Accepting Applications for Spring 2023
Applied mathematics and data science are employed in almost every business and industry, including communications, manufacturing, defense, engineering, business, finance and education. UW-Stout's Master of Science degree in Applied Mathematics and Data Science will prepare you to identify and solve challenging problems through statistical analysis, modeling, data analysis and computation skills.
The program's advanced curriculum, developed by our industry-experienced faculty, will train you to:
- Apply advanced mathematics, statistics, and computer science skills to today's most immediate problems and questions.
- Analyze data and create mathematical and statistical models for business and industry.
- Work as a member of an effective interdisciplinary team.
- Use effective professional communication skills in scientific and non-scientific environments.
Get ready for your successful career as an applied mathematician with strong analytical and problem-solving skills built upon a background in computing, mathematics, statistics and basic science. Our Master's degree will provide you with the knowledge necessary to work in data science, modeling and simulation, quality management, quantitative finance, and computational mathematics.
Use the Request Information form to receive a program summary and learn more about the Masters of Science degree in Applied Mathematics and Data Science.
General UW-Stout Graduate School Application
All prospective graduate students at UW-Stout must follow a standard application process through our Graduate School. Beyond that, each graduate program has specific requirements that must be met to be successfully admitted to the program:
Program-Specific Admission Requirements
To be admitted with full status to the M.S. Applied Mathematics and Data Science program, you must meet the following criteria:
- Interest in developing advanced technological solutions to industrial needs and problems
- Hold a bachelor’s degree in mathematics or bachelor’s degree in science, engineering or finance/economic with advanced mathematics coursework
- Undergraduate GPA of 3.0 or higher