2 Best AI Masters Degree Programs in South Carolina

Artificial intelligence and machine learning continue to emerge as rewarding career paths with lucrative salaries. South Carolina’s thriving AI ecosystem is a chance for aspiring professionals, from Charleston’s Digital Corridor to advanced manufacturing innovations. The state houses two exceptional AI masters degree programs in South Carolina. The University of South Carolina Aiken offers an MBA in AI for Business, ranked #36 among Top Public Schools by U.S. News & World Report. You can complete it in as few as 10 months for $13,948. The College of Charleston provides an M.S. in AI and Data Science that you can finish in 12 months if you choose.

1. University of South Carolina Aiken – MBA in Artificial Intelligence for Business

Program Overview and AACSB Accreditation

The University of South Carolina Aiken delivers an online MBA in Artificial Intelligence for Business that positions you to lead AI integration initiatives in a variety of industries. This program merges foundational business education with AI competencies and prepares you to develop AI use cases for different business environments. The curriculum emphasizes business intelligence, ethical AI implementation, and applications in sectors like healthcare diagnostics, research and administration.

AACSB International accreditation distinguishes this program and assures quality standards while promoting excellence in graduate business education. The Association to Advance Collegiate Schools of Business represents the gold standard of business school accreditation. USC Aiken’s School of Business Administration has recognition for outstanding degree programs at undergraduate and graduate levels. This accreditation guarantees the program meets rigorous educational standards and maintains continuous improvement in curriculum delivery.

USC Aiken earned recognition as #27 among “Top Public Universities in the South” by U.S. News & World Report for 2024. The online MBA program also received acknowledgment as one of the “Best Online MBA Programs” by U.S. News & World Report in 2024 and ranked #136 out of 364 programs nationally. The program achieved #77 in Best Online MBA Programs for Veterans, which reflects the university’s commitment to military-connected students. Military Times has noted the institution as a “Best for Vets” university, with both online bachelor’s and MBA programs recognized as optimal choices for veterans.

The program operates online and enables you to complete coursework from anywhere in the world. All courses feature recorded and archived classes. This provides flexibility for working professionals who balance career and personal obligations. Faculty members bring relevant business expertise and academic qualifications, with the program scoring 96 in Faculty Credentials and Training. The online format delivers courses around the clock and allows you to progress through the curriculum at a pace that fits your professional commitments.

International students can enroll in the MBA program from their home country. But this program does not issue Form I-20 documentation for F-1 visa purposes. The 100% online delivery method eliminates the need for physical presence in the United States.

Admission Requirements and Application Process

You must hold a bachelor’s degree from an accredited institution of higher learning to qualify for admission. The program requires a minimum cumulative GPA of 3.0 from your undergraduate studies. Relevant work experience in business or related fields strengthens your application, though the program does not mandate years of experience. The acceptance rate stands at 93%, with 587 accepted students from 633 applicants. New entrants demonstrate an average undergraduate GPA of 3.2.

The program waives GMAT and GRE requirements for applicants who meet the GPA threshold and streamlines the admission process. This policy eliminates standardized testing barriers while maintaining academic standards through GPA evaluation. Admitted students who submitted test scores averaged 620 on the GMAT and 151 verbal, 149 quantitative, and 4.8 analytical writing on the GRE.

Your application package should include an online application with the application fee, a current resume or CV, two letters of recommendation and unofficial transcripts from all post-secondary institutions attended. You must also submit a statement of intent that explains why you believe you would succeed in the program and outlines your future career plans. The program operates on a rolling admission deadline, with the next application deadline of July 27, 2026, for classes starting August 18, 2026.

International applicants whose undergraduate degree was awarded outside the United States must demonstrate English proficiency through standardized testing. The program accepts three testing options with minimum scores. You must achieve a TOEFL paper-based test (PBT) score of 551 or higher, or a TOEFL internet-based test (iBT) score of 80 or higher. You can also submit an IELTS score of 6.0 or higher band score with no subscore lower than 5, or a PTE Academic (Pearson Test of English) score of 53 or higher. No provisional admission based upon English proficiency exists. You must meet at least one requirement and send official test scores for admission consideration.

Applicants must be U.S. citizens or permanent residents for certain program considerations, though international students can enroll in the online format from anywhere. The new student retention rate reached 66% for the three-year graduation period through 2024-2025.

