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 business leadership and communication course, two required courses corresponding to a declared specialization, two electives, and a capstone project or thesis. A specialization may be declared as part of the application process or may be declared at any time during a student’s tenure in the program. Students also have the option of choosing a general data science curriculum with no declared specialization. There are five specializations: Analytics and Modeling, Analytics Management, Artificial Intelligence, Data Engineering, and Technology Entrepreneurship

Curriculum

Core Courses (8 units)

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Students need to choose one of these eight course options to fulfill the business, leadership, communication requirement.  A student cannot fulfill a core and specialization requirement with the same course.

 

 

Electives (4 units)

About the Final Project

As their final course in the program, students take either a master's thesis project in an independent study format or a classroom final project class in which students integrate the knowledge they have gained in the core curriculum in a team project approved by the instructor. In both cases, students are guided by faculty in exploring the body of knowledge of data science. The master’s thesis or capstone class project count as one unit of credit.