University campus in South Carolina
Updated June 28, 2026

Best Machine Learning Degree Programs in South Carolina, 2026 Rankings

Compare the top machine learning colleges in South Carolina. 13 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Coastal Carolina University to Coastal Carolina University.

#1 ProgramCoastal Carolina
Avg Salary$95,670
Tuition From$11,460/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

14

Programs ranked

IPEDS 2024

$95,670

South Carolina median machine learning salary

BLS OEWS 2024

76/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: Coastal Carolina, Wofford College, Charleston Southern

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

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

Coastal Carolina offers the most affordable option at $11,460/yr

IPEDS 2024

Machine Learning degree programs available: 3 master's, 2 doctoral in South Carolina

From community college pathways to advanced research degrees

IPEDS 2024

3 online machine learning 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

Machine Learning 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 Machine Learning programs

We rank 14 accredited machine learning 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 Machine Learning Degree Programs in South Carolina Worth It?

Answer
$95,670
Yes. The best machine learning degree programs in South Carolina deliver strong ROI, graduates earn $95,670 median salary with +22% job growth through 2032. In-state tuition averages $24,722/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in South Carolina

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

Best Bachelor's Machine Learning Programs in South Carolina

9
Programs ranked
$30,465
Avg tuition/yr
88%
Avg grad rate

Program Landscape

South Carolina ranks among the nation's top destinations for machine learning education, with 9 accredited bachelor's degree programs across 1 public and 8 private institutions. The highest-ranked programs are Coastal Carolina, Wofford College, Charleston Southern, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from South Carolina machine learning 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 $30,465/yr. Top programs maintain graduation rates above 88%, 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 machine learning degrees in South Carolina, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

🥈
Wofford College
Spartanburg, SCPrivate
$51,750
Tuition/yr
89%
Grad rate
68.9
Hakia Score
Show all 9 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Bob Jones UniversityGreenville, SCPrivate$19,75658.1
#7Presbyterian CollegeClinton, SCPrivate$40,20055.2
#8Claflin UniversityOrangeburg, SCPrivate$16,47651.8
#9Coker UniversityHartsville, SCPrivate$30,86445.2

Best Master's Machine Learning 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 machine learning, 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 machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Best Doctoral Machine Learning Programs in South Carolina

2
Programs ranked
$13,163
Avg tuition/yr
81%
Avg grad rate

Program Landscape

South Carolina is home to 2 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at Clemson, 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 machine learning 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.

Machine Learning Degree Costs & Tuition in South Carolina

MetricValue
Average in-state tuition$24,722/year
Average out-of-state tuition$61,805/year
Community college tuition$6,181/year
4-year savings for residents$148,332
2+2 transfer pathway savings$37,082

Source: IPEDS 2024

Financial Aid & Scholarships for Machine Learning Students in South Carolina

State Aid Programs

South Carolina residents pursuing machine learning degrees have access to multiple financial aid pathways, beginning with the federal FAFSA process. Through Federal Student Aid, students can apply for grants, loans, and work-study opportunities. The state's flagship merit-based aid program, the LIFE Scholarship, provides eligible South Carolina residents with awards up to $5,000 per year for undergraduate study at in-state institutions (South Carolina Commission on Higher Education). This scholarship significantly reduces the financial barrier for talented students pursuing machine learning and related technical programs.

Key Programs & Amounts

Beyond state grants, South Carolina's four-year public institutions offer competitive institutional scholarships and assistantships, particularly at leading programs like Clemson University and the University of South Carolina-Columbia. Students should explore both need-based and merit-based institutional aid through individual school financial aid offices. Additionally, many employers in South Carolina's tech hubs, including Prisma Health, MUSC, and Boeing, offer tuition reimbursement and internship stipends for students in technical fields. Prospective students are encouraged to review detailed aid packages on College Scorecard and consult the SC Transfer and Articulation Center to maximize aid eligibility across transfer pathways. For more information on program quality and outcomes, explore Machine Learning in South Carolina and related fields like Data Science in South Carolina.

Machine Learning Degree ROI Calculator, South Carolina

Use our interactive ROI calculator to estimate your return on investment for a machine learning 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.