Tuition, Fees, and Program Duration

The program requires 30 credit hours completed over 10 months and represents one of the most accelerated MBA options in artificial intelligence education. This condensed timeline enables you to earn your degree and transition into AI-focused roles faster than traditional two-year MBA programs. The seven-week course format contributes to the structure, with each specialization course spanning seven weeks.

Tuition costs $467.00 per credit hour and translates to $1,401.00 per three-credit course. The total program cost with fees amounts to $13,948.00. Tuition rates remain similar for in-state and out-of-state students and eliminate geographic cost barriers.

Additional fees apply beyond base tuition. The application fee costs $45.00 for domestic students and $100.00 for international applicants. A matriculation fee of $85.00 applies as a one-time charge for all newly admitted, degree-seeking students. International students pay an additional international student fee of $300.00. Readmitted students face a $10.00 fee, while reinstatement requires $75.00 per occurrence.

These published costs exclude course materials, textbooks and proctoring fees. You should budget for these supplementary expenses when you calculate total program investment. Financial aid options include unsubsidized federal Stafford Loans and Graduate PLUS loans available through FAFSA. You can also explore funding through employer reimbursement programs, tuition discounts, private loans and external scholarships and grants. Among 2024-2025 graduates who borrowed, the average debt reached $26,485, with 38% of graduates carrying debt.

The USC Aiken MBA Program considers transfer of graduate credit from other AACSB-accredited MBA programs and accepts up to a maximum of 6 credits. This transfer policy can reduce your time to completion and overall program cost if you have relevant prior graduate coursework.

Core Curriculum and AI Specialization Courses

The curriculum has 30 credits distributed over 10 courses and includes 18 hours of business and flexible core classes, 9 hours in the AI concentration and one elective. This structure builds foundational knowledge in accounting, finance, marketing and management while developing AI competencies.

You must complete five required core courses that cover essential business disciplines. These foundational courses provide the business acumen necessary to apply AI solutions within organizational contexts. The curriculum prepares you to meet personal and professional goals while opening doors to higher-level career opportunities. Core topics span marketing, accounting, finance, business law and management principles essential for executive decision-making.

The AI specialization requires three mandatory courses totaling 9 credits, each delivered in seven-week intensive formats:

MGSC A747: AI for Business (3 credit hours) gives you the knowledge and skills to identify opportunities for state-of-the-art solutions and develop strategic frameworks for AI integration within organizations. You gain understanding of AI technologies, their business implications and ethical considerations surrounding deployment. This course emphasizes application and teaches you to recognize business problems best solved through AI implementation and understand how to lead teams through cultural changes when traditional processes become automated or augmented.

MGSC A737: Business Intelligence (3 credit hours) focuses on using software and services to transform data into applicable information that informs organizational decision-making. The course develops your competency in business intelligence tools and methodologies and enables you to extract value from organizational data and support strategic initiatives with evidence-based analysis.

HSPM A729: AI in Healthcare (3 credit hours) explores artificial intelligence’s potential in the healthcare industry through theoretical concepts and real-life applications. You gain understanding of how AI improves patient care, boosts diagnostics, speeds up drug discovery and optimizes healthcare operations. This course addresses one of AI’s most important application domains and prepares you to work in healthcare technology, administration or consulting roles.

The program delivers a holistic education that prepares you for leadership roles in different business environments. Average class size reaches 26 students, with a maximum class size of 40. This creates an intimate learning environment that helps interaction and discussion. The engagement score of 73 reflects student interaction levels within the online learning platform.

Beyond the structured curriculum, you develop capabilities to identify business problems best solved by AI, understand how to lead teams through cultural transformation during automation, recognize AI’s effect on various business processes and comprehend legal and ethical implications of AI usage. These competencies extend beyond technical knowledge to include leadership, change management and strategic thinking essential for senior business roles.

The certificate of completion for the specialization acknowledges your focused study in AI for business, though the specialization designation does not appear on the official transcript or diploma. Your degree confers the Master of Business Administration credential, with the AI specialization recognized through the certificate document.

Career Opportunities and Graduate Outcomes

You possess tools and knowledge to compete for senior-level positions that require both business acumen and AI expertise after completing the MBA in Artificial Intelligence for Business. The program prepares you for five primary career trajectories:

AI Project Manager roles involve overseeing artificial intelligence implementation initiatives and coordinating cross-functional teams while managing timelines and budgets. You ensure successful deployment of AI solutions within business operations. Your business foundation combined with AI technical understanding positions you to bridge communication between technical teams and executive stakeholders.

