Best Bachelor's Artificial Intelligence Degree Programs in South Carolina
Coastal Carolina University — Conway, SC
Key Distinction: Coastal Carolina differentiates through its emphasis on applied AI projects embedded in regional industry partnerships, allowing students to build portfolio work solving actual business problems rather than theoretical exercises.
Hakia Insight: Coastal Carolina embeds AI coursework directly into regional partnerships solving real fintech and healthcare problems, meaning students build portfolio pieces employers recognize immediately rather than academic toy problems—a compressed path from classroom to hire.
At the bachelor's level, coastal Carolina's artificial intelligence coursework integrates practical machine learning applications with foundational computer science theory, positioning students to work on real-world problems from day one. The program emphasizes hands-on experience through capstone projects and internships with regional technology firms, particularly those in healthcare, finance, and logistics sectors operating in the Southeast. Students can specialize in machine learning, natural language processing, or computer vision depending on their career interests, with flexibility to tailor electives around emerging AI technologies. Faculty bring industry experience alongside academic credentials, creating a bridge between classroom concepts and workplace expectations. The relatively small cohort size means personalized mentorship and stronger relationships with professors who actively involve students in their research. Graduates report strong placement outcomes in mid-market tech companies, consulting firms, and Fortune 500 regional offices, often in roles that combine AI implementation with domain expertise. The location near Charlotte and the Research Triangle provides networking access to major tech employers without the competition intensity of Silicon Valley recruitment pipelines.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: Proximity to Charlotte tech corridorAccess to Research Triangle region employersGrowing fintech and healthcare AI ecosystem in Southeast
Wofford College — Spartanburg, SC
Key Distinction: A liberal arts AI education emphasizing student-faculty research partnerships and real-world applications, producing adaptable technologists rather than narrow specialists.
Hakia Insight: Wofford's liberal arts AI curriculum prioritizes student-faculty research collaboration over specialization depth, producing adaptable technologists who navigate emerging fields by learning how to learn rather than mastering fixed toolsets that commoditize within 3-5 years.
At the bachelor's level, wofford College's computer science program weaves artificial intelligence and machine learning into a rigorous liberal arts computer science curriculum that prioritizes close collaboration between faculty and students. Rather than a standalone AI track, Wofford integrates AI concepts across core courses—algorithms, data structures, and software engineering—while offering focused electives in machine learning and applications to problems ranging from environmental monitoring to business analytics. The program thrives on student-faculty research partnerships and capstone projects where students apply AI techniques to real problems; a student might build a predictive model for local nonprofits, develop a computer vision system for an internship, or contribute to faculty research in computational methods. Wofford's strength lies in its ability to produce graduates who combine deep technical understanding with broad intellectual flexibility—crucial in a field evolving as rapidly as AI. Placement outcomes reflect this: students pursue careers in tech companies, data science roles, and graduate programs at top-tier universities, often citing mentorship and collaborative learning as decisive factors in their preparation.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Accreditations and Certifications
Location Advantages: Proximity to Charlotte tech sceneAccess to Southeastern research and technology sectors
Charleston Southern University — Charleston, SC
Hakia Insight: Unable to generate insight: insufficient program-specific data provided.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages:
Furman University — Greenville, SC
Hakia Insight: Unable to generate insight: insufficient program-specific data provided.
At the bachelor's level, the content provided does not contain information specifically about Furman University's Artificial Intelligence program. The sources discuss applied physics/engineering, strategic design, linguistics, and general computer science, but do not provide details about a dedicated AI program.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages:
Benedict College — Columbia, SC
Hakia Insight: Unable to generate insight: insufficient program-specific data provided.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages:
Bob Jones University — Greenville, SC
Hakia Insight: Unable to generate insight: insufficient program-specific data provided.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages:
Presbyterian College — Clinton, SC
Key Distinction: Presbyterian College offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Without published outcomes data, Presbyterian College's regional focus in Clinton, SC positions it as an accessible entry point for students seeking AI training without the competition or cost of flagship programs—though prospective students should directly verify employment outcomes and industry partnerships before enrolling.
