Successful applicants to the MSDS come from many different undergraduate backgrounds, including degrees in Statistics, Computer Science, Mathematics, Engineering, Economics, Business, Biology, Physics and Psychology.
Regardless of degree, we require specific and substantial knowledge of certain mathematical competencies, and some training in programming and basic computer science.To be considered for the program, you will be required to have completed the following (or equivalents):
Calculus I: limits, derivatives, series, integrals, etc.
Intro to Computer Science (or an equivalent “CS-101” programming course): We have no set requirements as regards specific languages, but we generally expect serious academic and/or professional experience with Python and/or R at a minimum.
One of Calculus II, Probability, Statistics, or an advanced physics, engineering, or econometrics course with heavy mathematical content Preference is given to applicants with prior exposure to machine learning, computational statistics, data mining, large-scale scientific computing, operations research (either in an academic or professional context), as well as to applicants with significantly more mathematical and/or computer science training than the minimum requirements listed above.
Very much welcoming evidence of relevant work experience—and clear employment goals once the MSDS is completed—in data science. Past experience and career aspiration goals can be related to commercial industry, government, academia or some other sector.