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Note: ɬÀ﷬’s new Course Catalogue will replace the eCalendar. The Course Catalogue is expected to go live the week of April 22nd. When the new site is published, "mcgill.ca/study" will be redirected to the new Course Catalogue website.

Course information on this site is not reflective of offerings for the 2025–2026 academic year. Some irregularities may occur as we move operations to the incoming Course Catalogue.

Graduate Certificate (Gr. Cert.) Data-Driven Decision Making (15 credits)

Offered by: Technology & Innovation     Degree: GC-DDM

Program Requirements

The 15-credit Graduate Certificate in Data-Driven Decision Making is designed to provide the fundamentals of computational intelligence focusing on leadership roles in increasingly digital organizations operating in the numerous fields that need to make data-driven decisions such as digital healthcare, maintenance of critical infrastructure, or dynamic supply management. The program is offered online with synchronous course activities.

Required Courses (9 credits)

  • CCCS 640 Applied Decision Science (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Overview

    Computer Science (CCE) : Analysis of concepts, tools, and techniques provided by mathematical and computational sciences for decision making in its diverse formats. Examination of decision science techniques and their applicability.

    Terms: This course is not scheduled for the 2024-2025 academic year.

    Instructors: There are no professors associated with this course for the 2024-2025 academic year.

    • Not open to students who have taken CMS2 505.

    • Course may be offered in person or online with synchronous and asynchronous activities.

  • CCCS 650 Applied Data Science (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Overview

    Computer Science (CCE) : Analysis of techniques provided by statistics and computational sciences for machine learning and data science. Examination of real-world applications.

    Terms: Winter 2025

    Instructors: Beitinjaneh, Nabil (Winter)

    • Not open to students who have taken CMS2 529.

    • Course includes synchronous activities.

  • CCCS 660 Computational Intelligence (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Overview

    Computer Science (CCE) : Analysis of tools provided by mathematical and computational sciences for artificial intelligence as well as an examination of the numerous contexts in which computational intelligence can be applied.

    Terms: This course is not scheduled for the 2024-2025 academic year.

    Instructors: There are no professors associated with this course for the 2024-2025 academic year.

    • Course includes synchronous activities.

Complementary Courses (6 credits)

6 credits from:

  • CCCS 670 Information Visualization (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Administered by: Graduate Studies

    Overview

    Computer Science (CCE) : Examination of the application of computational and mathematical concepts, tools, and techniques to visualize quantitative multi-dimensional information. Qualitative information in static, animated, and interactive digital formats. Guidelines and best practices from cognitive psychology, UX, and graphic design, including dashboard tools and storytelling methods.

    Terms: Summer 2025

    Instructors: Beitinjaneh, Nabil (Summer)

    • Course includes synchronous activities.

  • CCCS 680 Scalable Data Analysis (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Overview

    Computer Science (CCE) : Concepts, tools, and metrics related to scaling up data analysis to handle massive amounts of data. Examination of methods for enabling technologies and applications such as big data and cloud computing.

    Terms: Winter 2025

    Instructors: Havas, Michael (Winter)

    • Not open to students who have taken CMIS 550.

    • Course includes synchronous activities.

  • CCCS 690 Applied Computational Research (3 credits)

    Offered by: Technology & Innovation (School of Continuing Studies)

    Overview

    Computer Science (CCE) : Analysis of a real-world case study of choice. Examination of version-controlled repositories and project management tools for tracking the tasks. Identification, formulation, and application of data-driven projects in areas of interest.

    Terms: This course is not scheduled for the 2024-2025 academic year.

    Instructors: There are no professors associated with this course for the 2024-2025 academic year.

Or another 600-level course offered by the School of Continuous Studies and approved by the academic unit.

École d'éducation permanente—2024-2025 (last updated Jun. 4, 2024) (disclaimer)
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