Program Overview

To Start, You Need:

  • A bachelor’s degree from a regionally accredited school (or international equivalent) in mathematics, business, computer science, information systems, the sciences, health science, quantitative social science or related field or relevant work experience
  • GRE, GMAT, or LSAT test scores (not required for those with a master’s degree)

Finishing Will Take:

  • Five to six semesters over two years
    • Includes two summer terms
  • 36 credits
    • 30 course credits
    • Three practicum credits
    • Four credits in either electives or more practicum experience
    • Practicum presentation

You Can Begin Your Degree In:

You Will Take Classes:

  • Online
  • One short visit to campus each year
  • That combine rigorous study of mathematics or science with workplace skills like communications and project management, requirements of Professional Science Master’s programs

Technology You Will Need Includes:

  • Access to a computer with the following recommended hardware specifications
    • Windows
      • One of the following: Windows 8, Windows 8 Pro, Windows 7 Ultimate Edition, Windows 7 Professional Edition, Windows Vista Ultimate Edition, or Windows Vista Business Edition
      • One of the following: 1.5GHz Pentium M processor or better, an Intel Core Duo/Core 2 Duo processor, or an Intel Core i5/i7 processor
      • 8 GB RAM or more
      • 80 GB hard drive or larger
    • Mac
      • Mac OS X version 10.6 or later
      • Intel Core Duo/Core 2 Duo processor (includes older MacBooks and MacBook Pros) or an Intel Core i5/i7 processor (includes current MacBook Airs and MacBook Pros)
      • 8 GB RAM or more
      • 80 GB hard drive or larger
  • A high-speed Internet connection
  • Microsoft Office, covered by the Microsoft Campus Agreement
  • A webcam
  • A microphone

What You Will Learn

  • Analysis of large, complex data sets in the context of real-world business problems
  • Application and fine tuning of computing resources for data analysis, including programming and industry-standard tool use
  • Development and implementation of data analysis strategies based on theoretical principles and detailed knowledge of the underlying data
  • Generation of actionable intelligence for decision making
  • Clear and professional communication of nuanced analysis results to a diverse, varyingly technical audience
  • Rigorous application of mathematical principles to the analysis of data
  • Evaluation, implementation, and the assessment of the application of technology solutions for data analysis
  • Planning, directing, and evaluating the status of complex projects
  • How to transform innovative data-centered concepts into concrete products and services
  • Professional writing techniques
  • Entrepreneurial business skills (optional)
  • Working knowledge of probability, applied statistics, applied linear algebra, computer programming, databases, and systems analysis