Connected Systems Engineering MS MS
Future-proof your career with Wisconsin’s first-of-its-kind Connected Systems Engineering master’s program. It combines engineering, business and data science with real-world applications.
Gain the transformational skills demanded by today’s manufacturing and service industries with a Connected Systems Engineering master’s degree. Looking for career advancement? Exploring a career change? This one-of-a-kind program will give you the competitive skills to set you apart.
This flexible degree, for full-time and part-time students, provides you many career pathways, providing you with the confidence to lead change across areas including advanced manufacturing and industrial engineering, enterprise resource planning, digital supply chain management, artificial intelligence (AI) and machine learning, cybersecurity, robotics, systems engineering, automation, data analytics, and optimization of industry operations.
Program Type
Master’s
Program Format
On Campus
Microsoft’s choice for nation’s only manufacturing-focused AI Co-Innovation Lab
UWM’s Connected Systems Institute was tapped by Microsoft in May 2024 to host the nation’s only manufacturing-focused AI Co-Innovation Lab.
One of seven such labs worldwide, the UWM lab will be the only one hosted by a university. When operational, it will serve as a hub, connecting manufacturers in Wisconsin and elsewhere with Microsoft’s artificial intelligence experts and developers.
We believe this interdisciplinary master’s program is a critical step to closing the current industry knowledge gap and preparing a pipeline of future industry leaders. We fully support this program.
With a Connected Systems Engineering master’s degree you’ll have the skills needed to solve complex and critical system-level problems in advanced manufacturing and service industries.
This program is a unique collaboration between the College of Engineering & Applied Science, Lubar College of Business and UW-Milwaukee’s Connected Systems Institute, which focuses on domain-specific research and education on the Industrial Internet of Things (IIoT), factory automation and the implementation of Industry 4.0 solutions.
Upon completion of the program, you’ll be the advanced manufacturing authority, and be able to:
- Understand, analyze, integrate and validate complex systems;
- Apply and integrate the appropriate data analysis skills and tools to solve industry problems;
- Synthesize diverse business models and identify model features that ensure system agility;
- Design coherent industrial system-level solutions using Industry Internet of Things (IIOT) solutions, including data analytics, remote sensing and controls, robotics and automation, mixed reality, digital twin and cybersecurity solutions;
- Synthesize, evaluate and apply measurable key performance indices to assess the effectiveness of the proposed system-level solutions.
Who Should Enroll?
- Bachelor’s degree holders in engineering or related fields.
- Those committed to advancing their careers or taking on leadership roles using emerging technologies in advanced manufacturing, embedded systems, robotics, artificial intelligence (AI), machine learning, cybersecurity, machine learning and enterprise resource planning.
- Those who seek career change. This flexible program sets you up for success in many in-demand areas of tomorrow’s workforce.
31-Credit, Flexible Connected Systems Engineering master’s includes:
- 18 credits of engineering and business core courses.
- 3-credit capstone course provides you valuable hands-on experience using the Connected Systems Institute expertise. This includes using the automated manufacturing testbeds, cloud computing facilities, the digital twin lab, and cybersecurity lab, with opportunities to collaborate with manufacturing and service industry professionals on real-time projects.
- 1-credit technical writing course teaches you to effectively communicate technical information in a clear and concise manner. NOTE: This can be waived with a demonstration of significant industry experience.
- 9 credits of technical elective courses. Choose all from a single in-demand focus area or multiple focus areas, including:
- Industrial engineering
- Manufacturing engineering
- Digital supply chain management
- Mechatronics, robotics, digital twins
- Artificial intelligence (AI) and machine learning
- Cybersecurity
- Enterprise resource planning
Part-time and full-time options:
In-person, evening and some online courses available to address all student types.
Estimated time to completion:
- Full time: 3 semesters
- Part time: 5 semesters
Deloitte 2024 Manufacturing Industry Outlook demonstrates demand:
“Manufacturers are increasingly leveraging digital technologies, embracing a smart factory approach, and exploring the industrial metaverse to improve agility, resilience and efficiency . . .
. . . Over 70% of surveyed manufacturers have woven technologies such as data analytics and cloud computing into their processes, and nearly half are already harnessing the power of IoT (Internet of Things) sensors, devices, and systems. These technologies are also foundational to the industrial metaverse. In addition, the majority of surveyed manufacturers have made significant investments in digital twins, 3D modeling, and 3D scanning.”
Connected Systems Engineering master’s degree prepares you to lead:
Faculty
For questions regarding the program contact:
- Satya Aditya Akundi | Assistant Professor, Industrial & Manufacturing Engineering | akundivy@uwm.edu
- Wilkistar Otieno, Assistant Professor, Industrial & Manufacturing Engineering |
otieno@uwm.edu
Other relevant departments:
- Computer Science
- Industrial & Manufacturing Engineering
- Information Science and Technology
- Mechanical Engineering
- Supply Chain
Advising
- Advisor, Graduate Programs
- Computer Science, Electrical Engineering, Biomedical Health Informatics
- crary@uwm.edu
- 414-229-7267
- Engineering & Mathematical Sciences E379
- Advisor, Graduate Programs
- Civil/Environmental Engineering, Mechanical Engineering, Biomedical Engineering, Industrial/Manufacturing Engineering, Materials Science & Engineering
- rpackard@uwm.edu
- 414-251-8543
- Engineering & Mathematical Sciences E379