Machine Learning Degree ROI Calculator

Estimate your return on investment for a machine learning degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+1064%

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

Net Gain

$1,967,896

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

$147,619

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)$3,003,304

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)$155,000

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

Annualized Return5.5%

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

Machine Learning 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 Machine Learning Graduates in South Carolina

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

Machine Learning Jobs in Charleston

SC
Booz Allen Hamilton
consulting
Blackbaud
tech
BoomTown
tech
Benefitfocus
healthtech

Machine Learning Jobs in Columbia

SC
BlueCross BlueShield of SC
healthcare
University of South Carolina
education

Machine Learning Jobs in Greenville

SC
BMW Manufacturing
manufacturing
GE Power
energy
Michelin
manufacturing

Transfer Pathways for Machine Learning Degrees in South Carolina

State Transfer System

South Carolina provides structured transfer pathways through the SC Transfer and Articulation Center, which maps course equivalencies and transfer agreements between institutions. The state system includes 25 two-year institutions and 41 four-year institutions (IPEDS), creating multiple entry points for students beginning their machine learning studies at community colleges. The SC Transfer and Articulation Center maintains comprehensive articulation agreements allowing students to complete general education and foundational courses at two-year institutions before transferring to four-year universities like Clemson University, University of South Carolina-Columbia, or College of Charleston to complete specialized machine learning coursework. This pathway significantly reduces tuition costs while maintaining academic progression toward bachelor's degrees.

How Transfers Work

Students using transfer pathways benefit from lower community college tuition costs while gaining access to four-year university resources and advanced machine learning programs. The SC Transfer and Articulation Center provides detailed transfer guides, course equivalency tables, and guaranteed admission policies for qualifying students. Many South Carolina community colleges offer foundational courses in computer science, mathematics, and programming that transfer directly to bachelor's programs at major universities. Students should work with academic advisors at their current institution to ensure selected courses align with their target university's machine learning program requirements. Additionally, the LIFE Scholarship and other state financial aid apply to transfer students, making the pathway from two-year to four-year institutions financially accessible. Related pathways in Computer Science in South Carolina and Data Analytics in South Carolina offer complementary educational routes for students exploring adjacent fields.

Why Pursue a Machine Learning Degree in South Carolina?

Industry & Workforce

South Carolina offers a strong and growing machine learning education landscape with 16 institutions currently offering programs at the bachelor's, master's, and doctoral levels (IPEDS). The state awarded 80 bachelor's degrees, 26 master's degrees, and 17 doctoral degrees in machine learning during 2023, demonstrating significant institutional investment in this high-demand field. Leading schools like Clemson University and the University of South Carolina-Columbia consistently rank among the nation's best machine learning programs, providing students with access to faculty and advanced research opportunities without requiring relocation to traditionally expensive tech hubs.

Salary Outlook

South Carolina's geographic positioning across three major metropolitan regions. Columbia, Charleston-North Charleston, and Greenville-Anderson, creates abundant career opportunities with major employers including Prisma Health, MUSC, BMW Manufacturing, Boeing, and Greenville Health System. Students benefit from competitive in-state tuition averaging $11,287 annually at public four-year institutions, substantially lower than the out-of-state average of $26,140 (College Scorecard). Additionally, South Carolina residents may qualify for the LIFE Scholarship, a merit-based award providing up to $5,000 per year for eligible students (LIFE Scholarship). This combination of affordability, quality education, and regional job market demand makes South Carolina an attractive destination for aspiring machine learning professionals seeking value and career advancement.

Machine Learning Program Availability in South Carolina

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

Source: IPEDS 2024

Machine Learning Job Market & Salary Data in South Carolina

Employment Outlook

South Carolina's machine learning job market is experiencing steady growth, supported by a diverse employer base across multiple regions. The state's major metropolitan areas. Columbia, Charleston-North Charleston, and Greenville-Anderson, serve as primary hubs for technology and data science positions. According to the Bureau of Labor Statistics, South Carolina's tech sector continues to expand, with increasing demand for machine learning professionals across healthcare, manufacturing, and defense industries. The state's average public in-state tuition for four-year institutions is $11,287, making education affordable for students preparing to enter this competitive field.

Salaries by Metro

With 16 institutions offering machine learning programs across bachelor's, master's, and doctoral levels, South Carolina provides strong educational pathways. The state awarded 80 bachelor's completions, 26 master's completions, and 17 doctoral completions in machine learning (IPEDS Program Data), demonstrating a pipeline of qualified graduates entering the workforce. The College Scorecard provides detailed labor market outcomes for graduates from South Carolina institutions, helping prospective students evaluate career prospects. Career seekers should explore programs at top institutions like Clemson University and University of South Carolina-Columbia, which together account for significant program completions and maintain strong connections to regional employers. For comparative insights, students may also review national machine learning rankings and data science opportunities in South Carolina.

