Program Overview

Program Overview

The Master of Science in Applied Analytics (M.S.A.A.) is a degree program designed to equip students with the skills to drive the data analytics revolution. By leveraging modern analytical tools like machine learning and AI, students acquire the ability to solve real-world problems in various industries by identifying and communicating actionable data insights that inform business and policy decisions.

Program Focus

The program is ideal for recent college graduates and established professionals seeking to elevate their careers in a rapidly growing field. It readies students to help drive the data analytics revolution by leveraging the power of modern analytical tools.

Background Requirements

• Bachelor's degree from an accredited college/university
  • Minimum undergraduate GPA of 3.0
  • Provisional acceptance may be considered for students whose GPA is below 3.0
• Prerequisite courses:
  • Statistics
  • Calculus I

Program Modality and Structure

The program is offered in three modalities: on campus, online, or hybrid, and can be pursued full-time or part-time. It consists of 10 courses, totaling 30 credits.

Duration

• Full-time: 12 months
• Part-time: 20 months

Learning Outcomes

Upon completion of the program, students will be able to:

• Design analytic approaches to solve complex problems
• Understand and deploy advanced analytic techniques in search of actionable insights
• Use machine learning and artificial intelligence tools and approaches to leverage data for business and policy decisions
• Draw insights from analytics and communicate them clearly to non-technical audiences
• Drive real impact based on results and insights from analytics