University campus in South Carolina
Updated June 28, 2026

Best Data Science Degree Programs in South Carolina, 2026 Rankings

Compare the top data science colleges in South Carolina. 13 accredited data science schools ranked by graduation rate, career outcomes, and value, from University of South Carolina-Columbia to University of South Carolina-Columbia.

#1 ProgramU of South Carolina-Columbia
Avg Salary$95,670
Tuition From$12,288/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

16

Programs ranked

IPEDS 2024

$95,670

South Carolina median data science salary

BLS OEWS 2024

76/100

Top program score

Hakia methodology

36%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best data science degree programs: U of South Carolina-Columbia, Coastal Carolina, Wofford College

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $8,356 to $57,902/year

U of South Carolina-Columbia offers the most affordable option at $12,288/yr

IPEDS 2024

Data Science degree programs available: 3 master's, 1 doctoral in South Carolina

From community college pathways to advanced research degrees

IPEDS 2024

1 online data science degree programs in South Carolina

Flexible scheduling for working professionals

IPEDS 2024

Major employers: Blackbaud, BenefitFocus, Bosch, Boeing

Tech hubs in Charleston and Columbia

Hakia Research 2026

Data Science degree programs near 40+ cities across South Carolina

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

IPEDS 2024

Updated June 28, 2026

How we ranked South Carolina Data Science programs

We rank 16 accredited data science programs in South Carolina using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology

Are Data Science Degree Programs in South Carolina Worth It?

Answer
$95,670
Yes. The best data science degree programs in South Carolina deliver strong ROI, graduates earn $95,670 median salary with +22% job growth through 2032. In-state tuition averages $24,820/year.

Source: BLS OEWS May 2024

Data Science Degree Rankings in South Carolina

Compare the top-ranked Data Science programs in South Carolina by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Bachelor's Data Science Programs in South Carolina

12
Programs ranked
$26,192
Avg tuition/yr
83%
Avg grad rate

Program Landscape

South Carolina ranks among the nation's top destinations for data science education, with 12 accredited bachelor's degree programs across 4 public and 8 private institutions. The highest-ranked programs are U of South Carolina-Columbia, Coastal Carolina, Wofford College, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from South Carolina data science programs earn a median salary of $81,320, 17% below the national average. The state's robust technology sector, anchored by the Charleston, Columbia, Greenville metropolitan areas, provides abundant internship and employment opportunities with companies including Blackbaud, BenefitFocus, Bosch.

Costs & Value

Tuition ranges from $11,460 to $57,902 annually, with an average of $26,192/yr. Top programs maintain graduation rates above 83%, with the highest reaching 89%. 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 South Carolina's leading technology employers. For students seeking data science degrees in South Carolina, these top-ranked data science schools offer the strongest combination of academic rigor and career preparation.

🥉
Wofford College
Spartanburg, SCPrivate
$51,750
Tuition/yr
89%
Grad rate
66.4
Hakia Score
Show all 12 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Furman UniversityGreenville, SCPrivate$57,90259.2
#7Benedict CollegeColumbia, SCPrivate$15,40057.6
#8Bob Jones UniversityGreenville, SCPrivate$19,75655.8
#9Presbyterian CollegeClinton, SCPrivate$40,20052.8
#10Claflin UniversityOrangeburg, SCPrivate$16,47649.7
#11Coker UniversityHartsville, SCPrivate$30,86443.3
#12Winthrop UniversityRock Hill, SCPublic$15,30638.3

Best Master's Data Science Programs in South Carolina

3
Programs ranked
$11,054
Avg tuition/yr
75%
Avg grad rate

Program Landscape

South Carolina offers 3 master's degree programs in data science, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, U of South Carolina-Columbia, College of Charleston, Citadel Military College ..., combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in South Carolina earn a median salary of $95,670, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Charleston, Columbia, Greenville creates strong demand for graduate-level talent, with Blackbaud, BenefitFocus, Bosch 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 $11,054/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 South Carolina's data science schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Best Doctoral Data Science Programs in South Carolina

1
Programs ranked
$12,288
Avg tuition/yr
80%
Avg grad rate

Program Landscape

South Carolina is home to 1 doctoral programs in data science, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at U of South Carolina-Columbia are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with South Carolina PhD holders earning a median of $119,588, reflecting the advanced expertise required for research and executive positions. The Charleston, Columbia, Greenville region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like Blackbaud, BenefitFocus, Bosch.

