Master of Science in the Field of Data Science

Data science, and the associated areas referred to as big data and data analytics, is a rapidly emerging technology field fueled by the dramatic growth in the amount of data being produced in most areas of society. The master of science in data science degree program allows students to study fundamental ideas that underlie the process of using data for problem solving and to apply the knowledge they gain to real-world scenarios. This is accomplished through elective coursework and partnerships with organizations in a variety of market areas, including health sciences, geography, cybersecurity, and public policy, to name a few.

Visit the program website for additional information.

Specific admission requirements are shown on the Graduate Program Finder.

The following requirements must be fulfilled:

The general requirements stated under Columbian College of Arts and Sciences, Graduate Programs.

30 credits, including 24 credits in required courses and 6 credits in elective courses.

Required
Core
DATS 6101Introduction to Data Science
DATS 6102Data Warehousing
DATS 6103Introduction to Data Mining
DATS 6501Data Science Capstone
Advanced
DATS 6202Machine Learning I: Algorithm Analysis
DATS 6203Machine Learning II: Data Analysis
DATS 6401Visualization of Complex Data
DATS 6402High Performance Computing and Parallel Computing
Electives
6 credits in elective courses from the following:
DATS 6201Numerical Linear Algebra and Optimization
DATS 6499Data Science Applied Research
DATS 6450Topics in Data Science
GEOG 6304Geographical Information Systems I
STAT 6210Data Analysis
STAT 6214Applied Linear Models
STAT 6242Modern Regression Analysis