The MS program in Connected Systems Engineering is a 31-credit Capstone-based program which is offered by the Industrial and Manufacturing Engineering Department in the College of Engineering and Applied Sciences, in collaboration with UWM’s Connected Systems Institute (CSI) and the Lubar School of Business. This program, the first of its kind in the state of Wisconsin, is designed for graduates with at least a bachelor’s degree in engineering and related fields, to reskill or upskill, and gain key knowledge that is necessary for current and future jobs in the manufacturing and service industries. The program entails courses in Industrial Internet of Things (IoT), data acquisition and data analytics, machine learning and artificial intelligence (AI), robotics/automation and digital twins as well as the sustainability in technological advances, taking ethical and social ramifications. A unique aspect of this program is that the majority of the hands-on-experiential learning will take place in the state-of-the-art manufacturing testbeds and software that are available in the CSI. The technical elective courses will lead concentrations in industrial engineering, manufacturing engineering, enterprise resource planning, digital supply chain management, mechatronics and robotics, artificial intelligence and machine learning, and cybersecurity. 

Admission Requirements

Application Deadlines

Application deadlines vary by program, please review the application deadline chart for specific programs. Other important dates and deadlines can be found by using the One Stop calendars.

Admissions Eligibility Requirements

Applicants must meet UWM’s Graduate School’s mandated admissions requirements. In addition:

  1. Applicants should have a baccalaureate degree in engineering or related fields (mathematics, data science, statistics or a natural science) from an accredited college or university.
  2. Applications will be reviewed by the Industrial and Manufacturing Engineering Department Faculty Committee to assess academic achievement and ability to do intensive graduate-level work.


Credits and Courses

The program consists of 18 credits of required core courses, 3 credits of the capstone completion course, 1 credit of writing effectiveness and 9 credits of elective courses from a one or a mix of several focus areas as follows:

Academic degree program or major course requirements (22 Credits)
IND ENG 540GFoundations of Systems Engineering3
IND ENG 555Manufacturing Systems Integration3
IND ENG 715Data Acquisition and Visualization for Decision Making3
IND ENG 716Engineering Statistical Analysis3
IND ENG 741Foundational Technologies for Connected Systems1
IND ENG 742Cloud Architecture for Connected Systems1
IND ENG 999Advanced Independent Study3
BUS ADM 788Tracking and Tracing1
BUS ADM 811Process and Work-Flow Management3
EAS 701Effective Academic Writing1
Technical Electives (Pick 9 credits from one or a mix of the following focus areas)9
Industrial Engineering Focus
Operations Research I
Operations Research II
Simulation Methodology
Quality Control
Design of Experiments
Operations Research in Engineering Management
Operations Research Methods
Scheduling and realtime resource management
Advanced Topics in Industrial and Systems Engineering: 1
Manufacturing Engineering Focus
Control of Automated Manufacturing Systems
Reliability Engineering
Lean Production Systems
Flexible Manufacturing Systems
Advanced Topics in Industrial and Systems Engineering: 1
Enterprise Resource Planning Focus
Enterprise Simulation Game
Enabling Supply Chains Using SAP
Business Intelligence Technologies & Solutions
Information Systems Practicum
Digital Supply Chain Management Focus
Supply Chain Technology and Simulation
Modeling and Analytics in Supply Chains
Managing Connected Supply Chains
Service Operations Management
Advanced Topics in Industrial and Systems Engineering: 1
Mechatronics/Robotics/Digital Twin Focus
Introduction to Robotics
Advanced Mechatronics
Sensors and Systems
Robot Motion Planning
Advanced Topics in Industrial and Systems Engineering: 1
AI/Machine Learning Focus
Introduction to Data Mining
Artificial Intelligence
Introduction to Machine Learning
Programming for Machine Learning
Introduction to Data Science
Cybersecurity Focus
Introduction to Computer Security
Survey of Information Security
Ethical Hacking I
Ethical Hacking II
Information Security Management
Advanced Topics in Industrial and Systems Engineering: 1
Total Credits31

Qualifying topics include Global Supply Chain and Sustainable Technologies: Social and Ethical Impacts.

Additional Requirements

Major Professor as Advisor

The student is assigned an initial faculty advisor at the time of admission. The student selects a faculty member as as their capstone advisor after consultation with that faculty member. Any change in faculty advisor requires the documented permission of the new faculty member and their department. An initial Program of Study with student, advisor and department approval should be completed prior to the completion of 9 credits in the program. The final Program of Study must be approved by the initial advisor or capstone advisor as appropriate.

Financial Aid

Students enrolled in this program are not eligible for financial aid from the Industrial and Manufacturing Engineering department including research assistantships, teaching assistantships, project assistantships, fellowships and/or tuition waivers. However, such students are still eligible for financial aid available elsewhere on the campus.

Time Limit

All students must complete the degree requirements within five years of initial enrollment. A student requiring more time must submit a request for exemption to the graduate school.