Welcome to Management Sciences at the University of Waterloo

Management Sciences is an academic department within the Faculty of Engineering that offers an undergraduate Bachelor of Applied Science (BASc) degree in management engineering, an undergraduate option in management sciences, and both research and course-based graduate degree programs. 

Management sciences is a broad interdisciplinary study of problem solving and decision making in organizations. It uses a combination of analytical models, data science, and behavioural sciences to address societies' most complex problems.

Conducting meaningful research that will impact industries and economies, our students and faculty work under three core areas of specialization: applied operations research, information systems, and management of technology. 

  1. Feb. 12, 2018Tech giant Amazon backs professor's AI researchOlga Vechtomova

    Olga Vechtomova was the sole Canadian granted funding through the Amazon Research Awards program for faculty members at academic institutions in North America and Europe. There were 49 winners in all selected from proposals submitted in 2017.

  2. Jan. 30, 2018Fourth year students win 3rd prize at 2018 Ontario Engineering CompetitionTeam picture receiving their award

    Fourth year management engineering students Stefanno Da Silva, Shivam Sharma, Tara Tsang, and Julie Yu placed third at the 2018 Ontario Engineering Competition (OEC) in the Innovative Design category. This year OEC was held at the University of Ottawa from January 26 - 28. Their project is to develop a group trip planning application and is supervised by Professor Stan Dimitrov.

  3. Dec. 1, 2017A day in the life of Cynthia Waltho

    Cynthia Waltho, a PhD candidate in Management Sciences, was recently featured in a video highlighting what it's like to be a graduate student at the University of Waterloo.

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  1. Mar. 26, 2018Management Sciences Seminar | Jonathan Yu-Meng Li: "Optimization for Measuring Risk in Stochastic Programs"

    Accounting for the adverse impact of "non-average" events has become essential in many applications involving decision making under uncertainty. Its implementation through decision models, namely stochastic programs, requires careful measurement of risk that reflects one's concern about uncertain outcomes. Important theories such as convex risk measures outline conditions required for risk measurement but provide little guidance for cases not meeting the conditions. Unfortunately, such cases are more than common in real-life situations.

  2. Apr. 3, 2018PhD Defence | Tiffany Bayley: "Lot-Sizing of Several Multi-Product Families"

    Supervisor: James Bookbinder

  3. Apr. 16, 2018PhD Defence | Burak Can Yildiz: "Models and Solution Methods for Mixed-Case Pallet"


    Samir Elhedhli

    Fatma Gzara

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