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 South Carolina programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing data science degrees in South Carolina, 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.

Data Science Degree Costs & Tuition in South Carolina

MetricValue
Average in-state tuition$24,820/year
Average out-of-state tuition$62,050/year
Community college tuition$6,205/year
4-year savings for residents$148,920
2+2 transfer pathway savings$37,230

Source: IPEDS 2024

Financial Aid & Scholarships for Data Science Students in South Carolina

State Aid Programs

South Carolina residents pursuing data science degrees benefit from several financial aid opportunities. The primary state-level aid program is the LIFE Scholarship, a merit-based award that provides eligible South Carolina residents with up to $5,000 per year toward tuition costs (LIFE Scholarship). This scholarship significantly reduces the financial burden for in-state students at public institutions, where average tuition is $11,287 annually (IPEDS). Beyond state aid, students should complete the Free Application for Federal Student Aid (FAFSA) to access federal grants, loans, and work-study opportunities through (Federal Student Aid). The FAFSA is essential for determining eligibility for Pell Grants and federal loan programs.

Key Programs & Amounts

Many South Carolina institutions offering data science programs also provide institutional scholarships and assistantships. Top-ranked schools like Clemson University and the University of South Carolina-Columbia offer merit-based scholarships specific to STEM disciplines, often covering partial or full tuition. Students should contact their institution's financial aid office directly to explore department-specific scholarships for data science majors. The South Carolina Commission on Higher Education (SCHE) maintains comprehensive information on state aid programs and institutional resources. For additional scholarship opportunities, students can explore both national best programs and related fields like data analytics, which may share similar funding pathways.

Data Science Degree ROI Calculator, South Carolina

Use our interactive ROI calculator to estimate your return on investment for a data science degree in South Carolina. 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 Science Degree ROI Calculator

Estimate your return on investment for a data science degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+697%

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

Net Gain

$1,289,731

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

Break-Even

6 years

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

COL-Adjusted Salary

$114,286

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)$2,325,139

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 (Austin, TX)$120,000

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

Annualized Return4.1%

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

Data sources: BLS OEWS May 2024, IPEDS 2024. 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

Data Science Salaries by Metro Area

Median annual salary in South Carolina metro areas

Charleston$105K
Columbia$100K
Greenville$96K
View data table
CategoryValue
Charleston$105K
Columbia$100K
Greenville$96K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Data Science Graduates in South Carolina

Find data science jobs in South Carolina. These major employers across South Carolina metro areas are actively hiring data science degree holders. Click employer names to view current job openings.

Data Science Jobs in Charleston

SC
Booz Allen Hamilton
consulting
Blackbaud
tech
BoomTown
tech
Benefitfocus
healthtech

Data Science Jobs in Columbia

SC
BlueCross BlueShield of SC
healthcare
University of South Carolina
education

Data Science Jobs in Greenville

SC
BMW Manufacturing
manufacturing
GE Power
energy
Michelin
manufacturing

Transfer Pathways for Data Science Degrees in South Carolina

State Transfer System

South Carolina's transfer system streamlines the pathway from two-year to four-year institutions through the SC Transfer and Articulation Center (SCTRAC). This state-coordinated system maps transfer agreements between the state's 25 two-year institutions and 41 four-year institutions, enabling students to complete general education and foundational coursework cost-effectively before pursuing specialized data science degrees. Students beginning their education at community colleges can follow established articulation agreements that guarantee course credit recognition at bachelor's-granting universities. This approach significantly reduces overall degree costs, as two-year institutions charge lower tuition than four-year universities, while maintaining seamless academic progression.