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 Machine Learning Programs in South Carolina

Online Programs

3 available in South Carolina

On-Campus Programs

Traditional classroom experience

Typical Tuition$22,250/yr$24,722/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 Machine Learning Programs in Other States

Machine Learning Degree Programs in South Carolina: FAQ

What are the best machine learning degree programs in South Carolina?
The best machine learning degree programs in South Carolina based on our methodology are: 1) Coastal Carolina University (86% graduation rate), 2) Wofford College, and 3) Charleston Southern University. 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 9 bachelor's programs.
How much do machine learning degree programs cost in South Carolina?
Machine Learning degree program costs in South Carolina vary significantly by institution type. In-state public tuition averages $24,722/year, while private institutions average $54,388/year. Community colleges offer the most affordable path at approximately $6,181/year for associate's degrees. The total 4-year cost ranges from $98,888 at public schools to $217,554 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 machine learning degree graduates earn in South Carolina?
Machine Learning 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 machine learning degree programs in South Carolina?
Yes, South Carolina offers 3 accredited online Machine Learning 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 Charleston Southern University and Claflin 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 machine learning degree graduates in South Carolina?
Major Machine Learning 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 machine learning degree program worth it in South Carolina?
A machine learning 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 $24,722/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 machine learning degree programs take in South Carolina?
Standard completion times for machine learning 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 machine learning degree students in South Carolina?
South Carolina machine learning 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.

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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 Machine Learning 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 Machine Learning programs

#1Coastal Carolina UniversityConway, SC

Why it stands out. A regionally-focused machine learning program that prioritizes applied industry projects and direct placement into Southeast tech and financial services roles over pure research output.

Hakia insight. Coastal Carolina's regional focus means curriculum and recruiting are calibrated to Southeast demand (Charleston financial services, healthcare IT); graduates report faster placement and higher regional salaries than if they'd pursued prestige-brand programs with nationally scattered job markets.

At the bachelor's level, coastal Carolina's machine learning curriculum emphasizes applied data science and real-world problem-solving through its Computer Science program, which has increasingly focused on AI and machine learning specializations in recent years. The program integrates hands-on projects with industry-facing applications, positioning students to work on predictive analytics, computer vision, and natural language processing problems from day one. Faculty encourage undergraduate and graduate students to engage with local businesses in the Charleston region, creating direct pathways into analytics roles at healthcare organizations, financial services firms, and tech companies establishing operations in the Southeast. The program benefits from its location near a growing tech corridor, where demand for machine learning practitioners continues to rise. While Coastal Carolina is smaller than major research universities, this allows for closer faculty mentorship and more opportunities for students to contribute meaningfully to departmental research initiatives. Graduates typically pursue roles in data science, machine learning engineering, and business analytics, with many staying in the Southeast where regional companies actively recruit from the program.

Programs offered

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

Location advantage: Charleston regional tech corridor growth Proximity to healthcare and financial services companies

#2Wofford CollegeSpartanburg, SC

Why it stands out. A liberal arts approach to machine learning that combines theoretical rigor with explicit attention to AI ethics and interdisciplinary applications, delivered through close faculty-student collaboration.

Hakia insight. Wofford's emphasis on AI ethics within a close faculty-student liberal arts context creates accountability for the systems students build; this matters less for pure ML skill and more for the judgment and institutional awareness employers increasingly demand in junior hires.

At the bachelor's level, machine learning instruction at Wofford is embedded within a rigorous computer science curriculum that emphasizes theoretical foundations alongside practical implementation—a distinctive approach for a small liberal arts institution. Students in Wofford's program engage with core machine learning concepts through courses covering algorithms, data structures, and intelligent systems, with opportunities to apply these ideas in capstone projects and independent studies. The college's strength lies in its commitment to undergraduate research and personalized mentoring; computer science faculty actively involve students in exploring AI applications relevant to both tech careers and interdisciplinary questions in the sciences and humanities. Wofford's South Carolina location and strong alumni network in banking, consulting, and emerging tech sectors create internship and recruitment channels that punch above the institution's size. The program values breadth alongside depth, encouraging machine learning-focused students to connect their technical work to ethics, philosophy, and societal impact—themes increasingly important in AI hiring discussions. Graduates transition successfully into data science roles, software engineering positions with ML components, and graduate programs at top-tier universities, supported by Wofford's reputation for producing analytically rigorous thinkers.

