We have designed the admissions process to conduct a holistic review of your likelihood of success in the program. We base decisions on your academic and professional background.

To start the process, please read the admission requirements to determine your eligibility. If you have questions about your eligibility, please request an eligibility review by emailing our Graduate Advisor Justin Kyle Bush. This email should include:

• A copy of your current resume
• Informal transcripts

Admission requirements for the Master of Engineering: Engineering program are listed below. (Exceptions to standard admission requirements are considered by the admissions committee on an individual basis.)

• A bachelor of science (BS) degree in engineering from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or the equivalent.*
  • International applicants must have a degree comparable to an approved U.S. bachelor’s degree.
• A minimum undergraduate grade-point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work), or a master’s degree with a minimum cumulative GPA of 3.00.
  • Applicants from an international institution must have a strong academic performance comparable to a 3.00 for an undergraduate or master’s degree. All GPAs are based on a 4.00 scale. Please note: We use your institution’s grading scale; do not convert your grades to a 4.00 scale.
• Applicants whose native language is not English must provide scores from the Test of English as a Foreign Language (TOEFL). The minimum acceptable score on the TOEFL is 580 on the written version, 243 on the computer version or 92 on the Internet version.
• Submitting GRE scores are optional. If applicants feel that submitting their results would improve their chances of qualifying, then they are permitted to do so.
• Registration as a professional engineer by examination, if achieved, should be documented to support your application.

*Equivalency to an ABET-accredited program: Applicants who do not hold a bachelor’s degree from an ABET-accredited program may also qualify for admission to the program. Students are encouraged to contact the program director for more information.

All applicants are advised to determine whether this program meets the requirements for licensure in the state where they live. See the National Society of Professional Engineers website for contact information for state licensing boards.

If you’re ready to level up your skillset and ignite your career, start the application process today.

UW–Madison’s tuition costs for the engineering data analytics program are as follows:

• Per credit

Tuition is $1,300 per credit, payable at the beginning of each semester.

• Total tuition

The total tuition for this program is $39,000.*

*This total does not include textbooks or course-specific software. Software required for courses is typically available by UW–Madison or in educational versions at substantial discounts.

Contact: tas@wisc.edu

Dr. Tas is the director of masters programs in the Department of Industrial & Systems Engineering at UW–Madison. He holds a PhD in industrial and systems engineering and multiple master’s degrees in fields including health systems engineering and international relations-security.

He has extensive teaching experience in both graduate and undergraduate courses, specifically in the areas of optimization, decision and risk analysis and capstone projects. He is a certified project manager with practical experience in operations research, operations management and risk analysis projects with organizations including Argonne National Laboratories, the Department of Energy, the Department of Homeland Security, the Wisconsin Department of Health Services and UW Health.

Dr. Tas has a broad range of research and teaching interests related to engineering, including energy, information systems, homeland security, quality, production systems, operations and supply chain management, complex infrastructure systems and health care.

Contact: studentservices@interpro.wisc.edu

Justin is the graduate academic advisor for the following online graduate engineering programs:

• Manufacturing Systems Engineering (MSE)
• Engineering Data Analytics (MEDA)
• Electrical and Computer Engineering: Power Engineering
• Power Conversion and Control Capstone Certificate (PCC)

In his role, he supports all aspects of the student life cycle, including recruitment, admissions, new student orientation, academic advising, monitoring of progress towards the degree, course and enrollment management, diversity, equity and inclusion initiatives, funding, course and/or program assessment and academic program review.

Prior to his role at UW–Madison, he served as the program assistant and interim department manager for the Civil and Environmental Engineering Department at Colorado School of Mines. Throughout his career in education, he has facilitated graduate student advising, provided departmental leadership and administrative support and coordinated a variety of large events that support student success. As a first-generation college student (holding a bachelor of arts in history and a master of education with a higher education administration concentration), he understands the challenges and requirements for success in education and hopes to assist students in achieving this significant accomplishment.

Contact: jdlee@engr.wisc.edu

Dr. Lee focuses his research on cognitive engineering, with a concentration on human-automation​ interaction. He is also a co-author of the third edition of the popular textbook Designing for People: An Introduction to Human Factors Engineering.

Contact: linderoth@wisc.edu

Dr. Linderoth’s research centers on the modeling and resolution of real-world, large-scale optimization problems. He specializes in two key areas of optimization: integer programming, which is employed for modeling binary decisions, and stochastic programming, which aids in decision-making in the presence of uncertainty. His research stands out for its focus on the development of efficient, distributed optimization algorithms and software to enhance performance.

Contact: kliu8@wisc.edu

Dr. Liu is an esteemed engineering professor specializing in system informatics and data analytics. His research focuses on utilizing the data fusion approach to model, monitor, diagnose, forecast and make decisions in complex systems. His work has garnered widespread recognition across multiple research communities, including quality, statistics, reliability and data mining.

