Graduate Certificate


Professor pointing at a projected screen


The Graduate Certificate in Data Science explores the fundamentals of manipulating and presenting complex data, a highly sought qualification across private and public employers. Coursework includes advanced statistical analysis and data mining, machine learning and statistical computing.

Students pair rigorous classwork with real-world professional experience at numerous startups, international companies and agencies with connections to the Data Science Program.



Curriculum Focus Areas

Both the master’s degree and the graduate certificate program combine courses from four areas:

  • Methods: Basics of data management and data analytics; deep expertise in the programming languages essential for data science, including Python, JavaScript and R
  • Applications: Elective courses in data science applied to a specific knowledge domain, such as astrophysics, political science and geography
  • Skills: Teamwork, project management and communication skills
  • Technology: Hands-on exposure to data-mining and visualization software and languages


"Every physics lab has maybe one or two theoretical physicists, but there’s always a need for [data] people who can actually program and code, run the technical models and analyze the results of experiments."

Meghan Foster

Data Science Graduate Certificate ’17

Course Requirements

Credit earned in the certificate program may be applied to the MS in Data Science degree program.

The following requirements must be fulfilled: 12 credits, including 6 credits in required courses and 6 credits in elective courses.

Two courses from the following:
DATS 6101Introduction to Data Science
DATS 6102Data Warehousing
DATS 6103Introduction to Data Mining
Two additional DATS courses numbered 6000 or above.