M.S. overview

The Master's of Science in Data Science program is a 31-credit master's program that integrates a strong foundation in big data and analysis.

Students will learn state-of-the-art methods for working with big data, be exposed to cutting-edge methods and theory for forming the basis for next generation big data technology. Students in the program will take multiple courses in each of the three focus areas (statistics, algorithmics, and infrastructure and large scale computing) plus electives.

The Data Science M.S. program offers two track options. The Plan B track allow students to complete a 1-2 semester capstone project demonstrating their usage of fundamental concepts of data science under the guidance of a faculty member.  The Plan C track is a coursework only option. For both tracks, students must take at least 25 credits of regular courses and may take up to 6 credits of directed research (Plan C track) or a combination of directed research and a capstone project (Plan B track). A recommended course load is 2-3 regular courses per Spring and Fall semester, so that a student can finish the program in 18 – 24 months. Advanced students may take up to 4 courses per courses per Spring and Fall semester and 6 credits of directed research in the summer semester to finish the program in 12 months.