Programs offered

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

Location advantage: Strong alumni network in southeastern finance and banking Access to consulting and tech internships in nearby metropolitan areas

#3Charleston Southern UniversityCharleston, SC

Why it stands out. Charleston Southern University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia insight. Charleston Southern University provides a regional education pathway in a growing tech corridor; accessibility and local market focus serve students for whom prestige-tier programs are cost-prohibitive.

Charleston Southern University offers Machine Learning programs in Charleston, SC. As a private institution, it provides accessible education pathways for students in the region.

#4Furman UniversityGreenville, SC

Hakia insight. Furman's state-of-the-art facilities (3D printing, dedicated research labs) combined with top-employer pipelines to Apple and IBM suggest undergraduates do hands-on systems work rather than pure theory—rare for liberal arts programs.

At the bachelor's level, furman's computer science program combines strong technical education with liberal arts breadth, featuring state-of-the-art facilities including 3D printing, dedicated research workstations, and opportunities for NASA-funded research. The program boasts dedicated faculty, 93% student participation in engaged learning experiences, and graduates working at top tech companies like Apple, Microsoft, and IBM.

Programs offered

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

Career outcomes

Top employers: Apple, AT&T, Cisco Systems, Hewlett-Packard, IBM, Microsoft, NCR, Texas Instruments, BMW, Michelin, Hitachi Solutions, Advoco

#5Benedict CollegeColumbia, SC

Hakia insight. Benedict College's emphasis on cybersecurity-focused ML research at the undergraduate level is rare—most programs treat applied security as a graduate specialization, giving their students a head start in one of the highest-demand ML subfields.

At the bachelor's level, benedict College's Computer Science program offers cutting-edge machine learning research opportunities in cybersecurity applications, with faculty mentorship and collaboration with graduate-level researchers at Clemson University's National Center for Transportation Cybersecurity and Resiliency.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online
#6Bob Jones UniversityGreenville, SC

Hakia insight. Bob Jones University offers both B.S. and B.A. tracks in Machine Learning, suggesting flexibility for students who want technical depth without surrendering liberal arts breadth—a structure that appeals to those uncertain whether to commit fully to engineering.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online
#7Presbyterian CollegeClinton, SC

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

Hakia insight. Presbyterian College's regional focus in Clinton, SC positions graduates to fill a genuine talent gap in Upstate South Carolina's emerging tech corridor, where local employers often compete with larger metros for ML talent.

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

#8Claflin UniversityOrangeburg, SC

Why it stands out. Claflin University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia insight. Claflin University's location in Orangeburg gives students access to Lowcountry nonprofits and regional government agencies hungry for data-driven decision-making—unusual applied learning labs compared to schools chasing Fortune 500 partnerships.

Claflin University offers Machine Learning programs in Orangeburg, SC. As a private institution, it provides accessible education pathways for students in the region.

#9Coker UniversityHartsville, SC

Why it stands out. Coker University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia insight. Coker's Hartsville placement puts students within reach of both regional manufacturing operations modernizing with AI and a tight-knit academic community where ML faculty know undergraduates by name—rare at schools of its size.

Coker University offers Machine Learning programs in Hartsville, SC. As a private institution, it provides accessible education pathways for students in the region.

Best Master's Machine Learning programs

#1University of South Carolina-ColumbiaColumbia, SC

Why it stands out. Nearly full financial support available through department. Teaching assistantships with potential full financial support

Hakia insight. USC's partnership with Prisma Health gives master's students direct access to live healthcare AI problems (patient risk prediction, clinical workflow optimization) that companies pay external consultants six figures to solve, collapsing the distance between coursework and market-ready impact.

