Worcester Polytechnic Institute

What you'll study

The Applied Statistics MS combines core statistical theory with hands‑on training in computational tools and applied methods. Core topics typically include probability theory, linear models, regression and generalized linear models, multivariate analysis, experimental design and statistical inference. Applied and computational modules often cover statistical learning and machine learning, time series and forecasting, Bayesian methods, resampling and simulation, and high‑dimensional data analysis.

Students also gain substantial training in statistical computing and data management through coursework in R, Python, SQL and reproducible research practices. The programme offers a choice of a research/thesis route or a practice‑oriented capstone project; the latter emphasises collaboration with industry, healthcare or campus research centres to apply statistical methods to real datasets. Elective options allow specialisation in areas such as biostatistics, industrial statistics/ quality engineering, environmental statistics, and data science for business.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree from an accredited institution, preferably in statistics, mathematics, economics, engineering, computer science or a related quantitative discipline. Typical prerequisites include undergraduate coursework in calculus, linear algebra, introductory probability and statistics, and some programming experience. Candidates who lack specific prerequisites may be admitted conditionally and asked to complete bridging courses.

Admissions decisions are based on the overall academic record, letters of recommendation, a statement of purpose that outlines quantitative interests and goals, and any relevant work or research experience. International applicants must demonstrate English language proficiency according to the institute's standard requirements. Applicants should consult the department for guidance on portfolio materials or sample projects if applying with industry experience rather than a recent degree.

Career prospects

Graduates of the Applied Statistics MS pursue roles across sectors that rely on quantitative analysis of data. Common job titles include data scientist, statistician, biostatistician, quantitative analyst, business analyst, quality engineer and research analyst. Alumni find employment in healthcare and pharmaceuticals, technology and software firms, finance and insurance, manufacturing and supply chain, government agencies and academic research.

The programme’s emphasis on applied projects and computing prepares students for positions requiring both statistical rigour and practical data‑handling skills. Graduates also use the MS as preparation for further research degrees or professional certification pathways in statistics and data science.

Why study at Worcester Polytechnic Institute

Worcester Polytechnic Institute is known for project‑based, experiential learning that connects classroom theory with industry practice. The Applied Statistics MS benefits from close ties between the Department of Mathematical Sciences and campus research centres, enabling students to work on industry collaborations, interdisciplinary research and data‑intensive capstone projects.

Students have access to modern computing resources, statistical software, and a regional network of employers in the New England technology and healthcare corridors for internships and collaborative projects. The programme’s flexible curriculum and practicum options make it suitable for recent graduates seeking foundation in applied statistics as well as professionals aiming to upskill in data analytics and statistical modelling.