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Master’s in Business Data Science and Analytics Curriculum

Building business intelligence in a data-driven world.

The M.S. in Business Data Science and Analytics program focuses on three core areas:

  • Training our students to be leaders in data management process and business analytics approaches
  • Providing our students with experiential project management opportunities using live data sets for analysis and application
  • Developing students’ expertise in key data management areas such as:
    • Data mining
    • Marketing technology, website analytics and social network analytics
    • Applied statistical approaches
    • How to interpret and communicate data analysis

The business analytics courses listed are delivered as a full-time, fixed curriculum, cohort-based program. Students will start in January (spring) and graduate the following December (fall).

We register students for all their data and business analytics classes. Please see the academic calendar for specific dates and deadlines on MSU scheduling.

Students must maintain a cumulative grade-point average of 3.0 or higher in all graduate courses. For more information, please refer to the handbook:

Master’s BDSA Student Handbook

Sample Resume Template

Spring Semester

Summer Semester

Fall Semester