5 AI Masters Degree Programs in Georgia You Need to Know About

If you’re learning about AI Masters degree programs in Georgia, you’re looking at one of the most competitive AI education hubs in the Southeast. Georgia has been a pioneer in AI education. The University of Georgia has offered its MSAI program since 1987, making it one of the nation’s oldest graduate degrees in AI offered without interruption. The state now offers some of the best artificial intelligence masters programs, each with a 30-credit hour structure designed to prepare you for advanced AI careers. This list covers five Georgia AI Masters programs worth thinking about for 2027.

1. University of Georgia – Master of Science in Artificial Intelligence

Program Overview and Key Features

The Institute for Artificial Intelligence at UGA runs an interdisciplinary master’s program that blends computer science, linguistics, philosophy and psychology into a single degree structure. This interdisciplinary approach sets it apart from purely technical AI programs. You’ll take foundational courses across these disciplines while working on specialized AI programming languages and techniques.

The program operates through the Franklin College of Arts and Sciences. It focuses on several core research areas: logic programming, expert systems, neural networks, genetic algorithms, natural language processing and computational psycholinguistics. Faculty members come from 12 of UGA’s 17 colleges and create a broad AI community across campus.

One distinct advantage is the Double Dawgs pathway. Undergraduate students can count up to 12 graduate credit hours toward both their bachelor’s and master’s degrees. This accelerated track applies to students pursuing computer science at the undergraduate level who want to transition directly into the MSAI program. You need at least 60 hours completed with 40 hours at UGA and a 3.5 GPA to gain Double Dawgs admission.

The program emphasizes responsible AI development. The institute has integrated ethics courses like “Ethics of AI,” “AI and Society,” and “AI for Humans” into the curriculum to teach you how to use AI responsibly. This focus on ethical considerations alongside technical skills reflects what companies are seeking as they develop their AI strategies.

Curriculum Structure and Required Courses

You must complete a minimum of 30 hours of graduate coursework, pass an oral exam and write a research thesis. First-year graduate students enroll in a 1-credit-hour GradFirst seminar beyond these 30 hours.

The Program of Study has specific required courses unless your advisory committee waives them:

Courses open only to graduate students must make up at least 12 hours, excluding thesis and research credits. You can use up to 2 hours of ARTI 7000 (Master’s Research) to reach the 30-hour requirement. Select elective courses provide the remaining hours.

Every student must pass a capstone oral examination administered by an advisory committee beyond coursework. These exams cover topics from your program of study and last less than 90 minutes. You’ll conduct original research under faculty supervision after passing the exam and defend your thesis before graduating.

Students must maintain a 3.0 GPA on both the graduate transcript and program of study to remain in good academic standing. No grade below C will count toward your degree.

Admission Requirements and Prerequisites

The selection process is competitive, though no specific undergraduate major is required. The institute looks for students with strong preparation in at least one relevant background area: psychology, philosophy, linguistics, computer science, logic or engineering. You also need to show the ability to handle diverse academic work from humanities to mathematics, plus excellent command of written and spoken English.

Your application must have:

• GRE scores: Standardized test scores are required
• Three letters of recommendation: Submit these online, preferably from university faculty or professional supervisors
• Scholarly writing sample: Any piece you’ve written that demonstrates your writing abilities, such as a term paper, research report or published article
• Statement of Purpose: Explains your background, interests and goals
• Resume or Curriculum Vitae
• Application fee: Paid at the time you submit your application

Indicate whether you want consideration to receive financial assistance, including graduate assistantships, at the time you apply. Most students take a few undergraduate courses to satisfy prerequisites for required graduate courses. To name just one example, you might need symbolic programming or symbolic logic courses before starting certain graduate-level requirements.

The institute accepts students from diverse academic backgrounds that include business, education, linguistics, philosophy and psychology. A liberal undergraduate education with some computing experience is desirable but not mandatory.

Career Paths and Opportunities

The MSAI prepares you to work as AI developers or to pursue PhD study in artificial intelligence or related fields. Graduates enter various industry roles that include machine learning engineer, data scientist and applied researcher. You can also find employment at companies, research centers or labs focused on machine learning, data mining, data analytics, big data, incremental and deep learning, and other AI specialties.