Notably, Dr. Liu has received several prestigious awards, including the Outstanding Young Manufacturing Engineer Award by SME, the Feigenbaum Medal Award by ASQ and the Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award by IISE. He has also been the recipient of several best paper awards from INFORMS and ISERC, as well as featured articles in IIE and INFORMS magazines. Dr. Liu’s research has been supported by esteemed organizations such as NSF, ONR, AFOSR, DOE and industry partners.

He holds a bachelor’s degree in industrial engineering and engineering management from the Hong Kong University of Science and Technology and a master’s degree in statistics and a doctorate degree in industrial engineering from Georgia Institute of Technology.

Contact: negrut@wisc.edu

Dr. Negrut is the Mead Witter Foundation Professor in the mechanical engineering department. His research and teachings focus on the application of computational science to engineering. Dr. Negrut founded the Wisconsin Applied Computing Center, leads the Simulation-Based Engineering Lab and is an NVIDIA CUDA Fellow.

Prior to joining UW–Madison, Dr. Negrut worked at Mechanical Dynamics, Inc. and the University of Michigan. He was also a visiting scholar at the Mathematics and Computer Science Division of Argonne National Laboratory. Dr. Negrut has a PhD in mechanical engineering from the University of Iowa.

Dr. Tony Orzechowski is the director of the Abbott Diagnostics R&D Data Analytics organization and an instructor in the Master of Engineering in Data Analytics program. His distinguished career includes over 35 years of increasing management responsibility. He is responsible for both ongoing support of product launches and digital innovation with over 100 statisticians, data scientists, business analysts, quality engineers and data management personnel.

He received an undergraduate degree in mechanical engineering and a master’s degree in manufacturing systems engineering from UW–Madison. Dr. Orzechowski is a certified Six Sigma Black Belt and an adjunct lecturer at Northwestern University, and he is launching a new non-credit course entitled Data for Technical Leaders at UW–Madison.

Contact: ksuresh@wisc.edu

Dr. Suresh is the director of the Engineering Representations and Simulation Laboratory (ERSL) at UW–Madison, which focuses on the design and analysis of multi-scale and multi-disciplinary engineering systems. In collaboration with his colleagues in the UW–Madison Department of Mechanical Engineering, Dr. Suresh is working to design a prototype heat exchanger using a 3D-printing technique called fused deposition modeling (FDM). He has a PhD from Cornell University.

Contact: bvanveen@wisc.edu

Dr. Van Veen has been with the Department of Electrical & Computer Engineering at the University of Wisconsin–Madison since 1987, where he is currently the associate chair for graduate and online studies and the Lynn H. Matthias Professor of Electrical and Computer Engineering.

He has co-authored the book Signals and Systems [Wiley, 1999 (first edition), 2003 (second edition)] with S. Haykin. He is also the publisher of allsignalprocessing.com. His current research interests include signal processing and its applications, including the development of algorithms for biomedical signal-processing problems.

Dr. Van Veen was a recipient of the 1989 Presidential Young Investigator Award from the National Science Foundation and the 1990 IEEE Signal Processing Society Paper Award. He received multiple teaching awards at the University of Wisconsin, including the 2014 Spangler Award for Technology Enhanced Instruction, the 2015 Chancellor’s Distinguished Teaching Award and the 2017 Benjamin Smith Reynolds Award for Teaching Engineers.

Dr. Van Veen received his Bachelor of Science in Electrical Engineering from Michigan Technological University in Houghton, Michigan, in 1983, and his PhD in electrical engineering from the University of Colorado-Denver in 1986.

Contact: jxu25@wisc.edu

Dr. Xu is a lecturer in the College of Engineering at The University of Wisconsin–Madison, with a primary affiliation in the Department of Industrial and Systems Engineering. She received her PhD from the Georgia Institute of Technology in 2015. Jiao also has a master of science in operations research from the Georgia Institute of Technology and a bachelor of engineering in industrial engineering from the Hong Kong University of Science and Technology.

Contact: szhou@engr.wisc.edu

Dr. Zhou is a professor in the Department of Industrial & Systems Engineering at the University of Wisconsin–Madison. Dr. Zhou has taught courses on facilities planning and computer-integrated manufacturing and has directed graduate student research and independent study.

His research interests are in the areas of modeling, diagnosis and control of complex manufacturing processes through data analytics. He has been sponsored by the National Science Foundation (NSF), the Air Force Office of Scientific Research and the Department of Energy, to name a few. He has authored and co-authored dozens of papers and received the NSF CAREER Award in 2006.

Dr. Zhou holds a doctorate in mechanical engineering from the University of Michigan, Ann Arbor.