Intelligent Systems and Data Science (PhD)

Faculty of Mathematics and Science PhD

  • Main Campus

Our joint thesis-based Ph.D. in Intelligent Systems and Data Science (ISDS) targets the need for highly qualified scientists to tackle challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statistical/mathematical modelling & analytics, and big data infrastructure. Graduates will proceed to research and/or teaching careers in academia, industry, government, and the community.

Our Ph.D. in Intelligent Systems and Data Science is unique in many ways:

  • The degree title and focus areas are distinct throughout Ontario and Canada.
  • This interdisciplinary degree directly acknowledges the fundamental and intrinsic relationship between computer science, mathematics, and statistics.
  • The degree strives to foster a cohesive interdisciplinary program, and community of students.
  • The qualifying examination requires students to write a research grant application. This experience will give students unique training in grant preparation.
  • The program gives students the opportunity to gain experience in the development and application of advanced AI algorithms, complex software systems, data analytics tools, and statistical models.

 

Entry point:

  • January 2023
  • September 2023

*Please note, this program will have a one-time January entry point in 2023.  Following, the only entry option will be September.*

Duration:

  • Thesis – 12 terms (4 years)

This program is funded for the defined length above as outlined on our financial page.

Application deadline:

For January 2023 entry: August 1, 2022
For September 2023 entry: January 15, 2023

General program inquiries
Graduate program director
Ke Qiu
Graduate program coordinator
Elena Genkin

Apply now Graduate Studies at Brock

Graduate calendar Tuition and financial information

Program website Faculty research Faculty of Mathematics and Science

Admission requirements

  1. Check the university requirements and the program requirements.
  2. Complete the online application and submit the non-refundable application fee.
  3. You will need to submit your transcripts as well as the following program specific materials:
    • Three academic references
    • Statement of Research Interest that indicates potential supervisors
    • CV
    • GRE Scores (general or math test) optional

Career outcomes

Research and Teaching careers where they can tackle challenges in artificial intelligence and machine learning, mathematical modeling and analytics, and big data infrastructures:

  • Academia
  • Education
  • Government
  • Community

Research and Development Careers in Business and Industry where logical thinking, problem solving, and knowledge of qualitative methods are required:

  • Software Development
  • Information Technology
  • Startup companies
  • Business Intelligence
  • Insurances, Finances and Marketing
  • Medical and technological fields