Government positions represent another career path, along with opportunities to pursue doctoral degrees in artificial intelligence, machine learning, computer science and data science. The program provides both theoretical knowledge and hands-on work with frameworks like PyTorch and TensorFlow.

Faculty research areas and lab opportunities vary by advisor. Career outcomes depend in part on your chosen research focus, internships, networking efforts and geographic flexibility. Access to university computing resources and cross-department collaborations with CS, ECE, statistics and business departments can support domain-specific AI role preparation.

The program’s strength lies in practical skills and project experience rather than purely theoretical research. Smaller class sizes compared to larger programs allow for more individualized mentoring and faculty access. UGA’s recruiting strength is regional, so national and international placement requires proactive networking and internship participation.

Tuition Costs and Program Duration

The MSAI is designed as a two-year degree program. Students complete coursework by the end of their third regular semester and defend their thesis by the end of their fourth regular semester. Double Dawgs students follow an accelerated schedule.

First-year tuition is $24,630 for international students. Total program tuition would be around $25,380 when completed at the recommended pace, based on 2025-26 credit-hour costs. These figures represent tuition only and don’t include additional expenses like accommodation, meals, books, supplies and utilities.

Students enrolled in exclusively online programs pay fees of $422 per semester. Additional costs may include textbooks, exam proctoring fees and technology upgrades. Various financial aid options exist: veterans, active service members, USG employees and other professionals may qualify to receive tuition assistance.

The program timeline allows you to balance coursework, research and thesis writing. Two years to complete all prerequisites, required courses and thesis work is standard. This duration gives you adequate time to develop expertise in your chosen research area while building a professional network through the Institute’s research community.

2. Georgia State University – MS in AI & Business Transformation

Program Overview and Key Features

Georgia State University’s J. Mack Robinson College of Business launched the Master of Science in Artificial Intelligence and Business Transformation beginning in fall 2026. This program stands out among Georgia AI Masters programs through its focus on preparing professionals to lead AI-enabled transformation across business functions by combining applied artificial intelligence capability with domain expertise.

The curriculum reflects how organizations apply AI in practice through a flexible, modular structure. Senior leaders from industries of all types were consulted while building this curriculum. You graduate with a degree built around what employers desperately need. Vijay Raghavan, Executive Vice President and Chief Technology Officer at LexisNexis Risk Solutions, says organizations urgently need leaders who understand both the technical foundations of AI and the business context required to apply these tools effectively and responsibly.

Students complete a career readiness program designed to help you apply and communicate your interdisciplinary skill set in professional environments. The program emphasizes preparing graduates from all backgrounds to lead the AI transformation already underway at organizations in every industry. You don’t need a technology background to join this program, as it welcomes students from diverse fields.

The Jeff and Sherry Hwang Foundation provides $5,000 scholarships through the Hwang AI Scholar Initiative to qualified students, with 8-10 select students receiving funding. Jeff and Sherry Hwang noted that Georgia State played a transformative role in their lives and careers after moving to the United States from Taiwan, giving them the technical foundation and chance to build successful careers in technology and business.

Curriculum Structure and Required Courses

You’ll complete 30 credit hours across three semesters. The program uses a stackable curriculum where you earn two certificates: one based on your business discipline and another covering the AI tools you need to succeed in your field. You take a capstone course and an elective of your choice in addition to these certificates.

The curriculum concludes in an integrated capstone experience where you apply AI capabilities and business expertise to real-life organizational challenges. You’ll have hands-on experience applying AI technologies to real business challenges through projects with Robinson strategic partners by graduation.

You can consult with your academic advisor if you need help deciding which AI certificate fits your goals. The AI for Digital Innovation certificate emphasizes applying artificial intelligence to redesign business processes, improve decision-making, and push innovation forward in organizations. This certificate builds skills in digital innovation and generates and applies AI-driven insights to support innovation and change. It also deploys AI-enabled solutions that transform how organizations operate and compete.

Admission Requirements and Prerequisites

Your application must include an online application with a $50 application fee. You’ll complete a video interview as part of the online application process. You also need to submit college transcripts, a personal statement, and a resume. Work experience is preferred but not required.

The program welcomes students from all backgrounds, not just technology-based fields. The program helps graduates control AI to solve problems, create value, and imagine new possibilities in every business discipline, building on Robinson’s long-standing strengths in information systems and data science.

Career Paths and Opportunities

The program prepares you to bridge the gap between business strategy and AI technology, addressing a strong job market need. Job postings in the AI space at Metro Atlanta companies have increased by 250 percent since 2021. Atlanta has solidified its status as the ‘Silicon Valley of the South,’ attracting major investments in AI startups and corporate innovation centers.

Ki’Ameer S. Johnson, Head of Operations at StreamLabs Inc., explains that organizations don’t need more technologists but rather leaders who can translate between data scientists, engineers, and business stakeholders while arranging AI solutions with real operational, financial, and governance constraints. Graduates of this program will be well positioned to help organizations move beyond experimentation and into sustainable, value-driven AI adoption.

You’ll learn to identify chances for AI and utilize analytics to generate insights. You’ll implement AI-enabled solutions that improve performance while addressing ethical and organizational considerations. The program develops your knowledge of how to push innovation forward, operational improvement, and organizational transformation.

Faculty come from Robinson’s M.S. in Information Systems program, which is ranked among the top 10 in the nation consistently. The academic department ranks #2 in the world for research productivity. You learn from experts in IT and AI recognized around the world.

Tuition Costs and Program Duration

The three-semester, 30-credit-hour program is designed for completion within a manageable timeframe. Coursework is available online or in person, giving you flexibility in how you complete the degree. The program total is 30 credit hours.

You can complete the AI for Digital Innovation certificate component in as little as nine months (two semesters). This accelerated pace allows you to gain specialized skills quickly while maintaining the quality and depth of your education.

3. Georgia College & State University – MS in AI Strategy

Program Overview and Key Features

Georgia College & State University received Board of Regents approval for its Master of Science in AI Strategy in early 2026, making it one of the newest additions to Georgia AI Masters programs. The 30-credit-hour degree launched with applications opening for fall 2026 enrollment. President Cathy Cox clarified the program’s positioning: “This is not a software engineering program. Instead, this degree will give students an all-encompassing understanding of how AI can help make operations more efficient and boost ROI in industries of all sizes”.

What distinguishes this program from other best artificial intelligence masters programs is its accessibility. You don’t need a computer science degree to enroll. The curriculum teaches Python, machine learning frameworks and AI fundamentals from the ground up. This design choice opens the program to professionals from any background who want to lead AI implementation in their organizations.

The program offers three specialization tracks: Technical Specialization, Business Leadership Specialization and Global AI Perspective Specialization. You choose the track that lines up with your career objectives. The program combines technical AI implementation with strategic business thinking and ethical reasoning.

Georgia College established partnerships with leading enterprise software platforms like Celonis, SAP, IBM WatsonX and UiPath. Dr. Jeannie Pridmore, chair of Information Systems & Computer Science, explained these partnerships give you hands-on experience with the same AI platforms used throughout industries. You gain access to SAP Academic Lab, Celonis Center of Excellence and IBM WatsonX Academic Partner resources.

The program emphasizes what it calls “The 4C’s Advantage”: critical thinking, complex problem solving, communication and collaboration skills related to AI. These liberal arts principles blend with enterprise operations understanding. Dr. Ward Risvold, assistant professor of business communications and director of The AI Lab at GCSU, noted graduates won’t just know how to build AI systems but will understand what those systems mean, who they affect and how to make them serve human ends.

The master’s degree is offered online with flexibility in mind and designed for working professionals. Optional in-person experiences and study abroad opportunities are available.

Curriculum Structure and Required Courses

You complete 30 semester hours through the online delivery mode. You can finish the degree in one year on a full-time enrollment plan. The program blends liberal arts principles of critical thinking, ethical reasoning, complex problem solving and effective communication with understanding of enterprise operations.

The curriculum structure teaches foundational machine learning frameworks from scratch. Even if you’ve never coded before, the program has instruction in Python and ML frameworks to bring you up to speed.

Your coursework concludes in the AI Solution Development capstone. This capstone challenges you to develop complete AI solutions for organizational needs through partnerships with industry professionals. The hands-on capstone experience reflects how the program combines theory with practical application.

