Foundations of Data Science (MS): Computer Science Concentration

Degree Requirements

Course List
Code	Title	Hours
Required Courses		21
Statistics Core
ST 503	Fundamentals of Linear Models and Regression
ST 517	Applied Statistical Methods I
Mathematics Core (choose two of the following)
MA 523	Linear Transformations and Matrix Theory
MA 540	Uncertainty Quantification for Physical and Biological Models
MA 542	Convex Optimization Methods in Data Science
Computer Science core
CSC 505	Design and Analysis Of Algorithms
CSC 540	Database Management Concepts and Systems
Machine Learning core (choose one of the following)
ST 563	Introduction to Statistical Learning
CSC 522	Automated Learning and Data Analysis
Concentration Electives		9
A minimum of 9 hours of elective courses must be taken from the following courses:
CSC 520	Artificial Intelligence I
CSC 542	Neural Networks and Deep Learning
CSC 555	Social Computing and Decentralized Artificial Intelligence
CSC 580	Numerical Analysis I
CSC 584	Building Game AI
CSC 722	Advanced Topics in Machine Learning
Total Hours		30