Analytics and Modeling Specialization

Core courses for this specialization:

• MSDS 410-DL Supervised Learning Methods
• MSDS 411-DL Unsupervised Learning Methods

Elective courses closely aligned with this specialization:

• MSDS 413-DL Time Series Analysis and Forecasting
• MSDS 450-DL Marketing Data Science
• MSDS 451-DL Financial Machine Learning
• MSDS 452-DL Web and Network Data Science
• MSDS 454-DL Applied Probability and Simulation Modeling

Elective courses in sports analytics:

• MSDS 456-DL Sports Performance Analytics
• MSDS 457-DL Sports Management Analytics

Additional courses of interest to students in this specialization:

• MSDS 402-DL Research Design for Data Science
• MSDS 455-DL Data Visualization
• MSDS 491-DL Special Topics: SAS for Data Scientists

Most courses in the Analytics and Modeling specialization employ R as the primary language. So, students benefit from taking the R Learning Studio in advance of taking these courses. Also, MSDS 401-DL Applied Statistics with R is a prerequisite for most Analytics and Modeling courses.

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

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