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:
- 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.
- 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:
| Code | Title | Credits |
|---|---|---|
| Academic degree program or major course requirements (22 Credits) | ||
| IND ENG 540G | Foundations of Systems Engineering | 3 |
| IND ENG 555 | Manufacturing Systems Integration | 3 |
| IND ENG 715 | Data Acquisition and Visualization for Decision Making | 3 |
| IND ENG 716 | Engineering Statistical Analysis | 3 |
| IND ENG 741 | Foundational Technologies for Connected Systems | 1 |
| IND ENG 742 | Cloud Architecture for Connected Systems | 1 |
| IND ENG 999 | Advanced Independent Study | 3 |
| BUS ADM 788 | Tracking and Tracing | 1 |
| BUS ADM 811 | Process and Work-Flow Management | 3 |
| EAS 701 | Effective Academic Writing | 1 |
| 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 | ||
COMPSCI 746 | ||
| 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 Credits | 31 | |
- 1
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.