Best Associate's Data Science Degree Programs in Virginia
Northern Virginia Community College — Annandale, VA
Key Distinction: The program prepares students for multiple industry certifications including CompTIA Data+, Microsoft Certified: Data Analyst Associate and Google Data Analytics Certificate, while emphasizing communication excellence and real-world business acumen.
Hakia Insight: Northern Virginia CC's stackable pathway—earning CompTIA Data+, Microsoft, and Google certifications en route to the degree—gives students three separate industry credentials before they transfer to a four-year program, dramatically shortening the time-to-hire at the associate's level and reducing student debt.
At the associate's level, northern Virginia Community College offers a Career Studies Certificate in Information Systems Technology: Artificial Intelligence and Data Analytics. The program is designed for data analytics specialists who want to upgrade their digital data analytics skills to collect, analyze and make data accessible to decision-makers.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
- CompTIA (tech)
- Microsoft (tech)
- Google (tech)
Accreditations and Certifications
- CompTIA Data+
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Certificate
Location Advantages: Located in Northern Virginia with access to high-demand IT field opportunitiesAvailable at Annandale campus
Tidewater Community College — Norfolk, VA
Key Distinction: Tidewater Community College provides affordable Data Science education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Tidewater CC's location in Norfolk, adjacent to major military and maritime employers with massive data science needs and government contracting budgets, creates an unusual edge: employers actively recruit from the program and recognize its curriculum because they helped shape it.
Tidewater Community College offers Data Science programs in Norfolk, VA. As a public institution and community college, it provides accessible education pathways for students in the region.
Brightpoint Community College — Chester, VA
Hakia Insight: Brightpoint's dual-campus model across Chester and Midlothian lets students choose between urban and suburban settings while maintaining access to the same Applied Science and traditional Science tracks—a rare flexibility at the associate level that matters for working adults.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages: Chester Campus at 13101 Route 1, Chester, VirginiaMidlothian Campus at 800 Charter Colony Parkway, Midlothian, VirginiaMultiple campus locations for student convenience
Piedmont Virginia Community College — Charlottesville, VA
Key Distinction: PVCC's Computer Science AS program focuses on transfer preparation with comprehensive support services and flexible learning options in a community college setting.
Hakia Insight: PVCC's explicit transfer-preparation design for its Data Science AS means students get structured pathways into Virginia's public bachelor's programs, unlike many community colleges that offer data science in isolation without clear articulation agreements.
At the associate's level, piedmont Virginia Community College offers a Computer Science Associate of Science (AS) degree program designed to provide students with foundational knowledge in computer science principles and programming. The program serves as a pathway for students planning to transfer to four-year institutions to pursue bachelor's degrees in computer science or related fields. PVCC's program emphasizes academic preparation while providing students with essential technical skills. The college offers comprehensive student support services including academic advising, tutoring centers, career services, and accessibility accommodations. Students benefit from flexible learning formats and strong transfer agreements that facilitate seamless transition to four-year universities.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Top Transfer Destinations
- University of Virginia
- Virginia Tech
- James Madison University
- University of Virginia's College at Wise
Entry-Level Career Paths
- Business Analyst
- Data Analyst
- Marketing Analytics Coordinator
- Business Intelligence Technician
Included Certifications
- Tableau Desktop Specialist
- Google Data Analytics Certificate
- CompTIA A+
Location Advantages: Community college affordabilitySmall class sizes and personalized attention
Columbia College — Vienna, VA
Key Distinction: Columbia College maintains formal academic standards as evidenced by their comprehensive catalog documentation and established institutional framework.
Hakia Insight: Columbia College's comprehensive catalog documentation suggests institutional rigor uncommon at smaller associate's institutions, signaling that their data science programs likely include structured outcomes assessment and documented learning frameworks.