How Transfers Work

Students pursuing data science through a transfer pathway should begin with mathematics, statistics, computer science, and programming courses that satisfy prerequisite requirements for upper-level data science coursework. The SC Transfer and Articulation Center provides detailed mapping of which community college courses align with bachelor's program requirements at institutions like Clemson University, University of South Carolina-Columbia, and College of Charleston. Transfer students benefit from the same state financial aid opportunities as direct admits, including eligibility for the LIFE Scholarship and federal Pell Grants (Federal Student Aid). For prospective students interested in related fields, review data analytics programs and computer science options to identify additional transfer-friendly pathways. Starting at a two-year institution offers significant cost savings while maintaining quality educational standards across South Carolina's higher education network.

Why Pursue a Data Science Degree in South Carolina?

Industry & Workforce

South Carolina offers a strong ecosystem for data science education with 19 institutions delivering programs across all degree levels (IPEDS). The state's higher education landscape includes 14 bachelor's programs, 4 master's programs, and 1 doctoral program, generating 121 bachelor's completions annually. Leading institutions like the University of South Carolina-Columbia have produced 57 completions, while College of Charleston and Coastal Carolina University contribute 23 and 21 completions respectively. This concentration of quality programs positions South Carolina as an emerging hub for data science talent development in the Southeast.

Salary Outlook

The state's major metropolitan areas. Columbia, Charleston, Greenville, and North Charleston, host significant employers in healthcare, manufacturing, and technology sectors. Organizations like Prisma Health, MUSC, BMW Manufacturing, Boeing, and Greenville Health System actively recruit data science professionals, creating strong employment pathways for graduates (BLS State Data). With average public in-state tuition at just $11,287 annually for four-year institutions, South Carolina programs offer exceptional affordability compared to national alternatives. Top-ranked schools like Clemson University (#1 bachelor's) and University of South Carolina-Columbia (#2 bachelor's) maintain competitive tuition rates while delivering rigorous data science curricula. Students should explore data analytics programs and machine learning options to broaden their technical expertise within the state's educational offerings.

Data Science Program Availability in South Carolina

13 Programs
South Carolina offers 13 accredited data science programs across public universities, private colleges, and community colleges. Top tech hubs include Charleston, Columbia, Greenville.

Source: IPEDS 2024

Data Science Job Market & Salary Data in South Carolina

Employment Outlook

South Carolina's data science job market is growing steadily, with 19 institutions across the state offering data science programs at various levels (IPEDS). The state supports this academic infrastructure through strong higher education systems, with 41 four-year institutions and 25 two-year institutions providing pathways into data science careers (South Carolina Commission on Higher Education). Major metropolitan areas including Columbia, Charleston-North Charleston, and Greenville-Anderson are emerging as regional hubs for data science employment, offering diverse career opportunities across healthcare, manufacturing, and technology sectors.

Salaries by Metro

For current salary and employment data, the Bureau of Labor Statistics provides detailed occupational information for South Carolina (BLS State Data). Students graduating from top-ranked programs like Clemson University and the University of South Carolina-Columbia enter a competitive market with strong employer demand. The state's average public in-state tuition of $11,287 for four-year institutions makes data science education accessible, while out-of-state tuition averages $26,140. To explore related career pathways, prospective students can investigate Data Analytics in South Carolina and Machine Learning in South Carolina, which complement data science credentials and expand employment prospects.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in South Carolina$62,186$138,722
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Data Science Programs in South Carolina

Online Programs

1 available in South Carolina

On-Campus Programs

Traditional classroom experience

Typical Tuition$22,338/yr$24,820/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Data Science Programs in Other States

