Master of Science in Data Science

Overview

The M.S. in Data Science program is a regular, two-year (31 credits) master's program integrates a strong foundation in big data and analysis.

Students will learn state-of-the-art methods for working with big data, be exposed to cutting-edge methods and theory for forming the basis for next generation big data technology, and will complete a project demonstrating their usage of fundamental concepts of data science.

Students take multiple courses in each of the three focus areas (statistics, algorithmics, and infrastructure and large scale computing) plus electives.

All students have the opportunity to conduct research under the direction of a faculty member, culminating with the capstone project and poster at the annual Data Science Poster Fair.

Length of program

  • 31 credits

Admission requirements

All applicants for the data science M.S. program are required to have a four-year bachelor's degree from an accredited U.S. university of foreign equivalent at the time of enrollment. This must be well documented with a valid transcript. A bachelor's degree must be awarded by the time a student begins the program in the fall semester. Whatever the undergraduate major, the successful candidate must show they satisfy the prerequisites for admission.

Before starting your application, be sure to review the detailed admission requirements.

Key dates during the application cycle

Admission to the M.S. in Data Science program is for fall semester start ONLY.

  • March 1: Application deadline for fall admission for all domestic and international applicants

Applications submitted after the program deadline may not be considered.

How to apply

All degree applicants must apply online using the Office of Graduate Admissions system and all letter writers must use the online recommendation system. Please visit the Office of Graduate Studies for full Graduate School application instructions.