The objective of the PhD in Computational Sciences is to produce interdisciplinary scholars who are capable of tackling emerging problems in the sciences and humanities through investigation, advanced research and application of current computer technologies. Students in the program will have the opportunity to study computer science within the context of another discipline commensurate with their own interests and career goals.
Interdisciplinary Studies Tailored to Your Goals
Students in the program study computer science within the context of another discipline, including fields like Economics, Engineering, Geography, Integrative Biology, Psychology, and Veterinary Medicine, and more.
Enhance Your PhD with a One Health Specialization
Applicants also have the option to apply for a collaborative specialization in One Health while pursuing a thesis-based PhD degree in Computational Sciences.
Comprehensive, Thesis-Based Program
Full-time program, typically completed over four years, during which student complete a number of courses, give two public seminars, pass a qualifying exam, conduct research and defend a written dissertation at the final oral examination.
The PhD in Computational Sciences is a full-time, four-year program (12 semesters of continuous enrollment) during which students will complete the Technical and Communication Research Methodology course (CIS*6890) and any additional graded courses or modules assigned by their Advisory Committee. Students will also give two public seminars, pass a qualifying exam, conduct research and successfully defend a written PhD thesis at the final oral examination. We also offer the option to complete the PhD with a collaborative specialization in One Health. Our PhD will prepare students for both academia and industry.
Each PhD candidate will conduct thesis research by working closely with TWO chosen faculty research advisors, a School of Computer Science (SoCS) advisor and an Application Discipline (AD) co-advisor (from discipline outside of computer science), who will share equal responsibility in supervising the candidate's research.
Any interdisciplinary area of research that emphasizes computational research.
Sample Research Disciplines
Students in the program will have the opportunity to study computer science within the context of another discipline commensurate with their own interests and career goals. These disciplines include but are not limited to the following: Economics, Engineering, English, Geography, History, Integrative Biology, Mathematics and Statistics, Pathobiology, Psychology, and Veterinary Medicine.
Review the School of Computer Science (SoCS) faculty and related research areas to help you identify and connect with a suitable faculty research advisor
- Academia (professor)
- Data engineering
- Machine learning
- Software development
- User interface analysis
Tuition Fees
Visit Guelph Graduate Fees for the approximate costs of studying at the University of Guelph. Please also review the cost of living information for domestic and international students to determine the approximate cost of living fees (as these are in addition to tuition).
Guaranteed Funding
Normally, PhD students are (at minimum) partially funded by the School of Computer Science. That is, a minimum funding stipend of $25,000 per year (maximum 4 years) is guaranteed to all international and domestic PhD students who are able to secure a graduate faculty advisor and admission to the program. Funding is provided as a combination of Graduate Teaching Assistantships (GTAs) and Graduate Research Assistantships (GRA).
Scholarships
Applicants are strongly encouraged to apply for the following scholarships:
- Natural Sciences and Engineering Research Council (NSERC): Domestic students only; deadlines are normally in the fall
- Ontario Graduate Scholarship (OGS): Domestic and International students; deadlines are normally in early winter
For more information about types of funding and scholarships available, please visit SoCS fees, funding and scholarships.

