Applied Statistics—MS

The MS Applied Statistics program is available to current Michigan Tech students as an accelerated Master's. It is also available online.

Overall employment of statisticians is projected to grow 33 percent from 2016 to 2026, much faster than the average for all occupations. With an advanced degree in applied statistics, you’ll be prepared to analyze society’s increasing volume of digital and electronic data in business, engineering, healthcare, and other fields.

What you'll work on

Applied statistics students focus on utilizing statistical theory and methods to address the practical problems of an evolving society. Fields as diverse as medicine, ecology, business, and engineering generate massive amounts of data; statisticians organize and interpret that data for the benefit of individual organizations and of the world.

Where you'll work

Recent graduates have landed positions in national laboratories, academia, and private industries and firms. While on campus, you'll study and research in one of our many interdisciplinary research centers and institutes.

Faculty Spotlight

Yeonwoo Rho

Yeonwoo Rho
Associate Professor, Mathematical Sciences

"In the end, data are interconnected in one way or another."

Between different observation times of the same subject and across different subjects–data are interconnected in one way or another. In the era of big data, it is crucial to extract useful and correct information out of them. Rho’s research focuses on how to handle the dependency using statistical and probabilistic tools.

Who you'll work with

You’ll work in teams with your peers and faculty, using popular, state-of-the-art software to solve authentic problems with real data to impact society. Nearly 40 faculty members in the Department of Mathematical Sciences conduct research on the best mathematical and statistical approaches to problems in a variety of areas. Both master’s and doctoral students contribute to faculty-led research projects while taking advanced coursework in statistics.