University campus in Ohio
Updated July 13, 2026

Best Machine Learning Degree Programs in Ohio, 2026 Rankings

Compare the top machine learning colleges in Ohio. 37 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Lakeland Community College to Case Western Reserve University.

#1 ProgramCase Western Reserve
Avg Salary$100,180
Tuition From$4,057/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

51

Programs ranked

IPEDS 2024

$100,180

Ohio median machine learning salary

BLS OEWS 2024

77/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: Case Western Reserve, Miami University-Oxford, Ohio State

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $4,057 to $64,100/year

Lakeland Community College offers the most affordable option at $4,057/yr

IPEDS 2024

Machine Learning degree programs available: 3 associate's, 11 master's, 3 doctoral in Ohio

From community college pathways to advanced research degrees

IPEDS 2024

16 online machine learning degree programs in Ohio

Flexible scheduling for working professionals

IPEDS 2024

Ohio community college transfer can save 40-60% on total degree costs

3 associate's programs provide transfer pathways to bachelor's degrees

Education Commission of the States

Major employers: JPMorgan Chase, Nationwide, Root Insurance, CoverMyMeds

Tech hubs in Columbus and Cleveland

Hakia Research 2026

Machine Learning degree programs near 140+ cities across Ohio

Search by city to find programs within 200 miles of your location

IPEDS 2024

Updated July 13, 2026

How we ranked Ohio Machine Learning programs

We rank 51 accredited machine learning programs in Ohio using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology

Are Machine Learning Degree Programs in Ohio Worth It?

Answer
$100,180
Yes. The best machine learning degree programs in Ohio deliver strong ROI, graduates earn $100,180 median salary with +22% job growth through 2032. In-state tuition averages $30,522/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in Ohio

Compare the top-ranked Machine Learning programs in Ohio by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Associate's Machine Learning Programs in Ohio

3
Programs ranked
$17,262
Avg tuition/yr
97%
Avg grad rate

Program Landscape

Ohio offers 3 accredited associate's degree programs in machine learning, providing an affordable entry point into the technology field. The top-ranked programs include Franklin, Lakeland Community College, U of Findlay, which combine rigorous technical curriculum with practical skills training.

Costs & Value

Community colleges in Ohio offer these two-year programs at an average cost of $17,262/yr, significantly less than four-year university tuition. Students completing associate's degrees can pursue entry-level technical positions and transfer opportunities, with entry-level salaries averaging $55,099 in Ohio.

Career Pathways

Many programs feature guaranteed transfer agreements with Ohio's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The Columbus, Cleveland, Cincinnati areas offer particularly strong job markets for associate's degree holders, with employers like JPMorgan Chase, Nationwide, Root Insurance hiring for technical support, junior development, and IT specialist positions.

Curriculum & Specializations

Programs typically include coursework in programming fundamentals, database management, networking basics, and software development. Among machine learning schools in Ohio, these associate's programs offer the best value for students beginning their machine learning degrees in Ohio.

Best Bachelor's Machine Learning Programs in Ohio

34
Programs ranked
$31,892
Avg tuition/yr
88%
Avg grad rate

Program Landscape

Ohio ranks among the nation's top destinations for machine learning education, with 34 accredited bachelor's degree programs across 8 public and 26 private institutions. The highest-ranked programs are Case Western Reserve, Miami University-Oxford, Ohio State, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Ohio machine learning programs earn a median salary of $85,153, 13% below the national average. The state's robust technology sector, anchored by the Columbus, Cleveland, Cincinnati metropolitan areas, provides abundant internship and employment opportunities with companies including JPMorgan Chase, Nationwide, Root Insurance.

Costs & Value

Tuition ranges from $5,404 to $64,100 annually, with an average of $31,892/yr. Top programs maintain graduation rates above 88%, with the highest reaching 97%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Ohio's leading technology employers. For students seeking machine learning degrees in Ohio, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Show all 34 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Cedarville UniversityCedarville, OHPrivate$35,87886%51.7
#7Kent State University at KentKent, OHPublic$11,59546.2
#8Cleveland State UniversityCleveland, OHPublic$12,50351.3
#9Mount St. Joseph UniversityCincinnati, OHPrivate$35,45086%47.7
#10Baldwin Wallace UniversityBerea, OHPrivate$37,68694%46.7
#11University of DaytonDayton, OHPrivate$47,60048.5
#12The College of WoosterWooster, OHPrivate$59,05043.4
#13Marietta CollegeMarietta, OHPrivate$37,75287%44.5
#14Franklin UniversityColumbus, OHPrivate$9,55247.4
#15University of Cincinnati-Main CampusCincinnati, OHPublic$11,22878%46.9
#16The University of FindlayFindlay, OHPrivate$38,17697%46.0
#17Franciscan University of SteubenvilleSteubenville, OHPrivate$32,07073%42.6
#18Youngstown State UniversityYoungstown, OHPublic$9,61138.7
#19Ohio Wesleyan UniversityDelaware, OHPrivate$51,71040.9
#20Central State UniversityWilberforce, OHPublic$5,40441.0
#21Capital UniversityColumbus, OHPrivate$41,29838.9
#22University of Rio GrandeRio Grande, OHPrivate$19,60039.9
#23Xavier UniversityCincinnati, OHPrivate$47,89636.7
#24John Carroll UniversityUniversity Heights, OHPrivate$47,30037.3
#25Heidelberg UniversityTiffin, OHPrivate$32,90038.3
#26Walsh UniversityNorth Canton, OHPrivate$31,15337.3
#27Ohio Northern UniversityAda, OHPrivate$36,50037.0
#28Ohio Dominican UniversityColumbus, OHPrivate$33,76034.9
#29Ashland UniversityAshland, OHPrivate$25,20034.6
#30Malone UniversityCanton, OHPrivate$34,80034.7
#31Wittenberg UniversitySpringfield, OHPrivate$43,65632.6
#32Lourdes UniversitySylvania, OHPrivate$26,01033.1
#33University of Mount UnionAlliance, OHPrivate$35,00032.5
#34Hiram CollegeHiram, OHPrivate$26,26530.5

Best Master's Machine Learning Programs in Ohio

11
Programs ranked
$20,660
Avg tuition/yr
88%
Avg grad rate

Program Landscape

Ohio offers 11 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, U of Dayton, Ohio State, Case Western Reserve, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Ohio earn a median salary of $100,180, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Columbus, Cleveland, Cincinnati creates strong demand for graduate-level talent, with JPMorgan Chase, Nationwide, Root Insurance actively recruiting from these programs.

Costs & Value

Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages $20,660/yr, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals.

Curriculum & Specializations

Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among Ohio's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Show all 11 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Miami University-OxfordOxford, OHPublic$14,05297%53.2
#7Kent State University at KentKent, OHPublic$11,59550.9
#8Ohio University-Main CampusAthens, OHPublic$13,74688%47.6
#9Franklin UniversityColumbus, OHPrivate$9,55246.0
#10Air Force Institute of Technology-Graduate School of Engineering & ManagementWright-Patterson AFB, OHPublic45.4
#11University of Akron Main CampusAkron, OHPublic$10,39937.2

Best Doctoral Machine Learning Programs in Ohio

3
Programs ranked
$37,848
Avg tuition/yr
85%
Avg grad rate

Program Landscape

Ohio is home to 3 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at Case Western Reserve, Air Force Institute of Te..., Kent State University at ... are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with Ohio PhD holders earning a median of $125,225, reflecting the advanced expertise required for research and executive positions. The Columbus, Cleveland, Cincinnati region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like JPMorgan Chase, Nationwide, Root Insurance.

Costs & Value

PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of $25,000–$40,000 annually.

Curriculum & Specializations

Research strengths across Ohio programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing machine learning degrees in Ohio, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

Machine Learning Degree Costs & Tuition in Ohio

MetricValue
Average in-state tuition$30,522/year
Average out-of-state tuition$76,305/year
Community college tuition$7,631/year
4-year savings for residents$183,132
2+2 transfer pathway savings$45,782

Source: IPEDS 2024

Financial Aid for Ohio Machine Learning Students

Verdict: Ohio ML students benefit from one of the most distinctive US ML-research positions: Wright-Patterson Air Force Base's Air Force Research Laboratory (AFRL) ML research operations, one of the largest US military ML research operations, is concentrated in southwestern Ohio. Plus NASA Glenn Research Center (Cleveland) ML applications for aerospace propulsion, Battelle Memorial Institute Columbus ML research (one of the largest US non-profit applied research organizations), Intel's New Albany chip fab ML applications for semiconductor manufacturing (substantial new employer through 2026-2027), and Cleveland Clinic ML for healthcare. Combined with Choose Ohio First STEM scholarships and Ohio's affordable in-state tuition, Ohio ML education delivers exceptional outcomes-to-cost economics for federal-ML, defense-ML, and applied-industrial-ML careers.

Choose Ohio First STEM Scholarship Program explicitly includes ML/CS as priority fields and provides substantial scholarship support for Ohio students pursuing STEM at participating Ohio institutions. OSU Buckeye Opportunity Affordability Promise covers in-state tuition for Pell-eligible Ohio residents at Ohio State Columbus. Ohio Need-Based Grant Program adds additional state aid for in-state students.

Ohio's ML-specific institutional aid and research depth is concentrated at: Ohio State University (OSU) Translational Data Analytics Institute and CSE ML research with substantial faculty depth across machine learning, NLP, computer vision, and applied ML. University of Cincinnati ML research with substantial industry-applied ML depth (P&G applied-ML, GE Aviation ML). Case Western Reserve University CS-ML with substantial healthcare-ML research depth and Cleveland Clinic adjacency. University of Dayton with substantial Wright-Patterson AFB-adjacent CS-ML program and direct AFRL research pathways. Kent State University has growing ML programs.

The Wright-Patterson Air Force Base AFRL ML research pipeline is the distinctive Ohio ML funding dynamic, AFRL's Information Directorate operations include substantial ML research workforces focused on autonomous systems ML, intelligence-ML, signals-ML, and applied military ML. University of Dayton's direct AFRL relationship creates a substantial pipeline from UD undergraduate CS-ML to Wright-Patterson AFB ML careers. Industry-track scholarships from Ohio-based ML employers, Battelle Memorial Institute Columbus ML, NASA Glenn Cleveland ML, Cleveland Clinic ML, Intel New Albany manufacturing-ML, P&G Cincinnati applied-ML, JPMorgan Chase Columbus ML, provide additional funding most students don't pursue.

Machine Learning Degree ROI Calculator, Ohio

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in Ohio. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Machine Learning Degree ROI Calculator

Estimate your return on investment for a machine learning degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+907%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,677,254

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$133,333

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown

How we calculate your degree ROI using real salary data

Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$2,712,662

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Chicago, IL)$140,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return4.9%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2024. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Machine Learning Salaries by Metro Area

Median annual salary in Ohio metro areas

Columbus$110K
Cleveland$105K
Cincinnati$100K
View data table
CategoryValue
Columbus$110K
Cleveland$105K
Cincinnati$100K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in Ohio

Find machine learning jobs in Ohio. These major employers across Ohio metro areas are actively hiring machine learning degree holders. Click employer names to view current job openings.

Machine Learning Jobs in Columbus

OH

Columbus is Ohio's tech hub with a strong insurtech and fintech presence, plus major data center investments.

Nearby cities: Dublin, Westerville, Worthington, Grove City

Amazon
E-commerce/Cloud (AWS)
Google
Search/Cloud/AI
Meta
Social/VR/AI
JPMorgan Chase
Financial Technology
Nationwide Insurance
Insurance Tech
CoverMyMeds
Healthcare Tech
Upstart
Fintech/AI Lending

Machine Learning Jobs in Cleveland

OH

Cleveland combines healthcare IT innovation with industrial automation and aerospace research.

Nearby cities: Akron, Parma, Independence, Beachwood

IBM
Enterprise IT/Cloud
Key Bank
Financial Technology
Progressive Insurance
Insurance Tech
Hyland Software
Enterprise Content
Rockwell Automation
Industrial IoT

Ohio Tech Industry & Infrastructure

Ohio's tech market is reshaping rapidly around Intel's $20+ billion New Albany semiconductor fab (the largest single private investment in state history) and Honda's EV/battery joint venture with LG Energy Solution. Beyond the new chip and EV manufacturing footprint, Ohio's three major metros each host substantial enterprise/financial-services tech operations.

Columbus

Columbus metro

Fastest-growing Ohio tech metro by employment. Intel Ohio chip fab (online 2026-2027), Nationwide Insurance IT, Cardinal Health, Honda IT, Huntington Bank tech. Ohio State University is the principal CS graduate producer.

Cincinnati

Cincinnati metro

P&G's substantial IT and analytics organization, Kroger's digital transformation (84.51° data science arm), Fifth Third Bank tech, GE Aviation. Strong consumer-products data-engineering market.

Cleveland

Cleveland-Akron metro

Progressive Insurance HQ, KeyBank tech, Sherwin-Williams IT, Cleveland Clinic and University Hospitals medical-IT. Smaller but stable enterprise-tech market.

Ohio has a graduated state income tax (top rate ~3.5%). InvestOhio and JobsOhio's R&D tax credit are the principal state-level tech-employer incentives.

Ohio Regulation Affecting Machine Learning Graduates

Ohio is unusual among states for offering an explicit cybersecurity safe-harbor through the Ohio Data Protection Act — businesses that voluntarily adopt a recognized cybersecurity framework gain affirmative defense against data-breach tort claims. This makes Ohio a relatively favorable jurisdiction for security-engineering work.

Ohio Data Protection Act (ODPA)

Provides an affirmative defense against data-breach tort claims for businesses that maintain a written cybersecurity program conforming to recognized frameworks (NIST CSF, ISO 27001, PCI-DSS, HITRUST, etc.).

Strong incentive for OH-based businesses to invest in formal security programs — drives security-engineer hiring and consulting demand. Engineers building security-program-compliant systems in Ohio operate with this legal benefit in mind.

Read more

Ohio Personal Information Privacy Act (proposed)

HB 376 / SB 11 (varying sessions) propose CCPA-style consumer privacy rights for Ohio residents. None has yet passed as of 2026.

Engineers should watch this space; Ohio passing comprehensive privacy would create a new compliance lane.

Read more

Ohio Identity Theft & Data Breach Notification Statutes

Ohio Revised Code 1349.19 — requires data-breach notification for OH residents whose personal information was compromised.

Standard data-protection compliance for any OH-resident-serving business.

Read more

Professional Engineer Licensure in Ohio

Ohio does not currently administer a separate Software Engineering PE license. ABET-EAC accreditation is recognized for traditional engineering PE tracks (mechanical, electrical, computer engineering); software engineering specifically is not a recognized Ohio PE discipline.

Ohio licensing board

Ohio Financial Aid Programs

Up to $5,500/yr (varies by institution type)

Ohio residents with demonstrated financial need at OH public and private nonprofit institutions

Choose Ohio First Scholarship

STEM-specific state scholarship

Average ~$4,700/yr (varies by institution and award)

Ohio residents pursuing STEM degrees at participating Ohio institutions; merit + financial need

Tuition + fees

Children/spouses of OH safety officers killed in the line of duty

Up to ~$5,950/yr

Children of qualifying veterans pursuing higher education in Ohio

Transfer Pathways for Ohio Machine Learning Students

Verdict: Ohio's Ohio Transfer 36 and Transfer Assurance Guide (TAG) provide robust ML-track transfer pathways at the foundational level. The ML-specific consideration is that OSU Columbus CS-ML transfer admission is competitive (15-25% for CS) while OSU regional campuses, Ohio University Athens, University of Cincinnati, University of Dayton, Wright State University, Cleveland State University, and Kent State University have substantially more accessible ML-track transfer admission.

Best Ohio community college ML-track-feeder schools: Columbus State Community College (strong OSU Columbus pipeline, refined ML-prerequisite mathematics, geographically positioned for direct Battelle and Intel New Albany exposure during community college years), Cuyahoga Community College (Tri-C) (Cleveland, strong Cleveland State, Case Western, and Kent State pathways), Sinclair College (Dayton, strong University of Dayton and Wright State pathways, geographically adjacent to Wright-Patterson AFB), Cincinnati State Technical and Community College (strong UC and Xavier pathways), Lorain County Community College (north Ohio, strong Kent State and Bowling Green pathways), Lakeland Community College (NE Ohio, strong Case Western pathway). Each has refined ML-prerequisite mathematics and intro-CS sequences via Ohio Transfer 36 articulation.

The Sinclair College → University of Dayton CS-with-ML-emphasis pathway is the most reliable Ohio aerospace/defense-ML transfer progression, Sinclair is geographically adjacent to UD and Wright-Patterson AFB, has refined transfer counseling, and UD's direct AFRL research relationships create unusually direct undergraduate→federal-ML career pipelines. The Columbus State → OSU CS-ML pathway is the substantially-accessible Columbus flagship optimization. The Tri-C → Case Western CS-ML pathway is the Cleveland-area healthcare-ML optimization with Cleveland Clinic-adjacent industry placement.

Beyond OSU: Ohio University Athens has growing CS-ML programs at affordable in-state tuition. University of Cincinnati has substantial CS-ML programs with P&G applied-ML and GE Aviation ML industry placement. University of Dayton is the substantial aerospace/defense-ML optimization, direct AFRL pathways are unusually accessible. Case Western Reserve University has growing CS-ML with Cleveland Clinic healthcare-ML emphasis. Cleveland State University has accessible CS-ML programs. Kent State University has growing ML programs. Wright State University has substantial Wright-Patterson AFB-adjacent CS-ML program with direct AFRL pathways. Miami University (Oxford) has growing ML programs. For Ohio ML-track students, the Wright State or UD pathway is the aerospace/defense-ML optimization with direct Wright-Patterson AFB AFRL pathways; OSU is the strong flagship CS-ML optimization; Case Western is the Cleveland healthcare-ML optimization; UC is the Cincinnati applied-ML optimization.

Machine Learning Job Growth in Ohio

15%
The Bureau of Labor Statistics projects 15% growth for machine learning occupations in Ohio through 2024-2034. The median salary stands at $100,180 with 37 accredited programs statewide.

Source: BLS Occupational Outlook

Ohio Machine Learning Engineer Job Market & Salary

Verdict: Ohio has a substantial and distinctive ML engineer job market dominated by Wright-Patterson AFB AFRL (one of the largest US military ML research operations, autonomous systems ML, intelligence-ML, signals-ML, applied defense ML), Battelle Memorial Institute Columbus (one of the largest US non-profit applied research operations, substantial ML work across national security, healthcare, energy, and applied industrial ML), NASA Glenn Research Center ML applications for aerospace propulsion and space systems, Intel's New Albany chip fab ML applications for semiconductor manufacturing (substantial new employer through 2026-2027 fab opening), Cleveland Clinic ML (one of the larger US healthcare-ML operations), plus growing applied-industrial-ML at P&G Cincinnati, GE Aviation, and Sherwin-Williams. Combined with substantially lower Ohio cost-of-living, Ohio ML take-home compensation is highly competitive despite lower nominal salaries.

By metro: Dayton (Wright-Patterson AFB corridor) averages ~$145,000-$205,000 for cleared ML engineer roles with substantial TS/SCI clearance premium ($30,000-$70,000+ above equivalent uncleared roles), plus substantial defense-ML signing and retention bonuses. AFRL Information Directorate is the substantial employer, autonomous systems ML, intelligence-ML, signals-ML, applied military ML. Wright-Patterson AFB ML engineering across Air Force Materiel Command, AFLCMC, and applied operational ML. Plus AFRL contractor ML work at Booz Allen, Riverside Research, Ball Aerospace, Aptima, plus dozens of smaller defense-ML contractors with Dayton presence.

Columbus averages ~$140,000-$190,000 for ML engineer roles with Battelle Memorial Institute as the substantial employer (Battelle is one of the largest US non-profit applied research operations, substantial ML engineering and ML research workforce across national security, healthcare, energy, and applied industrial ML). OSU Translational Data Analytics Institute for academic-industrial ML partnerships. JPMorgan Chase Columbus for financial-services ML (one of JPMorgan's larger US operations). Nationwide Insurance Columbus for insurance applied-ML. Intel New Albany manufacturing-ML is the substantial new Columbus-area employer through 2026-2027 fab opening, semiconductor manufacturing ML applications (defect detection, process optimization, yield prediction).

Three Ohio ML-specific dynamics: (1) Wright-Patterson AFB AFRL is one of the largest US military ML research operations outside Northern Virginia, providing cleared ML research and engineering opportunities at a scale matched only by NoVa federal ML, with substantially lower Dayton cost-of-living than NoVa. (2) Battelle Memorial Institute Columbus is one of the most-underappreciated US applied-ML employers, substantial ML engineering workforce, comparable to Big Tech applied-ML in technical depth but with substantially more accessible new-graduate hiring. (3) Intel's New Albany chip fab opening 2026-2027 is reshaping Ohio's ML market, semiconductor manufacturing ML is a substantial new Ohio ML employment category, with applications across defect detection, process optimization, and yield prediction at one of the world's largest semiconductor fabs. See Machine Learning Engineer Career Guide and AI/ML Engineer Career Guide.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Ohio$65,117$145,261
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in Ohio

Online Programs

16 available in Ohio

On-Campus Programs

Traditional classroom experience

Typical Tuition$27,470/yr$30,522/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Machine Learning Programs in Other States

Machine Learning Degree Programs in Ohio: FAQ

What are the best machine learning degree programs in Ohio?
The best machine learning degree programs in Ohio based on our methodology are: 1) Case Western Reserve University (85% graduation rate), 2) Miami University-Oxford, and 3) Ohio State University-Main Campus. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Ohio offers 37 total accredited programs across 11 public and 26 private institutions. See our complete rankings for all 34 bachelor's programs.
How much do machine learning degree programs cost in Ohio?
Machine Learning degree program costs in Ohio vary significantly by institution type. In-state public tuition averages $30,522/year, while private institutions average $67,148/year. Community colleges offer the most affordable path at approximately $7,631/year for associate's degrees. The total 4-year cost ranges from $122,088 at public schools to $268,594 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can machine learning degree graduates earn in Ohio?
Machine Learning professionals in Ohio earn a median salary of $100,180, which is competitive with the national average of $115,500. Entry-level positions typically start around $65,117, while senior roles exceed $145,261. Salaries vary by metro area: Columbus ($110,198), Cleveland ($105,189) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online machine learning degree programs in Ohio?
Yes, Ohio offers 16 accredited online Machine Learning programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from Case Western Reserve University and Ohio State University-Main Campus. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire machine learning degree graduates in Ohio?
Major Machine Learning employers in Ohio include JPMorgan Chase, Nationwide, Root Insurance, CoverMyMeds, Hyland Software. The Columbus and Cleveland metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Ohio universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Ohio's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in Ohio?
A machine learning degree program in Ohio offers strong ROI with a $100,180 median salary and +22% projected job growth. At average in-state tuition of $30,522/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($113,203), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do machine learning degree programs take in Ohio?
Standard completion times for machine learning degree programs in Ohio are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. Ohio community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Ohio university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in Ohio?
Ohio machine learning degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. Ohio state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by Ohio's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

Ohio salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 data. Salary data from BLS OEWS May 2024.

Was this ranking helpful for your college search?
Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

The research behind the rankings

In-depth Machine Learning program profiles in Ohio

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Associate's Machine Learning programs

#1Franklin UniversityColumbus, OH

Why it stands out. 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 & institutes

  • AI Lab — Artificial Intelligence Research
  • Machine Learning Lab — Machine Learning Research
  • Bioinformatics Lab — Computational Biology

Industry partners

IBMGoogle CloudDeepLearning.AICoursera CampusMicrosoft

Notable faculty

  • Dr. Kemal Aydin (Machine Learning, Unsupervised Learning, AI)

Accreditation & certifications

Higher Learning Commission AccreditedOhio Department of Higher Education Authorized

Location advantage: 100% online availability Flexible scheduling with multiple start dates throughout the year

#2Lakeland Community CollegeKirtland, OH

Why it stands out. 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.

#3The University of FindlayFindlay, OH

Why it stands out. 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

CEDEIA3C Computer Repairs

Accreditation & certifications

Choose Ohio First scholarship eligible

Location advantage: IA Forum access Internship opportunities

Best Bachelor's Machine Learning programs

#1Case Western Reserve UniversityCleveland, OH

Why it stands out. 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 & institutes

  • Medical Robotics and Computer Integrated Surgery Laboratory — medical robotic systems for surgery and image-guided interventions

Industry partners

IBMCleveland Clinic

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)
#2Miami University-OxfordOxford, OH

Why it stands out. 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

$117,591 median salary

Admissions

GPA 3.0.

Accreditation & certifications

ABET
#3Ohio State University-Main CampusColumbus, OH

Why it stands out. 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 & institutes

  • Jay Fournier Laboratory — Depression research with machine learning applications
  • Scott Langenecker Laboratory — Depression research with machine learning applications
  • Tony King Laboratory — Depression research with machine learning applications
  • AI Institute for Future Edge Networks and Distributed Intelligence — Edge networks and distributed AI systems
  • Intelligent CI with Computational Learning in the Environment — Computational learning in environmental contexts
  • Imageomics Institute — AI applications in biological imaging

Industry partners

AmazonAppleCapital OneCisco SystemsEpicGoogleIBM Corp.JPMorgan ChaseMicrosoftNationwide InsuranceNorthrop GrummanRoot Insurance

Career outcomes

$113,161 median salary

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 3.00.

Accreditation & certifications

CPDA Certificate of Completion4 CEUs upon completion

Location advantage: Columbus tech ecosystem Access to Ohio Supercomputer Center

#4Denison UniversityGranville, OH

Why it stands out. 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 & institutes

  • Red Frame Lab

Industry partners

Victoria's SecretDHLWendy's

Career outcomes

Top employers: Victoria's Secret, DHL, Wendy's

Admissions

Deadline January 15.

#5Ohio University-Main CampusAthens, OH

Why it stands out. 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 & institutes

  • Avionics Engineering Center — Navigation systems and avionics
  • Center for Scientific Computing and Immersive Technologies — Scientific computing and immersive technology research

Industry partners

IntelBoeingGoogle

Career outcomes

0

Top employers: Intel, Boeing, Google

Notable faculty

  • Dr. David W. Juedes (Artificial Intelligence and Computer Science)

Location advantage: Access to Silicon Valley startup culture preparation R1 Research University status Active sponsored research with industry and government agencies

#6Cedarville UniversityCedarville, OH

Why it stands out. 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)

Accreditation & certifications

ABET Accredited
#7Kent State University at KentKent, OH

Why it stands out. 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 & institutes

  • Cognitive Robotics and AI (CRAI) Lab — Cutting-edge cognitive robotics research, designing robot 'Mind' for seamless cooperation with humans
  • Green and Advanced Mobility Engineering (GAME) Lab — Data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques

Notable faculty

  • Arvind Bansal (Artificial Intelligence)

Admissions

GPA 3.000.

#8Cleveland State UniversityCleveland, OH

Why it stands out. 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 & institutes

  • CSU T.E.C.H. Hub — Data science and artificial intelligence research
  • Center for Cybersecurity and Privacy Protection — Secure machine learning systems and cybersecurity
  • Center for Applied Data Analysis and Modeling — Statistical methods for big data and data analysis

Location advantage: Cleveland location provides access to industry partnerships Government and private industry collaboration opportunities

#9Mount St. Joseph UniversityCincinnati, OH

Why it stands out. 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 CenterLocal social service agencies

Career outcomes

Top employers: Cincinnati Children's Hospital Medical Center, Healthcare and nonprofit organizations

Location advantage: Cincinnati metropolitan area with healthcare and nonprofit sector concentration Access to major medical institutions for research partnerships

#10Baldwin Wallace UniversityBerea, OH

Why it stands out. 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

Career outcomes

Top employers: Cleveland-area banking, healthcare, and tech firms

Location advantage: Greater Cleveland tech ecosystem with healthcare and banking presence Regional employer connections in financial services and healthcare analytics

Best Master's Machine Learning programs

#1University of DaytonDayton, OH

Why it stands out. 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 3.0.

#2Ohio State University-Main CampusColumbus, OH

Why it stands out. 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 & institutes

  • Jay Fournier Laboratory — Depression research with machine learning applications
  • Scott Langenecker Laboratory — Depression research with machine learning applications
  • Tony King Laboratory — Depression research with machine learning applications
  • AI Institute for Future Edge Networks and Distributed Intelligence — Edge networks and distributed AI systems
  • Intelligent CI with Computational Learning in the Environment — Computational learning in environmental contexts
  • Imageomics Institute — AI applications in biological imaging

Industry partners

AmazonAppleCapital OneCisco SystemsEpicGoogleIBM Corp.JPMorgan ChaseMicrosoftNationwide InsuranceNorthrop GrummanRoot Insurance

Career outcomes

$113,161 median salary

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 3.00.

Accreditation & certifications

CPDA Certificate of Completion4 CEUs upon completion

Location advantage: Columbus tech ecosystem Access to Ohio Supercomputer Center

#3Case Western Reserve UniversityCleveland, OH

Why it stands out. 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 & institutes

  • Medical Robotics and Computer Integrated Surgery Laboratory — medical robotic systems for surgery and image-guided interventions

Industry partners

IBMCleveland Clinic

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)
#4University of Cincinnati-Main CampusCincinnati, OH

Why it stands out. 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 & institutes

  • Intelligent Robotics and Autonomous Systems Laboratory — AI applications in robotics
  • Center for Global Design and Manufacturing — AI applications in manufacturing

Industry partners

IntelNational Renewable Energy Laboratory (NREL)SiemensGE

Career outcomes

$110,000 median salary

Location advantage: Strong cooperative education program with industry partnerships Multiple colleges offering complementary programs in AI and analytics

#5Cleveland State UniversityCleveland, OH

Why it stands out. 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 & institutes

  • CSU T.E.C.H. Hub — Data science and artificial intelligence research
  • Center for Cybersecurity and Privacy Protection — Secure machine learning systems and cybersecurity
  • Center for Applied Data Analysis and Modeling — Statistical methods for big data and data analysis

Location advantage: Cleveland location provides access to industry partnerships Government and private industry collaboration opportunities

#6Miami University-OxfordOxford, OH

Why it stands out. 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

$117,591 median salary

Admissions

GPA 3.0.

Accreditation & certifications

ABET
#7Kent State University at KentKent, OH

Why it stands out. 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 & institutes

  • Cognitive Robotics and AI (CRAI) Lab — Cutting-edge cognitive robotics research, designing robot 'Mind' for seamless cooperation with humans
  • Green and Advanced Mobility Engineering (GAME) Lab — Data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques

Notable faculty

  • Arvind Bansal (Artificial Intelligence)

Admissions

GPA 3.000.

#8Ohio University-Main CampusAthens, OH

Why it stands out. 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 & institutes

  • Avionics Engineering Center — Navigation systems and avionics
  • Center for Scientific Computing and Immersive Technologies — Scientific computing and immersive technology research

Industry partners

IntelBoeingGoogle

Career outcomes

0

Top employers: Intel, Boeing, Google

Notable faculty

  • Dr. David W. Juedes (Artificial Intelligence and Computer Science)

Location advantage: Access to Silicon Valley startup culture preparation R1 Research University status Active sponsored research with industry and government agencies

#9Franklin UniversityColumbus, OH

Why it stands out. 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 & institutes

  • AI Lab — Artificial Intelligence Research
  • Machine Learning Lab — Machine Learning Research
  • Bioinformatics Lab — Computational Biology

Industry partners

IBMGoogle CloudDeepLearning.AICoursera CampusMicrosoft

Notable faculty

  • Dr. Kemal Aydin (Machine Learning, Unsupervised Learning, AI)

Accreditation & certifications

Higher Learning Commission AccreditedOhio Department of Higher Education Authorized

Location advantage: 100% online availability Flexible scheduling with multiple start dates throughout the year

#10Air Force Institute of Technology-Graduate School of Engineering & ManagementWright-Patterson AFB, OH

Why it stands out. 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 & institutes

  • Air Force Research Laboratory (AFRL) Information Directorate — Machine learning for sensor systems, autonomous decision-making, and signal processing

Industry partners

Air Force Research LaboratoryNorthrop GrummanLockheed Martin

Career outcomes

Top employers: Air Force Research Laboratory, Defense Intelligence Agency, National Reconnaissance Office, Northrop Grumman, Lockheed Martin

Location advantage: Wright-Patterson Air Force Base headquarters location provides direct access to AFRL researchers and facilities

Best Doctoral Machine Learning programs

#1Case Western Reserve UniversityCleveland, OH

Why it stands out. 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 & institutes

  • Medical Robotics and Computer Integrated Surgery Laboratory — medical robotic systems for surgery and image-guided interventions

Industry partners

IBMCleveland Clinic

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)
#2Air Force Institute of Technology-Graduate School of Engineering & ManagementWright-Patterson AFB, OH

Why it stands out. 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 & institutes

  • Air Force Research Laboratory (AFRL) Information Directorate — Machine learning for sensor systems, autonomous decision-making, and signal processing

Industry partners

Air Force Research LaboratoryNorthrop GrummanLockheed Martin

Career outcomes

Top employers: Air Force Research Laboratory, Defense Intelligence Agency, National Reconnaissance Office, Northrop Grumman, Lockheed Martin

Location advantage: Wright-Patterson Air Force Base headquarters location provides direct access to AFRL researchers and facilities

#3Kent State University at KentKent, OH

Why it stands out. 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 & institutes

  • Cognitive Robotics and AI (CRAI) Lab — Cutting-edge cognitive robotics research, designing robot 'Mind' for seamless cooperation with humans
  • Green and Advanced Mobility Engineering (GAME) Lab — Data-driven, intelligent decision-making systems for aviation based on artificial intelligence/machine learning, optimization, and operations research techniques

Notable faculty

  • Arvind Bansal (Artificial Intelligence)

Admissions

GPA 3.000.