Admission Requirements and Prerequisites

You need a bachelor’s degree from a regionally accredited institution. The program seeks applicants with a strong academic record and requires a 3.0 undergraduate GPA or higher.

Your application package must have official transcripts from all colleges and universities you attended. You also submit a statement of purpose explaining your interest in AI and career goals. The program advises you to focus on why AI interests you and how you plan to use the degree in your statement.

Two letters of recommendation are required, either academic or professional. Recommenders should speak to your potential for graduate study and AI growth.

International applicants must document English language proficiency through TOEFL (minimum score of 79 on the Internet-based test, or 4.5 for tests taken on or after January 21, 2026), IELTS (minimum score of 6.5), or PTE Academic (minimum score of 58).

Career Paths and Opportunities

Graduates enter high-demand roles combining technical AI implementation with strategic business leadership. The U.S. Bureau of Labor Statistics projects more than 300,000 AI-related jobs to be created through 2034.

Specific career outcomes are:

Beyond these specific roles, graduates are positioned for cross-industry careers combining AI knowledge with strategic thinking and leadership. Target industries are healthcare, finance, retail and consulting.

The program’s Department of Information Systems & Computer Science is accredited by the Association to Advance Collegiate Schools of Business. The department also holds accreditation from the Southern Association of Colleges and Schools Commission on Colleges.

Tuition Costs and Program Duration

The program charges $405 per credit hour. With 30 required semester hours, your total cost of attendance reaches $12,150. This figure represents tuition costs, though rates are subject to change and additional fees may apply for certain services.

The one-year completion timeline on full-time enrollment makes this among the more accelerated Georgia AI Masters programs. You can balance the intensive pace with the online format, allowing you to maintain professional commitments while earning your degree.

4. Kennesaw State University – Master of Science in Artificial Intelligence

Program Overview and Key Features

Kennesaw State University is Georgia’s second institution to offer a master’s degree in AI. The Board of Regents approved the Master of Science in Artificial Intelligence in early 2024, and the program launched in Fall 2024. The College of Computing and Software Engineering houses this 30-credit hour interdisciplinary program that builds upon KSU’s existing Artificial Intelligence Concentration.

The program tailors its curriculum if you’re seeking advanced knowledge in the evolving domain of artificial intelligence. You’ll find skill-building opportunities in AI research and advanced project development. Industrial internships emphasize experiential learning and problem solving. The interdisciplinary structure incorporates existing curriculum and research strength in computer science, data science, information technology, and software engineering.

Flexibility defines the program structure. You can enroll part-time or full-time and complete your degree in as little as one to two years. Classes are available both on campus and online. A big deal here is that you don’t need a computing background to apply. Students from all undergraduate majors can enter the program, though you may need to take up to two foundational courses to prepare for graduate-level coursework.

The program simplifies admission by not requiring GMAT scores. This approach removes a common barrier if you’re a working professional who wants to transition into AI careers while staying employed.

Curriculum Structure and Required Courses

You complete 30 total credit hours across required courses and electives. The program offers two distinct tracks: Thesis Track and Capstone Track.

Your elective options span multiple AI specializations. Courses include CS 7367 Machine Vision, CS 7347 Natural Language Processing, CS 7075 Artificial Intelligence and Robotics, CS 7050 Data Warehousing and Mining, CS 7265 Big Data Analytics, and CS 7545 AI for Security and Privacy. You can also take up to 6 credit hours of 6000 or 7000 level courses with any prefix when pre-approved by the program director, provided the course aligns with program outcomes.

The capstone option requires you to imagine, design, and execute an AI-driven project that addresses a real-life challenge. The thesis route requires you to design, conduct, and present an original study in AI research.

Admission Requirements and Prerequisites

Your application to KSU’s MSAI requires a resume or vita. Students with undergraduate degrees in non-computing disciplines must show evidence of programming competency and satisfactory coursework.

Applicants lacking foundation knowledge may need to complete two 5000-level foundation courses: CS 5000 Foundations of Programming and CS 5040 Data Structures and Algorithms. These courses prepare you for success in graduate-level AI coursework.