Data Science Degree Programs in South Carolina: FAQ

What are the best data science degree programs in South Carolina?
The best data science degree programs in South Carolina based on our methodology are: 1) University of South Carolina-Columbia (80% graduation rate), 2) Coastal Carolina University, and 3) Wofford College. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). South Carolina offers 13 total accredited programs across 5 public and 8 private institutions. See our complete rankings for all 12 bachelor's programs.
How much do data science degree programs cost in South Carolina?
Data Science degree program costs in South Carolina vary significantly by institution type. In-state public tuition averages $24,820/year, while private institutions average $54,604/year. Community colleges offer the most affordable path at approximately $6,205/year for associate's degrees. The total 4-year cost ranges from $99,280 at public schools to $218,416 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can data science degree graduates earn in South Carolina?
Data Science professionals in South Carolina earn a median salary of $95,670, which is competitive with the national average of $115,500. Entry-level positions typically start around $62,186, while senior roles exceed $138,722. Salaries vary by metro area: Charleston ($105,237), Columbia ($100,454) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online data science degree programs in South Carolina?
Yes, South Carolina offers 1 accredited online Data Science programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from Coker University. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire data science degree graduates in South Carolina?
Major Data Science employers in South Carolina include Blackbaud, BenefitFocus, Bosch, Boeing, BMW. The Charleston and Columbia metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from South Carolina universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. South Carolina's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a data science degree program worth it in South Carolina?
A data science degree program in South Carolina offers strong ROI with a $95,670 median salary and +22% projected job growth. At average in-state tuition of $24,820/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($108,107), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do data science degree programs take in South Carolina?
Standard completion times for data science degree programs in South Carolina are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. South Carolina community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a South Carolina university for the final 2 years of a bachelor's program.
What financial aid is available for data science degree students in South Carolina?
South Carolina data science degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. South Carolina state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by South Carolina's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

South Carolina salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 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.

The research behind the rankings

In-depth Data Science program profiles in South Carolina

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Bachelor's Data Science programs

#1University of South Carolina-ColumbiaColumbia, SC

Why it stands out. Interdisciplinary curriculum combining computer science, mathematics, and statistics. Hands-on experience through Computing for Data Science and Visualization Tools courses

Hakia insight. South Carolina's program unites computer science, mathematics, and statistics under one degree rather than requiring students to stack electives, while partnerships with Google, Microsoft, and IBM provide direct pipeline recruitment that translates into faster offer cycles and higher starting salaries for graduates entering tech.

The University of South Carolina's Bachelor of Science in Data Science is an interdisciplinary program uniting computer science, mathematics, and statistics to tackle real-world problems with large-scale datasets. Based in the College of Arts and Sciences with faculty from Mathematics, Statistics, and Computer Science departments, the program provides strong foundation in all stages of data analysis combined with advanced tools and theory for developing new methods. The curriculum requires hands-on experience through courses like Computing for Data Science, Visualization Tools, and Big Data Analytics. Students must maintain a C or higher in all core courses with at most two attempts. The program offers flexibility for double majors or minors in mathematics, statistics, or computer science, and can be customized for students planning graduate study. Ethics in data science is integrated through required coursework covering ethical, policy, and security considerations of working with data and its societal impact.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Research labs & institutes

  • Department of Computer Science and Engineering — Machine learning, data mining, AI systems
  • Department of Statistics — Statistical learning, computational statistics, Bayesian methods

Industry partners

GoogleMicrosoftIBM

Career outcomes

Top employers: Google, Microsoft, Amazon, Deloitte

Admissions

Deadline December 1 and March 31.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: South Carolina state capital with government data and analytics initiatives Proximity to financial services sector Established tech employer networks

#2Coastal Carolina UniversityConway, SC

Why it stands out. Combines accessible, practical data science training with deep integration into regional coastal business and tourism industries.

Hakia insight. Coastal Carolina's integration with the Myrtle Beach Area Chamber of Commerce means students build portfolios on live tourism and hospitality analytics challenges—a niche that few liberal arts programs offer, yet one where regional employers actively recruit.

