Upgrade Your Career in Real Time

Gain the skills to extract insights from data using the algorithms, methods, processes, and systems of data science. The Fox Master of Science in Statistics and Data Science provides super analysts with an in-depth look at the techniques used in understanding prescriptive, descriptive, and predictive analytics. Learn how to use cutting-edge analytical tools and software and enhance your ability to effectively communicate modern data to key decision-makers across departments.

30 credit hours

Full-time and part-time options

Capstone with real-time data & client

A Modern Approach to Statistics

Stay up-to-date with real-world data with the Master of Science in Statistics and Data Science. Balance data-heavy statistics classes with live-client interaction to expand your professional expertise and advance your career.

Find Your Best Data Science Career

With the Fox Master of Science in Statistics and Data Science, gain a data-focused educational experience to prepare you for a real-world career in the following fields:

  • Statistics
  • Business intelligence
  • Data analytics
  • Data mining
  • Big data engineering
  • Program management
  • Machine learning


The Master of Science in Statistics and Data Science delivers a unique curriculum with the flexibility to customize the program to your industry or interests. After completing the required foundational courses, students may choose electives in order to specialize in geography and urban studies, computer information science, or actuarial science.

Core Courses (24 credits)
Statistical Methods I
Applied Statistics and Data Science
High Dimensional Inference for Data Science
Design and Analysis of Complex Experiments
Data Wrangling and Curation OR CIS 5516
Visualization: The Art of Numbers
Statistical Computing for Data Science
Capstone in Analytics
Electives (6 credits)
Statistical Science
Computer Information Science
Actuarial Science
Geography and Urban Studies


Year 1
Year 1
Year 2
Statistical Methods IApplied Statistics and Data ScienceDesign and Analysis of Complex Experiments
Data VisualizationStatistical Computing for Data ScienceCapstone in Analytics
Data Wrangling and CurationHigh Dimensional Statistics and Data MiningOptional Elective
Optional ElectiveOptional Elective


Application Deadlines

Applications will be reviewed as they are received and may be considered after the deadline on a case-by-case basis.

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Rachel Brown
Admissions Coordinator - MBA and MS Programs


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