Data Science Manager positions require leadership of analytics teams, strategic direction of data science initiatives and translation of complex analytical findings into business strategy. The business intelligence coursework and foundational business skills prepare you to manage data science departments while you line up analytical work with organizational objectives.

AI Strategist careers focus on developing organizational AI adoption roadmaps and identifying high-value AI use cases while guiding executive leadership through digital transformation. Your training in AI ethics and business applications enables you to craft strategies that balance state-of-the-art solutions with responsible implementation.

AI Product Manager roles combine product management discipline with AI technical knowledge. You oversee development of AI-powered products and features. You manage product roadmaps, prioritize feature development and ensure AI products meet market needs while maintaining ethical standards.

AI Marketing Manager positions apply artificial intelligence to marketing functions and implement AI-driven customer segmentation, personalization engines, predictive analytics and automated campaign optimization. Your marketing foundation combined with AI competencies enables you to deploy advanced marketing technologies.

These career paths reflect the program’s emphasis on process optimization to improve operations, strategic decision-making and problem-solving through AI integration. You gain competitive advantage for top roles that use AI for business success, with the 10-month completion timeline enabling faster career transition than traditional MBA programs.

The program’s learning outcomes extend to identifying AI opportunities, leading organizational change during automation, recognizing AI effects on business processes and understanding legal and ethical AI implications. These capabilities exceed job titles and prepare you for leadership in any organization adopting AI technologies.

Graduates enter a marketplace where AI skills command premium compensation. The combination of MBA business training with AI specialization positions you for roles at the intersection of technology and business strategy, which is an ever-changing career segment. Your AACSB-accredited degree carries recognition

2. College of Charleston – M.S. in Artificial Intelligence and Data Science

Program Overview and Key Highlights

The College of Charleston launched the Master of Science in Artificial Intelligence and Data Science as South Carolina’s first graduate program in data science. The program debuted in July 2019 with the title Master of Data Science and Analytics but evolved to reflect the growing emphasis on artificial intelligence applications. This pioneering status positions the institution as the first university in South Carolina to offer a masters degree in data science.

The program trains the next generation of leaders and professionals in artificial intelligence, machine learning, business intelligence, and data analytics. This curriculum provides pathways for achievement whether you aim for careers in AI development, machine learning engineering, or analytics positions. The program serves as a beacon of advanced training and research throughout the state and is situated in Charleston.

Three core goals drive the program’s mission. Education equips you with vital skills and understanding needed for success in artificial intelligence, data science, and analytics. Research pioneers the adoption of data science techniques in academic and professional disciplines of all types. Breakthroughs train you to make use of information in developing solutions for artificial intelligence, digital healthcare, and environmental informatics.

The accelerated curriculum prepares you for your career within 13 months of intensive study. This condensed timeline reflects the program’s design as an accelerated curriculum that brings together students from diverse backgrounds to solve challenging problems in business. You learn machine learning, artificial intelligence, big data, and analytics through a detailed approach.

Students from any undergraduate background can enroll. The program does not require a computer science or math degree. The reasoning behind this inclusive approach recognizes that students with a knack for data science can learn necessary computational and mathematical foundations through courses offered in the summer semester of the first year. The program values curiosity and out-of-the-box thinking alongside technical aptitude.

An industry practicum offers hands-on experience through partnerships with prominent companies. Charleston’s thriving corporate and research ecosystem has Boeing, Volvo Cars, Booz Allen Hamilton, Bosch, Mercedes-Benz Vans, Blackbaud, Capgemini, and the Medical University of South Carolina, among many others. These partnerships provide unique career chances in artificial intelligence, data science, analytics, and related technology fields. Students engage in cutting-edge research with world-class faculty and state-of-the-art research labs and gain hands-on experience as they find possibilities in this expanding field.

The program prepares you to solve challenging problems in fields ranging from finance and medicine to marketing and cybersecurity in an ever-changing digital world. As a data scientist, you help tell stories through numbers and shed light on problems facing organizations while developing solutions for tomorrow. Data science represents the point where computer science and statistics join to shape the future through data. A data scientist shows creativity, breaks traditional academic boundaries, and recognizes the power of knowledge discovery through data.

