Master's of Mathematics in Data Science (MMATH IN DS)

The building Math3 on the University of Waterloo

Combining knowledge from computer science, statistics, and optimization to solve the future's problems through this research-based thesis program.

The Master's of Mathematics (MMath) in Data Science is a research-based thesis Master’s program that will empower to build a highly applicable expertise in the field of data science. Through this program you will learn how to apply methods and when to use them, and eventually develop the ability to create original research and contribute to the advancement of data science capabilities.

You are expected to complete the program in four to six terms and will be supervised during the program by a faculty member in Data Science. The principal degree requirements include four courses and a thesis. To find out more information about supervisors, see the list of potential supervisors.

Supervisors

  • Review the finding a supervisor resources
  • Before applying to the program, students are strongly advised to establish contact with potential supervisors

Objectives of the Master's of Mathematics in Data Science:

  • Integrate knowledge from the fields of computer science, statistics, and optimization, to develop expertise in the field of data science
  • Enable students to understand not only how to apply certain methods, but when and why they are appropriate, so they can gain insight on how they may be adapted to create new and improved methods
  • Develop a thorough understanding of the methods and techniques data science professionals use to extract relevant and important information from data
  • Reach a level of expertise in an area of data science that enables you to develop original research contributions in a sub-field of data science
  • Learn to conduct field research by working under the supervision of a data science expert

Degree requirements

  • Review the degree requirements in the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree

Program highlights

  • Learn from internationally acclaimed researchers right on campus

  • Access to research-intensive lab spaces 

  • Opportunities to publish your work and present at top conferences seen by thousands

  • You own your work as Waterloo’s intellectual property (IP) policy means that everything you create is yours to keep 

Tuition and fees