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Statistics: Statistics & Data Science MS

Master of Science in Statistics

A man sitting at his desk reviewing data on his computer.

Is this program right for you?

The Master of Science in Statistics: Statistics and Data Science at UW–Madison combines a background in statistical theory, methods, and practice related to data science with the communication skills you need to use data effectively for planning and decision making.

  • Flexible, accelerated program allows you to earn your degree in just three to four semesters
  • UW–Madison’s Department of Statistics is on the cutting edge of Big Data and predictive analytics research, and we are constantly innovating the curriculum to keep up with the industry
  • You have the opportunity to attend many data conferences throughout the year, allowing you to gain insights in the field and network with statistics and data science leaders

Education that works for you

The Master of Science in Statistics: Statistics and Data Science program gives you the skills to make sense of complex data to achieve organizational goals.

Program type

Master’s degree

Graduate education in a specific area of expertise

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Degree awarded

Master of Science in Statistics

Commitment

1-2 years

Tuition

$1,600 per credit

Format

Accelerated

Fast-paced program with higher course load

Face-to-face

On-campus, in-person courses

Credits

30 graduate credits

Admission terms

Program admits for fall and spring terms

Offered by

Department of Statistics

STEM opt eligible

Yes

International eligibility

Yes

Application deadlines

Fall 2025

  • Deadline: February 15, 2025

Spring 2026

  • Deadline: October 1, 2025

Fall 2026

  • Deadline: March 1, 2026
View UW–Madison’s Guide

Your questions, answered

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Admissions and events

Program requirements

All applicants must:

  • Have a bachelor’s degree from an accredited institution
  • Have some background in quantitative fields including experience and skill with abstract conceptual thinking and task definition, typically developed in statistics, mathematics, computer sciences, economics and engineering courses
  • Have taken courses equivalent to the following UW–Madison courses:
    • MATH 221 Calculus and Analytical Geometry I
    • MATH 222 Calculus and Analytical Geometry II
    • MATH 234 Calculus-Function of Several Variables
    • MATH 421 The Theory of Single Variable Calculus or another advanced analysis course
    • MATH 340 Elementary Matrix and Linear Algebra
  • Have a minimum undergraduate GPA of 3.0 on the last 60 credits of degree
  • Submit evidence of English language proficiency, if applicable. See the Graduate School Requirements for more information

Ideal applicants will:

  • Have taken courses equivalent to the following UW–Madison courses:
    • STAT 303 R for Statistics I and
    • STAT 304 R for Statistics II
    • STAT/MATH 309 and 310 Introduction to Probability and Mathematical Statistics I and II

Application materials required

  • Online application
  • Supplemental Department of Statistics application
  • Resume/CV
  • Statement of purpose
  • Transcripts
  • Three letters of recommendation

For complete application details visit UW–Madison’s Guide →

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January 23, 2025 from 9:30 a.m. to 10:30 a.m.

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Results that work for you

Statistics: Statistics & Data Science MS

$105,800

Median market salary in 2021

Job titles

  • Data scientist
  • Data analyst
  • Biostatistician
  • Business intelligence analyst
  • Statistician

Top industries

  • Professional, scientific and technical services
  • Manufacturing
  • Finance and insurance
  • Administrative and support and waste management and remediation services
  • Health care and social assistance

Top employers

  • Deloitte
  • Anthem Blue Cross
  • Humana
  • Cytel
  • Johnson & Johnson

21.5%

Projected job growth from 2020-2030. Source: Lightcast™ 2022.

What you’ll learn

Strengthen your statistical foundation and gain data science experience through the Statistics: Statistics & Data Science MS program. Through a combination of in-depth coursework and practical training, you’ll master statistical methods and data science computing to tackle real-world data challenges.

For complete curricular details visit UW-Madison’s Guide →
  • Statistical methods
  • Statistical inference
  • Data science computing
  • Statistical learning

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