Program Overview

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The Â鶹ÊÓƵ’s master’s degree in applied mathematics is a professional master's program designed to give students the technical knowledge and skills needed to be highly successful in careers related to data science, statistics, applied mathematics and engineering. Coursework, culminating in a comprehensive final project, offers students strong preparation in the mathematics, statistics, data science and computing at the heart of the big data revolution. In addition, students will have access to workshops and courses that help develop valuable professional skills, including communication, collaboration, presentation and networking.

  • Engage in a hands-on, experiential education
  • Network with campus faculty and off-campus professionals
  • Learn from internationally recognized faculty with industrial experience

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Who is a suitable candidate for this degree?

The MS in applied mathematics is designed to further the strong math and computer science skills that candidates already demonstrate. Our program works well for those already working and practicing mathematics who wish to extend their knowledge and skill.
 

Our strong pool of candidates:

 

Show a record of success in mathematics, computer science, statistics and probability courses

 

Regularly use R, Python, C, C++ and/or MATLAB

 

Have some relevant work experience

Our unique program allows students to complete a Culminating Experience project instead of a master’s thesis. This flexible, student-driven, industry-oriented project allows graduates to obtain deep knowledge and skills working with data that address scientific research issues. The CE Project not only develops applicable skills for our master’s degree students, but it is also highly regarded by companies, researchers and universities that employ our graduates.

“I was able to work hands-on with interesting Climatology research right away in my second year under Dr. Will Kleiber. The PMD program was designed so that I could learn the fundamentals and theory in my first year, and then specialize and apply everything in my second year. I really wanted to focus on Spatial Statistics and Statistical Learning applied to Atmospheric Modeling, and that is exactly what I got to do. It was impactful not just for me as a student, but as an emerging applied Statistician and Data Scientist as well.â€

Laurette Hamlin
Graduated May 2021
Master of Science in Applied Math, Statistics and Data Science Specialization

"I really loved doing the CE project. It was definitely a positive experience and I learned a lot from it, particularly how to pick the appropriate skills to apply to a large and daunting project, how to research other statistical methods that I wasn't familiar with and confidently apply them to a real-world setting, and how to incorporate our statistical solutions into a business setting."

Angela Folz
Graduated May 2021
Master of Science in Applied Math, Statistics and Data Science Specialization