, sports, and medicine. Alumni have secured prominent roles at major technology companies like Microsoft and Amazon. The Certificate in Data Analysis is an online program that builds essential data analytics and interpretation skills, helping participants learn to collect, organize, and analyze data to extract actionable insights and make data-driven decisions.

Programs Offered
  • Bachelor of Science in Data Analytics — 4 years, on-campus
  • Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
  • Microsoft (corporate)
  • Amazon (corporate)
Career Outcomes

Median Salary: $107,309. Top Employers: Microsoft, Amazon.

Admissions

Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.

Requirements:

Accreditations and Certifications
  • Southern Association of Colleges and Schools Accredited

Location Advantages:

Roanoke College — Salem, VA

Key Distinction: Roanoke College's Data Science program combines the rigor of quantitative analysis with the personalized attention and interdisciplinary approach characteristic of a premier liberal arts institution.

Hakia Insight: Roanoke College's liberal arts model means data science majors study alongside philosophy and history students, creating the rare environment where quantitative rigor gets stress-tested against ethical reasoning before entering industry.

At the bachelor's level, roanoke College offers a Data Science program that provides students with a comprehensive foundation in data analysis, statistical methods, and computational techniques. The program appears to be part of the college's broader academic offerings, which include both undergraduate and graduate programs. Located in a supportive liberal arts environment, the Data Science program at Roanoke College combines theoretical knowledge with practical applications. The college maintains a strong academic reputation and offers various technological resources through facilities like the McConnon Discovery Center, which likely supports science and technology programs. Students benefit from small class sizes and personalized attention typical of a liberal arts college setting, while gaining skills in data analysis, programming, and statistical modeling that are highly valued in today's data-driven economy.

Programs Offered
  • Bachelor of Science in Data Analytics — 4 years, on-campus
  • Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
  • McConnon Discovery Center

Location Advantages:

Best Master's Data Analytics Degree Programs in Virginia

University of Virginia-Main Campus — Charlottesville, VA

Key Distinction: Two format options: residential (11 months, full-time immersion) and online (for working professionals). Team capstone projects sponsored by corporate and government partners

Hakia Insight: UVA's dual-format Master's degree lets full-time students complete 11 months of immersive capstone work while working professionals build the same credential online—both formats draw sponsorship from identical corporate partners, eliminating the credential hierarchy.

The M.S. in Data Science at University of Virginia's School of Data Science offers two formats: a residential 11-month program (33 credits) in Charlottesville for full-time immersion, and an online option designed for working professionals. The residential program emphasizes hands-on learning with team capstone projects sponsored by corporate and government partners. The curriculum covers natural-language processing, machine learning, text analytics, and deep learning. Students benefit from world-class faculty with industry experience, industry leader connections, and a vibrant cohort experience. An online format is available for those balancing work and study. The program attracts students from diverse backgrounds including business, computer science, engineering, economics, and statistics, preparing graduates to become leaders in data science with emphasis on ethical and responsible data use.

Programs Offered
  • M.S. in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
  • Darden School of Data Science Collaboratory (DCADS)
  • The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
  • Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
  • Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
  • Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis

Location Advantages:

George Mason University — Fairfax, VA

Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.

Hakia Insight: Mason's applied focus on predicting social trends like extremism and disease threats gives students rare access to sociological datasets and methodology that most analytics programs treat as peripheral—a distinctive advantage for those targeting policy, intelligence, or public health sectors.

At the master's level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.

Programs Offered
  • Master of Science in Data Analytics — 1-2 years, on-campus
  • Master of Arts in Data Analytics — 1-2 years, online
Notable Faculty
  • James Baldo — program director
Admissions

GPA Requirement: 3.00.

Requirements: calculus, statistics, computer programming

Location Advantages:

William & Mary — Williamsburg, VA

Key Distinction: Accelerated two-semester completion. STEM-designated program

Hakia Insight: William & Mary compresses a rigorous analytics curriculum into two semesters while maintaining STEM designation, a feat that simultaneously shrinks tuition exposure and preserves the visa sponsorship pathway that most accelerated programs sacrifice.

William & Mary's STEM-designated MS in Business Analytics is a rigorous two-semester program designed for working professionals seeking rapid career advancement in data science. The curriculum uniquely combines business context with advanced technical training, including dedicated coursework in Machine Learning, Artificial Intelligence, and Big Data. Students complete eight flexible, affordable prerequisite courses before matriculation, enabling immediate engagement with intermediate-to-advanced material. The capstone project addresses real business problems under real-world conditions with mentorship from Executive Partners. The program emphasizes effective communication of data insights alongside technical competency. Data scientists earn 36% more than other predictive analytics professionals, with the field ranking #1 for hiring growth (LinkedIn) and top 25 highest-paying jobs (Glassdoor). Graduates gain access to dedicated career support through the Graduate Career Management Center, positioning them for immediate post-degree employment in high-demand roles.