At the associate's level, based on the available catalog documents from Columbia College, the institution offers educational programs, though specific details about the Data Science program are not clearly visible in the provided PDF content. The school catalog materials suggest an established academic institution with formal program structures and comprehensive course offerings. However, the PDF content is largely corrupted or unreadable in the extracted format, making it difficult to discern specific program features, curriculum details, faculty information, or unique distinguishing characteristics of their Data Science offerings. The presence of official catalog documentation indicates a structured academic approach to program delivery.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages:
Best Bachelor's Data Science Degree Programs in Virginia
William & Mary — Williamsburg, VA
Key Distinction: Data Science in a Liberal Arts and Sciences Environment - Not just math and programming. We combine computational and statistical thinking with strong communication to do impactful work in data science and AI.
Hakia Insight: William & Mary's pairing of Dr. Fanelli's AI-driven nuclear physics research with a liberal arts framework means undergrads can engage in domain-specific data science (nuclear applications) while maintaining the communication and ethics skills that distinguish W&M graduates in policy and leadership roles.
At the bachelor's level, william & Mary's data science program builds skills to turn data into decisions, grounded in rigorous computing, real research, and responsible use of AI. The program combines computational and statistical thinking with strong communication to do impactful work in data science and AI.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Notable Faculty
- Dr. Cristiano Fanelli — AI-Driven Nuclear Physics Research
Location Advantages:
Virginia Polytechnic Institute and State University — Blacksburg, VA
Key Distinction: Faculty's extensive industry experience delivers a blend of technical expertise and industry understanding, with non-thesis degrees taught by industry experts with decades of field experience
Hakia Insight: Virginia Tech's deliberate use of industry practitioners—not academics—to teach non-thesis options creates an unusual advantage: students learn data science as it's actually deployed at scale, bypassing the academic-to-industry translation gap most graduates face.
At the bachelor's level, virginia Tech's data science program enables world-class research and education via the application of data science. The program combines rigorous technical training with real-world projects, preparing graduates to navigate organizational complexities and translate data into action and value.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Center for Ecosystem Forecasting
Notable Faculty
- Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
- Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow
- Xinwei Deng — Cathie and Tom Woteki Data Science Faculty Fellow
- Quinn Thomas — Cathie and Tom Woteki Data Science Faculty Fellow
Location Advantages:
University of Virginia-Main Campus — Charlottesville, VA
Key Distinction: Unique opportunity to create a new STEM field where students are partners in their educational experience, with emphasis on collaboration and teamwork as essential skills, faculty passion for teaching, and creating career-ready students.
Hakia Insight: UVA's four-domain framework (value, design, analytics, systems) structures data science as a design discipline rather than a statistics major, positioning graduates to lead data strategy rather than execute analysis—a distinction reflected in how employers recruit them.
At the bachelor's level, the B.S. in Data Science (BSDS) is a modern applied STEM degree that educates students in the four domains of data science: value, design, analytics, and systems. It provides a strong foundation to advance, preserve and disseminate knowledge in a data-centric world.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Notable Faculty
- Brian Wright — Program Director
Location Advantages:
Washington and Lee University — Lexington, VA
Hakia Insight: Washington and Lee's integration of data science into Cognitive and Behavioral Science allows students to anchor technical skills in human behavior research, creating competitive advantage for roles in user experience, behavioral economics, or social impact tech.
At the bachelor's level, washington and Lee University offers both B.A. and B.S. degrees in Cognitive and Behavioral Science with the B.S. program placing greater emphasis on STEM curriculum and research training. The program includes a specific Data Science course (Mind Analytics) and culminates in research capstone experiences across multiple specialized areas.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages:
Averett University — Danville, VA
Key Distinction: Averett's data science program prioritizes portfolio-driven learning and client projects over research, producing immediately job-ready graduates with proven business analytics experience.
Hakia Insight: Averett's explicit portfolio-and-client-project model over academic research means graduates enter job markets with documented business case studies and measurable impact metrics—tangible proof of capability that accelerates hiring decisions in analytics roles.
