Data Analytics

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The Masters of Science in Data Analytics (MSDA) offers students extensive knowledge in the collection, organization, and analysis of large data sets. The core curriculum covers essential skills in descriptive, predictive, and prescriptive analytics. MSDA students then have the opportunity to select one of two tracks for in-depth study. The Business Analytics track prepares students to make data-driven decisions at the managerial or strategic level. This track is more applied, with hands-on projects and a required practicum or internship. The Technology and Computation track prepares students to develop and maintain infrastructure that drives data-driven decisions. This track provides specific mathematical, programming, and information systems skills.

There are two options for admission to the MSDA degree program: concurrent and direct. If admitted to the concurrent program, a student may obtain both his undergraduate degree and his graduate degree at the completion of the program.

Programs

• Masters of Science in Data Analytics, M.S.

Courses

• DABE 529 - Internship-Data Analytics
• DABE 531 - Visualization & Communication
• DABE 532 - Operations Research
• DABE 533 - Marketing Analytics
• DABE 534 - Financial Analytics
• DABE 535 - Econometrics
• DABE 536 - Statistical Proc Control/Six Sigma
• DABE 538 - Project Managment
• DABE 539 - Internship - Data Analytics
• DABE 579 - Data Analytics Special Topics
• DAIC 531 - Data Mining
• DAIC 532 - Database Design
• DAIC 533 - Cyber Security
• DAIC 534 - Advanced Data Mining
• DAIC 539 - Technology & Computation Internship
• DAST 531 - Advanced Statistical Methods I
• DAST 532 - Advanced Statistical Methods II
• DAST 533 - Bayesian Statistics
• DAST 534 - Mathematical Statistics
• DAST 535 - Computational Methods & Approx
• DAST 536 - Data Analysis with R
• DAST 539 - Internship-Data Analytics

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