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.

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.

DATS 6101Introduction to Data Science
DATS 6102Data Warehousing
DATS 6103Introduction to Data Mining
DATS 6501Data Science Capstone
At least two of the following:
DATS 6201Numerical Linear Algebra and Optimization
DATS 6202Machine Learning I: Algorithm Analysis
MATH 6522Introduction to Numerical Analysis
STAT 6201Mathematical Statistics I
STAT 6207Methods of Statistical Computing I
STAT 6210Data Analysis
STAT 6214Applied Linear Models
STAT 6216Applied Multivariate Analysis II
STAT 6242Modern Regression Analysis
At least two of the following:
DATS 6203Machine Learning II: Data Analysis
STAT 6202Mathematical Statistics II
STAT 6223Bayesian Statistics: Theory and Applications
STAT 6289Topics in Statistics
At least two of the following:
DATS 6401Visualization of Complex Data
DATS 6402High Performance Computing and Parallel Computing
DATS 6450Topics in Data Science
ECON 8375Econometrics I
ECON 8376Econometrics II
ECON 8377Econometrics III
ECON 8378Economic Forecasting
GEOG 6304Geographical Information Systems I
GEOG 6307Digital Image Processing
PSC 8132Network Analysis
PSC 8185Topics in Empirical and Formal Political Analysis