The 7 Best AI Masters Degree Programs in Tennessee

AI masters in Tennessee position you to capture a share of the $15.7 trillion artificial intelligence is predicted to add to the global economy by 2030. Computer and IT jobs are projected to grow by 13% through 2030. AI-specific roles are expanding by 32%. Qualified professionals are needed more than ever. Tennessee universities offer diverse pathways into this booming field. You can choose specialized MS in Business Analytics and AI programs among other computer science concentrations. This list takes a closer look at seven top programs across the state. We cover curriculum details, admission requirements and career outcomes to help you choose the right fit.

1. Vanderbilt University – MS in Artificial Intelligence

Program Overview

Vanderbilt University’s College of Connected Computing launched its fully online Master of Science in Artificial Intelligence in 2026. The program was designed for working professionals who want to shape AI strategy in their organizations without requiring technical backgrounds. This 30-credit graduate degree differs from traditional ai masters degree programs in Tennessee by focusing on organizational AI implementation rather than pure technical development. The program addresses a critical gap: professionals whose field expertise and judgment about what to build, for whom, and how to get it adopted represent the scarcest resource in organizational AI.

The curriculum was tested inside real organizations before enrolling a single student. Every course was built around one question: how does this make you better at your job on Monday? You complete the program with a working AI solution and a portfolio of applied projects drawn from real problems in your field. You’ll know how to present your case to executives. Applications opened for Fall 2026 and Spring 2027. Inaugural cohort members are eligible for merit awards that reduce tuition by a lot.

Key Curriculum Features

The program spans 20 courses delivered in eight-week modules. It blends live and self-paced learning across three distinct phases. The AI Literacy phase teaches you what an AI system does and how different stakeholders frame the same problem. AI Fluency develops your skills to build quality standards and assess AI outputs. AI Leadership captures your institutional expertise in forms your organization can use.

The cross-industry cohort model brings together healthcare administrators, policy analysts, and supply chain directors who learn from one another’s viewpoints. The sequence ends in two capstone projects. One is developed with an industry mentor and presented to a panel of practitioners. Students become full members of the Vanderbilt CCC community. Each fall and spring semester, you have opportunities to visit campus in Nashville for networking and participation in the AI Showcase.

Admission Requirements

You can apply without GRE scores or application fees. The program requires submission of:

• Online application through the Graduate School portal
• Current resume
• Unofficial transcripts from all undergraduate and graduate institutions where you earned a degree, studied for one semester or more, or earned 12 or more credit hours
• One statement of purpose outlining your reasons for graduate study and future plans
• Three letters of recommendation

You must provide official transcripts directly from your institutions’ registrar offices to cdm@vanderbilt.edu before classes begin if admitted. International applicants should review additional requirements on the International Applicants page. Official transcripts become required only after you accept an admission offer.

Tuition and Financial Aid

The program’s tuition structure for 2025-2026 has:

Tuition and fees are subject to annual changes. Merit awards for the inaugural cohort reduce these costs by a lot. Master’s students who are U.S. citizens or permanent residents qualify for federal financial aid through the Free Application for Federal Aid (FAFSA). International students can explore Prodigy Finance and MPOWER Financing, which offer loans without requiring a U.S. co-borrower.

The Data Science Institute at Vanderbilt offers scholarships ranging from 25% to 100% of tuition to top incoming students each year. Applicants must apply by the January 15th deadline to be considered, though. Active duty military members and veterans should contact the Registrar about VA benefits.

Career Outcomes and Job Prospects

Specific outcomes for the new MS in Artificial Intelligence program are still developing. Vanderbilt’s Data Science Institute reports strong employment metrics: 94% of graduates find employment within 6 months of graduation. The average Data Scientist salary is $112,000, while Data Analysts earn an average of $87,000.

Nashville’s position as one of the nation’s fastest-growing tech and healthcare hubs creates substantial demand for AI professionals. Data science roles in Middle Tennessee are growing faster than the qualified population can fill them. Your portfolio of applied projects and working AI solutions developed during the program position you to demonstrate immediate value to potential employers.

Program Format and Duration

You can complete the 30-credit degree in about 18 months on an accelerated path or extend it to roughly two years at a standard part-time pace. The fully online format allows you to earn the degree while maintaining full-time employment. Eight-week module structure provides flexibility to balance personal, professional, and academic schedules.

The program delivers content through a combination of live sessions and self-paced coursework. This enables you to participate with faculty and work together with other students across different industries and time zones. This structure reflects Vanderbilt CCC’s commitment to making graduate education available to working professionals who cannot relocate or leave their current positions.

2. University of Tennessee Knoxville – MS in Business Analytics and AI

Program Overview

Haslam College of Business reimagined its business analytics master’s program in response to AI’s reshaping of the analytics profession, renaming it the MS in Business Analytics and Artificial Intelligence (MSBAi). This STEM-designated program produces full-stack analytics professionals who manage the entire data-to-decision process, from collecting and interpreting data to developing AI-powered solutions and communicating insights. Alumni and corporate partners provided feedback about how analytics work is performed in industry, where companies now expect professionals to build apps that work and custom-trained AI agents. The curriculum redesign reflects this feedback.

The Department of Business Analytics and Statistics designed the program to blend technical depth with ground business application. You develop skills to use data’s power while learning business fundamentals and communication techniques necessary to make an organizational effect. A point often overlooked: qualification for a 36-month Optional Practical Training extension upon graduation benefits international students.

Key Curriculum Features

The 36-credit curriculum spans three semesters and has hands-on work with Python, SQL, and R. You complete four dedicated AI courses: BZAN 554 (Deep Learning for Business), BZAN 557 (Natural Language Processing and Graph Analytics), BZAN 558 (Deep Reinforcement Learning for Business), and BZAN 559 (Generative AI). The Generative AI course covers transformers, prompt engineering, RAG, fine-tuning, and agentic AI.

You take courses in causal inference and A/B testing centered on evaluating the effect of business policies, decisions, and marketing campaigns beyond technical training. A new data storytelling course improves your abilities to present results in a persuasive manner. Experiential learning classes help you develop apps and agents using both code-based and low-code/no-code approaches.

The capstone project puts you in charge of finding end-to-end solutions for business problems presented by corporate partners. You participate with company representatives throughout the semester, working within ground ambiguity and stakeholder constraints. You synthesize analytics, AI, and communication skills to deliver ready-to-implement options.

Admission Requirements

You must have completed a four-year bachelor’s degree, with applicants below 3.0 GPA not considered in most cases. The average incoming student GPA is 3.64. The program accepts all undergraduate degrees, whereas the most successful students demonstrate strong quantitative aptitude through courses in math, statistics, engineering, computer science, and calculus.

GRE or GMAT tests are required, though waivers will be considered. Haslam provides a custom Canvas Exam as an alternative quantitative assessment for $9.00. The program requires a 30-minute interview and accommodates both in-person and virtual formats.

You submit one academic recommendation from faculty in a quantitative field and one professional recommendation from a current or previous supervisor. International applicants whose native language is not English must score at least 80 on TOEFL IBT or 6.5 on IELTS. The application fee is $60. The lock-step nature of the program means transfer credits are not accepted.

Tuition and Financial Aid

The tuition figures exclude room, board, books, and living expenses. Over 70% of admitted students receive some form of funding chance. The program considers admitted applicants for merit-based, program-funded graduate assistantships and scholarships, though these remain competitive. Applications submitted by December 15 receive priority consideration for merit-based scholarships and assistantships.

Career Outcomes and Job Prospects

Nearly 90% of graduates accept job offers within six months of graduation. The median annual salary exceeds $87,000, with an average signing bonus of $9,950. Graduates pursue roles as data scientists (median salary $108,020), business intelligence analysts (median salary $97,963), data analysts (median salary $84,731), and operations analysts (median salary $83,640).

The Bureau of Labor Statistics forecasts 34% job growth for data-science-related positions from 2024 to 2034. Graduates work in banking, business media, automotive, healthcare, higher education, manufacturing, oil and gas, and nonprofit sectors.

Program Format and Duration

The full-time program spans 10 months across three semesters and begins each July. This format minimizes time out of the workforce while building career-ready skills. Small cohorts help team building and networking, which means direct access to professionals at the annual Business Analytics Forum.

3. Lipscomb University – MS in Applied Artificial Intelligence

Program Overview

Lipscomb University addresses a critical workforce gap by offering the first graduate program in applied artificial intelligence in Nashville. The MS in Applied Artificial Intelligence takes a different approach from traditional AI masters degree programs in Tennessee by welcoming professionals from any career field, whatever undergraduate degree they hold. This accessibility strategy responds to the predicted $15.7 trillion AI will add to the global economy by 2030.

The Raymond B. Jones College of Engineering launched its first cohort in Fall 2024. The inaugural class of eight graduates completed their studies by May 2026. Many received promotions or took on expanded roles within their companies based on their AI expertise. The first four cohorts demonstrate remarkable diversity and include students working in robotics, information technology, marketing, education, higher education, art, social work, business, software design, and engineering.

