Master of Science in Analytics

Master of Science in Analytics

Gain advanced training and the leadership edge using data to draw insights and solve problems.


Building from a core in applied statistics, the Master of Science in Analytics provides students with advanced analytical training, developing the ability to draw insights from big data. The curriculum offers a thorough exploration of state-of-the-art data-gathering tools, methods, and analytics.

Coursework focuses on:

  • Acquiring advanced proficiency in applying state-of-the-art database development and software skills to support a variety of analytics applications
  • Learning data collection and preparation methodologies including identifying relevant data sources and preparing data for analytics
  • Gaining an in-depth understanding of established and state-of-the-art modeling and data analysis techniques
  • Designing and implementing applied research by using analytics tools relevant to strategic business issues, while working with real data sets provided by our industry partners in the Capstone project
  • Building effective leadership and communication skills which includes developing impactful practical solutions and understanding the marriage between business and analytics strategy

Quick facts about the Master of Science in Analytics


Program Format

This degree is offered in-person part-time or full-time. There is no online option.

Starting Quarters

Autumn: August start.

Spring: February start.


Part-time: one and a half to two years.

Full-time: one year and three months. 

Course Structure

  • Stats Bootcamp
  • One or two foundational courses, depending on your experience
  • 11 core courses plus two capstone terms
  • Two electives

Typical Student

Two or more years of work experience


Gleacher Center, downtown Chicago


Find more info on our tuition page ›

Who should consider our program?

The MScA is intended for emerging analytics professionals and for those who wish to advance their careers in the field. The MScA is appropriate for a wide range of people including:

  • Professionals with backgrounds in fields like information technology, computer science, mathematics, and statistics who want to develop analytical skills to become a data scientist.
  • Professionals with backgrounds in social or biological sciences such as business, economics, medicine, and chemistry, or who have earned MBAs, who want to enhance their analytics skills for improved decision-making and leadership across their areas of responsibility.
  • Recent college graduates in physical or social sciences who want to become analytics professionals. Although the program suggests at least two years of work experience, recent college graduates with exceptional academic performance are encouraged to apply!

Build the intelligent future promised by analytics. Analytics extracts insights from massive amounts of data that can come from sensors placed in every device and place around us, posts to social media sites, purchase transaction records, video and audio recordings, and many more.

These insights enable an ordinary person to make decisions that are likely to be as good as, or in most cases, better than the decisions made by the most intelligent person who is not in the possession of such insights. 

These insights also operate machines that can make extremely fast and accurate decisions that would be impossible for any human being ever to make. For instance, a machine learning algorithm could stream data from sensors to detect unattended bag in an airport seconds after the bag is dropped. Master of Science in Analytics (MScA) Program of the University of Chicago Graham School educates students to develop these insights to build the intelligent future promised by analytics.