At the bachelor's level, coastal Carolina's data science program stands out for integrating domain expertise in business and coastal/environmental analytics into its technical curriculum. Students don't just learn machine learning algorithms in isolation; they apply them to real datasets in areas where the university has established research or industry connections—whether that's tourism analytics, coastal resilience, supply chain optimization for the region's growing port activity, or healthcare system improvement. The program structure includes specialized tracks or electives that let students deepen expertise in their chosen domain while building transferable data science fundamentals. Faculty actively engage students in research and consulting projects, creating a learning environment where classroom concepts immediately connect to practitioner problems. The university's location in Myrtle Beach and ties to regional business and environmental sectors create unique capstone and internship opportunities that wouldn't exist at inland competitors. Graduates emerge with not just technical skills but demonstrated domain knowledge in their chosen specialization, making them attractive to employers seeking data professionals who understand business context, not just algorithms.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online

Industry partners

Myrtle Beach Area Chamber of Commerce

Location advantage: Myrtle Beach region with strong hospitality and tourism data analytics demand Growing coastal tech community Retail and e-commerce sector presence

#3Wofford CollegeSpartanburg, SC

Why it stands out. Wofford weaves ethics and responsible AI throughout its data science curriculum, preparing graduates to think critically about the societal impact of their analytics work.

Hakia insight. Wofford embeds ethics and responsible AI throughout its curriculum rather than as an afterthought, positioning graduates to command premium roles at companies building governance frameworks rather than just executing analyses.

At the bachelor's level, wofford's data science program leverages the college's strengths in close mentorship and interdisciplinary collaboration to create a curriculum that bridges liberal arts inquiry with practical analytics skills. The program emphasizes hands-on projects that integrate data science across disciplines—from business and economics to environmental science and social research—rather than siloing technical training in isolation. Students work directly with faculty who maintain active research interests, gaining exposure to real analytical problems while developing communication skills essential for translating complex findings to non-technical audiences. The intimate scale of the college means data science students benefit from personalized advising and opportunities to shape their learning path through electives and independent studies that align with their interests, whether that's machine learning, data visualization, or domain-specific applications. Partnerships with regional organizations and alumni networks in finance, healthcare, and technology provide internship placements and mentorship that ground classroom learning in professional contexts. Wofford's emphasis on ethical reasoning and critical thinking infuses the program, pushing students to consider not just how to build models, but when and whether they should. Graduates emerge with both technical competency and the collaborative, communication-focused skill set that employers increasingly prioritize when hiring data professionals, particularly for roles where cross-functional teamwork is essential.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online

Location advantage: Spartanburg, SC proximity to financial services and manufacturing sectors

#4College of CharlestonCharleston, SC

Why it stands out. College of Charleston's data science program stands out for integrating undergraduate research and mentorship-driven learning into a curriculum that bridges computer science and applied statistics, with particular strength in real-world project experience.

Hakia insight. College of Charleston's three active labs (ML, Cybersecurity, IoT) give undergraduates rare access to deployable research projects with Boeing, Volvo, and Booz Allen Hamilton—meaning your capstone could credibly appear on your résumé as published work, not just coursework.

At the bachelor's level, college of Charleston's data science program emphasizes hands-on learning through real-world projects and close faculty mentorship—a distinct advantage at a school where undergraduate research isn't just encouraged but embedded into the curriculum. The program blends computer science fundamentals with statistical methods and domain applications, giving students flexibility to pursue concentrations in areas like business analytics, environmental data science, or social science applications. What sets this program apart is its intimate scale: classes remain small enough that faculty know students by name and can tailor guidance to individual career trajectories, whether that's toward tech industry roles or graduate school preparation. The Charleston location provides unexpected advantages, with growing tech companies in the region and access to real datasets from local government and nonprofit organizations that students work with directly. Faculty actively involve undergraduates in their research, and the program has developed strong pathways into both immediate employment and competitive graduate programs. Students consistently highlight the curriculum's balance between theory and application—you're not just learning algorithms in isolation, but implementing them on problems that matter. Internship placements are robust, with students working at companies ranging from regional firms to national tech companies, often converting summer internships into full-time offers.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online

Research labs & institutes

  • Machine Learning and Data Science Lab — Machine Learning and Data Science
  • Cybersecurity Lab — Cybersecurity
  • Data Mining and IoT Connectivity Lab — Data Mining and IoT Connectivity
  • Artificial Intelligence Lab — Artificial Intelligence
  • Health Informatics Lab — Health Informatics
  • Cloud Computing Lab — Cloud Computing
  • Computer Music and Interaction Lab — Computer Music and Interaction
  • Computing Education Research Lab — Computing Education Research

Industry partners

BoeingVolvoBooz Allen HamiltonMercedes-Benz VansGoogle

Career outcomes

$70,000,100,000 median salary

Notable faculty

  • Dr. Tom Kunkle (Mathematics and Statistics)

Admissions

Deadline Priority: February 1, Final: July 1.

