Master of science in artificial intelligence
Build confidence in tomorrow’s technology with a master of science in artificial intelligence from Wayne State University.
This rigorous program develops your creativity, problem-solving, algorithmic design, and programming skills to build, maintain, and reimagine AI systems. It prepares engineers, consultants, Ph.D. candidates, and entrepreneurs with a competitive edge and a drive for growth.
Program highlights
- Three major options to suit your career goals: AI hardware and systems, AI algorithm and systems or Industrial AI
- Thesis or non-thesis track
- Innovate the latest technology with our professors
- No GRE required for admission
What will you learn in the artificial intelligence program?
The AI field evolves nearly every day. As you study, it will grow: you’ll join the forefront of thinkers and technical experts creating machines that can learn, make decisions, reason about data and communicate with humans.
At Wayne State, you will develop fundamental skills in natural language processing, computer vision, machine learning and deep learning. You’ll then build out your expertise with specialized practice and knowledge to succeed in the domains where the burgeoning technologies of artificial intelligence will be most crucial: transportation, mobility, manufacturing, health care, retail, aerospace, automotive and logistics.
Curriculum
Complete the 30-credit artificial intelligence program curriculum with a 6-credit master’s thesis (Plan A) or solely coursework (Plan C). The foundation of your master’s degree includes 9 credits within your chosen major and 3 credits (1 course) from each of the other two majors. You will then further hone your studies in a variety of electives, primarily within your concentration.
We recommend choosing Plan A if you intend to pursue a doctoral degree after graduation.
Learn more about the master’s in artificial intelligence thesis timeline.
Three majors to build your specialized skills
Targeted subject knowledge in the burgeoning field of AI can help you distinguish yourself to employers. Three majors to choose from:
AI hardware and systems
Format: Traditional
Department: Electrical and Computer Engineering(ECE)
Gain expertise in machine learning and intelligent systems through courses in:
- Natural language processing
- Deep learning
- Computer vision
- Online and adaptive learning
- Electives in circuits, networks, and signal processing
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AI algorithm and systems
Format: Traditional
Department: Computer Science (CSC)
Explore machine learning and deep learning applications in:
- Mobility
- Cybersecurity
- Game programming and design
- Intelligent systems
- Computer graphics
- Database management
- Data mining
Review the M.S. artificial intelligence (AI algorithm and systems) curriculum
Industrial AI
Format: Traditional
Department: Industrial and Systems Engineering (ISE)
Build the skills needed to address complex challenges in modern industry through coursework in:
- Statistical learning
- Intelligent analytics
- Operations research
- Digital automation
- Manufacturing analytics
- Knowledge-based design
- Large-scale optimization
Review M.S. artificial intelligence (industrial AI) curriculum
Careers with a master’s degree in artificial intelligence
Few fields are advancing as rapidly as artificial intelligence, creating growing demand for professionals with specialized expertise in intelligent technologies. The Master of Science in Artificial Intelligence prepares graduates to contribute to a wide range of industries where AI is driving innovation, automation, and data-informed decision-making.
With expertise in areas such as AI hardware and systems, AI algorithms and systems, and industrial AI, graduates are prepared for careers across engineering, computer science, research, and technology-focused fields.
Tuition and financial aid
WSU is one of Michigan’s most affordable top-tier research institutions. You’ll benefit from financial aid, scholarships, and on-campus employment opportunities that help offset tuition costs and provide valuable professional experience.
Learn more about tuition, fees, and financial resources
Admission requirements
To qualify for admission, you must hold a bachelor’s or the equivalent in a STEM discipline, with a minimum GPA of 2.75 (2.5 to 2.74 for qualified admission) from an accredited college or university. We will also consider any professional experience you include in your application.
Entrance into the artificial intelligence program is contingent upon admission to the Graduate School, College of Engineering and department within the college — ECE, CS or IE, depending on your concentration.
Additional admission requirements:
- You do not need to provide supplemental admission documents; however, you may choose to submit letters of recommendation, a statement of purpose or professional resume/CV.
- If you earned your degree from a country where English is not the native language, you must demonstrate English proficiency via a qualified examination. We accept a minimum score of 79 from the internet-based TOEFL (iBT) or 550 from a paper-based TOEFL (pBT), an IELTS score of 6.5 or an overall Duolingo score of 125.
- International applicants are required to submit an official course-by-course transcript evaluation that will serve as your official transcript. Accepted evaluation services include WES, ECE or SpanTran. Your official transcript evaluation must be transmitted directly from the evaluating agency to the WSU Office of Graduate Admissions.
Application fee
Application fee: $50
The application fee is waived for applicants applying for Winter 2026 and Fall 2026 entry terms.
Deadlines
Applications are reviewed up to the start of each semester. International students are encouraged to apply three to six months in advance to allow time for visa processing.