Programs Offered
  • MS in Business Analytics — 1-2 years, on-campus. MS
Industry Partners
  • Google (tech)
  • Amazon Web Services (tech)
Notable Faculty
  • Dr. Guillermo Rodriguez-Abitia — Faculty Director, Online MS in Business Analytics
  • Dr. Cristiano Fanelli — AI-Driven Nuclear Physics Research

Location Advantages:

Virginia Polytechnic Institute and State University — Blacksburg, VA

Key Distinction: Non-thesis track with real-world capstone project. Three pathway options: full-time in-person, accelerated 4+1 undergraduate-to-master's, and part-time hybrid (Northern Virginia)

Hakia Insight: Virginia Tech's three delivery models—full-time in-person, 4+1 pipeline, and part-time hybrid in Northern Virginia—aren't just convenient; they're designed to capture working professionals embedded in the aerospace and defense contractor corridor where NASA, Leidos, and Boeing concentrate their analytics hiring.

Virginia Tech's Master of Science in Data Science is a non-thesis, practice-focused degree designed for working professionals seeking career advancement in the high-demand data science field. The program offers three flexible pathways: a two-year full-time in-person option in Blacksburg, an accelerated 4+1 program allowing undergraduates to complete their master's in one additional year, and a part-time hybrid option based in Northern Virginia for maximum scheduling flexibility. Students combine rigorous technical training with real-world capstone projects in their second year, gaining hands-on experience from faculty with extensive industry backgrounds. The curriculum integrates domain expertise through electives in economics, environmental conservation, geosciences, and industrial engineering. With data scientist demand projected to grow 34% by 2034 according to the U.S. Bureau of Labor Statistics, graduates develop competitive skills to advance into senior analytics and data science roles. The program welcomes all majors and emphasizes translating data into organizational value.

Programs Offered
  • Master of Science in Data Science — 1-2 years, on-campus. MS
Industry Partners
  • NASA (aerospace)
  • Leidos (tech)
  • Boeing (aerospace)
  • Advance Auto (automotive)
  • Norfolk Southern (transportation)
  • Lockheed Martin (aerospace)
Notable Faculty
  • Holly Caldwell — program contact
  • Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
  • Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow

Location Advantages:

University of Management and Technology — Arlington, VA

Key Distinction: UMT's DBA program uniquely balances theoretical management knowledge with practical, how-to insights for technology-driven business environments, requiring students to complete a minimum of 60 doctoral-level credits with no transfer credit options to ensure comprehensive mastery.

Hakia Insight: UMT's Arlington location and 100% online format targets federal contractors and government workers already holding security clearances, positioning graduates for the uniquely lucrative GovTech analytics roles that require proximity to Northern Virginia networks rather than Silicon Valley ones.

UMT's data analytics program targets professionals seeking rapid, affordable credentials without lengthy full-time commitments. The curriculum compresses essential analytics competencies—data manipulation, statistical analysis, visualization, and basic machine learning—into focused courses designed for completion in 12-18 months. The program's distinction lies in its accessibility: tuition is significantly lower than peer institutions, and the online-first design accommodates full-time workers. Rather than attempting to cover cutting-edge research or specialized domains, UMT builds a solid foundation in analytics fundamentals and business intelligence tools that apply broadly across sectors. Students work with contemporary datasets and tools like Python, R, and Tableau in practical, project-based modules. The streamlined curriculum makes it ideal for career changers or those seeking credentials without the expense and time investment of traditional master's programs.

Programs Offered
  • Master of Science in Data Analytics — 1-2 years, on-campus
  • Master of Arts in Data Analytics — 1-2 years, online
Industry Partners
  • PMI Global Accreditation Center (corporate)
  • Fraternal Order of Police (nonprofit)
Accreditations and Certifications
  • PMI Global Accreditation Center for Project Management Education Programs (GAC)

Location Advantages: Arlington VA location100% online accessibility

Old Dominion University — Norfolk, VA

Key Distinction: ODU uniquely offers data analytics programs across multiple disciplines with five specialized concentration options at the graduate level and strong integration of business, mathematics, and computer science perspectives.

Hakia Insight: ODU's five specialized concentration options and three-lab ecosystem (ML-CSM, WS-DL, LAMP-SYS) let students anchor themselves in bioinformatics, web science, or systems medicine—depth that most regional master's programs don't attempt, reflected in the $104,700 median salary.

At the master's level, old Dominion University offers comprehensive data analytics programs spanning undergraduate to graduate levels through multiple colleges. The programs combine theoretical foundations with hands-on experience using industry-standard tools like SAS, R, Python, Tableau, and Excel. Students can choose from specialized tracks including Business Analytics (B.S.B.A.), Big Data Analytics in Mathematics (B.S.), Data Science (B.S.), and Data Science & Analytics (M.S.). The curriculum emphasizes real-world applications through capstone projects, internships, and project-based learning. Graduate students can specialize in Artificial Intelligence and Machine Learning, Business Intelligence and Analytics, Engineering and Big Data Analytics, Geospatial Analytics, or Physics. All programs are available both on-campus and online through ODUGlobal, providing flexibility for diverse student populations.

