M.S. Applied Mathematics & Data Science

Help business and industry solve problems through statistical analysis, modeling, data analysis and computation
Degree Type Master of Science
Careers & Salaries Career Outcomes
Delivery On Campus

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 & Data Science will prepare you to identify and solve challenging problems through statistical analysis, modeling, data analysis and computation skills.

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.

Career-Defining Curriculum.

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.
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Admission Requirements

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

Eligibility

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                                
    Hold a bachelor’s degree in science, engineering or finance/economic with advanced mathematics coursework.
    • Coursework should include the following:
      • Calculus 1: Single Variable Calculus
      • Calculus 2: Techniques of Integration with Sequence and Series
      • Calculus 3: Multivariable Calculus
      • Differential Equations
      • Linear Algebra / Matrix Methods
      •  Introduction to Statistics
      •  Introduction to Programming
    • Students with deficiencies are generally admitted in the Spring Semester so they can join a cohort in the Fall. We can accept students who are deficient in Differential Equations, Linear Algebra, and/or Probability and Statistics.
  • Have earned an undergraduate GPA of at least 3.0.

 

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