MS Applied Statistics at University of Michigan-Ann Arbor

Programme overview

The Master's in Applied Statistics prepares graduates for careers as applied statisticians in industry, government, consulting firms and research organisations, with emphasis on statistical modelling and data analysis. The degree requires at least 10 courses totalling 30 credit hours.

Faculty: College of Literature, Science, and the Arts | Department: Department of Statistics | Duration: Typically 4 semesters (2 years); 3 semesters possible; 30 credit hours | Intake: Fall only; application deadline January 15 | Study mode: full-time | Location: Ann Arbor, MI, United States

What you will study

Core courses are STATS 500 Regression Analysis, DATASCI 503 Statistical Machine Learning, STATS 504 Practice and Communication in Applied Statistics, STATS 510 Probability and Distribution Theory, and STATS 511 Introduction to Statistical Theory. Students also take at least five electives (for example Bayesian data analysis, time series, causal inference, experimental design, nonparametrics) and up to 6 credits of cognate courses from other departments. A 3.00 cumulative GPA is required for good standing.

Career pathways

Applied statisticians in industry, government, consulting firms and research organisations.

Official programme page

Application information

Entry requirements

Apply through Rackham by January 15 for fall entry (program code 00064); no winter admission. Required: application form, three letters of recommendation, transcripts, statement of purpose, personal statement, resume or CV, and English proficiency scores where applicable. Recommended background: calculus, linear algebra, and one course each in probability, theoretical statistics, and applied or computational statistics or machine learning; students lacking prerequisites may need extra first-year classes.

Intake: Fall only; application deadline January 15

Duration: Typically 4 semesters (2 years); 3 semesters possible; 30 credit hours

Apply through the official page: https://rackham.umich.edu/admissions/applying/

Explore more study programmes

Engineering