Program Overview

The MS Data Science program is designed to train students in the rapidly growing field of data science which lies at the intersection of statistical methodologies, computational science, and several wide-ranging application domains. The curriculum is based on core data science courses and technical electives providing opportunities to build knowledge and professional skills in various data science areas that are highly sought after in the current job market, business processes, determination of data provenance and data ownership, understanding the ecosystem of the business decisions, skill sets and tools that shape the data, making data amenable to analytics, identifying sub-problems, recognizing the technology matrix required for problem resolution, creating incrementally-complex data-driven models and then maintaining them to ultimately leverage them for business growth. During the program students will gain and build upon theoretical and conceptual foundations of key data science tasks, as well as learn to use data analysis tools to discover hidden useful patterns and relationships in data. The program will equip students to process large and complex data sets through computational, statistical and machine learning techniques, thereby extracting knowledge and gain actionable insights from huge amounts of data.