Kent State University

How this program compares

Budget-wise, $44K puts this master's program at the 65th percentile on cost — about 3% above the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Bachelor’s in computer science, engineering, mathematics, or a related quantitative discipline is typically expected; programming proficiency and prior coursework in data structures/algorithms strengthens applications. Minimum GPA commonly near 3.0; verify GRE policy and TOEFL/IELTS minima with the department for the entry term you target.

About This Program

Kent State’s MSAI is offered within the Department of Computer Science as a STEM-oriented graduate program emphasizing both foundational AI methods and applied problem solving for real-world deployment contexts. Northeast Ohio employers and remote-friendly companies alike recruit CS and analytics graduates from Kent State; verify international enrollment and CPT/OPT guidance through the international office for F-1 students. Coursework concentrates on Artificial Intelligence & Machine Learning and Natural Language Processing (NLP). Most students complete it in about 2 years.

Estimated total tuition is $44K, above the $42.9K average for AI master's programs in our database and in the 65th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 17 AI-related programs we track in Ohio, of which about 41% offer an online option. On price, it comes in higher than about 69% of the Ohio programs in our data, where typical tuition runs near $35.1K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Graduate-level theory and implementation of machine learning and deep learning systems.

Career Outcomes

Kent State University positions this master track for AI Engineer careers — typical offers cluster around $120,000. Its focus on Artificial Intelligence & Machine Learning and Natural Language Processing (NLP) maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Software Engineer
• 3. Applied AI Researcher
• 4. Data Scientist (ML focus)

What You'll Learn

• Graduate-level theory and implementation of machine learning and deep learning systems.
• Applied AI topics including NLP, computer vision, and intelligent agents.
• Responsible AI framing and deployment considerations for production systems.
• Synthesis via project or thesis work aligned to departmental options.

Curriculum Highlights

Per Kent State’s MSAI program materials, students complete graduate coursework spanning AI foundations, machine learning, and application areas such as computer vision, NLP, and intelligent systems, with themes in intelligent analytics, smart automation, and robotics-oriented electives. Verify electives, thesis/project options, and total credit requirements in the active catalog and department handbook.

Top Employers

Regional technology employers, Fortune 500 corporate IT/analytics groups, defense-adjacent contractors (where cleared), and national technology firms recruiting remote-capable ML engineers—verify hiring with career services.

Admissions

Admission to Kent State University's MS in Artificial Intelligence generally expects a completed bachelor's degree. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: Typically 2–3
• Resume/CV: Required
• Transcripts: Official transcripts required
• Proof of English proficiency: Required for many international applicants

Frequently Asked Questions