Ohio Machine Learning Masters Programs

The University of Akron Main Campus presents an M.S. in Computer Science with a specialized concentration in Artificial Intelligence and Machine Learning, tailored for graduates seeking to advance their knowledge in cutting-edge computing technologies. This campus-based program stands out for its adaptable curriculum, offering both thesis and non-thesis tracks to suit various career aspirations. Prospective students must hold a bachelor's degree in a relevant discipline, maintain a minimum GPA of 2.75, and demonstrate strong programming and mathematical skills. Focused on AI and ML research, the program equips learners with the expertise needed for high-demand positions in the technology sector. An accelerated option is available for those eager to expedite their academic journey, with no mention of an entrance exam requirement.

• Flexible curriculum options
• Thesis and non-thesis paths
• Concentration in AI and ML
• Accelerated degree option
• Research-focused faculty
• Requires bachelor's degree
• GPA of 2.75 or higher
• Proficiency in programming needed
• Strong mathematical foundation required
• Prepares for tech industry roles

Case Western Reserve University's MS in Data Science stands out for its specialized concentrations in Artificial Intelligence, Machine Learning, and Data Science Applications, offering a robust curriculum designed to equip students with cutting-edge skills. The program's unique structure includes three tracks: Course-Focused for immediate industry entry, Project-Focused for hands-on experience, and Thesis-Focused for research-oriented students. Requiring 30 credit hours, it emphasizes computational foundations, analytics, and practical applications. Admission requires a TOEFL score of 90 for non-native speakers, a minimum GPA of 3.00, and basic computational knowledge. Notably, the program does not mandate a GRE, making it accessible for aspiring data scientists seeking a flexible yet rigorous academic path.

• Three tailored tracks available.
• 30 credit hours required.
• Course-Focused for industry.
• Project-Focused for application.
• Thesis-Focused for research.
• TOEFL score of 90 required.
• Basic computational knowledge needed.
• Comprehensive exam for Course-Focused.
• 24 coursework credits minimum.
• GPA of 3.00 required.

Miami University-Oxford's Master of Science in Computer Science with a Machine Learning concentration is a thesis-based program that equips students with both theoretical foundations and practical expertise in this rapidly advancing field. The curriculum, requiring a minimum of 31 credit hours, emphasizes research and hands-on projects, guided by faculty experts. Applicants need a related bachelor's degree, a 3.0 GPA, and recommendation letters, with GRE scores potentially required. This program stands out for its competitive graduate assistantships and prepares graduates for either Ph.D. studies or high-demand industry roles in machine learning.

• Thesis-based program
• Focus on Machine Learning
• Research with faculty
• Minimum 31 credit hours
• Admission GPA 3.0
• Requires recommendation letters
• Hands-on research experience
• Advanced curriculum
• Prepares for Ph.D. or industry
• Competitive graduate assistantships

The Air Force Institute of Technology-Graduate School of Engineering & Management offers a specialized Data Science program with concentrations in Artificial Intelligence and Machine Learning, designed to tackle defense-related challenges through data-driven solutions. This campus-based program emphasizes optimization, statistical analysis, and programming, alongside database management and data visualization, preparing graduates for impactful roles in process improvement and strategic decision-making. Admission requires a baccalaureate degree in a quantitative field, calculus proficiency, GRE scores, and a minimum 3.0 GPA. The 18-month full-time curriculum, starting in August with part-time options, includes core coursework, mathematics, electives, and a thesis, focusing on applying advanced data science techniques in defense contexts.

• 18-month full-time study
• Starts in August
• Part-time study available
• Baccalaureate degree required
• Calculus proficiency needed
• GRE scores required
• 3.0 GPA minimum
• Core coursework included
• Mathematics component
• Electives available