Industrial and Entrepreneurial Engineering and Engineering Management

Master of Science in Intelligent Systems and Data Engineering (M.S.)

Boost your career through the art and science of modern data engineering and intelligent systems. When you earn your master's degree at WMU, you'll discover the full lifecycle of data systems and be prepared with cutting-edge knowledge and practical skills in data collection, storage, analysis, and dissemination. You will be ready to take on roles in industries across industries sectors such as manufacturing, healthcare, technology, and research that increasingly rely on data-driven decision-making.

Industrial and Entrepreneurial Engineering and Engineering Management
Western Michigan University
Kalamazoo MI 49008-5336 USA
(269) 276-3554

Is the 30-credit-hour master's in intelligent systems and data engineering right for me?

If you are ready to advance your engineering career and take on the challenge of an emerging field, enrolling in the Master of Science in intelligent systems and data engineering will get your the knowledge and experience to tackle core topics with opportunities to focus on your career. 

Career Opportunities

When you graduate from the intelligent systems and data engineering program, you will be highly sought after for the unique blend of industrial engineering and computer science knowledge and experience you will develop. 

  • Data Engineer 
  • Machine Learning Specialist 
  • Operations Research Analyst 
  • Big Data Architect 
  • Artificial Intelligence Engineer  
Applications for this program are accepted for fall terms. Contact the program advisor, Dr. Lee Wells, for enrollment and course information.
Email Lee Wells
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How can I fund my M.S. in intelligent systems and data engineering?

Western strives to ensure you can readily manage the expense of graduate school. You can fund your graduate degree through federal aid, loans, scholarships, grants, research assistantships and more.
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What can I expect in 30-credit hour program

Program Focus

The Master of Science in Intelligent Systems and Data Engineering requires a minimum of 30 credit hours: 

  • 18 hours of core courses, six hours of electives, and six hours dedicated to a master’s project

Core courses include:

  • CS 5820 - Artificial Intelligence
  • CS 6100 - Advanced Storage, Retrieval, and Processing of Big Data
  • IEE 5170 - Applied Data Mining for Engineers
  • IEE 6170 - Applied Data Collection for AI
  • IEE 6130 - Stochastic and Heuristic Methods in Operations Research
  • IEE 6900 - Intelligent Systems and Data Engineering Capstone Project
     

Objectives

  • Equip students with expertise in intelligent data analytics and modern engineering problem-solving.
  • Develop leadership and technical capabilities in managing complex data pipelines and systems.
  • Enhance analytical and managerial skills for handling large-scale datasets and developing innovative solutions.
  • Prepare graduates for growing businesses through data engineering and artificial intelligence.
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WMU Floyd Hall

Floyd Hall

Home to the College of Engineering and Applied Sciences, the facility includes seven computer teaching labs, 75 research and teaching laboratories, and a number of flexible classroom, study and lecture spaces.