Charleston offers more than scenic beauty for your graduate studies. The city boasts a booming local tech industry that provides ample internships and future employment prospects. You benefit from outstanding faculty-to-student ratios that ensure personalized learning and excellent faculty-student mentorships. An active alumni network connects you with industry professionals and career chances.

The program requires 30 credit hours distributed across required courses, electives, and practicum or thesis work. You complete 18 required credit hours, 6 elective credit hours, and 6 practicum or thesis credit hours. This structure balances foundational knowledge, specialized study, and real-life application or research experience.

Program duration offers flexibility matching your professional and personal commitments. You can complete the degree in 12 months by taking 12 credit hours in Fall, 12 credit hours in Spring, and 6 credit hours in Summer. A typical 12-month plan has DATA 531, DATA 510, MATH 550, and one elective during Fall semester. Spring semester has DATA 534, DATA 507, one elective, and the first DATA 698 or DATA 699 course. Summer session has CSIS 638 and the second DATA 698 or DATA 699 course. Besides the 12-month accelerated option, you may choose completion timelines of 18, 24, or even 30 months depending on your circumstances.

Graduate assistantships provide financial support for qualified students. The program offers a limited number of paid assistantship positions along with graduate school fellowships. All applicants who submit materials by the priority deadline receive automatic consideration without requiring separate applications. Applications received after the priority deadline are considered based on availability.

You choose between thesis or practicum options to complete your culminating experience. The practicum embeds you with companies for hands-on learning outside the classroom. The thesis requires conducting research and completing a dissertation under supervision of an academic advisor. This choice allows you to tailor your experience based on career goals, with practicum suited for industry-focused careers and thesis appropriate for research-oriented paths.

The College of Charleston holds historical significance as the 13th oldest institution in the United States while maintaining forward focus on emerging fields. This combination of established reputation and innovative programming distinguishes the institution among AI masters degree programs in South Carolina.

Admission Requirements and Application Process

The program accepts students from diverse academic backgrounds and reflects its inclusive philosophy. You can apply whatever your undergraduate major, provided you show competency in core technical areas. This open access distinguishes the program from those requiring specific undergraduate degrees.

Prospective students must show competency in statistics, linear algebra, calculus, and computer programming. These four areas form the foundational knowledge necessary for graduate-level data science coursework. You can show competency through coursework where you earned grades of B- or higher. This competency-based approach reviews your preparation rather than requiring specific degree titles.

The application process operates online and streamlines submission and review. Several documents make up the complete application file. You submit an online application as the foundation of your materials. An application fee of $60.00 applies, but this fee can be waived based on showed competency in all four core areas mentioned above. Official transcripts from all previously attended institutions document your academic history. International transcripts require credential evaluation to assess equivalency.

Your statement of purpose represents a critical component spanning 300-500 words. This statement discusses your reasons for applying to the program, areas of interest within data science and AI, and career objectives. The statement provides admission reviewers insight into your motivations and goals beyond quantitative measures.

Letters of recommendation support your application, but the specific number required should be verified during application. A current resume completes your professional profile. These materials combine to present a detailed picture of your qualifications and potential.

The GRE is not required for admission to the program. This policy removes standardized testing barriers while maintaining rigorous academic standards through other evaluation criteria. The absence of GRE requirements accelerates the application timeline and reduces financial burden on applicants.

International applicants whose native language is not English must provide proof of English proficiency through TOEFL or IELTS scores. This requirement ensures you possess language skills necessary for success in graduate coursework conducted in English. You should confirm specific score minimums through official program channels.

Application deadlines follow a structured timeline for Fall admission. The priority deadline falls on February 1 and provides early consideration for graduate assistantships and fellowships. International applications face a final deadline of March 1 and allow time for visa processing. Domestic applications accept submissions until the final deadline of July 1. All application materials should be received by these respective deadlines, letters of recommendation included.

The program admits students for Fall semester only, with no Spring or Summer admission cycles. This annual cohort model creates community among students who progress through the curriculum together.

Additional program-specific requirements may apply as detailed on the official website. You should review current admission criteria during your application planning to ensure you meet all expectations. Requirements can evolve as programs develop, so verification of current standards is prudent.

Your file remains incomplete until all documents have been submitted and processed. You should prepare application materials well in advance of applying to avoid delays. Admission decisions cannot be made on incomplete files, so thorough preparation is essential.

The program targets individuals excelling in fields such as national security, genomics, drug informatics, and biomedical informatics. These application areas reflect the breadth of data science and AI effect across sectors. Your background and interests should align with these or related domains where data-driven decision making creates value.