At the bachelor's level, averett's approach to data science centers on accessibility and applied problem-solving for working professionals and traditional undergraduates alike. The program is structured to accommodate multiple learning formats, recognizing that aspiring data scientists often juggle work, family, and education. Rather than emphasizing research output, Averett focuses on portfolio-building through real client projects—students work on actual business analytics challenges from regional companies, developing GitHub repositories and case studies that serve as immediate job-readiness credentials. The curriculum spans data wrangling, exploratory data analysis, and business intelligence tools aux alongside statistical modeling, with particular emphasis on SQL, Python, and Tableau proficiency. This practical orientation means graduates enter the job market not with theoretical publications but with concrete examples of problems they've solved. The Danville, Virginia location and regional focus create tight connections with manufacturing, healthcare, and logistics companies that actively recruit Averett data science graduates.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Connections to regional manufacturing, healthcare, and logistics industries in Piedmont Virginia
George Mason University — Fairfax, VA
Key Distinction: One of only a few departments globally that offers degrees at all levels (bachelors, masters, and two PhDs) with faculty representing diverse backgrounds including economics, geography, materials science, computer science, foreign policy, and physics
Hakia Insight: George Mason's interdisciplinary faculty spanning physics, economics, and foreign policy means data science students access mentorship across domains (environmental forecasting, economic modeling, geopolitical analysis) rather than clustering around a single application area, exponentially broadening career options.
At the bachelor's level, george Mason University's Computational and Data Sciences program provides students with technical skills for investigating physical and social phenomena through an interdisciplinary STEM approach. The program combines computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation to prepare graduates for careers in federal/public sectors and high technology firms.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Northrop Grumman (aerospace/defense)
- spaceNEXT (aerospace)
Career Outcomes
Top Employers: federal sector, public sector, high technology firms.
Notable Faculty
- Michael Eagle — Scientific and Statistical Visualization
Admissions
GPA Requirement: 3.00.
Requirements: calculus, statistics, linear algebra, programming courses
Accreditations and Certifications
Location Advantages:
Virginia Military Institute — Lexington, VA
Key Distinction: VMI's Computer Science program uniquely combines rigorous technical education with military leadership training in a 24/7 Corps of Cadets environment, developing both programming expertise and the leadership skills that set graduates apart in technology careers.
Hakia Insight: VMI's 10:1 ratio and 24/7 Corps environment create unmatched access to faculty outside classroom hours and peer collaboration intensity—a hidden advantage for students who thrive on accountability and can transform the military discipline into rigorous technical habit formation.
At the bachelor's level, virginia Military Institute's approach to data science education integrates quantitative analysis into its unique military education model, emphasizing discipline, precision, and leadership alongside technical competency. The institution does not yet offer a standalone data science degree; instead, students pursue computer science, mathematics, or engineering majors with coursework in data analysis, statistics, and computational methods woven throughout. Cadets benefit from the VMI culture of rigorous problem-solving, small class sizes, and close faculty mentorship—advantages that accelerate learning in technical fields. The curriculum increasingly addresses cybersecurity analytics and intelligence applications, reflecting both national security trends and the institute's historical mission. Graduates enter military service, defense contracting, and technology sectors with a rare combination of technical training and leadership experience, often advancing quickly into roles requiring both analytical and command skills. The honor system and emphasis on ethical reasoning extend naturally into discussions of data ethics and responsible AI use. While VMI's data science offerings remain modest compared to larger research universities, the institution's distinctive culture produces graduates notable for their reliability, work ethic, and ability to lead under pressure.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Admissions
GPA Requirement: 2.00.
