Dual M.S. in Data Science and Statistical Science

Combine statistical science with data science

This dual degree program awards an M.S. in Statistical Science and an M.S. in Data science. It is recommended for students who have a background in statistics and also want to acquire deep computational skills. 

You’ll earn two degrees in fewer credit hours and less time than it would take to earn them separately.

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Degree maps

Below are several sample degree paths students could take.

Typical degree map

The typical path is for students who do not require remedial data science coursework and know from the outset that they want to pursue the dual degree.

Example only
Year FallSpring
First
  • STAT S610 Introduction to Statistical Computing
  • STAT S631 Applied Linear Models
  • DS DMS Requirement
  • STAT S611 Statistical Computing
  • STAT S632 Applied Linear Models II
  • DS DME Requirement
Second
  • STAT S621 Fundamentals of Statistical Methods and Theory I
  • STAT S690 Statistical Consulting
  • DS DVS Requirement
  • STAT S622 Fundamentals of Statistical Methods and Theory II
  • STAT S692 Internship in Statistical Consulting
  • DS Domain 1
Third
  • DS Domain 2
  • DS Elective
  • DS Elective
  • STAT or DS Elective
  • STAT or DS Elective

Degree map for students with weak data science background

This path is for students who may need bolster their knowledge in data science.

For example only
YearFallSpring
First
  • STAT S610 Introduction to Statistical Computing
  • STAT S631 Applied Linear Models
  • DSCI-D 590 Intro to Python Programming
  • STAT S611 Statistical Computing
  • STAT S632 Applied Linear Models II
  • DSCI-D 590 Introduction to NLP for DS
Second
  • STAT S621 Fundamentals of Statistical Methods and Theory I
  • STAT S690 Statistical Consulting
  • DS DVS Requirement
  • STAT S622 Fundamentals of Statistical Methods and Theory II
  • STAT S692 Internship in Statistical Consulting
  • DS Domain 1
Third
  • DS Domain 2
  • DS Elective
  • DS Elective
  • STAT or DS Elective
  • STAT or DS Elective

Adding data science later

This path is for students who are already in the statistical science program and later decide to add on the M.S. in data science.

An example only
YearFallSpring
First
  • STAT S610 Introduction to Statistical Computing
  • STAT S631 Applied Linear Models
  • STAT S621 Fundamentals of Statistical Methods and Theory I
  • STAT S611 Statistical Computing
  • STAT S632 Applied Linear Models II
  • STAT S622 Fundamentals of Statistical Methods and Theory II
Second
  • STAT S690 Statistical Consulting
  • DS DMS Requirement
  • DS Domain 1
  • STAT S692 Internship in Statistical Consulting
  • DS DME Requirement
  • DS Domain 2
Third
  • DS DVS Requirement
  • DS Elective
  • STAT or DS Elective
  • DS Elective
  • STAT or DS Elective