Key Curriculum Features

The program offers two pathways: a 30-credit hour Master of Science or a 12-credit hour graduate certificate. Students participate in a studio-based educational environment where collaboration drives project development and addresses emerging challenges where AI serves as the optimal solution strategy. The curriculum is about how artificial intelligence works through core principles, strategic solutions, and application domains among ethical implications.

Discipline-specific application sequences allow you to get into AI trends and problem-solving capabilities in industries of all types, including healthcare, business, education, the arts, and engineering. Students work with top-tier tools from industry leaders like OpenAI (GPT), Microsoft (CoPilot and Azure AI), Google (Gemini), and IBM (Watson).

Capstone projects showcase practical applications. To name just one example, the May 2026 graduating cohort created an assistant for physical therapists that analyzes patient movement and poses through video feeds. They also built a bot designed to administer oral chemistry exams using the Socratic method to improve critical thinking and ethical reasoning. Gilberto Diaz assumes the role of program director starting Fall 2026 and brings industry experience in technology and software development.

Admission Requirements

The program removes barriers for career changers and professionals seeking advancement in their current roles. You can enter without a computer science background. The program accepts applications from professionals in healthcare, business, entertainment, and other sectors who want to apply AI within their specific industries.

Tuition and Financial Aid

Graduate tuition rates vary by program at Lipscomb. Each program is unique in its forms, features, and financial demands. Specific tuition information for the MS in Applied Artificial Intelligence is available through the Graduate Admissions webpage.

Career Outcomes and Job Prospects

Outcomes from the May 2026 graduating cohort demonstrate immediate career results. Many of the eight graduates received higher positions or assumed new roles in their companies because of their AI expertise. The program prepares you for AI-centric positions such as AI engineers, data scientists, NLP engineers, and roboticists. It also prepares you for corporate leadership roles including integrators and strategists responsible for implementing these technologies in fields of all types.

The curriculum addresses urgent knowledge and skills gaps created by AI’s disruption of industries. Nashville’s growing tech sector creates additional opportunities for graduates positioned at the intersection of AI capabilities and industry-specific expertise.

Program Format and Duration

You can complete the program in as little as 18 months. Courses run in 8-week sessions and accommodate the diverse schedules of working professionals. The flexible delivery model offers online, in-person, or hybrid formats based on your needs. This structure allows you to maintain full-time employment while earning your degree and balance personal, professional, and academic commitments without relocating.

4. Middle Tennessee State University – MS in Computer Science with AI Concentration

Program Overview

MTSU’s Computer Science department structures its AI concentration within the broader Master of Science in Computer Science, offering study across machine learning, intelligent systems, informed decision-making, natural language processing, and expert systems. This concentration prepares you to succeed in technical environments where AI integration has become standard practice. Software developers now use AI to help with coding, testing, and documentation, while intelligent systems boost data quality.

Alumni secure positions at leading national technology companies such as Google, Microsoft, and Meta, as well as major Nashville employers including HCA, Schneider Electric, Deloitte, and Caterpillar. The program strengthens problem-solving, communication, and teamwork skills alongside technical capabilities. Successful AI implementation requires cooperation across different fields.

Key Curriculum Features

The concentration explores core AI domains through courses that balance theoretical foundations with practical applications. You work with machine learning algorithms, intelligent systems design, and informed decision-making frameworks that are the foundations of modern AI development. Natural language processing and expert systems components address specialized applications in industries from healthcare to finance.

Computer labs with quality equipment provide extended hours with 24/7 remote software access. You can work on projects according to your schedule. Video conference attendance is possible in some classes. This accommodates different learning priorities and geographic constraints. Students access opportunities through the Data Science Institute. These include data projects with nonprofits, compensated projects with companies analyzing business data, data dives (hackathons), and funded or unfunded research with faculty.

Admission Requirements

You need an overall undergraduate GPA of 2.75 on a 4.00 scale to consider for unconditional admission. The department waives GRE requirements for all applicants, though those with a 3.0 or lower undergraduate GPA are encouraged to submit scores for improved acceptance chances. Letters of recommendation are not required.

International students must present acceptable TOEFL scores that demonstrate English communication ability. Conditional admission allows completion of prerequisite courses for students who lack a computer science background: CSCI 1170, 2170, 3080, 3110, 3130, and 3240 or equivalent, plus MATH 1910 (Calculus I) and 2050 (Probability and Statistics). Any undergraduate Computer Science course taken after conditional admission requires a grade of B- (2.67) or higher.

Tuition and Financial Aid

Graduate assistantships provide monthly stipends plus tuition waivers. Out-of-state residents also receive waivers for out-of-state fees. Eligibility requires full admission to the program and a current GPA of 3.0 or higher. Graduate assistants enroll in at least six graduate credit hours per semester while maintaining cumulative GPAs of 3.0 at the master’s level.

