Accelerated Data Science Curriculum & Specializations

The Master of Science in Data Science program requires the successful completion of 12 courses to obtain a degree. These requirements cover six core courses, a data governance course, two required courses corresponding to a declared specialization, two electives, and a capstone project. Students are registered for three courses per term and will complete the degree within four terms.

As part of the application process, students will choose one of five specializations: Analytics and Modeling, Artificial Intelligence, Data Engineering, Analytics Management, or Technology Entrepreneurship.  Anticipated core courses and courses within each specialization are listed below.

Please see the academic catalog for additional information regarding the curriculum. Current students should refer to curriculum requirements in place at time of entry into the program.

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Curriculum for each Specialization

See below for the recommended course plan by quarter for each specialization.  Each specialization has two required courses that are in bold.  The recommended electives are in italics. Course descriptions are also listed below. Course codes that end in "-0" (e.g. 401-0) are on-campus courses. Course codes ending in "-DL" indicate online courses.

Please note that course offerings subject to change based on instructor availability.


Analytics and Modeling


Analytics Management


Artificial Intelligence


Data Engineering


Technology Entrepreneurship

Specializations

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