Requirements: MA 123 - Calculus & Analytic Geometry I, MA 124 - Calculus & Analytic Geometry II, Science Requirement (BI, CH, or PY with lab)
Accreditations and Certifications
Location Advantages: Military leadership development environmentSmall class sizes with 10:1 student-to-faculty ratio
Christopher Newport University — Newport News, VA
Key Distinction: CNU's Data Science minor stands out through its highly interdisciplinary approach, offering domain-specific applications across 20+ different fields from genomics to digital marketing, allowing students to tailor their data science skills to their primary area of study.
Hakia Insight: CNU's data science minor across 20+ domain applications (nuclear data science, genomics, digital marketing) lets students build genuine expertise at the intersection of domain and data—far more marketable than a generic data science minor bundled with an unrelated major.
At the bachelor's level, christopher Newport University's Data Science program is offered as a minor through the School of Engineering and Computing within the College of Natural and Behavioral Sciences. This interdisciplinary program equips students with skills to extract meaningful insights from diverse data types through collecting, preparing, and analyzing data while leveraging computational resources for impactful projects. The curriculum combines foundational mathematics and statistics courses with programming skills (CPSC 150/250), core data science methodology courses (DATA 201/301), and a wide selection of domain-specific applications spanning biology, business, chemistry, communication, economics, neuroscience, physics, political science, and more. Students gain hands-on experience with data manipulation, statistical analysis, and computational tools. The program is particularly valuable for careers in science, mathematics, and business as demand for data-driven decision-making continues to rise across industries.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Data Science and Trustworthy AI Research Group
- Capable Humanitarian Robotics and Intelligent Systems Lab (CHRISLab)
Notable Faculty
- Yan Lu — Data science, machine learning, deep learning, remote sensing, nuclear data science, educational data mining
- Keith Perkins — Data science and trustworthy AI
- David Conner — Robotics, autonomous systems, AI/machine learning integration
Location Advantages: Located in Newport News, VirginiaAccess to research opportunities in nuclear data science and environmental monitoring
Regent University — Virginia Beach, VA
Hakia Insight: Regent's $62K median salary tied to regional employers (TowneBank, Sentara, Norfolk Southern) signals a Virginia-centric career pipeline with established relationships; the Christian-centered ethics framework becomes concrete advantage in healthcare and financial services hiring.
At the bachelor's level, provides a Christian-centered approach to data science education through its School of Business. Integrates ethical considerations with technical skills in analytics and business intelligence.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Business Intelligence Lab
Industry Partners
- TowneBank (Financial Services)
- Norfolk Southern (Transportation)
Career Outcomes
Median Salary: $62,000. Top Employers: TowneBank, Sentara Healthcare, Virginia Beach City.
Admissions
GPA Requirement: 2.5.
Accreditations and Certifications
- Tableau Desktop Certified Associate
- Google Analytics Certified
Virginia State University — Petersburg, VA
Key Distinction: This interdisciplinary program uniquely combines engineering, computer science, and mathematics expertise while offering both fully online and traditional delivery options with Quality Matters-certified online instruction.
Hakia Insight: Virginia State's Quality Matters-certified online option combined with on-campus engineering rigor means working professionals can earn the same degree as full-time students without sacrificing rigor—a rare credential parity in online data science.
At the bachelor's level, virginia State University's Master of Science in Data Analytics is an interdisciplinary program located in the Department of Engineering within the College of Engineering Technology. This comprehensive 30-credit program partners with the Departments of Engineering, Computer Science, and Mathematics to provide both theoretical foundation and hands-on practice. The curriculum covers essential areas including data mining, machine learning, data visualization, business analytics, data ethics, and advanced statistical methods. Students learn to use modern tools like Python, R, Tableau, Power BI, SPSS, and SAS through real-world projects and case studies. The program offers maximum flexibility with both fully online and traditional face-to-face delivery options, utilizing Canvas LMS with Quality Matters-certified online courses. Core coursework includes advanced programming for data analytics, foundational and advanced data analytics, information visualization, ethics, and mathematical statistics. Students can customize their education through 9 credit hours of electives in areas like big data analytics, sports analytics, financial analytics, machine learning, artificial intelligence, and predictive analytics.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Admissions
GPA Requirement: 3.0. Application Deadline: Rolling basis.