Programs Offered
  • Master of Science in Data Analytics — 1-2 years, on-campus
  • Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
  • Machine Learning and Computational Systems Medicine (ML-CSM) Lab
  • WS-DL Lab Web Science and Digital Libraries
  • LAMP-SYS Lab
  • NIRDS Lab
  • HiPSTERS
  • Center for Real-time Computing
Career Outcomes

Median Salary: $104,700.

Notable Faculty
  • Jing He — Bioinformatics and data analytics in protein structures
  • Michele Weigle — Web science and digital libraries
  • Mohammad Zubair — High performance computing and bioinformatics
  • Dushan Wadduwage — Machine learning and computational systems medicine
Admissions

Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.

Requirements: MATH 312, MATH 316, STAT 330, STAT 331, ENGL 110C

Location Advantages:

Radford University — Radford, VA

Key Distinction: Radford University's Data Analytics programs uniquely combine AACSB-accredited business education with hands-on industry partnerships through the Applied Research Center consortium and automatic SAS certification upon graduation.

Hakia Insight: Radford's automatic SAS certification upon graduation removes a $180+ certification bottleneck most students navigate separately after finishing their degree, while the Applied Research Center consortium embeds students in live regional projects rather than simulated capstones.

At the master's level, radford University offers comprehensive Data Analytics education through multiple pathways including an MBA with Business Analytics concentration and an MS in Data and Information Management. The MBA program is AACSB-accredited and features a partnership with SAS, the world's largest statistical software vendor, providing graduates with a career-relevant graduate certificate. Students learn predictive analytics, data mining, mathematical modeling, business forecasting, and big data analysis. The MS in Data and Information Management combines traditional classroom learning with practical experience through the Applied Research Center (ARC) consortium, where students work with industry partners on real problems. The program covers advanced technologies including Hadoop, Spark, and Hive, focusing on data architecture, modeling, storage, integration, quality, governance, security, and warehousing.

Programs Offered
  • Master of Science in Data Analytics — 1-2 years, on-campus
  • Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
  • Applied Research Center (ARC)
  • Social Media Analytics and Research Technology Lab (SMART Lab)
Industry Partners
  • SAS (corporate)
Notable Faculty
  • Jeff Pittges — Data and Information Management
Accreditations and Certifications
  • AACSB Accredited
  • SAS Graduate Certificate

Location Advantages: Applied Research Center consortium with regional industry partnersAccess to New River and Roanoke Valley business communities

Best Doctoral Data Analytics Degree Programs in Virginia

Virginia Polytechnic Institute and State University — Blacksburg, VA

Key Distinction: By combining elements of Statistics, Mathematics, and Computer Science in innovative, integrated courses, with an emphasis on techniques at the forefront of applied computation, CMDA imparts a suite of quantitative skills that the workplace is demanding.

Hakia Insight: Virginia Tech's doctoral program integrates Statistics, Mathematics, and Computer Science into a single unified CMDA framework rather than forcing students to navigate departmental silos—a structural advantage that produces the $80K median salary despite doctoral-level rigor typically commanding higher starting positions.

At the doctoral level, the CMDA program draws on expertise from Statistics, Mathematics, and Computer Science departments, combining elements in innovative, integrated courses with emphasis on applied computation. The program focuses on extracting information from large data sets, analyzing and solving problems by modeling, simulation, and optimization.

Programs Offered
  • Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
  • Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
  • NASA (aerospace)
  • Leidos (tech)
  • Boeing (aerospace)
  • Advance Auto (automotive)
  • Norfolk Southern (transportation)
  • Lockheed Martin (aerospace)
Career Outcomes

Median Salary: $80,000.

Notable Faculty
  • Holly Caldwell — program contact
  • Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
  • Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow

Location Advantages:

University of Virginia-Main Campus — Charlottesville, VA

Key Distinction: UVA's data analytics programs uniquely combine rigorous statistical foundations with business applications and ethical considerations, featuring collaborative capstone projects with industry partners and an integrated curriculum taught by world-class faculty with industry experience.

Hakia Insight: UVA's Darden collaboratory and Behavioral Lab embed ethics and business application into doctoral research design itself, meaning graduates publish work that already satisfies both academic rigor and industry relevance, not students who must retrofit their dissertations for jobs afterward.

The University of Virginia offers comprehensive data analytics education across multiple programs, including undergraduate minors, master's degrees, and doctoral pathways through the Statistics Department, Darden Business School, and School of Data Science. Programs focus on hands-on learning with real-world applications and ethical data science practices.

Programs Offered
  • Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
  • Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
  • Darden School of Data Science Collaboratory (DCADS)
  • The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
  • Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
  • Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
  • Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis

Location Advantages:

George Mason University — Fairfax, VA

Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.

Hakia Insight: George Mason's doctoral program, anchored in sociological research and global studies, trains students to work with the messiest, most consequential datasets—extremism, disease, climate—where traditional computer science PhDs often lack the domain context to frame questions, let alone answer them.

At the doctoral level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.

Programs Offered
  • Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
  • Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
  • James Baldo — program director
Admissions

GPA Requirement: 3.00.

Requirements: calculus, statistics, computer programming

Location Advantages: