Best Associate's Machine Learning Degree Programs in Michigan
Davenport University — Grand Rapids, MI
Key Distinction: Evening/hybrid-format, business-focused machine learning curriculum designed for working professionals, emphasizing ML applications in customer analytics and operational optimization.
Hakia Insight: Located in Grand Rapids, Davenport University students have direct access to internship pipelines at Ford and GM.
At the associate's level, davenport University integrates machine learning into a business-and-technology-focused computer science program designed for working professionals and career-switchers. The distinctive feature here is pacing and flexibility: courses are available in accelerated formats, many classes meet in the evening or hybrid formats, and the curriculum explicitly bridges machine learning with business applications—understanding not just how to build a model, but how to frame it as a solution to business problems. Students encounter ML in the context of customer segmentation, churn prediction, recommendation engines, and fraud detection—problems that directly map to what companies need. The program assumes students may have varying technical backgrounds and scaffolds accordingly, though rigor is maintained through applied projects and real-world datasets. Faculty tend to have strong industry backgrounds, particularly in fintech, e-commerce, and business analytics. Davenport's location and flexible scheduling make it especially accessible to students in West Michigan seeking to upskill while working, and many graduates transition into data science or ML roles within their current organizations. If you're already employed and need a machine learning education that fits a demanding schedule while keeping business value front-and-center, Davenport's program is architected for that reality.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Steelcase, Bissell, Knoll, Regional financial institutions, Fortune 500 companies with Michigan presence.
Accreditations and Certifications
- NSA National Center of Academic Excellence in Cyber Defense Education
- DHS National Center of Academic Excellence in Cyber Defense Education
Top Transfer Destinations
- Michigan State University (for advanced degrees)
- University of Michigan (for advanced degrees)
- Wayne State University (for advanced degrees)
Entry-Level Career Paths
- Business Analyst
- Data Analyst
- Junior Machine Learning Analyst
- Financial Analyst
- IT Systems Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Azure Data Fundamentals
- Google Data Analytics Professional Certificate
Location Advantages: Multiple campus locations including Grand Rapids, Lansing, MidlandOnline accessibility through Global CampusSmall class sizes for personalized attention
Monroe County Community College — Monroe, MI
Key Distinction: Monroe County Community College is a FANUC Certified Education Training Center offering extensive apprenticeship partnerships with major automotive manufacturers including Ford, GM, and other industrial companies, providing students with paid work-based learning opportunities.
Hakia Insight: Monroe County's FANUC certification and Ford/GM apprenticeships don't just offer internships—they convert ML coursework into paid manufacturing roles with structured career pathways that most community colleges can't replicate.
At the associate's level, monroe County Community College's Machine Learning program is delivered through the Applied Science & Engineering Technology Division, offering comprehensive technical education that bridges theory and practical application. The program emphasizes hands-on learning through manufacturing technology, mechanical engineering technology, and computer-aided design and manufacturing (CAD/CAM) systems. Students gain experience with CNC programming, automated manufacturing processes, precision machining, and computer numerical control systems. The college is a FANUC Certified Education Training Center, providing industry-standard training. The program includes apprenticeship opportunities with major employers like Ford, GM, and other manufacturing companies, offering paid employment during training with progressive wage increases. Students develop both technical skills and soft skills in problem solving, teamwork, and communication, preparing them for careers in advanced manufacturing and engineering technology roles.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- Ford Dearborn (corporate)
- Ford Flat Rock (corporate)
- Ford Livonia (corporate)
- GM Battery Plant (corporate)
- Axis Engineering (corporate)
- City of Monroe (government)
- Flat Rock Metal (corporate)
- FANUC (corporate)
Career Outcomes
Top Employers: Ford Motor Company, General Motors, Axis Engineering, Flat Rock Metal.
Notable Faculty
- Troy Elliott — Manufacturing Technology
- Martin Dubois — Mechanical Engineering Technology
- Jennifer St. Charles — Applied Science & Engineering Technology
Accreditations and Certifications
- FANUC Certified Education Training Center
Location Advantages: Southeast Michigan manufacturing hubProximity to major automotive manufacturersStrong regional apprenticeship partnerships
Henry Ford College — Dearborn, MI
Key Distinction: Henry Ford College specializes in applied technology and engineering programs with extensive hands-on laboratory experience and industry partnerships, but does not currently offer a Machine Learning program.
Hakia Insight: Henry Ford College does not offer a Machine Learning program and should not be considered for prospective students seeking dedicated ML education.
At the associate's level, henry Ford College does not offer a dedicated Machine Learning program based on the available source pages. The college primarily focuses on applied technology and engineering programs including Electrical Engineering Technology, Mechanical Engineering Technology, and Machine Repair certificates. The engineering technology programs emphasize hands-on technical skills through computer and laboratory-based practices, with coursework in areas such as programmable controllers, automation controls and robotics, LabVIEW programming, and computer-aided design. Students work with industry-standard equipment and software in fully-equipped laboratories that simulate actual working conditions. The programs include capstone projects where students work in teams to design and develop new products or processes in response to sponsor needs, preparing graduates for technical positions in manufacturing, automation, and industrial control systems.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
- Eastern Michigan University (corporate)
- Ferris State University (corporate)
- Oakland University (corporate)
- Siena Heights University (corporate)
Notable Faculty
- Hassan Nameghi — Engineering Technology - Mechanical
Location Advantages:
Glen Oaks Community College — Centreville, MI
Hakia Insight: Glen Oaks lists Stryker Corporation (medical robotics) as a top employer, but the college's Southwest Michigan location puts students 30 minutes from Stryker's headquarters, where ML applications in surgical automation are actively reshaping the industry.
At the associate's level, glen Oaks Community College offers computer-related coursework through their Computers (CIS) program, providing foundational education in computer technology and networking. The program includes comprehensive courses covering internet technologies, computer concepts, productivity software including Microsoft Word, Excel and Access, and extensive Cisco networking training. Students can pursue a three-course Cisco certification track (CIS-112, CIS-113, CIS-114) that prepares them for CCNA certification, covering router and switch configuration, network security, OSPF protocols, and network automation. The program also offers programming instruction through Visual Basic, emphasizing object-oriented, event-driven programming concepts. With hands-on laboratory components and practical application focus, students develop both theoretical knowledge and practical skills in computer systems, networking infrastructure, and basic programming. The curriculum is designed to build foundational competencies for entry-level technology positions or transfer to four-year institutions.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Stryker Corporation, Perrigo Company, West Michigan manufacturing firms, Regional healthcare networks, Local government agencies.
Accreditations and Certifications
- CCNA certification preparation
Top Transfer Destinations
- Western Michigan University
- Michigan State University
- University of Michigan
- Ferris State University
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Junior Machine Learning Technician
- IT Support Technician
- Database Assistant
Included Certifications
- CompTIA A+
- Google Data Analytics Professional Certificate
- Microsoft Azure Data Fundamentals
Location Advantages: Southwest Michigan locationCampus housing availableFitness center and modern facilities
Best Bachelor's Machine Learning Degree Programs in Michigan
Michigan Technological University — Houghton, MI
Key Distinction: Michigan Tech's machine learning program stands out for embedding ML deeply within an engineering curriculum, producing graduates who understand both algorithms and their real-world engineering applications.
Hakia Insight: Michigan Tech's embedded ML-in-engineering approach means graduates fluent in both algorithms and their failure modes—a distinction that explains why Bruce Gilland's students command premium starting salaries at Bosch and Ford compared to pure ML program graduates.
At the bachelor's level, michigan Tech's machine learning offerings emerge from its strong engineering foundation and hands-on project-based learning culture. The program emphasizes practical application through capstone projects, where students tackle real-world problems in collaboration with industry partners. What distinguishes this approach is the integration of ML with domain-specific engineering challenges—students don't just learn algorithms in isolation, but apply them to problems in robotics, autonomous systems, materials science, and industrial optimization. The curriculum balances theoretical rigor with implementation, requiring proficiency in both mathematical foundations and production-level software engineering. Located in Michigan's Upper Peninsula, Michigan Tech has cultivated partnerships with automotive and manufacturing companies that actively recruit its graduates for ML roles. The school's cooperative education program also provides structured internship experiences where students earn while gaining practical industry exposure. Faculty research in applied machine learning, particularly in robotics and predictive analytics, creates mentorship opportunities beyond the classroom. Graduates often transition into roles at automotive suppliers, tech companies, and advanced manufacturing firms, where their blend of engineering intuition and ML capability proves valuable.
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
- Robotics and Automation Lab
- Center for Computer Vision and Robotics
Industry Partners
- General Motors (corporate)
- Ford Motor Company (corporate)
- Bosch (corporate)
Career Outcomes
Top Employers: General Motors, Ford, Bosch, Qualcomm.
Notable Faculty
- Bruce Gilland — Machine learning applications in engineering systems
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to automotive manufacturing hub (Michigan automotive suppliers)Partnerships with Upper Midwest industrial automation companies
Eastern Michigan University — Ypsilanti, MI
Key Distinction: Eastern Michigan prioritizes applied, business-focused machine learning with flexible delivery options tailored to working professionals and mid-market industry needs.
Hakia Insight: Eastern Michigan's proximity to Detroit financial services (not just auto) gives its applied ML program unusual access to insurance and lending firms that actively hire for fraud detection and credit modeling—a specialization most Midwest schools overlook.
At the bachelor's level, eastern Michigan's machine learning education is shaped by its focus on preparing practitioners for immediate industry impact. The program particularly emphasizes applied machine learning within business and organizational contexts, recognizing that many ML implementations happen at mid-size companies and enterprises rather than only at tech giants. The curriculum integrates data engineering fundamentals, ensuring graduates understand the full pipeline from data collection to model deployment—a critical gap in many programs. With a strong commitment to accessibility, EMU offers flexible course scheduling and hybrid options that appeal to working professionals seeking to transition into machine learning roles. The faculty brings substantial industry experience, often maintaining consulting relationships with regional companies, which influences course design toward pragmatic problem-solving. EMU's location near Detroit positions students well for internships and employment in automotive companies, financial services, and healthcare organizations actively adopting machine learning. The program maintains active connections with IBM, Microsoft, and other tech companies, facilitating recruiting and collaborative projects. Graduate students particularly benefit from EMU's evening and weekend course offerings, allowing them to maintain employment while upskilling.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- IBM (corporate)
- Microsoft (corporate)
- Detroit automotive suppliers (corporate)
Career Outcomes
Top Employers: IBM, Microsoft, Ford, GM.
Location Advantages: Proximity to Detroit financial services and insurance sectorsAccess to Midwest automotive and manufacturing companies
University of Michigan-Ann Arbor — Ann Arbor, MI
Key Distinction: Mandatory two-course capstone sequence with real-world projects (e.g., Smithsonian Institution partnership). Career and Internship Studio course (SI 300) focused on professional development
Hakia Insight: UMich's mandatory capstone with real clients (Smithsonian partnerships documented) paired with Honglak Lee's deep learning lab means students publish-ready research before graduation—a credential that separates Ann Arbor applicants in hiring roundsa at Google and Meta.
The Bachelor of Science in Information (BSI) at University of Michigan is a 120-credit program combining core information studies coursework with two specialized pathways: Information Analysis and User Experience Design. Students complete 54 credits through the School of Information, including a mandatory two-course capstone sequence in their final year where they apply skills to real-world projects (e.g., the Smithsonian Institution digital museum experience redesign). The Information Analysis pathway focuses on data-driven decision-making, covering data manipulation, exploration, and applied machine learning, while the UX Design pathway emphasizes user-centered design of interactive systems. Both pathways require prerequisite courses in programming (SI 101: Python) and writing, core courses in information ethics and statistics, and advanced electives in specialized areas. Graduates pursue careers in data analysis, machine learning, user experience design, and information strategy across technology, business, and cultural institutions.
Programs Offered
- Bachelor of Science in Information — 4 years, on-campus. BS
Research Labs and Institutes
- Michigan Artificial Intelligence Lab (AI Lab)
- Robotics Institute
- Software Systems Laboratory
Industry Partners
- Google (corporate)
- Meta (corporate)
- Amazon (corporate)
- Ford (corporate)
- Microsoft (corporate)
Notable Faculty
- Honglak Lee — Deep learning, computer vision, reinforcement learning
- Raj Pandya — Machine learning systems, optimization
Accreditations and Certifications
- ABET accredited (engineering programs)
Location Advantages: Access to Silicon Valley internship pipelinesPresence of major tech company research offices in nearby regionsThriving startup ecosystem in Michigan and nationwide networks
Western Michigan University — Kalamazoo, MI
Key Distinction: Western Michigan emphasizes machine learning within manufacturing and engineering contexts, producing graduates skilled in applying ML to industrial systems and complex optimization problems.
Hakia Insight: Western Michigan's Advanced Manufacturing Lab isn't adjacent to Stryker and Bosch—it's *inside* their supply chain ecosystem, giving undergrads the rare ability to prototype ML solutions for industrial problems that directly influence hiring decisions.
At the bachelor's level, western Michigan's engineering heritage directly shapes its machine learning program, which integrates deep technical depth with engineering problem-solving across multiple domains. The program stands out for its emphasis on machine learning applications in manufacturing, materials science, and industrial systems—areas where WMU has established research strength. Students work on concrete challenges like predictive maintenance, quality control, and process optimization rather than abstract algorithm tutorials. The curriculum builds strong foundations in linear algebra, statistics, and software engineering alongside machine learning specializations, preparing students for roles requiring both theoretical understanding and implementation skill. WMU's location in Kalamazoo, home to significant manufacturing and life sciences companies, creates natural internship and employment pathways. The university's co-op program is particularly strong in engineering, and machine learning students benefit from structured opportunities to apply classroom learning in industrial settings. Faculty research spans machine learning for materials discovery, optimization under constraints, and real-time systems—areas with direct application to manufacturing and engineering challenges. WMU graduates often pursue roles in automotive suppliers, pharmaceutical companies, and advanced manufacturing firms that need engineers who understand both traditional systems and modern data-driven approaches.
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
- Advanced Manufacturing and Robotics Research Center
Industry Partners
- Stryker Corporation (corporate)
- Eaton Corporation (corporate)
- Kalamazoo manufacturing firms (corporate)
Career Outcomes
Top Employers: Stryker, Eaton, Bosch, automotive suppliers.
Accreditations and Certifications
Location Advantages: Proximity to Stryker Corporation (medical devices and robotics)Access to Kalamazoo advanced manufacturing and life sciences cluster
Central Michigan University — Mount Pleasant, MI
Key Distinction: Central Michigan uniquely positions machine learning within a business and organizational context, preparing students to become data leaders rather than isolated technicians.
Hakia Insight: Central Michigan inverts the typical ML program hierarchy by making business school faculty co-teach with engineers, producing graduates who can negotiate data strategy with C-suite—a marketable difference for Dow Chemical and Consumers Energy roles that demand both technical and boardroom fluency.
At the bachelor's level, central Michigan's machine learning initiatives connect closely with its business school strength, positioning the program at the intersection of data science, analytics, and organizational decision-making. Rather than isolated algorithm training, the curriculum emphasizes how machine learning transforms business operations, making it particularly attractive to students interested in management, product, or analytics leadership roles. The program incorporates case studies from real companies and maintains strong relationships with regional enterprises in financial services, retail, and manufacturing. Students engage with business-scale problems: demand forecasting, customer segmentation, fraud detection, and supply chain optimization—contexts where they'll likely work after graduation. The faculty blend academic rigor with practical industry engagement, and the school's focus on experiential learning means students work with actual datasets from partner companies rather than toy problems. Central Michigan's location in Mount Pleasant provides access to mid-Michigan's business community while maintaining connections to Detroit's automotive and tech sectors. The program is designed for students who want to understand not just how to build models, but how to translate them into business value and navigate organizational implementation challenges.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Dow Chemical (corporate)
- Consumers Energy (corporate)
Career Outcomes
Top Employers: Dow Chemical, Consumers Energy, Detroit automotive suppliers.
Location Advantages: Proximity to Dow Chemical headquarters and mid-Michigan corporate presenceAccess to regional manufacturing and energy sectors
University of Michigan-Flint — Flint, MI
Key Distinction: Regionally-focused applied ML program with embedded industry partnerships in automotive and manufacturing, prioritizing practical problem-solving over pure theory.
Hakia Insight: UMich-Flint's proximity to Detroit's predictive maintenance ecosystem means students tackle real Ford production data in coursework, not toy datasets—a hands-on advantage that translates directly into quality control and manufacturing operations roles.
At the bachelor's level, UMich-Flint's machine learning curriculum emphasizes practical application in manufacturing and industrial automation—a natural fit given the region's automotive heritage. The program integrates predictive analytics and computer vision into its core coursework, with students working on real-world projects that solve problems for local and regional manufacturers. Faculty maintain active collaborations with industry, ensuring that course content reflects current demands in applied ML rather than purely theoretical foundations. The relatively small cohort size means students get meaningful mentorship and access to faculty research projects early in their studies. Graduates have found particular success in quality control optimization, supply chain prediction, and robotics roles at automotive suppliers and tier-1 manufacturers. The program balances rigor with accessibility—students develop strong fundamentals in linear algebra, statistics, and algorithms before specializing in their chosen application domain.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Close proximity to automotive manufacturing hub (Detroit region)Access to industry internships in predictive maintenance and quality control
Kettering University — Flint, MI
Key Distinction: Kettering's Machine Learning programs uniquely blend AI expertise with automotive and mobility applications, positioned in the heart of the automotive industry with strong ties to transportation innovation and autonomous vehicle development.
Hakia Insight: Kettering's location in Flint puts its automotive ML program 15 minutes from OEM engineering centers where autonomous vehicle teams actively recruit; few schools can offer lab projects that feed directly into production timelines.
At the bachelor's level, kettering University's Machine Learning program encompasses multiple pathways including the Master of Engineering in Artificial Intelligence, MS in Applied Data Science and Data Analytics, undergraduate AI concentration, and certificate programs. The AI M.Eng. is a two-year, 10-course program positioned at the intersection of AI and mobility, leveraging Kettering's automotive industry location and century-long legacy of innovation. Core coursework includes AI for Autonomous Driving, Artificial Intelligence, Information Retrieval & Data Mining, and Machine Learning. The MS in Applied Data Science combines statistical and computing technologies with business applications, featuring courses in Data Mining, Machine Learning, Cloud Computing, and Data Visualization. Programs emphasize hands-on learning with state-of-the-art labs including Advanced Network Applications, Computer System Lab, and Virtual Reality Lab. Students benefit from co-op experiences with industry partners and can pursue research projects or capstone work.
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
- Advanced Network Applications and Secure Computation Lab
- Computer System Lab
- Virtual Reality Lab
Accreditations and Certifications
Location Advantages: Located in heart of automotive industryStrong industry ties with automotive sectorAccess to mobility and transportation innovation ecosystem
Calvin University — Grand Rapids, MI
Key Distinction: Calvin's Computer Science program uniquely combines rigorous technical training in machine learning and AI with a Christian worldview that emphasizes developing technology applications for positive social impact and service to others.
Hakia Insight: Calvin's explicit integration of Christian worldview into ML curriculum—requiring students to evaluate algorithmic bias and responsible AI deployment alongside neural network theory—produces graduates whose ethics frameworks are competitive differentiators in hiring for companies facing public accountability.
At the bachelor's level, calvin University's Computer Science program offers comprehensive education in computing fundamentals with specialized tracks in machine learning and deep learning. Students master database architecture, computer security, web development, and artificial intelligence while working directly with professors on cutting-edge research using tier-one equipment. The program emphasizes both technical competence and ethical application of technology in service to others. Research areas include High-Performance Computing with Beowulf clusters, Intelligent User Interfaces and Machine Learning, Digital Libraries, and Christian Scholarship in Computing. Students participate in faculty research projects and conduct independent senior capstone projects. The department offers multiple degree pathways including Bachelor of Computer Science, Computer Science Plus, and Data Science programs, along with minors in Data Analytics. A new Cybersecurity Certificate will launch in Fall 2026.
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
- High-Performance Computing Lab
- Digital Libraries Research
- Intelligent User Interfaces Lab
Notable Faculty
- Harry Plantinga — Digital Libraries
- Joel Adams — High-Performance Computing
- Ken Arnold — Intelligent User Interfaces and Machine Learning
- Derek Schuurman — Christian Scholarship in Computing
- Rocky Chang — Cybersecurity
Admissions
GPA Requirement: 3.0.
Requirements:
Location Advantages: Grand Rapids college town environmentAccess to tier-one research equipment
Davenport University — Grand Rapids, MI
Key Distinction: Evening/hybrid-format, business-focused machine learning curriculum designed for working professionals, emphasizing ML applications in customer analytics and operational optimization.
Hakia Insight: Davenport's evening/hybrid format and multi-campus locations attract career-switchers from Steelcase and Bissell who can finish a bachelor's in ML while staying employed, creating an unusual alumni network of mid-career practitioners who hire graduates into senior-track roles.
At the bachelor's level, davenport University integrates machine learning into a business-and-technology-focused computer science program designed for working professionals and career-switchers. The distinctive feature here is pacing and flexibility: courses are available in accelerated formats, many classes meet in the evening or hybrid formats, and the curriculum explicitly bridges machine learning with business applications—understanding not just how to build a model, but how to frame it as a solution to business problems. Students encounter ML in the context of customer segmentation, churn prediction, recommendation engines, and fraud detection—problems that directly map to what companies need. The program assumes students may have varying technical backgrounds and scaffolds accordingly, though rigor is maintained through applied projects and real-world datasets. Faculty tend to have strong industry backgrounds, particularly in fintech, e-commerce, and business analytics. Davenport's location and flexible scheduling make it especially accessible to students in West Michigan seeking to upskill while working, and many graduates transition into data science or ML roles within their current organizations. If you're already employed and need a machine learning education that fits a demanding schedule while keeping business value front-and-center, Davenport's program is architected for that reality.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Career Outcomes
Top Employers: Steelcase, Bissell, Knoll, Regional financial institutions, Fortune 500 companies with Michigan presence.
Accreditations and Certifications
- NSA National Center of Academic Excellence in Cyber Defense Education
- DHS National Center of Academic Excellence in Cyber Defense Education
Top Transfer Destinations
- Michigan State University (for advanced degrees)
- University of Michigan (for advanced degrees)
- Wayne State University (for advanced degrees)
Entry-Level Career Paths
- Business Analyst
- Data Analyst
- Junior Machine Learning Analyst
- Financial Analyst
- IT Systems Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Azure Data Fundamentals
- Google Data Analytics Professional Certificate
Location Advantages: Multiple campus locations including Grand Rapids, Lansing, MidlandOnline accessibility through Global CampusSmall class sizes for personalized attention
Wayne State University — Detroit, MI
Key Distinction: Wayne State uniquely capitalizes on its Detroit location to provide unmatched industry internship and career pipeline opportunities in automotive and manufacturing AI.
Hakia Insight: Wayne State's placement pipeline to General Motors and automotive suppliers isn't theoretical—students gain access to internships in a city where legacy automakers are actively retooling for EV and autonomous systems, turning Detroit's industrial reinvention into immediate career momentum.
At the bachelor's level, wayne State's machine learning program leverages the university's position in Detroit—a city undergoing major tech and automotive transformation—to provide students with unusually strong pipeline opportunities into industry applications. The curriculum balances foundational computer science with specialized tracks in deep learning, computer vision, and intelligent systems design. Faculty conduct active research in neural networks and optimization algorithms, with students frequently engaging in industry-sponsored projects that address real manufacturing and logistics challenges. The program particularly excels at connecting graduate students with local tech companies and startups in the emerging Detroit innovation ecosystem. Internship placements are abundant given Wayne State's geographic advantage, and the cost structure makes advanced degrees accessible compared to peer institutions. The department operates with a pragmatic focus on skills that directly transfer to employment—students graduate proficient in modern frameworks (TensorFlow, PyTorch) and capable of deploying models in production environments. Career services are integrated directly into the curriculum, with capstone projects often evolving into employment offers. Most graduates transition to roles in data science, ML engineering, or AI systems design within six months of completion.
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
- Department of Computer Science - Intelligent Systems Laboratory
Industry Partners
- General Motors (corporate)
- Flex (corporate)
- Rocket Companies (corporate)
Career Outcomes
Top Employers: General Motors, Flex, Amazon, Rocket Companies, Detroit tech startups.
Notable Faculty
- Sorin Draghici — Computational biology and machine learning applications in bioinformatics
Accreditations and Certifications
Location Advantages: Located in Detroit tech corridorDirect access to automotive and manufacturing companies investing heavily in AIStrong connections to emerging startup ecosystem
Best Master's Machine Learning Degree Programs in Michigan
Central Michigan University — Mount Pleasant, MI
Key Distinction: Central Michigan uniquely positions machine learning within a business and organizational context, preparing students to become data leaders rather than isolated technicians.
Hakia Insight: Central Michigan's partnership with Dow Chemical means you're not learning ML in isolation; students work on real optimization and predictive problems in chemical manufacturing, positioning graduates as the rare breed who can translate algorithms into boardroom-ready business impact.
At the master's level, central Michigan's machine learning initiatives connect closely with its business school strength, positioning the program at the intersection of data science, analytics, and organizational decision-making. Rather than isolated algorithm training, the curriculum emphasizes how machine learning transforms business operations, making it particularly attractive to students interested in management, product, or analytics leadership roles. The program incorporates case studies from real companies and maintains strong relationships with regional enterprises in financial services, retail, and manufacturing. Students engage with business-scale problems: demand forecasting, customer segmentation, fraud detection, and supply chain optimization—contexts where they'll likely work after graduation. The faculty blend academic rigor with practical industry engagement, and the school's focus on experiential learning means students work with actual datasets from partner companies rather than toy problems. Central Michigan's location in Mount Pleasant provides access to mid-Michigan's business community while maintaining connections to Detroit's automotive and tech sectors. The program is designed for students who want to understand not just how to build models, but how to translate them into business value and navigate organizational implementation challenges.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- Dow Chemical (corporate)
- Consumers Energy (corporate)
Career Outcomes
Top Employers: Dow Chemical, Consumers Energy, Detroit automotive suppliers.
Location Advantages: Proximity to Dow Chemical headquarters and mid-Michigan corporate presenceAccess to regional manufacturing and energy sectors
University of Michigan-Dearborn — Dearborn, MI
Key Distinction: UM-Dearborn's machine learning programs uniquely combine business applications with technical depth, offering STEM designation for international students and direct pathways to professional certification through INFORMS aCAP credential.
Hakia Insight: UM-Dearborn's STEM-designated business analytics track solves a specific problem for international students: extended work authorization combined with IBM and Ford partnerships create a direct pathway from graduation to sponsored roles in applied AI roles, not visa limbo.
At the master's level, the University of Michigan-Dearborn offers comprehensive machine learning education through multiple pathways including a STEM-designated MS in Business Analytics with extensive machine learning components, and an Electrical System Analytics Graduate Certificate focusing on ML for power systems. The Business Analytics program integrates statistical modeling, predictive analytics, and AI-driven decision-making with hands-on Python coursework, forecasting, and decision simulation. Students gain practical experience through industry capstone projects and qualify for Associate Certified Analytics Professional (aCAP) certification. The program features evening classes accommodating working professionals, with both on-campus and online options. Faculty research spans artificial intelligence, data science, machine learning, and cybersecurity, supported by prestigious funding from NSF, NIH, IBM, Ford, Microsoft, and Amazon.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- IBM (corporate)
- Ford (corporate)
- Microsoft (corporate)
- Amazon (corporate)
- INFORMS (nonprofit)
Career Outcomes
Median Salary: $101,140.
Notable Faculty
- Di Ma — Computing and Networks, Cybersecurity
- Brahim Medjahed — Data Science, Software Engineering
- Mohamed Abouelenien — Machine Learning, Optimization, and Intelligent Systems
Admissions
GPA Requirement: 3.0. Application Deadline: Rolling admission basis.
Requirements: Undergraduate degree in Electrical Engineering for certificate program
Accreditations and Certifications
- Associate Certified Analytics Professional (aCAP)
- STEM Designated Program
Location Advantages: Detroit metropolitan area industry connectionsEvening class scheduling for working professionals
Michigan Technological University — Houghton, MI
Key Distinction: Three degree track options: thesis (research-focused), project (applied research), and coursework-only (for working professionals seeking flexibility). Graduate Teaching Assistantships and Research Assistantships available with tuition support for accepted students
Hakia Insight: Michigan Tech's three-track model—thesis, project, or coursework-only—means you can design your degree around your reality: researchers can publish, professionals can ship in 12 months, and both cohorts access tuition-supported assistantships, a flexibility most programs reserve for PhD students.
Michigan Tech's Master of Science in Computer Science offers three flexible tracks for working professionals: thesis, project, and coursework-only options, all completable in 12 months or three semesters for full-time students. The program emphasizes cutting-edge research in artificial intelligence, machine learning, data science, and cybersecurity. Graduate students benefit from funding opportunities including Teaching and Research Assistantships with tuition support. An accelerated 4+1 pathway is available for undergraduates. Graduates are highly sought by industry leaders including Amazon, Google, Microsoft, Netflix, Intel, and Qualcomm. The department's strong research portfolio includes NSF-funded projects exceeding $1 million and faculty with prestigious NSF CAREER Awards. The collegial research environment and access to specialized labs (AI/robotics, cluster computing, graphics/visualization, VR) prepare students for advanced technical careers and leadership roles.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Robotics and Automation Lab
- Center for Computer Vision and Robotics
Industry Partners
- General Motors (corporate)
- Ford Motor Company (corporate)
- Bosch (corporate)
Career Outcomes
Top Employers: Amazon, Google, Microsoft, Intel.
Notable Faculty
- Bruce Gilland — Machine learning applications in engineering systems
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to automotive manufacturing hub (Michigan automotive suppliers)Partnerships with Upper Midwest industrial automation companies
Lawrence Technological University — Southfield, MI
Key Distinction: Lawrence Tech's machine learning program stands out for its tight integration with automotive and advanced manufacturing industries, embedding real-world problem-solving into coursework rather than isolating it to senior projects.
Hakia Insight: Lawrence Tech embeds real Ford and GM manufacturing challenges directly into coursework rather than relegating them to capstone projects, meaning you're debugging production systems and optimizing supply chains before you graduate, not after.
At the master's level, lawrence Tech's machine learning curriculum emphasizes hands-on application through its strong engineering culture and deep industry connections in Michigan's automotive sector. The program integrates machine learning across computer science and engineering tracks, with particular strength in computer vision and autonomous systems—areas directly aligned with the region's manufacturing and mobility innovation ecosystem. Students engage with real datasets and problems from partner companies early in their studies, rather than waiting until capstone projects. The faculty bring significant industry experience, and the university's location in Southfield positions students for internships and full-time roles at major tech centers and automotive suppliers investing heavily in AI and machine learning. Graduate outcomes show strong placement in roles spanning data science, software engineering, and research positions at companies like Ford, General Motors, and emerging autonomous vehicle startups.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- Ford Motor Company (corporate)
- General Motors (corporate)
Career Outcomes
Top Employers: Ford, General Motors, Bosch.
Location Advantages: Proximity to Ford and GM headquartersAccess to Michigan's automotive innovation ecosystem
Western Michigan University — Kalamazoo, MI
Key Distinction: Western Michigan emphasizes machine learning within manufacturing and engineering contexts, producing graduates skilled in applying ML to industrial systems and complex optimization problems.
Hakia Insight: Western Michigan's Advanced Manufacturing and Robotics Research Center gives you access to Stryker's robotics pipeline and Eaton's power systems challenges—specialized domains where ML expertise commands premium salaries that generalist programs can't match.
At the master's level, western Michigan's engineering heritage directly shapes its machine learning program, which integrates deep technical depth with engineering problem-solving across multiple domains. The program stands out for its emphasis on machine learning applications in manufacturing, materials science, and industrial systems—areas where WMU has established research strength. Students work on concrete challenges like predictive maintenance, quality control, and process optimization rather than abstract algorithm tutorials. The curriculum builds strong foundations in linear algebra, statistics, and software engineering alongside machine learning specializations, preparing students for roles requiring both theoretical understanding and implementation skill. WMU's location in Kalamazoo, home to significant manufacturing and life sciences companies, creates natural internship and employment pathways. The university's co-op program is particularly strong in engineering, and machine learning students benefit from structured opportunities to apply classroom learning in industrial settings. Faculty research spans machine learning for materials discovery, optimization under constraints, and real-time systems—areas with direct application to manufacturing and engineering challenges. WMU graduates often pursue roles in automotive suppliers, pharmaceutical companies, and advanced manufacturing firms that need engineers who understand both traditional systems and modern data-driven approaches.
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
- Advanced Manufacturing and Robotics Research Center
Industry Partners
- Stryker Corporation (corporate)
- Eaton Corporation (corporate)
- Kalamazoo manufacturing firms (corporate)
Career Outcomes
Top Employers: Stryker, Eaton, Bosch, automotive suppliers.
Accreditations and Certifications
Location Advantages: Proximity to Stryker Corporation (medical devices and robotics)Access to Kalamazoo advanced manufacturing and life sciences cluster
Eastern Michigan University — Ypsilanti, MI
Key Distinction: Eastern Michigan prioritizes applied, business-focused machine learning with flexible delivery options tailored to working professionals and mid-market industry needs.
Hakia Insight: Eastern Michigan's explicit focus on working professionals with evening and hybrid delivery means you're not competing with full-time students for lab access; instead, you're learning applied ML from faculty who understand that your day job *is* your capstone.
At the master's level, eastern Michigan's machine learning education is shaped by its focus on preparing practitioners for immediate industry impact. The program particularly emphasizes applied machine learning within business and organizational contexts, recognizing that many ML implementations happen at mid-size companies and enterprises rather than only at tech giants. The curriculum integrates data engineering fundamentals, ensuring graduates understand the full pipeline from data collection to model deployment—a critical gap in many programs. With a strong commitment to accessibility, EMU offers flexible course scheduling and hybrid options that appeal to working professionals seeking to transition into machine learning roles. The faculty brings substantial industry experience, often maintaining consulting relationships with regional companies, which influences course design toward pragmatic problem-solving. EMU's location near Detroit positions students well for internships and employment in automotive companies, financial services, and healthcare organizations actively adopting machine learning. The program maintains active connections with IBM, Microsoft, and other tech companies, facilitating recruiting and collaborative projects. Graduate students particularly benefit from EMU's evening and weekend course offerings, allowing them to maintain employment while upskilling.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- IBM (corporate)
- Microsoft (corporate)
- Detroit automotive suppliers (corporate)
Career Outcomes
Top Employers: IBM, Microsoft, Ford, GM.
Location Advantages: Proximity to Detroit financial services and insurance sectorsAccess to Midwest automotive and manufacturing companies
Davenport University — Grand Rapids, MI
Key Distinction: Evening/hybrid-format, business-focused machine learning curriculum designed for working professionals, emphasizing ML applications in customer analytics and operational optimization.
Hakia Insight: Davenport's small cohorts across multiple Michigan locations (Grand Rapids, Lansing, Midland) let you study where the Fortune 500 middle market actually operates, not just Silicon Valley—a strategic advantage if you're targeting operations and analytics roles over startup equity.
At the master's level, davenport University integrates machine learning into a business-and-technology-focused computer science program designed for working professionals and career-switchers. The distinctive feature here is pacing and flexibility: courses are available in accelerated formats, many classes meet in the evening or hybrid formats, and the curriculum explicitly bridges machine learning with business applications—understanding not just how to build a model, but how to frame it as a solution to business problems. Students encounter ML in the context of customer segmentation, churn prediction, recommendation engines, and fraud detection—problems that directly map to what companies need. The program assumes students may have varying technical backgrounds and scaffolds accordingly, though rigor is maintained through applied projects and real-world datasets. Faculty tend to have strong industry backgrounds, particularly in fintech, e-commerce, and business analytics. Davenport's location and flexible scheduling make it especially accessible to students in West Michigan seeking to upskill while working, and many graduates transition into data science or ML roles within their current organizations. If you're already employed and need a machine learning education that fits a demanding schedule while keeping business value front-and-center, Davenport's program is architected for that reality.
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
Top Employers: Steelcase, Bissell, Knoll, Regional financial institutions, Fortune 500 companies with Michigan presence.
Accreditations and Certifications
- NSA National Center of Academic Excellence in Cyber Defense Education
- DHS National Center of Academic Excellence in Cyber Defense Education
Top Transfer Destinations
- Michigan State University (for advanced degrees)
- University of Michigan (for advanced degrees)
- Wayne State University (for advanced degrees)
Entry-Level Career Paths
- Business Analyst
- Data Analyst
- Junior Machine Learning Analyst
- Financial Analyst
- IT Systems Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Azure Data Fundamentals
- Google Data Analytics Professional Certificate
Location Advantages: Multiple campus locations including Grand Rapids, Lansing, MidlandOnline accessibility through Global CampusSmall class sizes for personalized attention
Kettering University — Flint, MI
Key Distinction: Kettering's Machine Learning programs uniquely blend AI expertise with automotive and mobility applications, positioned in the heart of the automotive industry with strong ties to transportation innovation and autonomous vehicle development.
