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Data Science MS

Master of Science in Data Science

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Is this program right for you?

Our world increasingly depends on data and computing to produce valuable knowledge and to make critical decisions. With the interdisciplinary Master of Science in Data Science from the University of Wisconsin–Madison, you will be uniquely prepared to meet this rapidly growing need in a variety of industries.

  • This collaborative degree between the Statistics and Computer Sciences departments enables you to think critically, compute efficiently, model and analyze effectively and behave ethically with data
  • Complete the 30-credit coursework in three core areas (statistics, computer sciences, and machine learning) to learn computational and statistical skills applicable to address data-rich problems across fields
  • Our accelerated program prepares you to meet the evolving needs of today’s data-driven world or to pursue further education in related fields

Education that works for you

Develop the high-demand technical and statistical skills necessary to responsibly analyze and use data with the UW–Madison MS in Data Science.

Program type

Master’s degree

Graduate education in a specific area of expertise

Explore program types

Degree awarded

Master of Science in Data Science

Commitment

1.5-2 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 students

Admission terms

Program admits for Fall term

STEM opt eligible

Yes

Supports F-1 Visa

Application deadlines

Fall 2026

  • Deadline: February 15, 2026

Fall 2027

  • Deadline: February 15, 2027
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 340 Elementary Matrix and Linear Algebra
    • Programming foundation, select one from
      • COMP SCI 220 Data Science Programming I
      • COMP SCI 300 Programming II
      • COMP SCI 320 Data Science Programming II
  • 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 and STAT 305 R for Statistics III
  • STAT 433 Data Science with R

Application materials required

  • Online application
  • Resume/CV
  • Statement of purpose
  • Transcripts
  • Two letters of recommendation

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

There are no upcoming events at this time.

Results that work for you

Data Science MS

$101,000

Market salary in 2021

Job titles

  • Software engineer
  • Data scientist
  • Adjunct faculty
  • Software developer
  • Java developer

Top industries

  • Educational services, professional, scientific, and technical services
  • Manufacturing
  • Administrative and support and waste management and remediation services
  • Finance and insurance

Top employers

  • Amazon
  • Deloitte
  • Boeing
  • ITT Educational Services

17.7%

Projected growth in 2020-2030. Source: Lightcast™ 2022 and alumni data.

17th

UW–Madison graduate computer sciences programs were ranked 17th for Best Graduate Computer Sciences Programs in the latest U.S. News & World Report.

U.S. News & World Report

What you’ll learn

Get ahead in the dynamic field of data science with the Data Science MS program. Through a blend of theory and practice, you’ll master statistical methods, algorithms, and machine learning to extract knowledge from data and design interactive data visualizations.

For complete curricular details visit UW-Madison’s Guide →
  • Statistical models and methods
  • Algorithms
  • Artificial Intelligence
  • Machine learning
  • Database management
  • Data visualization
  • Human-computer interaction
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