The Paul Hutcheson Scholarship awards to outstanding graduate students each year. The NSF S-STEM Scholarship Program provides up to $6,000 per year for the first two years and up to $3,000 for the third year to eligible students. The Computer Science Department offers limited graduate assistantships, mostly with teaching duties. These provide stipends and university-paid tuition for 20 hours weekly of university service.

Career Outcomes and Job Prospects

Computer Science majors from MTSU earn an average of $57,662 annually. The university maintains an overall graduation rate of 54%, with the six-year graduation rate reaching the same figure. The retention rate is 78%. This places MTSU in the top 45% of colleges for student continuation from first to second year.

Career center resources include eight full-time and six part-time employees. They support individual and group career counseling for all undergraduates. Services cover job interviews, career library access, resume preparation, employer referrals, career interest testing, and interview workshops. On-campus job fairs and employer recruitment provide direct access to hiring companies.

Program Format and Duration

The program follows traditional graduate school timelines with six years from admission date to complete master’s degree requirements. Nine semester hours constitute a full-time load in fall and spring semesters, while six semester hours qualify as full-time during summer sessions. Non-thesis students must pass a detailed examination covering three completed 6000-level computer science courses. A limited number of graduate assistantships are available each semester.

5. University of Tennessee Knoxville – MS in Computer Science with Data Mining and Intelligent Systems

Program Overview

The Min. H. Kao Department of Electrical Engineering and Computer Science created its online Master of Science in Computer Science to meet climbing demand for professionals trained in cybersecurity, data mining, and intelligent systems. The program removes geographic barriers for military members, working professionals, and others unable to relocate to Knoxville. It maintains similar rigor, lessons, requirements, and faculty as the on-campus version. You choose from three concentration options: Artificial Intelligence and Machine Learning, Cybersecurity, or Software Engineering.

The online format reflects UTK’s land-grant mission to improve economic and educational opportunities throughout Tennessee. Students without traditional computer science backgrounds can enter through the Spin-Up Pathway, which has one to three foundational courses. These courses build necessary programming and computer science knowledge.

Key Curriculum Features

The curriculum addresses high-demand technical areas through focused coursework in data engineering, artificial intelligence, software security, and cyber-physical systems security. It also covers software engineering and cloud and web computing. Required spin-up pathway courses are COSC 103 (Introduction to Computer Science), COSC 203 (Data Structures), and COSC 230 (Computer Organization) for students needing foundational preparation.

Core computer science courses span a variety of specializations. COSC 530 explores computer architecture issues that include memory hierarchies, multiprocessors, and technology trends. COSC 540 provides advanced coverage of software processes and technologies for large project design, management, maintenance, and testing. COSC 562 addresses operating system structures and processes while focusing on implementation of advanced concepts in file systems and memory management. COSC 580 covers foundations of computer science that include Turing machines, computability, and computational complexity.

The AI and Machine Learning concentration gives you the tools to work with modern computing without prior AI experience. You’ll cover machine learning, large language models, deep neural networks, and large data engineering. The program also addresses reinforcement learning and digital fingerprinting and forensics. Graduates pursue roles such as data scientists, data engineers, high-performance computing scientists, or prompt engineers.

Admission Requirements

You need a bachelor’s degree from an accredited institution with a minimum 3.0 cumulative undergraduate GPA. Applicants with GPAs between 2.7 and 3.0 may receive consideration through an exception process. International students require a 3.3 cumulative GPA. The program does not require GRE scores.

Application materials have copies of official transcripts from all institutions attended, a resume, a personal statement, and a $60 application fee. Three letters of recommendation from individuals who can attest to your CS capabilities are requested for applicants with relevant work experience rather than traditional computer science coursework.

Tuition and Financial Aid

These figures represent the approximate cost for the entire program.

Career Outcomes and Job Prospects

Computer science provides abundant career choices as one of the fastest growing fields in the US. Common positions are computer and information research scientist, computer network architect, software developer, computer systems analyst, and mobile application developer. Your daily work depends on your specific role. You may build algorithms, write code, or secure sensitive information.

Program Format and Duration

You complete the online program in 10 to 24 months, with courses offered year-round. The flexible schedule accommodates busy professionals while providing access to faculty with leadership experience in government, science, and industry. Faculty credentials have White House Office of Science and Technology Policy leadership, National Science Foundation research, and award-winning scientific contributions. MS degrees require three semesters of full-time study or two to three years part-time. The online format takes two years.