Accreditation & certifications

ABET

Location advantage: Growing tech sector in Charleston region Access to local government and nonprofit datasets for student projects

#5Charleston Southern UniversityCharleston, SC

Why it stands out. Charleston Southern distinguishes its data science program through embedded industry mentorship and capstone projects with regional employers, ensuring graduates have deployment-ready portfolio work before entering the job market.

Hakia insight. Charleston Southern embeds actual employer mentors into capstone projects, bridging the notorious gap between academic work and job-ready portfolios that leaves most graduates scrambling to explain their projects to hiring managers.

At the bachelor's level, charleston Southern positions its data science program within the broader context of applied technology and professional development, emphasizing skills that have immediate market demand. The curriculum covers essential tools—Python, R, SQL, and visualization platforms—alongside statistical reasoning and machine learning fundamentals, with instruction designed for students who may not have deep technical backgrounds before enrolling. Rather than pure theory, courses integrate real datasets and case studies so that abstract concepts land in concrete applications. The Charleston location provides unexpected advantages: the city's growing tech ecosystem, presence of financial and insurance companies, and tourism/hospitality sector create diverse internship and employment opportunities. Faculty focus on being accessible mentors who understand the career goals of their students and actively work to connect them with opportunities and resources. The program appeals to working professionals and career-changers as much as traditional undergraduates, with flexibility in scheduling and delivery designed to support students balancing multiple demands. Graduates have transitioned into analytics roles across healthcare, finance, and service industries, with many crediting the program's practical orientation for their ability to contribute meaningfully in their first roles.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online

Location advantage: Charleston's growing financial services and healthcare sectors Proximity to government research institutions in the Lowcountry

#6Furman UniversityGreenville, SC

Hakia insight. Furman's data analytics minor spans 12 disciplines with required foundations in both R and Python, creating flexibility to pair technical depth with domain expertise—a structure that mimics how real data teams are actually built.

At the bachelor's level, the Data Analytics interdisciplinary minor offers students experience across 12 different disciplines with required foundational courses in statistics, programming in R and Python, and exposure to real-world analytics applications. Students must present their work at Furman Engaged, demonstrating a significant data analytics project undertaken during their minor studies.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online
#7Benedict CollegeColumbia, SC

Why it stands out. Benedict College offers comprehensive Data Science programs preparing students for careers in technology.

Hakia insight. Benedict College provides a direct pathway into South Carolina's emerging tech ecosystem from a historically Black institution, addressing the representation gap that limits recruitment pipelines in data science.

Benedict College offers Data Science programs in Columbia, SC. As a private institution, it provides accessible education pathways for students in the region.

#8Bob Jones UniversityGreenville, SC

Hakia insight. Bob Jones University's data science programs operate within a faith-integrated curriculum framework that explicitly shapes ethical decision-making—a distinctive worldview lens that appeals to students seeking values-aligned technical training.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online
#9Presbyterian CollegeClinton, SC

Why it stands out. Presbyterian College offers comprehensive Data Science programs preparing students for careers in technology.

Hakia insight. Presbyterian College's location in Clinton positions graduates to tap into South Carolina's financial services and manufacturing hubs while maintaining the mentorship density of a small liberal arts setting.

Presbyterian College offers Data Science programs in Clinton, SC. As a private institution, it provides accessible education pathways for students in the region.

#10Claflin UniversityOrangeburg, SC

Why it stands out. Claflin's data science program uniquely integrates social impact and equity perspectives, preparing graduates to lead analytics work in public health, government, and community-focused sectors.

Hakia insight. Claflin's social impact integration prepares graduates for high-demand public health and government analytics roles where technical skill alone fails—they're trained to ask whose data gets analyzed and who benefits from the insights.

At the bachelor's level, claflin's data science program reflects the institution's mission to cultivate leaders and skilled professionals serving underrepresented communities and emerging tech ecosystems. The curriculum grounds students in statistical methodology, programming fundamentals, and data engineering practices while emphasizing applications relevant to social impact—public health analytics, education data systems, and community development metrics. Faculty prioritize mentorship and skill-building, recognizing that many students arrive with variable preparation; the program includes robust foundational support and bridge coursework. Internship and research opportunities connect students to government agencies, nonprofits, and corporations working on equity-focused data initiatives. Graduates pursue roles in public health analytics, government data teams, nonprofit research departments, and corporate social responsibility divisions—sectors where their combination of technical skill and social awareness creates distinctive value. Claflin's strength lies in preparing graduates who see data science as a tool for informed, equitable decision-making across sectors.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus
  • Bachelor of Arts in Data Science · 4 years · online

Location advantage: Proximity to Atlanta regional healthcare and government agencies

Best Master's Data Science programs

#1University of South Carolina-ColumbiaColumbia, SC

Why it stands out. Research-intensive flagship program with cross-disciplinary graduate training, active faculty research groups, and major corporate partnerships.

Hakia insight. USC Columbia's master's program feeds directly into Google, Microsoft, and Amazon pipelines through active faculty research groups and partnerships, meaning your coursework often overlaps with problems those companies are actively hiring to solve.

At the master's level, as the flagship campus of the University of South Carolina system, the data science program at Columbia benefits from substantial research infrastructure, doctoral training pipelines, and deep partnerships with Fortune 500 companies and major tech firms. The program spans undergraduate and graduate levels, with the graduate track particularly strong in machine learning research and statistical methodology. Students engage with active faculty research groups across computer science, statistics, and business schools, with opportunities to contribute to published research in areas like computational finance, bioinformatics, and social network analysis. The location in South Carolina's capital provides internship and career pathways into state government, finance, and consulting, while the campus's research classification attracts visiting scholars and industry researchers. Graduate students particularly benefit from the thesis-based MS option, which emphasizes original research and positions graduates competitively for both industry machine learning roles and PhD programs.

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 & institutes

  • Department of Computer Science and Engineering — Machine learning, data mining, AI systems
  • Department of Statistics — Statistical learning, computational statistics, Bayesian methods

Industry partners

GoogleMicrosoftIBM

Career outcomes

Top employers: Google, Microsoft, Amazon, Deloitte

Admissions

Deadline December 1 and March 31.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: South Carolina state capital with government data and analytics initiatives Proximity to financial services sector Established tech employer networks

#2College of CharlestonCharleston, SC

Why it stands out. First university in South Carolina to offer Masters in Data Science. Small faculty-to-student ratio for personalized mentoring

Hakia insight. As South Carolina's first master's in data science and analytics, College of Charleston's 30-credit design for working professionals avoids the bloat of traditional programs while maintaining the same faculty (Dr. Tom Kunkle) and lab infrastructure (ML, Cybersecurity, IoT) that drives undergraduate success.

The Master of Science in Data Science and Analytics at College of Charleston is a 30-credit program designed for working professionals seeking career advancement in AI, machine learning, and business intelligence. The program accepts students from diverse academic backgrounds and offers industry partnerships with major employers like Boeing, Volvo, Booz Allen Hamilton, and Mercedes-Benz Vans. Located in Charleston's booming tech industry, students benefit from ample internship and employment opportunities. The program features small class sizes ensuring personalized faculty-student mentorships, cutting-edge research opportunities in state-of-the-art labs, and an extensive alumni network including professionals at companies like Google. Fall-only admission with priority deadline February 1 and final deadline July 1. Graduates are prepared for successful data science careers with strong industry connections and research experience.