Requirements:
Location Advantages:
Best Master's Data Science Degree Programs in Virginia
University of Virginia-Main Campus — Charlottesville, VA
Key Distinction: Unique opportunity to create a new STEM field where students are partners in their educational experience, with emphasis on collaboration and teamwork as essential skills, faculty passion for teaching, and creating career-ready students.
Hakia Insight: UVA's master's program positions the four-domain model as career-accelerator for mid-career professionals, where the emphasis on collaboration and teamwork directly translates to leadership-track advancement rather than pure technical specialization.
At the master's level, the B.S. in Data Science (BSDS) is a modern applied STEM degree that educates students in the four domains of data science: value, design, analytics, and systems. It provides a strong foundation to advance, preserve and disseminate knowledge in a data-centric world.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Notable Faculty
- Brian Wright — Program Director
Location Advantages:
George Mason University — Fairfax, VA
Key Distinction: One of only a few departments globally that offers degrees at all levels (bachelors, masters, and two PhDs) with faculty representing diverse backgrounds including economics, geography, materials science, computer science, foreign policy, and physics
Hakia Insight: At the master's level, George Mason's rare vertical integration—bachelors through PhD in the same interdisciplinary department—means graduate students can co-mentor undergraduates and access peer research networks across degree levels, compressing the time to independent research.
At the master's level, george Mason University's Computational and Data Sciences program provides students with technical skills for investigating physical and social phenomena through an interdisciplinary STEM approach. The program combines computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation to prepare graduates for careers in federal/public sectors and high technology firms.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Industry Partners
- Northrop Grumman (aerospace/defense)
- spaceNEXT (aerospace)
Career Outcomes
Top Employers: federal sector, public sector, high technology firms.
Notable Faculty
- Michael Eagle — Scientific and Statistical Visualization
Admissions
GPA Requirement: 3.00.
Requirements: calculus, statistics, linear algebra, programming courses
Accreditations and Certifications
Location Advantages:
Virginia Polytechnic Institute and State University — Blacksburg, VA
Key Distinction: Faculty's extensive industry experience delivers a blend of technical expertise and industry understanding, with non-thesis degrees taught by industry experts with decades of field experience
Hakia Insight: Virginia Tech's non-thesis option, taught entirely by faculty with decades of industry experience, lets students skip academic research and graduate 18 months faster—ideal for professionals who need credentials without the dissertation commitment.
At the master's level, virginia Tech's data science program enables world-class research and education via the application of data science. The program combines rigorous technical training with real-world projects, preparing graduates to navigate organizational complexities and translate data into action and value.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Center for Ecosystem Forecasting
Notable Faculty
- Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
- Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow
- Xinwei Deng — Cathie and Tom Woteki Data Science Faculty Fellow
- Quinn Thomas — Cathie and Tom Woteki Data Science Faculty Fellow
Location Advantages:
Virginia State University — Petersburg, VA
Key Distinction: This interdisciplinary program uniquely combines engineering, computer science, and mathematics expertise while offering both fully online and traditional delivery options with Quality Matters-certified online instruction.
Hakia Insight: Virginia State's Quality Matters-certified online instruction combined with engineering-rooted fundamentals creates an unusual advantage: fully asynchronous students study data analytics using the same rigorous frameworks as on-campus peers, without sacrificing depth for convenience.
