Doctor of Philosophy in Intelligent Systems and Data Science

The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that targets the need for highly qualified scientists to tackle challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statisticalmathematical modelling & analytics, and big data infrastructure.

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.

Students holding an MSc in Computer Science, Mathematics, Statistics, or a closely related discipline with a minimum 80% overall average from an accredited institution. (ii) Students currently in the MSc program may apply to transfer into the PhD program after one year of study if they have completed the required number of courses in their program with an average of at least 80% and have shown significant research progress as determined by their supervisory committee and graduate program committee. (iii) In exceptional cases, students may be admitted into the PhD program with a four-year Honours Bachelor's degree, or the equivalent, with an overall average of at least an 85%.


IELTS - Minimum overall score of 6.5, with no subtest below 5.5. TOEFL iBT - Minimum overall score of 80, with no subtest below 19.