The Masters of Science in Applied Data Science is designed to train professionals to manage, manipulate and analyze potentially complex datasets and communicate these findings to managers and other personnel. The program consists of a standard core curriculum that includes training in mathematics, statistics, and computer science; a team-oriented capstone project in partnership with an industrial collaborator; and the option to individualize the program by concentrating on one of six possible focus areas.

Core Curriculum: 27 credits All core courses are 3-credit courses. CSCI 5000 - Data Management (3 credits) CSCI 5260 - Artificial Intelligence (3 credits) CSCI 5270 - Machine Learning (3 credits) MATH 5830 - Analytics and Predictive Modeling (3 credits) STAT 5047 - Mathematical Statistics I (3 credits) STAT 5710 - Statistical Methods I (3 credits) STAT 5720 - Statistical Methods II (3 credits) STAT 5730 - Applied Multivariate Statistical Analysis (3 credits) STAT 5910 - Internship Experience in Data Science I (3 credits).