PhD

Look for a research match

A doctorate asks you to stay with a difficult question long enough to make an original contribution. Before applying, think about whether you want that kind of work: reading deeply, narrowing a problem, learning methods, testing ideas, and revising an argument when the evidence changes. A PhD can support several kinds of career, but the research itself needs to make sense for you. Prestige and a broad interest in AI are not enough to define a sustainable project.

Turn a topic into a question by identifying what you do not yet understand. For example, “AI in small businesses” is a field of interest; a question about how a particular kind of firm evaluates the reliability of an AI system is a more focused starting point. Explain why answering it matters, who has already studied related questions, and what evidence could help. Your proposal will develop after admission, but this exercise makes supervisor conversations more useful.

Read the program’s instructions before deciding how to contact faculty. The UBC Computer Science PhD asks applicants to identify faculty they would like to work with and encourages contact, while stating that a prior supervisory commitment is unnecessary. Likewise, Haskayne’s PhD in Management admissions guidance says a supervisor need not be in place before applying and that faculty interest does not guarantee admission. These examples show why a general rule about “securing a supervisor” can mislead.

Compare the intellectual setting as well as the individual supervisor. A technical question might fit computer science, statistics, or engineering; a question about organizations’ use of technology might fit management, information systems, or another social science. Read the work of several faculty members and look for methods courses, seminars, and possible committee expertise. The Haskayne program structure offers one example of how theory, methods, research projects, and candidacy fit together in a management doctorate.

Use conversations with current students to understand day-to-day work, while treating individual experiences as partial evidence. Ask what feedback looks like, how students develop a topic, and what they wish they had understood before starting. Faculty availability, funding, and program capacity can change, so confirm the current arrangements through the formal application process.

Show how you work

Your application should give readers evidence that you can investigate a question carefully. Choose a writing sample or project you can explain in detail, even if it is modest in scope. Describe the problem, the reasoning behind your approach, your own contribution, and the limits of the result. If the work was collaborative, distinguish your role clearly and acknowledge the people who contributed.

Methods readiness depends on the question. A computational project may require programming and statistical foundations; an organizational study might require interviews, surveys, experiments, archival work, or a combination. Show the preparation you have and identify what you need to learn. Avoid presenting a long list of software names as a substitute for explaining how you made decisions about data, analysis, and interpretation.

The guide to ontology, epistemology, theory, and method helps you examine the assumptions behind those choices. Use its worked research example to consider whether your question, evidence, and intended contribution fit together.

For an empirical proposal, think through access before promising an ambitious study. Where would the evidence come from, who controls access, and what could you do if a dataset or partner becomes unavailable? Discuss research ethics, consent, and data-management needs with the institution where appropriate. You do not need to solve every administrative question before applying, but a feasible alternative can make the proposal more credible.

For a technical project, make the reasoning reproducible where you have permission to share it. Explain how you chose comparisons, evaluated errors, and checked whether the result depended on a particular assumption. A failed experiment or inconclusive analysis can still be useful evidence of research judgment if you can explain what it ruled out and how it changed your next step.

If you are coming from industry, identify the research question inside your experience. A recurring operational problem may expose a gap in existing explanations or methods, but the doctoral contribution needs to extend beyond fixing one organization’s immediate problem. Discuss that distinction with prospective supervisors. A short, thoughtful research memo can help them see the connection between your professional knowledge and an academic investigation.

Ask about the years ahead

Discuss supervision as an ongoing working relationship. Ask how meetings are arranged, how drafts receive feedback, and how your responsibilities will change as you become more independent. UBC’s supervision guidance provides a useful framework for talking about expectations, responsibilities, and support. Use it to prepare questions, then confirm the policies and arrangements at your own institution.

Read the program calendar for progression requirements. Find out how coursework, candidacy or comprehensive examinations, annual reviews, the proposal, and the dissertation fit together. Ask what happens if a project changes direction or a milestone takes longer than expected. A realistic plan includes the possibility of revision and time to learn; an advertised duration is only one part of understanding how the degree operates.

Ask for a funding plan that covers the relevant years, including renewal conditions, assistantship duties, tuition, and what happens if completion takes longer. The Canada Graduate Research Scholarship—Doctoral currently provides $40,000 annually for three years. International applicants must be enrolled in an eligible Canadian doctoral program by the application deadline and meet the remaining criteria. An award’s duration may differ from your degree’s duration, so a scholarship should be considered within the wider funding plan.

Discuss publications and professional development early. Ask how authorship is decided, what support exists for presenting work, and whether teaching or partner projects can fit alongside the dissertation. If you are interested in a career outside universities, say so and ask how students build relevant experience. Look for opportunities to practise explaining research to different audiences without losing the time needed to complete it.

Consider the conditions that help you do sustained work. Location, accessibility, family responsibilities, health support, and community can affect the experience as much as a research topic. Learn who can help when a supervisory issue arises and how to contact the graduate coordinator or student support office. Having more than one source of advice can help you make considered decisions over a long program.

Priority next steps

Prepare a short research memo that explains your question, why it matters, a possible approach, and the main uncertainty. Use the sample research proposal as a starting structure, then adapt it to the discipline and the application’s instructions. Ask a knowledgeable reader whether the question is understandable and whether the proposed evidence could answer it.

Build a focused shortlist using faculty publications, program calendars, and the institution directory and map. Record the contact process and actual deadlines for each option. A small number of well-understood programs is easier to compare than a long list based on reputation alone. Check that a named research area is active in the current program and that the necessary expertise is available.

Read about research collaboration and Tri-Agency and university funding before your conversations. The interview guidance can help you practise explaining your work and prepare your own questions. Revisit your shortlist after those conversations; the aim is an informed decision about the research and the years you would spend doing it.

Official doctoral program, supervision, and award pages reviewed on 13 October 2026. Examples support comparison; current institutional requirements and written offers determine admission and funding.