Academic Catalog

Artificial Intelligence (M.S. with a major in AI Software and Systems)

Artificial Intelligence (AI) is an area of study that explores how to endow machines with the ability to learn, make decisions, reason about data, and communicate with humans. In the Wayne State University’s Master of Science in Artificial Intelligence (MSAI) program, students learn to apply problem-solving, creative thinking, algorithmic design, and computer programming skills to build modern AI systems.

Students will gain deep technical training and expertise in a selected concentration area, which include AI Hardware and Systems, AI Algorithm and Systems, and Industrial AI. The program prepares students to (1) work as engineers, consults and entrepreneurs in industries where AI can provide a competitive edge, or (2) pursue a Ph.D. degree in computer science, electrical engineering, industrial and systems engineering, or other related fields.

Applicants must meet requirements for admission to the Graduate School. Students must have a bachelor’s degree or the equivalent in Engineering from an accredited college or university. Students from all science, technology, engineering, and math (STEM) disciplines will be considered for admission.

The proposed program requires 30 credits for graduation, either Plan A (24 credits of coursework plus 6 credits of master’s thesis) or Plan C (30 credits of coursework).  All courses must be graduate-level courses offered within the College of Engineering. All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering.

A minimum grade point average of 3.00 for the MSAI program is required to obtain the master's degree. A maximum of one course in which a C has been received may be used to meet graduation requirements, provided this is offset by sufficient A grades to maintain the required 3.00 average.

The co-advisor for each major, in working with students to develop their academic plan, with determine which electives are appropriate for their major.

AI Hardware and Systems Major

Hosted by the Electrical and Computer Engineering (ECE) department.

Degree Requirements

  • 9 credit hours from AI Hardware and Systems core
  • 3 credit hours from AI Algorithms and Systems core
  • 3 credit hours from Industrial AI core
  • Plan A: 9 credit hours from AI Program electives, including at least 6 credit hours from AI Hardware and Systems electives, or
  • Plan C: 15 credit hours from AI Program electives, including at least 12 credit hours from AI Hardware and Systems electives
  • Plan A: 6 credit hours of ECE 8999 master’s thesis
Core courses
ECE 5995Special Topics in Electrical and Computer Engineering I *3
ECE 7500Artificial Intelligence for Natural Language Processing3
ECE 7640Online and Adaptive Methods for Machine Learning 3
Elective courses
ECE 5560Analysis and Design of Analog Integrated Circuits3
ECE 5770Digital Signal Processing4
ECE 5995Special Topics in Electrical and Computer Engineering I *3
ECE 6660Introduction to VLSI Systems4
ECE 7430Discrete Event Systems with Machine Learning4
ECE 7680Advanced Digital Image Processing and Applications4
ECE 7995Special Topics in Electrical and Computer Engineering II *3
*
Contact an advisor for specific topics that can apply to the AI Hardware and Systems major.

AI Algorithms and Systems Major

Hosted by the Computer Science (CSC) department.

Degree Requirements

  • 9 credit hours from AI Algorithms and Systems core
  • 3 credit hours from AI Hardware and Systems core
  • 3 credit hours from Industrial AI core
  • Plan A: 9 credit hours from AI Program electives, including at least 6 credit hours from AI Algorithms and Systems electives, or
  • Plan C: 15 credit hours from AI Program electives, including at least 12 credit hours from AI Algorithms and Systems electives
  • Plan A: 6 credit hours of CSC 8999 master's thesis
Core courses
CSC 5825Introduction to Machine Learning and Applications3
CSC 6800Artificial Intelligence I3
CSC 7760Deep Learning3
Elective courses
CSC 5100Introduction to Mobility3
CSC 5272Principles of Cyber Security3
CSC 5280Introduction to Cyber-Physical Systems3
CSC 5430
CSC 5431
Game Programming and Design I
and Game Programming and Design I: Lab
4
CSC 5710Design of Intelligent Information Retrieval Systems3
CSC 5800Intelligent Systems: Algorithms and Tools3
CSC 5870Computer Graphics I3
CSC 5991Special Topics in Computer Science **3
CSC 6430
CSC 6431
Game Programming and Design II
and Game Programming and Design II: Lab
4
CSC 6710Database Management Systems I3
CSC 6860Digital Image Processing and Analysis3
CSC 7710Database Management Systems II3
CSC 7800Artificial Intelligence II3
CSC 7810Data Mining: Algorithms and Applications3
CSC 7825Machine Learning3
CSC 7991Advanced Topics in Computer Science (Not repeatable) **3
**

Contact an advisor for specific topics that can apply to the AI Algorithms and Systems major.

Industrial AI Major

Hosted by the Department of Industrial & Systems Engineering (ISE).

Degree Requirements

  • 9 credit hours from Industrial AI core
  • 3 credit hours from AI Hardware and Systems core
  • 3 credit hours from AI Algorithms and Systems AI core
  • Plan A: 9 credit hours from AI Program electives, including at least 6 credit hours from Industrial AI electives, or
  • Plan C: 15 credit hours from AI Program electives, including at least 12 credit hours from Industrial AI electives
  • Plan A: 6 credit hours of IE 8999 master's thesis
Core courses
IE 5995Special Topics in Industrial Engineering ***3
DSA 6100Statistical Learning for Data Science and Analytics3
IE 7860Intelligent Analytics3
Elective courses
DSA 6000Data Science and Analytics3
DSA 6200Operations Research3
IE 5995Special Topics in Industrial Engineering ***3
IE 6000Digital Automation3
IE 7220Advanced Statistical Methods3
IE 7445Manufacturing Analytics3
IE 7480Knowledge-Based Design3
IE 7521Large Scale Optimization and Integer Programming3
IE 7995Graduate Special Topics ***3
***

Contact an advisor for specific topics that can apply to the Industrial AI major.

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