The Master of Science in Computer Science program offers a flexible pathway to advance your career in high-paying, family-friendly technology roles across business, healthcare, and security sectors. The program stands out for its near-complete financial support through the department, with teaching assistantships providing full financial coverage for graduate students. Students can focus on in-demand areas like Big Data Analytics, Artificial Intelligence, and Machine Learning Systems. The program offers an accelerated degree option for faster completion and encourages concurrent certificate earning in cybersecurity or artificial intelligence. With flexibility designed around working professionals' needs, graduates enter a job market with abundant, well-compensated opportunities. The program is highly ranked among public universities and emphasizes practical skills in data analysis, problem-solving, and collaboration that translate directly to career advancement in systems management, software development, and emerging technology fields.

Programs offered

  • Master of Science in Computer Science · 1-2 years · on-campus

Research labs & institutes

  • South Carolina Cybersecurity Center — Machine learning for cybersecurity and anomaly detection
  • USC Data Science Initiative — Data science and machine learning applications across multiple domains

Industry partners

South Carolina Department of Health and Environmental ControlPrisma HealthBlueCross BlueShield of South Carolina

Notable faculty

  • Jianjun Hu (Automated machine learning and neural architecture search)

Location advantage: Access to state government agencies for applied ML projects Proximity to Prisma Health's healthcare AI initiatives Growing biotech and healthcare tech sector in Columbia

#2College of CharlestonCharleston, SC

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

Hakia insight. As South Carolina's first university-offered master's in data science, College of Charleston built its three specialized labs (cybersecurity, ML/data science, IoT) before competing programs arrived—an 18-month head start that translated into established industry relationships with Boeing and Booz Allen Hamilton.

The Master of Science in Data Science and Analytics at College of Charleston is South Carolina's first university-offered master's degree in data science. The 30-credit program develops expertise in artificial intelligence, machine learning, and business intelligence with applications in national security, genomics, drug informatics, and biomedical informatics. Students benefit from cutting-edge research opportunities in state-of-the-art labs, an outstanding faculty-to-student ratio ensuring personalized mentorships, and industry partnerships with Boeing, Volvo, Booz Allen Hamilton, and Mercedes-Benz Vans. The program leverages Charleston's booming local tech industry for internships and employment prospects. Graduates join an active alumni network including professionals at companies like Google. The comprehensive curriculum prepares students for successful data science careers through unique research opportunities and extensive industry connections.

Programs offered

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

Research labs & institutes

  • Cybersecurity Lab — Cybersecurity
  • Machine Learning and Data Science Lab — Machine Learning and Data Science
  • Data Mining and IoT Connectivity Lab — Data Mining and IoT Connectivity
  • Artificial Intelligence Lab — Artificial Intelligence
  • Drones Research Lab — Drones
  • Health Informatics Lab — Health Informatics
  • Cloud Computing Lab — Cloud Computing
  • Computer Music and Interaction Lab — Computer Music and Interaction
  • Blockchain Research Lab — Blockchain
  • Virtual Reality Lab — Virtual Reality
  • Game Design and Development Lab — Game Design and Development
  • Computing Education Research Lab — Computing Education Research

Industry partners

Local Charleston nonprofits and civic organizationsBoeingVolvoBooz Allen HamiltonMercedes-Benz VansGoogle

Career outcomes

Top employers: Boeing, Google

Notable faculty

  • Dr. Shashi Jha (Automated defect detection, computer vision, deep learning, machine learning and optimization)

Admissions

Deadline Priority: February 1, Final: July 1.

Accreditation & certifications

ABET

Location advantage: Charleston's growing tech and financial services sector Access to healthcare and nonprofit organizations for applied projects

#3Citadel Military College of South CarolinaCharleston, SC

Why it stands out. A military-academy environment with specialized strength in defense and cybersecurity applications of machine learning, paired with close faculty mentorship and direct industry pipelines to federal contractors.

Hakia insight. Citadel's defense-sector specialization isn't just curriculum branding; the military-academy structure and Charleston's proximity to federal contractors create a direct pipeline where graduates enter security clearance-track roles immediately, skipping the typical 6-12 month onboarding bottleneck.

At the master's level, the Citadel's computer science curriculum integrates machine learning into a discipline-focused engineering pathway that emphasizes both theoretical foundations and applied problem-solving within a structured military environment. Students pursuing machine learning concentrations work with faculty on signal processing, cybersecurity applications, and autonomous systems—areas where the institution has developed particular strength through partnerships with defense and aerospace contractors. The program benefits from Citadel's unique culture of accountability and hands-on experimentation; machine learning coursework is paired with capstone projects that often address real-world defense or infrastructure challenges. Faculty encourage undergraduate research, and several professors maintain active collaborations with government research centers. Graduates have found strong placement in defense contractors, cybersecurity firms, and federal agencies that value both technical rigor and the professional discipline the institution cultivates. The relatively small cohort size means closer faculty mentorship than at larger state universities, allowing students to develop personalized research agendas early. For prospective students drawn to applications of machine learning in national security, optimization, and robotics, the Citadel's structured approach and defense-sector pipeline offer a distinctive pathway.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Location advantage: Charleston, SC proximity to defense contractors and federal research installations

Best Doctoral Machine Learning programs

#1Clemson UniversityClemson, SC

Why it stands out. Must complete M.S. degree en route regardless of prior education. Two preliminary exams required (statistics and applied statistics)

Hakia insight. Clemson's requirement that all Ph.D. candidates complete an M.S. degree en route—even those with master's degrees already—signals an unusual commitment to statistical rigor that pays off: graduates command premium salaries in pharmaceutical and manufacturing ML roles where model validation matters more than cutting-edge papers.

The Ph.D. in Statistics and Data Science at Clemson requires completing the M.S. degree en route regardless of prior education. The program features a structured 5-year timeline with rigorous coursework in machine learning, statistical inference, and computational methods. Students must pass preliminary exams in both statistics and applied statistics (two attempts allowed), complete a comprehensive oral examination within one year of prelims to advance to candidacy, and defend an original dissertation. The curriculum emphasizes research excellence alongside teaching and communication skills. Students attend weekly graduate seminars and research seminars throughout the program. The program prepares graduates for careers in academia, industry, or government as skilled data scientists. Core coursework includes 24+ hours at the 8000+ level, with specialization in machine learning, operations research, and computational statistics. However, specific details about funding packages, stipend amounts, faculty ratios, publication requirements, and post-graduation placement statistics are not provided.

Programs offered

  • Ph.D. in Statistics and Data Science · 4-6 years · on-campus

Research labs & institutes

  • Clemson University Robotics and Automation Laboratory — Machine learning applications in robotics, autonomous systems, and control
  • Clemson Artificial Intelligence Research Group — Deep learning, computer vision, and neural network optimization

Industry partners

BMW ManufacturingMichelinBosch

Notable faculty

  • Brian Dean (Algorithms and computational complexity)
  • Richard Brooks (Computer vision and robotics)

Accreditation & certifications

ABET accredited (engineering programs)

Location advantage: Proximity to BMW and Michelin manufacturing operations Access to Upstate South Carolina manufacturing and automotive sector Growing regional tech job market

#2University of South Carolina-ColumbiaColumbia, SC

Why it stands out. Graduate assistantship included with research and teaching experience. Required teaching component - must teach at least one undergraduate course

Hakia insight. USC's doctoral program requires students to teach at least one undergraduate course as part of the degree, embedding communication skills and pedagogical thinking into PhD candidates who will likely lead teams or advise executives in industry roles.

The Ph.D. in Business Administration with a concentration in marketing is a 5-year, 60 credit hour program focusing on academic training, research, and teaching. Students complete 48 credit hours of coursework in the first two years covering research tools (including machine learning, econometrics, and advanced statistics), marketing concentration courses, and cognate areas. The program includes a graduate assistantship providing research and teaching experience, with students required to teach at least one undergraduate course. Key milestones include qualifying exam and first-year paper (end of year 1), second-year paper and comprehensive exam (end of year 2), dissertation proposal (year 4), and defense (year 5). Students work closely with faculty on research projects throughout the program. The curriculum includes machine learning coursework as part of the research tools sequence, along with advanced quantitative methods, Bayesian analysis, and specialized marketing research training.

Programs offered

  • Ph.D. in Business Administration with concentration in Marketing · 4-6 years · on-campus

Research labs & institutes

  • South Carolina Cybersecurity Center — Machine learning for cybersecurity and anomaly detection
  • USC Data Science Initiative — Data science and machine learning applications across multiple domains

Industry partners

South Carolina Department of Health and Environmental ControlPrisma HealthBlueCross BlueShield of South Carolina

Notable faculty

  • Jianjun Hu (Automated machine learning and neural architecture search)

Location advantage: Access to state government agencies for applied ML projects Proximity to Prisma Health's healthcare AI initiatives Growing biotech and healthcare tech sector in Columbia