To earn the Master of Science in Data Science (MSDS) degree, students complete twelve courses organized in groups as follows:

Six initial core courses:

• MSDS 400-DL Math for Modelers
• MSDS 401-DL Applied Statistics with R
• MSDS 420-DL Database Systems
• MSDS 422-DL Practical Machine Learning
• MSDS 460-DL Decision Analytics
• MSDS 485-DL Data Governance, Ethics, and Law

One additional core course selected from eight:

• MSDS 402-DL Research Design for Data Science
• MSDS 403-DL Data Science and Digital Transformation
• MSDS 470-DL Technology Entrepreneurship
• MSDS 472-DL Management Consulting
• MSDS 474-DL Accounting and Finance for Technology Managers
• MSDS 475-DL Project Management
• MSDS 476-DL Business Process Analytics
• MSDS 480-DL Business Leadership and Communications

Students can waive up to three core courses.

Language electives usually taken early in the program:

• MSDS 430-DL Python for Data Science
• MSDS 431-DL Data Engineering with Go

Most electives are associated with the five specializations:

• Analytics Management
• Analytics and Modeling
• Artificial Intelligence
• Data Engineering
• Technology Entrepreneurship

Special Topics and independent study electives offer additional options for completing MSDS program requirements:

• Special Topics and Independent Study

Electives may also be selected from the

• MSIS program

Students finish the program with one of these two courses:

• MSDS 498-DL Capstone or MSDS 590-DL Thesis

An overview of the MSDS program is provided with the curriculum map and complete set of course descriptions.

Back to the page for Degree Requirements.