The Double Owl Pathway offers an accelerated option for current KSU computer science undergraduates. You need a 3.25 GPA in KSU undergraduate coursework, 60 hours completed toward your bachelor’s degree, 30 hours completed in residence at KSU, and recommendation letters from two KSU faculty to qualify.

Career Paths and Opportunities

The program prepares you for roles such as AI application developer, ethics researcher, product manager, research scientist, solutions architect, or algorithm developer. MSAI graduates enter an AI field expected to contribute up to $15.70 trillion to the global economy by 2030.

The Bureau of Labor Statistics projects 21 percent employment growth for computer and information research scientists between 2021 and 2031. This is a big deal as it means that this growth rate is nowhere near the 5 percent average for all occupations.

You can explore AI applications across multiple sectors including defense and homeland security, ecommerce, engineering, finance, and healthcare through course projects and industrial internships.

Tuition Costs and Program Duration

Full-time students complete the program in 1.5 years typically, though you can finish in one year across three semesters. This accelerated timeline makes KSU’s program among the fastest completion options for Georgia AI Masters programs.

The flexible scheduling accommodates working professionals who need to balance employment with degree completion. Part-time enrollment extends your timeline but allows you to maintain career momentum while gaining advanced AI credentials.

5. Georgia Institute of Technology – Master of Science in AI

Program Overview and Key Features

Georgia Tech delivers AI education through its Master of Science in Computer Science program with an Artificial Intelligence specialization. Students can choose between on-campus and the acclaimed Online Master of Science in Computer Science (OMSCS). The College of Computing emphasizes hands-on application across machine learning, robotics, computer vision and natural language processing. Faculty lead two NSF-funded National AI centers and the Institute for Robotics and Intelligent Machines. The online format provides the same credential as the residential program and offers flexibility for working professionals.

Curriculum Structure and Required Courses

The AI specialization requires 15 credit hours that comprise 9 core hours and 6 elective hours. Core coursework divides into two categories: you select one algorithms course (Introduction to Graduate Algorithms or Software Development Process) and two AI-focused courses from Computer Vision, Artificial Intelligence, Knowledge-Based AI, Machine Learning, Deep Learning or Natural Language. Electives span AI Methods (Game AI, Advanced Computer Vision) and Cognition/Human-Centered AI (Health Informatics, Educational Technology, AI Ethics and Society, Human-Computer Interaction). You complete 30 total credit hours for the degree and maintain a 3.0 GPA with B or better grades in specialization courses.

Admission Requirements and Prerequisites

OMSCS requires an undergraduate degree in computer science or related field (mathematics, computer engineering, electrical engineering) with a 3.0 GPA or higher. Applicants who don’t meet these criteria receive case-by-case evaluation. International students need TOEFL scores of 100 (or 5.0 on the new 1-6 scale effective January 2026) or IELTS 7.5 with specific section minimums. GRE scores are optional but recommended for applicants without relevant degrees or those out of school over 10 years.

Career Paths and Opportunities

Graduates secure roles as AI Engineers, Machine Learning Scientists and Data Scientists at companies like Google and NVIDIA. Starting salaries range from $70,000 to $130,000+. The program’s industry connections provide internship access and immediate career placement opportunities, especially in Atlanta’s tech sector.

Tuition Costs and Program Duration

Annual tuition reaches $12,008 for in-state students and $35,092 for out-of-state students. Most students complete the program in 18 to 24 months. OMSCS offers much lower costs while delivering similar credentials and makes graduate AI education available to working professionals.

Next Steps

Georgia has five distinct AI masters programs. Each one serves different career goals and backgrounds. You might prefer UGA’s interdisciplinary approach, Georgia State’s business transformation focus, or Georgia College’s strategic emphasis. Kennesaw State provides flexible options and Georgia Tech has a prestigious computer science specialization. You’ll find a program that fits your needs.

The best part? You don’t just need a computer science degree to start. Most programs welcome students from all backgrounds and provide foundational courses at the time they’re necessary.

Your next step is simple: identify which program arranges with your career objectives and review the admission requirements. Then submit your application to enroll in 2026. AI professionals are in high need and these programs position you to capitalize on that chance.