Data Science

Degrees Offered

  • Master of Science in Data Science (Non-Thesis)
  • Graduate Certificate in Data Science - Statistical Learning
  • Graduate Certificate in Data Science - Earth Resources
  • Graduate Certificate in Petroleum Data Analytics
  • Graduate Certificate in Business Analytics
  • Post-Baccalaureate Certificate in Data Science - Foundations
  • Post Baccalaureate Certificate in Data Science - Computer Science

Program Description

The Master of Data Science (Non-Thesis) program is designed to give candidates a foundation in statistics and computer science and also provide knowledge in a particular application domain of science or engineering. The balance between these three elements is a strength of the program and can prepare candidates for Data Science careers in industry, government, or for further study at the PhD level. Throughout is an emphasis on working in teams, creative problem solving, and professional development.

The Data Science Certificates are designed for college graduates and professionals interested in the emerging field of Data Science as applied within their individual fields of study or industries.


Douglas Nychka, Applied Mathematics & Statistics

Paul Sava, Geophysics

Michael Wakin, Electrical Engineering

Professor of Practice

Jim Crompton, Petroleum Engineering

Associate Professors

Soutir Bandyopadhyay, Applied Mathematics and Statistics

Dorit Hammerling, Applied Mathematics & Statistics

Hua Wang, Computer Science

Teaching Associate Professor

Wendy Fisher, Computer Science

Research Professor

Alfred William (Bill) Eustes, III, Petroleum Engineering

Research Associate Professor

Zane Jobe, Geology and Geological Engineering