Tuition, Fees, and Program Duration

The program structure revolves around 30 credit hours required for degree completion. This credit requirement balances detailed coverage of data science and AI topics with efficient progression toward graduation. The distribution across required courses, electives, and practicum or thesis work ensures breadth and depth in your education.

You can complete the entire program within 12 months through the accelerated option. This timeline positions the program among the fastest AI masters degree programs in South Carolina for degree attainment. The 12-month path requires full-time enrollment with 12 credits in Fall semester, 12 credits in Spring semester, and 6 credits in Summer session.

Besides the accelerated track, you may extend completion to 18, 24, or 30 months based on professional and personal commitments. This flexibility accommodates working professionals who balance career responsibilities with graduate education. Part-time enrollment options enable you to maintain employment while pursuing advanced credentials.

Tuition and fee information requires verification through official university channels, as the factual keypoints provided do not have current 2026 tuition rates. You should consult the College of Charleston graduate admissions office for accurate cost information. Financial planning represents an essential step in your graduate education trip.

The application fee costs $60.00 for all applicants. But this fee can be waived based on showed competency in statistics, linear algebra, calculus, and computer programming. The waiver policy recognizes well-prepared applicants and reduces financial barriers to application.

Graduate assistantships provide valuable financial support for qualified students. These paid positions help defray enrollment costs while providing professional experience. A limited number of assistantship positions are available, with automatic consideration for applicants meeting the priority deadline of February 1. The competitive nature of assistantships makes early application advantageous.

Graduate school fellowships supplement assistantship chances as additional funding sources. These fellowships may carry different eligibility criteria and benefits compared to departmental assistantships. You should find all available funding options when planning your graduate education financing.

Beyond tuition and fees, you should budget for living expenses in Charleston. The city offers diverse housing options from downtown apartments to suburban residences. Cost of living considerations factor into your overall graduate program investment alongside direct educational expenses.

The 12-month accelerated completion timeline reduces cost compared to traditional two-year graduate programs. You can transition to career advancement or new positions faster while minimizing time away from full earning potential. This timeline advantage benefits professionals seeking rapid credential acquisition.

International students should account for additional expenses that have visa fees, international student health insurance, and travel costs. These supplementary expenses compound direct program costs and require careful financial planning.

The program’s structure with 18 required credits, 6 elective credits, and 6 practicum or thesis credits provides clarity for degree planning. You can map your progression through required coursework, select electives aligned with career interests, and prepare for culminating practicum or thesis experience. This transparency makes effective academic planning and timeline management easier.

Core Curriculum and AI Specialization Courses

The curriculum architecture divides 30 total credit hours into three components that deliver detailed data science and AI education. Required courses that make up 18 credit hours establish foundational competencies across core domains. Elective courses totaling 6 credit hours enable specialization aligned with your interests and career goals. Practicum or thesis work representing the final 6 credit hours provides hands-on application or research experience.

Required coursework builds essential skills in data science techniques, statistical methods, machine learning algorithms, and AI applications. These courses progress from foundational concepts to advanced applications and scaffold your knowledge in a systematic way. Faculty deliver instruction that combines theoretical frameworks with real-life implementation using current tools and technologies.

The typical 12-month completion plan structures courses across three semesters and optimizes learning progression. Fall semester has DATA 531, DATA 510, MATH 550, and one elective course totaling 12 credit hours. This original semester establishes mathematical and computational foundations while introducing data science concepts. The addition of one elective during Fall semester allows early exploration of specialized topics.

Spring semester has DATA 534, DATA 507, one elective, and the first DATA 698 or DATA 699 course totaling 12 credit hours. This semester advances technical skills while starting practicum or thesis work. The continuation of elective options enables deeper special

Next Steps

South Carolina offers two strong pathways for your AI education experience. The University of South Carolina Aiken’s 10-month MBA combines business acumen with AI specialization for $13,948, while the College of Charleston delivers South Carolina’s first data science masters with hands-on practicum opportunities. Neither path requires GMAT or GRE scores, removing traditional barriers to entry.

Your ideal choice depends on whether you prioritize business leadership roles or technical data science positions. Both programs feature accelerated timelines that let you advance your career fast. Now that you understand these options, it’s time to review which program lines up best with your professional aspirations and apply before the 2026 deadlines.