6. Tennessee Technological University – MS in Computer Science with AI Specialization

Program Overview

Tennessee Tech’s Computer Science graduate program balances theoretical foundations with applied skills necessary for technology careers. The 30-credit Master of Science offers three distinct pathways: thesis option (24 coursework hours plus 6 thesis hours), project option (24 coursework hours plus 6 project hours), or course option (27 coursework hours plus 3 independent research hours). Each student must pass a detailed exam that covers core coursework and their chosen specialization area.

A new Applied Industry Experience Track launches Fall 2026 as a limited pilot. It integrates rigorous coursework with structured professional development and supervised industry internships. This career-focused pathway connects academic training with real-life impact.

Key Curriculum Features

Students complete core theory coursework and select from CSC 6240 (Mathematics and Theory of Machine Learning), CSC 6400 (Advanced Analysis of Algorithms), or MATH 6700 (Graph Theory). The curriculum requires 9 credit hours in a committee-approved depth specialization, with at least 6 hours from CSC courses.

Students focused on AI can access courses in parallel and distributed computing, information assurance and security. Summer online offerings include Advanced Analysis of Algorithms, Advanced Networking, and Distributed Computing. All are asynchronous and open to international students.

Admission Requirements

You need an undergraduate GPA of at least 3.0 on a 4.0 scale. GRE requirements are waived for applicants whose undergraduate degrees come from U.S.-based institutions. Three letters of recommendation that show strong evidence to succeed in a graduate program are required. International students must demonstrate English competency through standardized tests.

Tuition and Financial Aid

All but one of these graduate students receive paid assistantships.

Career Outcomes and Job Prospects

Tennessee Tech graduates rank 6th in average starting salary among all 39 Tennessee institutions. A worldwide shortage of computer science professionals creates more than 500,000 available cybersecurity jobs in the U.S. alone.

Program Format and Duration

Small program size promotes close student-faculty interaction. You complete 30 credit hours with flexible online course options during summer sessions.

7. University of Memphis – MS in Computer Science with Machine Learning Focus

Program Overview

The Computer Science department at University of Memphis ranks among the most research-active departments on campus. As of Fall 2025, the department supports 59 MS and 46 PhD students. The MS Computer Science program provides advanced knowledge through four core courses in algorithms, operating systems, theory and software engineering. Students tailor remaining coursework based on individual interests. Machine learning represents a prominent focus area through specialized course offerings.

Key Curriculum Features

Machine learning coursework spans introductory through advanced levels. COMP 6745 (Introduction to Machine Learning) and COMP 7745/8745 (Machine Learning) are the foundations of the program. AI-related courses include COMP 6720 (Introduction to Artificial Intelligence) and COMP 6741 (Introduction to Neural Networks), along with COMP 7720/8720 (Artificial Intelligence). Special topics cover Reinforcement Learning and AI in Cybersecurity. Select courses are accessible online, including COMP 7745/8745 (Machine Learning).

Admission Requirements

GRE scores require minimums of 143 Verbal Reasoning, 153 Quantitative Reasoning and 3.0 Analytical Writing. You need a 3.0 undergraduate GPA in an appropriate discipline. International students require English test scores of at least 87 TOEFL, 6.5 IELTS, 59 PTE or 110 Duolingo. Application deadlines fall on December 1 for Spring and July 1 (domestic) or May 1 (international first-time F1 visa holders) for Fall.

Tuition and Financial Aid

Application fees are $35 for U.S. residents and $60 for international students. The department offers merit-based fellowships and assistantships to qualified graduate students. Financial aid reaches 97% of students.

Career Outcomes and Job Prospects

Placement rates range from 75% to 85%. Software engineers earn mean annual wages around $138,110, whereas web developers average $95,570. Data analysts command salaries near $119,040, while IT support specialists earn approximately $63,640.

Program Format and Duration

The program enrolled 89 full-time and 51 part-time master’s students. The acceptance rate is 53.6%. Students work with 23 full-time faculty members.

Next Steps

Selecting the right AI master’s program depends on your background, career goals and learning priorities. Vanderbilt’s MS in AI and Lipscomb’s Applied AI program welcome you without computer science prerequisites if you lack a technical background. UT Knoxville’s MSBAi blends analytics with AI implementation for business professionals. Those seeking traditional CS depth can explore MTSU, Tennessee Tech, or University of Memphis programs with AI concentrations.

Worth noting that all seven programs position you to capture opportunities in a field experiencing 32% job growth. Graduates earn between $87,000 and $138,000 annually. Tennessee universities provide available pathways into this evolving field whether you prefer online flexibility or on-campus collaboration.

Review each program’s curriculum, admission requirements and career outcomes to identify which aligns best with your professional aspirations carefully.