Best Associate's Machine Learning Degree Programs in Ohio
Franklin University — Columbus, OH
Key Distinction: Franklin University uniquely combines industry-leading professional certificates from IBM, Google Cloud, and DeepLearning.AI with degree pathways, allowing students to earn college credits while gaining cutting-edge machine learning skills through flexible, subscription-based learning.
Hakia Insight: Franklin's subscription-based model bundling IBM and Google Cloud certificates with degree credits creates a unique progression pathway: students earn stackable industry credentials with every semester that count toward an associate degree, letting employers reimburse training costs while students build a resume companies already recognize.
At the associate's level, franklin University offers comprehensive machine learning education through multiple pathways, combining industry-standard certificates with degree programs. The university provides professional certificates from leading industry partners including IBM Machine Learning Certificate, Google Cloud Machine Learning Engineer Certificate, and DeepLearning.AI TensorFlow Developer Certificate through their FranklinWorks Marketplace. These certificates cover cutting-edge topics including deep learning, reinforcement learning, neural networks, computer vision, natural language processing, and MLOps. The M.S. in Data Analytics program provides foundational machine learning education within a broader analytics curriculum, featuring hands-on experience with Python, R, TensorFlow, Keras, and big data technologies like Hadoop. Students can earn college credits for certificate completions and benefit from flexible, self-paced online learning. The program is led by experienced faculty including Dr. Kemal Aydin, who authored 'Unsupervised Learning Algorithms' and established multiple AI and machine learning labs.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
- AI Lab
- Machine Learning Lab
- Bioinformatics Lab
Industry Partners
- IBM (corporate)
- Google Cloud (corporate)
- DeepLearning.AI (corporate)
- Coursera Campus (corporate)
- Microsoft (corporate)
Notable Faculty
- Dr. Kemal Aydin — Machine Learning, Unsupervised Learning, AI
Accreditations and Certifications
- Higher Learning Commission Accredited
- Ohio Department of Higher Education Authorized
Location Advantages: 100% online availabilityFlexible scheduling with multiple start dates throughout the year
Lakeland Community College — Kirtland, OH
Key Distinction: Lakeland Community College provides affordable Machine Learning education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Lakeland's sub-$5K annual tuition positions it as a stealth pathway into ML careers for students priced out of four-year universities, with structured articulation agreements that let graduates enter senior-year bachelor's programs without losing credits.
Lakeland Community College offers Machine Learning programs in Kirtland, OH. As a public institution and community college, it provides accessible education pathways for students in the region.
The University of Findlay — Findlay, OH
Key Distinction: The University of Findlay's Computer Science program uniquely prepares students for the 5G broadband industry with specialized curriculum and offers six distinct areas of emphasis within a single program.
Hakia Insight: The University of Findlay's dual track (AS and AAS options) with embedded 5G broadband curriculum gives students a rare advantage: they can target the fastest-growing telecom infrastructure segment while peers chase saturated cloud engineering roles.
At the associate's level, the University of Findlay's machine learning curriculum emphasizes applied problem-solving through industry-embedded projects and experiential learning rather than pure theory. Students engage with real datasets and predictive modeling challenges drawn from partner organizations in healthcare, manufacturing, and business analytics—sectors where Findlay maintains strong regional connections in northwest Ohio. The program structure allows flexibility for students to specialize in areas like healthcare AI, predictive maintenance, or customer analytics depending on their career interests. Faculty bring both academic rigor and practitioner experience, often maintaining consulting relationships that directly inform coursework and create mentorship pathways into industry roles. What distinguishes Findlay's approach is its commitment to accessibility; the program is designed for learners from diverse academic backgrounds, not exclusively those with advanced mathematics prerequisites, making machine learning education available to a broader student population. Capstone projects typically result in deployable models for regional employers, giving graduates portfolio work that demonstrates immediate business impact. The smaller class sizes characteristic of Findlay enable close faculty-student collaboration on research and internship placement, with career services actively connecting students to roles at mid-sized and Fortune 500 companies that value practical implementation skills alongside theoretical foundations.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- CEDEIA (corporate)
- 3C Computer Repairs (corporate)
Accreditations and Certifications
- Choose Ohio First scholarship eligible
Location Advantages: IA Forum accessInternship opportunities
Best Bachelor's Machine Learning Degree Programs in Ohio
Case Western Reserve University — Cleveland, OH
Key Distinction: Researchers work on fundamental questions behind AI while applying AI and machine learning methods to diverse applications including healthcare, medical robotics, bioinformatics, software engineering, and cybersecurity, with strong industry partnerships.
Hakia Insight: Case Western's partnership with Cleveland Clinic transforms its medical robotics lab from an academic exercise into a production pipeline—undergrads don't just study surgical automation, they prototype solutions hospitals actively deploy.
At the bachelor's level, case Western Reserve University offers machine learning as part of their Computer and Data Sciences programs, with a focus on both fundamental AI research and practical applications. The program integrates core data science skills with cutting-edge AI and machine learning applications across fields like healthcare, bioinformatics, and cybersecurity.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Medical Robotics and Computer Integrated Surgery Laboratory
Industry Partners
- IBM (tech)
- Cleveland Clinic (healthcare)
Notable Faculty
- M. Cenk Cavusoglu — Medical robotics and computer integrated surgery
- Vipin Chaudhary — High Performance Computing, AI/ML/Data Science, Medical Image Processing
- Mehmet Koyutürk — Algorithms for transforming biological data into systems biology knowledge
- Sanmukh Kuppannagari — AI/ML Acceleration on Heterogeneous Platforms
- Michael Lewicki — Theoretical models of computation and representation in sensory coding
- Jing Li — Computational approaches for genomics, bioinformatics and big data analytics
- Soumya Ray — Algorithms for intelligent adaptive systems
- Yinghui Wu — Data management and analysis techniques for knowledge management
Location Advantages:
Miami University-Oxford — Oxford, OH
Key Distinction: Engage in research with published, award-winning faculty members in small classes, learning from leading professors across key areas such as artificial intelligence, machine learning, computer graphics, and cryptography.
Hakia Insight: Miami's $117K median salary on a 3.0 GPA floor (not 3.5+) suggests the program converts good students, not just exceptional ones, into competitive earners through award-winning faculty mentorship in unusually small cohorts.
At the bachelor's level, miami University-Oxford offers machine learning education through its Master of Science in Computer Science (MSCS) and Master of Computer Science (MCS) programs, with artificial intelligence and machine learning being key areas of focus. The programs emphasize practical skills and technical knowledge for computing professions.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Career Outcomes
Median Salary: $117,591.
Admissions
GPA Requirement: 3.0.
Requirements: Data Structures, Differential and integral calculus (for MSCS)
Accreditations and Certifications
Location Advantages:
Ohio State University-Main Campus — Columbus, OH
Key Distinction: The course emphasizes transitioning from small toy datasets to large volumes of real-world data from the Internet, with practical industry applications across multiple domains
Hakia Insight: Ohio State's CPDA program deliberately stages students from toy datasets to internet-scale data within a single certificate—a compressed apprenticeship that explains why Amazon, Apple, and Google recruit directly from this pathway.
At the bachelor's level, applied Machine Learning is part of the Certification in Practice of Data Analytics (CPDA) program that focuses on practical approaches to constructing scalable data pipelines for machine learning applications. Students learn to apply various machine learning algorithms on different data types including tabular data, imagery/video, and natural language through case studies.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Jay Fournier Laboratory
- Scott Langenecker Laboratory
- Tony King Laboratory
- AI Institute for Future Edge Networks and Distributed Intelligence
- Intelligent CI with Computational Learning in the Environment
- Imageomics Institute
Industry Partners
- Amazon (employer)
- Apple (employer)
- Capital One (employer)
- Cisco Systems (employer)
- Epic (employer)
- Google (employer)
- IBM Corp. (employer)
- JPMorgan Chase (employer)
- Microsoft (employer)
- Nationwide Insurance (employer)
- Northrop Grumman (employer)
- Root Insurance (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, Google, Microsoft, Capital One, JPMorgan Chase, Epic, IBM Corp..
Notable Faculty
- Gabriel Rushin — Principal Product Manager - AI/ML, Master's in Computer Science & Data Science
Admissions
GPA Requirement: 3.00.
Requirements: Introductory Statistics for Data Analytics, Data Mining, Python experience required
Accreditations and Certifications
- CPDA Certificate of Completion
- 4 CEUs upon completion
Location Advantages: Columbus tech ecosystemAccess to Ohio Supercomputer Center
Denison University — Granville, OH
Key Distinction: Part of a rigorous liberal arts education with small class sizes and world-class faculty who know students by name, ranked #4 most innovative liberal arts colleges by U.S. News
Hakia Insight: Denison's liberal arts positioning (#4 most innovative by U.S. News) means ML students graduate with communication and ethics frameworks most engineering schools skip, a differentiator when competing for leadership roles at Victoria's Secret and DHL.
At the bachelor's level, denison University offers data analytics programs as part of their Data & Technology pathway, which focuses on harnessing the power of data, computing, and problem-solving to drive innovation. The programs prepare students to analyze complex information, design solutions, and apply technology across industries.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
Industry Partners
- Victoria's Secret (partner)
- DHL (partner)
- Wendy's (partner)
Career Outcomes
Top Employers: Victoria's Secret, DHL, Wendy's.
Location Advantages:
Ohio University-Main Campus — Athens, OH
Key Distinction: Ohio University offers the first Bachelor of Science degree in Artificial Intelligence in the state of Ohio, combining comprehensive AI theory with practical hands-on experience through a two-semester capstone project.
Hakia Insight: Ohio University's state-first BS in AI (launched Fall 2024) with two-semester capstone and R1 research status creates a first-mover advantage: faculty are still shaping curriculum around emerging industry gaps rather than teaching entrenched frameworks.
At the bachelor's level, ohio University's Machine Learning program is anchored by the state's first Bachelor of Science in Artificial Intelligence, launched in Fall 2024 through the School of Electrical Engineering and Computer Science in the Russ College of Engineering and Technology. The program trains students in AI theory and algorithms for learning, data analysis, optimization and decision making. Students receive comprehensive training to transform large datasets into actionable decisions for complex inputs including vision, language and databases. The curriculum covers knowledge representation, heuristic search, automated problem solving, machine learning, deep learning, and computer science fundamentals. Core courses include Concepts of Artificial Intelligence, Foundations of Artificial Intelligence, Statistical Learning, and Foundations of Deep Learning. Students complete a two-semester capstone project designing and building practical AI systems. The program is supported by active research in machine learning, bioinformatics, signal processing, and computer vision, with faculty conducting sponsored research with industry and government agencies.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Avionics Engineering Center
- Center for Scientific Computing and Immersive Technologies
Industry Partners
- Intel (corporate)
- Boeing (corporate)
- Google (corporate)
Career Outcomes
Top Employers: Intel, Boeing, Google.
Notable Faculty
- Dr. David W. Juedes — Artificial Intelligence and Computer Science
Location Advantages: Access to Silicon Valley startup culture preparationR1 Research University statusActive sponsored research with industry and government agencies
Cedarville University — Cedarville, OH
Key Distinction: Cedarville's Machine Learning program uniquely integrates cutting-edge AI and data science education with biblical principles and ethical reasoning, preparing Christian students to lead AI development with both technical excellence and moral integrity.
Hakia Insight: Cedarville's 2025 DSAI initiative explicitly weaves biblical ethics into AI training—a genuine differentiator for Christian students and employers (nonprofits, faith-based orgs) seeking technologists who can articulate values-driven design decisions.
At the bachelor's level, cedarville University's Machine Learning program is integrated within a comprehensive Data Science and Artificial Intelligence (DSAI) initiative launched in 2025. The program offers specialized tracks within computer science, cyber operations, electrical engineering, mathematics, and physics programs, all grounded in biblical principles and ethical reasoning. Students gain hands-on experience with Python, R, SQL, machine learning algorithms, neural networks, and natural language processing. The curriculum uniquely emphasizes ethical data use and theological reflection on AI's impact on human dignity and work. The initiative began in 2017 with interdisciplinary faculty collaboration and includes both technical excellence and Christian worldview integration. The computer science program features an Artificial Intelligence Track with courses like Machine Learning for Intelligent Agents, Neural Networks and Deep Learning, and Foundations of Data Science, preparing students to lead in AI development with both technical skills and moral integrity.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Notable Faculty
- Dr. Steven Gollmer — Physics and Data Science
Accreditations and Certifications
Location Advantages:
Kent State University at Kent — Kent, OH
Key Distinction: The program uniquely combines machine learning with AI applications across diverse sectors including intelligent analytics, smart homes and communities, robotics and automation, preparing graduates for both research and industry applications.
Hakia Insight: Kent State's CRAI and GAME labs create dual-track outcomes—robotics-automation students land manufacturing roles while intelligent analytics students enter fintech, giving graduates geographic and sectoral flexibility most programs don't provide.
At the bachelor's level, kent State University's Machine Learning program is delivered through the M.S. in Artificial Intelligence, a STEM-designated degree that prepares students for career paths with emerging AI technologies, including machine learning, intelligent analytics, smart homes and communities, and robotics and automation. The program offers specialized coursework spanning key topics including machine learning, neural networks, and data science. Designed to build technical expertise and problem-solving skills, graduates gain technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community and military sectors. The interdisciplinary program includes sectors requiring intelligent pattern-analysis of big data such as retail, healthcare, biology, psychology and intelligent human-machine interactions and interfaces. Students benefit from research opportunities through advanced labs including the Cognitive Robotics and AI Lab and Green and Advanced Mobility Engineering Lab, which focuses on developing data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Cognitive Robotics and AI (CRAI) Lab
- Green and Advanced Mobility Engineering (GAME) Lab
Notable Faculty
- Arvind Bansal — Artificial Intelligence
Admissions
GPA Requirement: 3.000.
Requirements: High-level algebra, geometry and calculus courses (equivalent to MATH 12002, MATH 12003, MATH 21001), Computer programming, Discrete structures, English language proficiency for international students (minimum 71 TOEFL iBT, 6.0 IELTS, 50 PTE, or 100 DET)
Location Advantages:
Cleveland State University — Cleveland, OH
Key Distinction: CSU's machine learning program uniquely integrates across undergraduate, master's, and doctoral levels with strong industry partnerships through research centers and proven expertise in secure machine learning systems and biomedical data analysis using unsupervised machine learning.
Hakia Insight: Cleveland State's integrated pipeline from undergrad through doctorate with dedicated cybersecurity and biomedical data labs means capable students can pivot into PhD-track research without transferring, a retention model most peer institutions don't systematize.
At the bachelor's level, cleveland State University's Machine Learning program is integrated across multiple degree pathways within the Department of Computer Science, offering comprehensive education in artificial intelligence, data science, and machine learning technologies. The Master of Computer Science program emphasizes theoretical capabilities of computing, problem-solving algorithms, and includes elective courses in artificial intelligence, big data processing, and data mining. The Bachelor of Science in Data Science program integrates statistics, computer science, and domain-specific knowledge with specialized training in machine learning, statistical modeling, and data visualization. The PhD in Engineering - Computer Science specialization prepares students for advanced research careers with robust curriculum in algorithms, machine learning, and big data. CSU offers proven expertise in data science and AI through partnerships with CSU T.E.C.H. Hub, Center for Cybersecurity and Privacy Protection, and Center for Applied Data Analysis and Modeling, developing innovative solutions in statistical methods for big data, secure machine learning systems, deep neural networks, and MLAI-based communication solutions.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- CSU T.E.C.H. Hub
- Center for Cybersecurity and Privacy Protection
- Center for Applied Data Analysis and Modeling
Location Advantages: Cleveland location provides access to industry partnershipsGovernment and private industry collaboration opportunities
Mount St. Joseph University — Cincinnati, OH
Key Distinction: Mount St. Joseph uniquely emphasizes ethical AI and fair machine learning within a Catholic educational framework, positioning graduates as leaders in responsible data science.
Hakia Insight: Mount St. Joseph's Cincinnati location funnels graduates into healthcare and nonprofit sectors where ethical AI frameworks are competitive requirements, not nice-to-haves—positioning ethics coursework as vocational advantage rather than philosophical add-on.
At the bachelor's level, at Mount St. Joseph, the machine learning program is embedded within a broader computer science curriculum that prioritizes ethical AI and responsible data science. This Catholic institution's mission shapes the program's distinctive emphasis on the societal impact of algorithmic decision-making, bias detection, and fairness in machine learning systems. Students engage with real datasets from nonprofit and healthcare organizations, gaining experience in domains where ML ethics directly affect vulnerable populations. The curriculum balances theoretical foundations with practical projects: students work through Python-based labs covering supervised and unsupervised learning, neural networks, and reinforcement learning, but always with a lens toward ethical implementation. Faculty mentorship is personalized; the small class sizes enable students to pursue independent research projects that often address social good applications. Partnerships with local hospitals and social service agencies create practicum opportunities where students apply machine learning to pressing real-world challenges. Graduates often pursue roles in healthcare analytics, nonprofit technology, and social impact-focused companies where their ethical training differentiates them from competitors. The program appeals to students who want technical rigor alongside purpose-driven work.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Cincinnati Children's Hospital Medical Center (nonprofit)
- Local social service agencies (nonprofit)
Career Outcomes
Top Employers: Cincinnati Children's Hospital Medical Center, Healthcare and nonprofit organizations.
Location Advantages: Cincinnati metropolitan area with healthcare and nonprofit sector concentrationAccess to major medical institutions for research partnerships
Baldwin Wallace University — Berea, OH
Key Distinction: Baldwin Wallace balances machine learning theory with business intelligence and communication skills, producing graduates who can translate models into organizational impact.
Hakia Insight: Baldwin Wallace's emphasis on translating models into business impact, paired with Cleveland banking and healthcare partnerships, produces graduates fluent in both model validation and stakeholder communication—a gap most technical programs leave unfilled.
At the bachelor's level, baldwin Wallace's machine learning program distinguishes itself through an integrated approach that connects algorithmic learning with business intelligence and data visualization. Rather than treating ML as a pure math exercise, the curriculum prioritizes the translation of model outputs into actionable business insights—a skill employers consistently report as lacking in new graduates. Students work with real business datasets in courses covering predictive modeling, clustering, and classification, then learn to communicate findings through dashboards and stakeholder presentations. The program benefits from Baldwin Wallace's location in the greater Cleveland area, which has a growing tech sector and strong ties to healthcare, banking, and manufacturing industries. Industry guest lectures and project-based learning expose students to the full lifecycle of ML deployment, from problem definition through model maintenance. The capstone experience typically involves a real client project where teams deliver end-to-end solutions. Faculty come from both academic and industry backgrounds, bringing pragmatic perspective to theoretical concepts. Graduates report high confidence in their ability to move from research to production—a critical gap in many university programs. This balance of rigor and business acumen appeals to students targeting roles where technical skills directly drive revenue or operational efficiency.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Cleveland-area healthcare and financial services firms (corporate)
Career Outcomes
Top Employers: Cleveland-area banking, healthcare, and tech firms.
Location Advantages: Greater Cleveland tech ecosystem with healthcare and banking presenceRegional employer connections in financial services and healthcare analytics
Best Master's Machine Learning Degree Programs in Ohio
University of Dayton — Dayton, OH
Key Distinction: The program uniquely combines autonomous systems with data science, focusing on real-world applications including human-machine partnerships, cyber security, and ethical AI frameworks for autonomous decision-making.
Hakia Insight: University of Dayton's autonomous systems + data science fusion addresses a market gap: most ML programs teach prediction in isolation, but UD explicitly trains students to design systems where algorithms make real-world decisions under uncertainty and human oversight.
At the master's level, university of Dayton offers machine learning education through its Computer Science programs and Autonomous Systems and Data Science Graduate Certificate. The programs emphasize practical applications in autonomous systems, AI, data science, and intelligent system design.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Admissions
GPA Requirement: 3.0.
Requirements: bachelor's degree in mathematics, engineering or sciences, computer science or closely related field desirable
Location Advantages:
Ohio State University-Main Campus — Columbus, OH
Key Distinction: The course emphasizes transitioning from small toy datasets to large volumes of real-world data from the Internet, with practical industry applications across multiple domains
Hakia Insight: Ohio State's access to the Ohio Supercomputer Center means master's students don't simulate distributed computing—they train models on actual high-performance infrastructure, compressing the learning curve from classroom to production-scale systems.
At the master's level, applied Machine Learning is part of the Certification in Practice of Data Analytics (CPDA) program that focuses on practical approaches to constructing scalable data pipelines for machine learning applications. Students learn to apply various machine learning algorithms on different data types including tabular data, imagery/video, and natural language through case studies.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Jay Fournier Laboratory
- Scott Langenecker Laboratory
- Tony King Laboratory
- AI Institute for Future Edge Networks and Distributed Intelligence
- Intelligent CI with Computational Learning in the Environment
- Imageomics Institute
Industry Partners
- Amazon (employer)
- Apple (employer)
- Capital One (employer)
- Cisco Systems (employer)
- Epic (employer)
- Google (employer)
- IBM Corp. (employer)
- JPMorgan Chase (employer)
- Microsoft (employer)
- Nationwide Insurance (employer)
- Northrop Grumman (employer)
- Root Insurance (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Apple, Google, Microsoft, Capital One, JPMorgan Chase, Epic, IBM Corp..
Notable Faculty
- Gabriel Rushin — Principal Product Manager - AI/ML, Master's in Computer Science & Data Science
Admissions
GPA Requirement: 3.00.
Requirements: Introductory Statistics for Data Analytics, Data Mining, Python experience required
Accreditations and Certifications
- CPDA Certificate of Completion
- 4 CEUs upon completion
Location Advantages: Columbus tech ecosystemAccess to Ohio Supercomputer Center
Case Western Reserve University — Cleveland, OH
Key Distinction: Researchers work on fundamental questions behind AI while applying AI and machine learning methods to diverse applications including healthcare, medical robotics, bioinformatics, software engineering, and cybersecurity, with strong industry partnerships.
Hakia Insight: Case Western's master's program weaponizes proximity to Cleveland Clinic: students can shift from coursework into clinical ML projects mid-degree, converting a two-year program into paid applied research that rivals industry internships.
At the master's level, case Western Reserve University offers machine learning as part of their Computer and Data Sciences programs, with a focus on both fundamental AI research and practical applications. The program integrates core data science skills with cutting-edge AI and machine learning applications across fields like healthcare, bioinformatics, and cybersecurity.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Medical Robotics and Computer Integrated Surgery Laboratory
Industry Partners
- IBM (tech)
- Cleveland Clinic (healthcare)
Notable Faculty
- M. Cenk Cavusoglu — Medical robotics and computer integrated surgery
- Vipin Chaudhary — High Performance Computing, AI/ML/Data Science, Medical Image Processing
- Mehmet Koyutürk — Algorithms for transforming biological data into systems biology knowledge
- Sanmukh Kuppannagari — AI/ML Acceleration on Heterogeneous Platforms
- Michael Lewicki — Theoretical models of computation and representation in sensory coding
- Jing Li — Computational approaches for genomics, bioinformatics and big data analytics
- Soumya Ray — Algorithms for intelligent adaptive systems
- Yinghui Wu — Data management and analysis techniques for knowledge management
Location Advantages:
University of Cincinnati-Main Campus — Cincinnati, OH
Key Distinction: The program implements Intel's AI for Workforce program and leverages UC's renowned co-op program for real-world AI experience at organizations like the National Renewable Energy Laboratory
Hakia Insight: UC's co-op program places students at NREL and other major labs during their studies, meaning you're solving real renewable energy and industrial problems while earning—a paid apprenticeship model most master's programs reserve for post-graduation.
At the master's level, UC offers AI and machine learning education through multiple pathways including a two-year Associate of Applied Science in Artificial Intelligence at UC Blue Ash implementing Intel's AI for Workforce program, plus graduate programs in AI and Robotics/Autonomous Systems through the College of Engineering and Applied Science.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Intelligent Robotics and Autonomous Systems Laboratory
- Center for Global Design and Manufacturing
Industry Partners
- Intel (tech)
- National Renewable Energy Laboratory (NREL) (research)
- Siemens (tech)
- GE (tech)
Career Outcomes
Median Salary: $110,000.
Location Advantages: Strong cooperative education program with industry partnershipsMultiple colleges offering complementary programs in AI and analytics
Cleveland State University — Cleveland, OH
Key Distinction: CSU's machine learning program uniquely integrates across undergraduate, master's, and doctoral levels with strong industry partnerships through research centers and proven expertise in secure machine learning systems and biomedical data analysis using unsupervised machine learning.
Hakia Insight: Cleveland State's vertical integration from undergrad through doctoral study in machine learning creates a rare advantage: doctoral students mentor master's cohorts on live cybersecurity and biomedical projects, compressing the research timeline and building a three-tier peer network.
At the master's level, cleveland State University's Machine Learning program is integrated across multiple degree pathways within the Department of Computer Science, offering comprehensive education in artificial intelligence, data science, and machine learning technologies. The Master of Computer Science program emphasizes theoretical capabilities of computing, problem-solving algorithms, and includes elective courses in artificial intelligence, big data processing, and data mining. The Bachelor of Science in Data Science program integrates statistics, computer science, and domain-specific knowledge with specialized training in machine learning, statistical modeling, and data visualization. The PhD in Engineering - Computer Science specialization prepares students for advanced research careers with robust curriculum in algorithms, machine learning, and big data. CSU offers proven expertise in data science and AI through partnerships with CSU T.E.C.H. Hub, Center for Cybersecurity and Privacy Protection, and Center for Applied Data Analysis and Modeling, developing innovative solutions in statistical methods for big data, secure machine learning systems, deep neural networks, and MLAI-based communication solutions.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- CSU T.E.C.H. Hub
- Center for Cybersecurity and Privacy Protection
- Center for Applied Data Analysis and Modeling
Location Advantages: Cleveland location provides access to industry partnershipsGovernment and private industry collaboration opportunities
Miami University-Oxford — Oxford, OH
Key Distinction: Engage in research with published, award-winning faculty members in small classes, learning from leading professors across key areas such as artificial intelligence, machine learning, computer graphics, and cryptography.
Hakia Insight: Miami's $117,591 median salary for master's graduates—$7,591 above UC Cincinnati's—reflects deliberate placement into small, research-heavy cohorts where award-winning faculty actively guide thesis work into industry-ready publications.
At the master's level, miami University-Oxford offers machine learning education through its Master of Science in Computer Science (MSCS) and Master of Computer Science (MCS) programs, with artificial intelligence and machine learning being key areas of focus. The programs emphasize practical skills and technical knowledge for computing professions.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Career Outcomes
Median Salary: $117,591.
Admissions
GPA Requirement: 3.0.
Requirements: Data Structures, Differential and integral calculus (for MSCS)
Accreditations and Certifications
Location Advantages:
Kent State University at Kent — Kent, OH
Key Distinction: The program uniquely combines machine learning with AI applications across diverse sectors including intelligent analytics, smart homes and communities, robotics and automation, preparing graduates for both research and industry applications.
Hakia Insight: Kent State's CRAI and GAME labs position graduates across robotics, smart infrastructure, and autonomous systems rather than funneling them into a single career path, giving you dual expertise that appeals to both research labs and product engineering teams.
At the master's level, kent State University's Machine Learning program is delivered through the M.S. in Artificial Intelligence, a STEM-designated degree that prepares students for career paths with emerging AI technologies, including machine learning, intelligent analytics, smart homes and communities, and robotics and automation. The program offers specialized coursework spanning key topics including machine learning, neural networks, and data science. Designed to build technical expertise and problem-solving skills, graduates gain technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community and military sectors. The interdisciplinary program includes sectors requiring intelligent pattern-analysis of big data such as retail, healthcare, biology, psychology and intelligent human-machine interactions and interfaces. Students benefit from research opportunities through advanced labs including the Cognitive Robotics and AI Lab and Green and Advanced Mobility Engineering Lab, which focuses on developing data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Cognitive Robotics and AI (CRAI) Lab
- Green and Advanced Mobility Engineering (GAME) Lab
Notable Faculty
- Arvind Bansal — Artificial Intelligence
Admissions
GPA Requirement: 3.000.
Requirements: High-level algebra, geometry and calculus courses (equivalent to MATH 12002, MATH 12003, MATH 21001), Computer programming, Discrete structures, English language proficiency for international students (minimum 71 TOEFL iBT, 6.0 IELTS, 50 PTE, or 100 DET)
Location Advantages:
Ohio University-Main Campus — Athens, OH
Key Distinction: Ohio University offers the first Bachelor of Science degree in Artificial Intelligence in the state of Ohio, combining comprehensive AI theory with practical hands-on experience through a two-semester capstone project.
Hakia Insight: Ohio University launched Ohio's first AI bachelor's degree in Fall 2024 with a mandatory two-semester capstone; master's students gain access to this pipeline's early research outputs, putting you at the intellectual center of a state-level AI education initiative.
At the master's level, ohio University's Machine Learning program is anchored by the state's first Bachelor of Science in Artificial Intelligence, launched in Fall 2024 through the School of Electrical Engineering and Computer Science in the Russ College of Engineering and Technology. The program trains students in AI theory and algorithms for learning, data analysis, optimization and decision making. Students receive comprehensive training to transform large datasets into actionable decisions for complex inputs including vision, language and databases. The curriculum covers knowledge representation, heuristic search, automated problem solving, machine learning, deep learning, and computer science fundamentals. Core courses include Concepts of Artificial Intelligence, Foundations of Artificial Intelligence, Statistical Learning, and Foundations of Deep Learning. Students complete a two-semester capstone project designing and building practical AI systems. The program is supported by active research in machine learning, bioinformatics, signal processing, and computer vision, with faculty conducting sponsored research with industry and government agencies.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Avionics Engineering Center
- Center for Scientific Computing and Immersive Technologies
Industry Partners
- Intel (corporate)
- Boeing (corporate)
- Google (corporate)
Career Outcomes
Top Employers: Intel, Boeing, Google.
Notable Faculty
- Dr. David W. Juedes — Artificial Intelligence and Computer Science
Location Advantages: Access to Silicon Valley startup culture preparationR1 Research University statusActive sponsored research with industry and government agencies
Franklin University — Columbus, OH
Key Distinction: Franklin University uniquely combines industry-leading professional certificates from IBM, Google Cloud, and DeepLearning.AI with degree pathways, allowing students to earn college credits while gaining cutting-edge machine learning skills through flexible, subscription-based learning.
Hakia Insight: Franklin's subscription-based model lets you stack IBM, Google Cloud, and DeepLearning.AI certificates into your degree credits—you're learning on the exact tools employers use, with credentials that refresh as platforms evolve, rather than graduating with static course content.
At the master's level, franklin University offers comprehensive machine learning education through multiple pathways, combining industry-standard certificates with degree programs. The university provides professional certificates from leading industry partners including IBM Machine Learning Certificate, Google Cloud Machine Learning Engineer Certificate, and DeepLearning.AI TensorFlow Developer Certificate through their FranklinWorks Marketplace. These certificates cover cutting-edge topics including deep learning, reinforcement learning, neural networks, computer vision, natural language processing, and MLOps. The M.S. in Data Analytics program provides foundational machine learning education within a broader analytics curriculum, featuring hands-on experience with Python, R, TensorFlow, Keras, and big data technologies like Hadoop. Students can earn college credits for certificate completions and benefit from flexible, self-paced online learning. The program is led by experienced faculty including Dr. Kemal Aydin, who authored 'Unsupervised Learning Algorithms' and established multiple AI and machine learning labs.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- AI Lab
- Machine Learning Lab
- Bioinformatics Lab
Industry Partners
- IBM (corporate)
- Google Cloud (corporate)
- DeepLearning.AI (corporate)
- Coursera Campus (corporate)
- Microsoft (corporate)
Notable Faculty
- Dr. Kemal Aydin — Machine Learning, Unsupervised Learning, AI
Accreditations and Certifications
- Higher Learning Commission Accredited
- Ohio Department of Higher Education Authorized
Location Advantages: 100% online availabilityFlexible scheduling with multiple start dates throughout the year
Air Force Institute of Technology-Graduate School of Engineering & Management — Wright-Patterson AFB, OH
Key Distinction: AFIT's machine learning program is uniquely embedded in the defense research ecosystem, allowing students to develop and test algorithms on actual Air Force operational problems rather than academic datasets.
Hakia Insight: AFIT's algorithms are tested on actual Air Force operational datasets and real defense problems; your thesis isn't a simulation but a deployable solution, giving you security clearance-eligible experience that contractors like Northrop Grumman actively recruit.
At the master's level, AFIT's machine learning curriculum is built on a defense-first engineering foundation, making it distinctive among graduate programs for students seeking to apply AI/ML to national security challenges. The program emphasizes rigorous mathematical fundamentals—linear algebra, optimization, statistical inference—before branching into applied machine learning, computer vision, and autonomous systems. What sets AFIT apart is its integration of real classified and unclassified research problems into coursework; students don't work on toy datasets but tackle actual Air Force operational challenges in sensor fusion, predictive maintenance, and decision support systems. Faculty researchers actively contribute to the Air Force Research Laboratory (AFRL) mission, and many students complete theses on problems sponsored by AFRL or other DoD entities. The student body consists primarily of active-duty Air Force officers and civilians seeking advanced technical credentials, creating a cohort with deep domain expertise in aerospace, intelligence, and weapons systems. Graduates enter career trajectories with security clearances intact and immediate access to cutting-edge defense AI applications—a pathway unavailable at civilian institutions. The program's selectivity and mission focus attract faculty with both academic rigor and practical defense engineering experience.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Air Force Research Laboratory (AFRL) Information Directorate
Industry Partners
- Air Force Research Laboratory (government)
- Northrop Grumman (corporate)
- Lockheed Martin (corporate)
Career Outcomes
Top Employers: Air Force Research Laboratory, Defense Intelligence Agency, National Reconnaissance Office, Northrop Grumman, Lockheed Martin.
Location Advantages: Wright-Patterson Air Force Base headquarters location provides direct access to AFRL researchers and facilities
Best Doctoral Machine Learning Degree Programs in Ohio
Case Western Reserve University — Cleveland, OH
Key Distinction: Researchers work on fundamental questions behind AI while applying AI and machine learning methods to diverse applications including healthcare, medical robotics, bioinformatics, software engineering, and cybersecurity, with strong industry partnerships.
Hakia Insight: Case Western's Medical Robotics Lab pairs AI researchers with Cleveland Clinic physicians, meaning your doctoral work on machine learning for surgery or diagnostics has immediate clinical validation—you're not publishing in a vacuum but shaping hospital practice.
At the doctoral level, case Western Reserve University offers machine learning as part of their Computer and Data Sciences programs, with a focus on both fundamental AI research and practical applications. The program integrates core data science skills with cutting-edge AI and machine learning applications across fields like healthcare, bioinformatics, and cybersecurity.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Medical Robotics and Computer Integrated Surgery Laboratory
Industry Partners
- IBM (tech)
- Cleveland Clinic (healthcare)
Notable Faculty
- M. Cenk Cavusoglu — Medical robotics and computer integrated surgery
- Vipin Chaudhary — High Performance Computing, AI/ML/Data Science, Medical Image Processing
- Mehmet Koyutürk — Algorithms for transforming biological data into systems biology knowledge
- Sanmukh Kuppannagari — AI/ML Acceleration on Heterogeneous Platforms
- Michael Lewicki — Theoretical models of computation and representation in sensory coding
- Jing Li — Computational approaches for genomics, bioinformatics and big data analytics
- Soumya Ray — Algorithms for intelligent adaptive systems
- Yinghui Wu — Data management and analysis techniques for knowledge management
Location Advantages:
Air Force Institute of Technology-Graduate School of Engineering & Management — Wright-Patterson AFB, OH
Key Distinction: AFIT's machine learning program is uniquely embedded in the defense research ecosystem, allowing students to develop and test algorithms on actual Air Force operational problems rather than academic datasets.
Hakia Insight: AFIT doctoral candidates develop algorithms against real Air Force intelligence and operational challenges at Wright-Patterson; your dissertation becomes immediately relevant to the Defense Intelligence Agency and National Reconnaissance Office, shortening the path from thesis to national security application.
At the doctoral level, AFIT's machine learning curriculum is built on a defense-first engineering foundation, making it distinctive among graduate programs for students seeking to apply AI/ML to national security challenges. The program emphasizes rigorous mathematical fundamentals—linear algebra, optimization, statistical inference—before branching into applied machine learning, computer vision, and autonomous systems. What sets AFIT apart is its integration of real classified and unclassified research problems into coursework; students don't work on toy datasets but tackle actual Air Force operational challenges in sensor fusion, predictive maintenance, and decision support systems. Faculty researchers actively contribute to the Air Force Research Laboratory (AFRL) mission, and many students complete theses on problems sponsored by AFRL or other DoD entities. The student body consists primarily of active-duty Air Force officers and civilians seeking advanced technical credentials, creating a cohort with deep domain expertise in aerospace, intelligence, and weapons systems. Graduates enter career trajectories with security clearances intact and immediate access to cutting-edge defense AI applications—a pathway unavailable at civilian institutions. The program's selectivity and mission focus attract faculty with both academic rigor and practical defense engineering experience.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Air Force Research Laboratory (AFRL) Information Directorate
Industry Partners
- Air Force Research Laboratory (government)
- Northrop Grumman (corporate)
- Lockheed Martin (corporate)
Career Outcomes
Top Employers: Air Force Research Laboratory, Defense Intelligence Agency, National Reconnaissance Office, Northrop Grumman, Lockheed Martin.
Location Advantages: Wright-Patterson Air Force Base headquarters location provides direct access to AFRL researchers and facilities
Kent State University at Kent — Kent, OH
Key Distinction: The program uniquely combines machine learning with AI applications across diverse sectors including intelligent analytics, smart homes and communities, robotics and automation, preparing graduates for both research and industry applications.
Hakia Insight: Kent State's doctoral program bridges the CRAI and GAME labs, allowing PhD candidates to lead projects spanning both cognitive robotics and autonomous mobility—a rare cross-domain positioning that makes graduates attractive to both defense contractors and autonomous vehicle firms.
At the doctoral level, kent State University's Machine Learning program is delivered through the M.S. in Artificial Intelligence, a STEM-designated degree that prepares students for career paths with emerging AI technologies, including machine learning, intelligent analytics, smart homes and communities, and robotics and automation. The program offers specialized coursework spanning key topics including machine learning, neural networks, and data science. Designed to build technical expertise and problem-solving skills, graduates gain technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community and military sectors. The interdisciplinary program includes sectors requiring intelligent pattern-analysis of big data such as retail, healthcare, biology, psychology and intelligent human-machine interactions and interfaces. Students benefit from research opportunities through advanced labs including the Cognitive Robotics and AI Lab and Green and Advanced Mobility Engineering Lab, which focuses on developing data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Cognitive Robotics and AI (CRAI) Lab
- Green and Advanced Mobility Engineering (GAME) Lab
Notable Faculty
- Arvind Bansal — Artificial Intelligence
Admissions
GPA Requirement: 3.000.
Requirements: High-level algebra, geometry and calculus courses (equivalent to MATH 12002, MATH 12003, MATH 21001), Computer programming, Discrete structures, English language proficiency for international students (minimum 71 TOEFL iBT, 6.0 IELTS, 50 PTE, or 100 DET)
Location Advantages:
