Kent State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

STEM-focused MSAI at Kent State’s Department of Computer Science—core AI theory and applied tracks in intelligent analytics, automation/robotics, and NLP aligned with high-demand industry skills.

• 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

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.

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

Academic Requirements

• Bachelor’s degree in a related field
• Quantitative and programming preparation consistent with graduate CS/AI coursework
• English proficiency: verify current minimums with Kent State graduate admissions