Programs offered

  • Master of Science in Data Science and Analytics · 1-2 years · on-campus

Research labs & institutes

  • Machine Learning and Data Science Lab — Machine Learning and Data Science
  • Cybersecurity Lab — Cybersecurity
  • Data Mining and IoT Connectivity Lab — Data Mining and IoT Connectivity
  • Artificial Intelligence Lab — Artificial Intelligence
  • Health Informatics Lab — Health Informatics
  • Cloud Computing Lab — Cloud Computing
  • Computer Music and Interaction Lab — Computer Music and Interaction
  • Computing Education Research Lab — Computing Education Research

Industry partners

BoeingVolvoBooz Allen HamiltonMercedes-Benz VansGoogle

Career outcomes

Top employers: Boeing, Google

Notable faculty

  • Dr. Tom Kunkle (Mathematics and Statistics)

Admissions

Deadline Priority: February 1, Final: July 1.

Accreditation & certifications

ABET

Location advantage: Growing tech sector in Charleston region Access to local government and nonprofit datasets for student projects

#3Citadel Military College of South CarolinaCharleston, SC

Why it stands out. The Citadel's data science program leverages military academy discipline and DoD partnerships to produce analysts exceptionally skilled at communicating findings to leadership and working with classified or sensitive systems.

Hakia insight. The Citadel's military academy discipline produces analysts exceptionally trained to communicate findings to leadership and handle classified systems—a rare combination that makes DoD and defense contracting employers view its graduates as immediately operational, not requiring onboarding.

At the master's level, the Citadel's data science program operates within a military academy framework, which shapes its curriculum around precision, discipline, and decision-making under uncertainty—qualities that translate directly into high-stakes analytical work. The program emphasizes systems thinking and the ability to communicate complex findings to leadership, a necessity in military and defense contexts but increasingly valuable across government and enterprise sectors. Students benefit from faculty with backgrounds in operations research, cybersecurity, and national security analysis, domains where data science directly impacts strategic outcomes. The cadet environment itself reinforces habits of rigor: datasets are treated seriously, analysis must be defensible, and the stakes of analytical error are never abstracted. Partnerships with Department of Defense research centers and contractors provide internship pathways and real-world problems that test whether analytical techniques actually scale. Graduates emerge with clearances in some cases and with the credibility that comes from an institution known for producing disciplined technical professionals—a distinct advantage in government and defense contracting.

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

U.S. Department of DefenseBooz Allen Hamilton

Location advantage: Proximity to Fort Sumter and military research institutions Strong connections to defense contracting in the Charleston region

Best Doctoral Data Science programs

#1University of South Carolina-ColumbiaColumbia, SC

Why it stands out. Competitive funding packages with 2 full years of tuition, fees, health insurance assistance plus stipend. Faculty-to-student ratio with 15 primary faculty

Hakia insight. USC Columbia's PhD in Health Services Policy and Management pairs full tuition coverage, health insurance, and stipend support with 15 primary faculty and partnerships with Google, Microsoft, and IBM—creating a rare configuration where healthcare domain expertise and industry-scale data science infrastructure overlap.

The PhD in Health Services Policy and Management offers competitive funding packages providing two full years of tuition, fees, health insurance assistance, and a stipend (specific amounts not disclosed). Students conduct rigorous health services research with 15 primary faculty across areas including health equity, data science, health outcomes, rural health, substance abuse policy, telehealth, and Medicare/Medicaid policy. The program provides mentorship from day one and unique research opportunities including access to South Carolina's Integrated all-payer Data System and collaboration with state health agencies. Students participate in weekly seminars with national health policy leaders and can join projects at three research centers. Recent productivity shows 14 papers co-authored by students in 2022-2023. The program emphasizes both quantitative and qualitative methodologies, grant writing skills, and policy-relevant research. Proximity to state agencies and nonprofits provides networking and collaboration opportunities.

Programs offered

  • Ph.D. in Health Services Policy and Management · 4-6 years · on-campus

Research labs & institutes

  • Department of Computer Science and Engineering — Machine learning, data mining, AI systems
  • Department of Statistics — Statistical learning, computational statistics, Bayesian methods

Industry partners

GoogleMicrosoftIBM

Career outcomes

Top employers: Google, Microsoft, Amazon, Deloitte

Admissions

Deadline December 1 and March 31.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: South Carolina state capital with government data and analytics initiatives Proximity to financial services sector Established tech employer networks