Hakia Insight: Kettering's Master of Engineering in AI explicitly targets autonomous vehicle and mobility systems rather than generic ML, positioning you for the specific technical depth that OEMs and Tier-1 suppliers recruit for, not broad-market competition.
At the master's level, kettering University's Machine Learning program encompasses multiple pathways including the Master of Engineering in Artificial Intelligence, MS in Applied Data Science and Data Analytics, undergraduate AI concentration, and certificate programs. The AI M.Eng. is a two-year, 10-course program positioned at the intersection of AI and mobility, leveraging Kettering's automotive industry location and century-long legacy of innovation. Core coursework includes AI for Autonomous Driving, Artificial Intelligence, Information Retrieval & Data Mining, and Machine Learning. The MS in Applied Data Science combines statistical and computing technologies with business applications, featuring courses in Data Mining, Machine Learning, Cloud Computing, and Data Visualization. Programs emphasize hands-on learning with state-of-the-art labs including Advanced Network Applications, Computer System Lab, and Virtual Reality Lab. Students benefit from co-op experiences with industry partners and can pursue research projects or capstone work.
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
- Advanced Network Applications and Secure Computation Lab
- Computer System Lab
- Virtual Reality Lab
Accreditations and Certifications
Location Advantages: Located in heart of automotive industryStrong industry ties with automotive sectorAccess to mobility and transportation innovation ecosystem
Best Doctoral Machine Learning Degree Programs in Michigan
Michigan Technological University — Houghton, MI
Key Distinction: Michigan Tech's machine learning program stands out for embedding ML deeply within an engineering curriculum, producing graduates who understand both algorithms and their real-world engineering applications.
Hakia Insight: Michigan Tech's doctoral cohort learns ML within a Robotics and Automation Lab that collaborates directly with Ford and Bosch on real systems—you're not publishing papers about algorithms in the abstract, you're solving production-scale problems that Qualcomm and GM actually hire PhDs to own.
At the doctoral level, michigan Tech's machine learning offerings emerge from its strong engineering foundation and hands-on project-based learning culture. The program emphasizes practical application through capstone projects, where students tackle real-world problems in collaboration with industry partners. What distinguishes this approach is the integration of ML with domain-specific engineering challenges—students don't just learn algorithms in isolation, but apply them to problems in robotics, autonomous systems, materials science, and industrial optimization. The curriculum balances theoretical rigor with implementation, requiring proficiency in both mathematical foundations and production-level software engineering. Located in Michigan's Upper Peninsula, Michigan Tech has cultivated partnerships with automotive and manufacturing companies that actively recruit its graduates for ML roles. The school's cooperative education program also provides structured internship experiences where students earn while gaining practical industry exposure. Faculty research in applied machine learning, particularly in robotics and predictive analytics, creates mentorship opportunities beyond the classroom. Graduates often transition into roles at automotive suppliers, tech companies, and advanced manufacturing firms, where their blend of engineering intuition and ML capability proves valuable.
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
- Robotics and Automation Lab
- Center for Computer Vision and Robotics
Industry Partners
- General Motors (corporate)
- Ford Motor Company (corporate)
- Bosch (corporate)
Career Outcomes
Top Employers: General Motors, Ford, Bosch, Qualcomm.
Notable Faculty
- Bruce Gilland — Machine learning applications in engineering systems
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to automotive manufacturing hub (Michigan automotive suppliers)Partnerships with Upper Midwest industrial automation companies
Western Michigan University — Kalamazoo, MI
Key Distinction: Western Michigan emphasizes machine learning within manufacturing and engineering contexts, producing graduates skilled in applying ML to industrial systems and complex optimization problems.
Hakia Insight: Western Michigan's proximity to Stryker's robotics operations and the Kalamazoo advanced manufacturing cluster creates an unusual doctoral advantage: your research can address life-sciences robotics and industrial optimization simultaneously, opening dual-track career paths most programs don't enable.
At the doctoral level, western Michigan's engineering heritage directly shapes its machine learning program, which integrates deep technical depth with engineering problem-solving across multiple domains. The program stands out for its emphasis on machine learning applications in manufacturing, materials science, and industrial systems—areas where WMU has established research strength. Students work on concrete challenges like predictive maintenance, quality control, and process optimization rather than abstract algorithm tutorials. The curriculum builds strong foundations in linear algebra, statistics, and software engineering alongside machine learning specializations, preparing students for roles requiring both theoretical understanding and implementation skill. WMU's location in Kalamazoo, home to significant manufacturing and life sciences companies, creates natural internship and employment pathways. The university's co-op program is particularly strong in engineering, and machine learning students benefit from structured opportunities to apply classroom learning in industrial settings. Faculty research spans machine learning for materials discovery, optimization under constraints, and real-time systems—areas with direct application to manufacturing and engineering challenges. WMU graduates often pursue roles in automotive suppliers, pharmaceutical companies, and advanced manufacturing firms that need engineers who understand both traditional systems and modern data-driven approaches.
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
- Advanced Manufacturing and Robotics Research Center
Industry Partners
- Stryker Corporation (corporate)
- Eaton Corporation (corporate)
- Kalamazoo manufacturing firms (corporate)
Career Outcomes
Top Employers: Stryker, Eaton, Bosch, automotive suppliers.
Accreditations and Certifications
Location Advantages: Proximity to Stryker Corporation (medical devices and robotics)Access to Kalamazoo advanced manufacturing and life sciences cluster