Presbyterian College offers Artificial Intelligence programs in Clinton, SC. As a private institution, it provides accessible education pathways for students in the region.
Claflin University — Orangeburg, SC
Key Distinction: Claflin University offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Claflin's historically Black university status in Orangeburg creates a distinctive pipeline into AI careers for underrepresented populations, yet the program lacks visible research labs or named industry partners that would signal graduate employment strength to employers.
Claflin University offers Artificial Intelligence programs in Orangeburg, SC. As a private institution, it provides accessible education pathways for students in the region.
Coker University — Hartsville, SC
Key Distinction: Coker University offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Coker University's Hartsville location offers intimacy and affordability, but the absence of named faculty, research facilities, or employer partnerships in publicly available data raises questions about whether the program has the infrastructure depth needed to compete with South Carolina's better-resourced AI programs.
Coker University offers Artificial Intelligence programs in Hartsville, SC. As a private institution, it provides accessible education pathways for students in the region.
Best Master's Artificial Intelligence Degree Programs in South Carolina
University of South Carolina-Columbia — Columbia, SC
Key Distinction: USC Columbia integrates AI training within a broader computer science framework, offering flexibility for students to tailor their specialization while maintaining strong regional connections in healthcare and fintech sectors.
Hakia Insight: USC Columbia's dual MS/MA AI degrees sit within three dedicated labs (AISys, AI Institute, ML-Evolution) while drawing partnerships with Microsoft and the U.S. Navy—a combination that lets students pivot between systems research and applied industry work without changing schools.
At the master's level, USC Columbia's computer science department offers AI and machine learning coursework within its graduate and undergraduate curriculum, allowing students to build specializations in areas like neural networks, deep learning, and data mining. The program sits within a research-active department where faculty investigate applications spanning healthcare informatics, cybersecurity, and business intelligence. Students benefit from the university's location in the state capital and proximity to growing fintech and healthcare technology sectors in the Midlands region. The department maintains collaborations with regional technology companies and government agencies, providing internship opportunities and real-world datasets for capstone projects. While not exclusively focused on AI, the program's flexibility allows motivated students to design coursework around machine learning fundamentals, advanced algorithms, and applied AI projects. Graduates pursue roles in data science, software engineering with AI components, and research positions at tech companies, healthcare organizations, and consulting firms.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Artificial Intelligence Institute
- Artificial Intelligence and Systems Laboratory (AISys)
- Machine Learning and Evolution Laboratory
- Adaptive Real-Time Systems Laboratory (ARTS-Lab)
- Advanced Materials Discovery and Simulation Laboratory
- Human-Computer Interaction and User Experience Laboratory (HCI/UX)
Industry Partners
- U.S. Navy (sponsor)
- NTT Data Services (employer)
- Microsoft (employer)
- EY (employer)
- Stanley Black and Decker (employer)
- Epic (employer)
- DXC Technology (employer)
- Savannah River National Laboratory (partner)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Homayoun Valafar — Artificial Intelligence
- Dr. Pooyan Jamshidi — Autonomous Systems, Transfer Learning, Deep Learning, Reinforcement Learning
- Dr. Jianjun Hu — Deep learning, machine learning, materials discovery, bioinformatics
- Dr. Amit Sheth — Computer Science & Engineering, AI
- Dr. Austin Downey — Machine learning, real-time control, structural health monitoring
- Dr. Ming Hu — High-throughput computation, machine learning, materials design
Location Advantages: Located in South Carolina's state capital with growing fintech and healthcare tech sectorsAccess to regional corporate headquarters and government agencies
College of Charleston — Charleston, SC
Key Distinction: First master's degree in Data Science offered in South Carolina. Excellent faculty-to-student ratio with personalized mentorships
Hakia Insight: College of Charleston's 30-credit MS in Data Science was South Carolina's first in this domain, and its three specialized labs (Cybersecurity, ML/Data Science, IoT) paired with Boeing and Volvo partnerships suggest employers actively recruit from here—making it a credible regional alternative to Atlanta or NC programs.
The Master of Science in Data Science and Analytics at College of Charleston is a 30-credit program designed for working professionals seeking expertise in artificial intelligence, machine learning, and business intelligence. The program offers a comprehensive curriculum with flexible learning through partnerships with industry leaders including Boeing, Volvo, Booz Allen Hamilton, and Mercedes-Benz. Students benefit from an excellent faculty-to-student ratio enabling personalized mentorships, cutting-edge research opportunities in state-of-the-art labs, and connections to Charleston's booming local tech industry. The program prepares graduates for high-demand data science roles across national security, genomics, drug informatics, and biomedical sectors. As South Carolina's first master's degree in Data Science, the program leverages an extensive alumni network for career advancement, with notable alumni including data scientists at Google and other Fortune 500 companies.
Programs Offered
- Master of Science in Data Science and Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Cybersecurity Research Lab
- Machine Learning and Data Science Lab
- Data Mining and IoT Connectivity Lab
- Artificial Intelligence Lab
- Drones Research Lab
- Health Informatics Lab
- Cloud Computing Lab
- Computer Music and Interaction Lab
Industry Partners
- Boeing (partner)
- Volvo (partner)
- Booz Allen Hamilton (partner)
- Mercedes-Benz Vans (partner)
- Microsoft Research (employer)
- Google (employer)
- AstraZeneca (employer)
Career Outcomes
Top Employers: Boeing, Google.
Accreditations and Certifications
Location Advantages: Charleston's growing tech sector and tourism technology companiesProximity to financial services and regional corporate headquarters
Citadel Military College of South Carolina — Charleston, SC
Key Distinction: Four specialization tracks available. Cybersecurity specialization founded on NSA academic requirements
Hakia Insight: The Citadel's NSA-aligned cybersecurity specialization within its joint MS with College of Charleston creates a rare pathway for professionals seeking defense-cleared credentials without leaving the Charleston tech corridor or sacrificing the flexibility of the Navy/aerospace partnerships available nearby.
The Citadel's Master of Science in Computer and Information Sciences is a joint program with the College of Charleston designed for working professionals seeking advanced credentials while maintaining career flexibility. Students choose from four specializations: Cybersecurity (NSA-founded curriculum), Software Engineering, Information Systems, or Computer Science. Classes are held in-person at both campuses, accommodating professionals' schedules. The program emphasizes real-world application over abstract theory, enabling immediate career advancement and skill deployment. Admission requires a bachelor's degree (3.0+ GPA preferred) and demonstration of prerequisite competencies in computer architecture, object-oriented programming, discrete mathematics, and data structures. A statement of purpose is required. The curriculum balances theoretical foundations with practical software development, architecture, and cybersecurity skills valued by employers across defense, technology, and enterprise sectors.
Programs Offered
- Master of Science in Computer and Information Sciences — 1-2 years, on-campus. MS
Industry Partners
- Booz Allen Hamilton (corporate)
- Lockheed Martin (corporate)
Location Advantages: Proximity to Charleston tech corridorAccess to defense and aerospace industry hubs
Best Doctoral Artificial Intelligence Degree Programs in South Carolina
Clemson University — Clemson, SC
Key Distinction: Research available on main campus or Charleston Graduate Education Center. Hybrid and online course formats available
Hakia Insight: Clemson's Ph.D. programs in Electrical and Computer Engineering let doctoral candidates specialize in AI while accessing the $18M-plus CVEL lab and proximity to Boeing, Michelin, and GM—a combination that positions graduates for both postdocs and direct industry roles in autonomous systems.
Clemson University offers Ph.D. programs in Electrical Engineering and Computer Engineering with research specialization in artificial intelligence, quantum computing, IoT technologies, information security, communications, energy, and healthcare. The program requires 60 credit hours for students without an M.S. (including 18 credits of dissertation research) or 42 credit hours for those with an M.S. Students work with advisory committees of at least four tenure-track faculty members, with three from ECE and one external member. The interdisciplinary research department emphasizes original research, publication, and technological innovation. Students can complete coursework on the main campus or at the Charleston Graduate Education Center, with many hybrid and online course options available. The program prepares graduates for leadership roles in academic research, industrial R&D departments, national laboratories, and cutting-edge technology companies. GRE scores are not required but may be included to strengthen applications.
Programs Offered
- Computer Engineering, Ph.D. / Electrical Engineering, Ph.D. — 4-6 years, on-campus. Ph.D.
Research Labs and Institutes
- Clemson University Vehicular Electronics Laboratory (CVEL)
Industry Partners
- Boeing (corporate)
- Michelin (corporate)
- General Motors (corporate)
Notable Faculty
Admissions
GPA Requirement: 3.0 minimum. Application Deadline: Priority deadline: March 15, Traditional deadline: April 15.
Requirements: Advisory committee of at least 4 tenure-track faculty, 18 credits dissertation research, Final examination, Dissertation defense, Minimum letter-graded coursework requirements
Location Advantages: Close proximity to automotive and aerospace manufacturers in the SoutheastAccess to regional tech hubs and Fortune 500 engineering centers
University of South Carolina-Columbia — Columbia, SC
Key Distinction: USC Columbia integrates AI training within a broader computer science framework, offering flexibility for students to tailor their specialization while maintaining strong regional connections in healthcare and fintech sectors.
Hakia Insight: USC Columbia's dual PhD/DSc AI programs pair Dr. Pooyan Jamshidi's deep learning and reinforcement learning expertise with access to Microsoft and NTT Data partnerships, creating a rare opportunity for doctoral candidates to publish in reinforcement learning while solving real fintech and healthcare problems.
At the doctoral level, USC Columbia's computer science department offers AI and machine learning coursework within its graduate and undergraduate curriculum, allowing students to build specializations in areas like neural networks, deep learning, and data mining. The program sits within a research-active department where faculty investigate applications spanning healthcare informatics, cybersecurity, and business intelligence. Students benefit from the university's location in the state capital and proximity to growing fintech and healthcare technology sectors in the Midlands region. The department maintains collaborations with regional technology companies and government agencies, providing internship opportunities and real-world datasets for capstone projects. While not exclusively focused on AI, the program's flexibility allows motivated students to design coursework around machine learning fundamentals, advanced algorithms, and applied AI projects. Graduates pursue roles in data science, software engineering with AI components, and research positions at tech companies, healthcare organizations, and consulting firms.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Research Labs and Institutes
- Artificial Intelligence Institute
- Artificial Intelligence and Systems Laboratory (AISys)
- Machine Learning and Evolution Laboratory
- Adaptive Real-Time Systems Laboratory (ARTS-Lab)
- Advanced Materials Discovery and Simulation Laboratory
- Human-Computer Interaction and User Experience Laboratory (HCI/UX)
Industry Partners
- U.S. Navy (sponsor)
- NTT Data Services (employer)
- Microsoft (employer)
- EY (employer)
- Stanley Black and Decker (employer)
- Epic (employer)
- DXC Technology (employer)
- Savannah River National Laboratory (partner)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Homayoun Valafar — Artificial Intelligence
- Dr. Pooyan Jamshidi — Autonomous Systems, Transfer Learning, Deep Learning, Reinforcement Learning
- Dr. Jianjun Hu — Deep learning, machine learning, materials discovery, bioinformatics
- Dr. Amit Sheth — Computer Science & Engineering, AI
- Dr. Austin Downey — Machine learning, real-time control, structural health monitoring
- Dr. Ming Hu — High-throughput computation, machine learning, materials design
Location Advantages: Located in South Carolina's state capital with growing fintech and healthcare tech sectorsAccess to regional corporate headquarters and government agencies
