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.
You need to apply and be admitted by both the data science and statistics admission committees.
Combining the degrees means you can graduate with 52 credit hours, instead of the 61 credit hours it would take to earn the degrees separately.
Students need to fulfill the following requirements.
Below are several sample degree paths students could take.
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.
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This path is for students who may need bolster their knowledge in data science.
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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.
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