At the master's level, virginia State University's Master of Science in Data Analytics is an interdisciplinary program located in the Department of Engineering within the College of Engineering Technology. This comprehensive 30-credit program partners with the Departments of Engineering, Computer Science, and Mathematics to provide both theoretical foundation and hands-on practice. The curriculum covers essential areas including data mining, machine learning, data visualization, business analytics, data ethics, and advanced statistical methods. Students learn to use modern tools like Python, R, Tableau, Power BI, SPSS, and SAS through real-world projects and case studies. The program offers maximum flexibility with both fully online and traditional face-to-face delivery options, utilizing Canvas LMS with Quality Matters-certified online courses. Core coursework includes advanced programming for data analytics, foundational and advanced data analytics, information visualization, ethics, and mathematical statistics. Students can customize their education through 9 credit hours of electives in areas like big data analytics, sports analytics, financial analytics, machine learning, artificial intelligence, and predictive analytics.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Admissions
GPA Requirement: 3.0. Application Deadline: Rolling basis.
Requirements:
Location Advantages:
Old Dominion University — Norfolk, VA
Key Distinction: ODU's Data Science program uniquely combines interdisciplinary breadth with specialized concentrations, offering both undergraduate and graduate pathways with flexible online delivery and strong emphasis on ethical data use and real-world application through required internships or research projects.
Hakia Insight: ODU's required internships or research projects aren't career padding—they're embedded in degree requirements, meaning every graduate's $108K median salary reflects actual client work already on their resume rather than theoretical preparation.
At the master's level, old Dominion University's Data Science program offers a comprehensive interdisciplinary approach to one of the fastest-growing fields, preparing students to uncover meaningful patterns in large datasets and turn raw data into actionable insights. The program features multiple degree levels including BS, MS, and Minor options, all available both on-campus and online through ODUGlobal. Students gain hands-on experience with cutting-edge tools, explore ethical dimensions of data use, and can specialize in areas like Artificial Intelligence and Machine Learning, Data Visualization, Geospatial Analytics, or Data for a Human World. The MS program offers five concentration options including Business Intelligence and Analytics, Engineering and Big Data Analytics, and Physics. ODU's program emphasizes project-based learning, capstone projects, and real-world problem-solving across industries like healthcare, finance, government, and business, supported by expert faculty actively engaged in AI and Data Science research.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Biomolecular and Biomedical Informatics
- 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: $108,020.
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
GPA Requirement: 2.00.
Requirements: junior standing for DSC 300, ENGL 110C for DASC 357E, STAT 330 or equivalent for STAT 603
Location Advantages: Located in Norfolk, VirginiaAccess to R1 research institution resources
Radford University — Radford, VA
Key Distinction: Radford University's Data Science program uniquely combines traditional classroom learning with real-world client projects through the Applied Research Center consortium, providing students practical experience with Fortune 500-level tools while building strong industry networks.
Hakia Insight: Radford's Applied Research Center consortium gives students direct access to Fortune 500-scale tools and projects through regional partnerships, translating SAS certification and Fortune 500 tooling into immediate job-market credibility in Virginia's projected 36% data science job growth.
At the master's level, radford University offers comprehensive Data Science education through multiple pathways including a unique M.S. in Data and Information Management that combines theory with hands-on industry experience. The program features advanced technologies like Hadoop, Spark, and Hive, with curriculum covering data architecture, modeling, storage, integration, quality, governance, security, warehousing, and business intelligence. Students work with real clients through the Applied Research Center (ARC) consortium, connecting them with regional industry partners for practical problem-solving experience. The program prepares graduates for leadership roles from database engineers to data architects and information managers. Additionally, Radford offers flexible undergraduate Mathematics pathways with data science concentrations, featuring 36% projected growth in data science careers, small faculty-taught classes, and real-world capstone projects with industry partners.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Applied Research Center (ARC)
- SMART Lab (Social Media Analytics and Research Technology)
Industry Partners
- SAS (corporate)
- Regional industry partners through ARC consortium (corporate)
Notable Faculty
- Jeff Pittges — Data and Information Management
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: 56 credit hours for accelerated track application, 24 credit hours at Radford for transfer students
Accreditations and Certifications
- AACSB International accreditation
Location Advantages: New River Valley locationRoanoke Valley community connectionsVirginia workforce alignment with 36% data science job growth projected
