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MS Analytics Curriculum

The 33-credit-hour MS Analytics is offered exclusively in a full-time format. It is designed to be completed in 12 to 24 months, depending on concentration.

The MS Analytics requires the completion of 18 credit hours of required foundational and analytical core courses and 12 credit hours of elective coursework. Students can select elective courses from one of seven specializations, such as financial analysis or marketing, or from a broad spectrum of approved analytical and business studies.

Applied classroom studies prepare students for the 3-credit-hour capstone experience, when they will work with an area organization on a real analytics project.

Core Courses

Students must complete 18 credit hours, not including the Capstone Experience, from these analytical foundation courses.

Analytics Readiness (0 graduate credit hours, online)

  • Analytics Readiness

Foundational Courses (9 graduate credit hours)

  • Management Information Systems
  • Applied Managerial Statistics
  • Database and Big Data

Analytical Core Courses (9 graduate credit hours)

  • Business Insights Through Analytics
  • Predictive Analytics
  • Business Intelligence

Capstone Experience (3 graduate credit hours, hands-on project)

Elective Courses

Students may choose from any approved electives within Kogod or another AU school, or select from one of the following areas of specialization.

Specialization Areas (Choose 12 graduate credit hours from one of the following areas of study)

  • Accounting Forensics
  • IT Consulting
  • Quantitative Financial Analysis 1
  • Quantitative Financial Analysis 2
  • Marketing
  • Computational Statistics
  • Biostatistics


Broad Spectrum Analytics Studies (12 graduate credit hours)

  • Business Fundamentals
  • Or students may choose any of the functional specialization courses, or approved graduate analytical course electives from Kogod and other AU schools.