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