Program of Study for the Master of Science in Applied Data Analytics

Admission Requirements: Baccalaureate degree from an accredited college or university; complete application to the Graduate School ; official general GMAT or GRE exam scores; evidence of knowledge in statistics, financial accounting, economics, corporate finance, marketing, and organizational behavior through course work, work experience or completion of the accelerated prerequisite program before taking graduate course work in those subjects.

To be considered for admission, applicants must meet the criteria for admission to the Graduate School. Meeting these criteria does not guarantee acceptance.

Location: On Campus

Course Requirements for the Master of Science in Applied Data Analytics

Concentration Requirements (9 Hours)

Choose 9 hours from the following list; other course options require permission form the program director and permission of the home department for the course.

• BIO 5777 - Biostatistics (4)
• C S 5710 - Data Mining and Knowledge Discovery in Scientific Data (3)
• GHY 5812 - Advanced GIS (3)
• MAT 5340 - Introduction to Operations Research (3)
• MBA 5020 - International Experience (3) (Focus of experience - Analytics)
• MBA 5870 - Analytical Models for Supply Chain Management (3)
• MBA 5680 - Six Sigma, Lean and Quality Management (3)

Other Requirements for the MS in Applied Data Analytics

• Thesis: Optional
• Proficiency: Not required
• Candidacy: Required
  • Students must demonstrate knowledge and ability in technology, statistical methods, business case analysis and professional presentation skills through a program level final project reviewed presentation.
• Comprehensive: Not required
• Product of Learning: Not required