phd statistics scholarships in canada

• Doctor of Philosophy in Statistics (PhD)
• Graduate School
• Prospective Students
• Graduate Degree Programs

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Established in 1983, the Department of Statistics at UBC is internationally renowned for its excellence in research and the high calibre of its faculty members. Our programs offers students different options for pursuing their interests and professional goals. Students completing our PhD program will be well-prepared for a job in industry, government or academia. During their program our students develop important professional skills that include: effective communication skills for both technical and non-technical audiences, creativity and originality, and grant writing skills, among others. They also acquire a broad knowledge of modern statistical methods, including computing and data management.

For specific program requirements, please refer to the departmental program website

What makes the program unique?

The Department is renowned in Canada for its research excellence and its leadership in the research community. Students are engaged through both courses and research, and develop a strong set of skills, both applied and theoretical. The Department has always valued data driven research, consulting and collaboration, and has long held communication and computing skills as crucial for success. Graduate students participate actively in our research, teaching and consulting activities, and enjoy a wide variety of opportunities for interaction with other researchers and students on- and off-campus. In addition, our graduate students run their own statistical consulting service, which provides them with professional (paid) experience even before they finish their program.

We have recently introduced a highly innovative qualifying process – instead of writing an exam, first year PhD students register in a reading and research course where they work on research papers proposed by individual faculty members.

UBC is one of a few Canadian universities that has a dedicated statistics department, which means that we cover an impressive range of statistics-related research. UBC's offering of vast selection of different theoretical and applied topics in both research and coursework was an important attracting factor.

Quick Facts

Program enquiries, admission information & requirements, 1) check eligibility, minimum academic requirements.

The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:

• Canada or the United States
• International countries other than the United States

Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.

English Language Test

Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.

Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:

TOEFL: Test of English as a Foreign Language - internet-based

Overall score requirement : 100

IELTS: International English Language Testing System

Overall score requirement : 7.5

Other Test Scores

Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:

The GRE is not required.

Prior degree, course and other requirements

Course requirements.

Successful PhD applicants typically have an MSc in Statistics or an MSc or PhD in Mathematics with strong evidence of interest in statistics. A student with only a Bachelors degree cannot usually be admitted to our PhD program, but rather must first enter the MSc program, either first completing the MSc or applying for transfer to the PhD after one year. If you have only had a few courses in statistics, your application to the PhD program will not be successful. For admission to the PhD program, the Admissions committee requires the following, in addition to the requirements for admission to the MSc program. a course in advanced statistical inference courses in rigorous mathematics at least 3 of the following courses at the graduate level: stochastic processes, advanced probability, mathematical statistics, linear models The above requirements are in addition to the minimum admission requirements of the Faculty of Graduate and Postdoctoral Studies. Please note that meeting our admission requirements does not guarantee admission. The following background will strengthen the application. courses in real analysis, and possibly measure theory, advanced probability (limit theorems, sigma fields); a broad range of courses in statistical methods (e.g., some topics among statistical computing, Bayesian statistics, generalized linear models, time series, multivariate statistics); undergraduate or graduate computer science courses; research or work experience relevant to statistics; solid programming experience (e.g., C, C++, Fortran, Python, R, SAS, Matlab).

Document Requirements

We require a 2 page (maximum) statement of interest/research proposal, as well as a CV.

2) Meet Deadlines

September 2025 intake, application open date, canadian applicants, international applicants, deadline explanations.

Deadline to submit online application. No changes can be made to the application after submission.

Deadline to upload scans of official transcripts through the applicant portal in support of a submitted application. Information for accessing the applicant portal will be provided after submitting an online application for admission.

Deadline for the referees identified in the application for admission to submit references. See Letters of Reference for more information.

3) Prepare Application

Transcripts.

All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.

Letters of Reference

A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.

Statement of Interest

Many programs require a statement of interest , sometimes called a "statement of intent", "description of research interests" or something similar.

• Supervision

Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.

Instructions regarding thesis supervisor contact for Doctor of Philosophy in Statistics (PhD)

Citizenship verification.

Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.

4) Apply Online

All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.

Research Information

Research focus.

Faculty are conducting research in a variety of applied an theoretical areas, such as Bayesian Statistics, Bioinformatics, Biostatistics, Environmental and Spatial Statistics, Forest Products Stochastic Modeling, Modern multivariate and time series analysis, robust statistics, and Statistical learning. Further details can be found on our website: https://www.stat.ubc.ca/research-areas

Program Components

During the first year of the program, students will complete Stat 548, the Qualifying Course. This directed reading course consists of reading and reporting on five papers under the supervision of different faculty members. This unique course allows students the opportunity to explore a diverse range of Statistical topics and work with different faculty members before committing to a supervisor and thesis research topic. The PhD Comprehensive Exam will take place by the end of the second year in the program. This exam lays the groundwork for the PhD thesis, which consists of independent original research. Students are expected to have completed all required courses before the Comprehensive Exam. Near the end of thesis completion, students present their work at the Department Seminar.

Tuition & Financial Support

Financial Support

Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.

Program Funding Packages

PhD students in the Department of Statistics receive a minimum funding package of $24,000 for the first four years of the program. This funding comes in the form of teaching and/or research assistantships. Motivated students can often find additional sources of funding. Domestic students are expected to apply for NSERC PGSD scholarships. 

Average Funding

• 17 students received Teaching Assistantships. Average TA funding based on 17 students was $13,833.
• 26 students received Research Assistantships. Average RA funding based on 26 students was $17,379.
• 10 students received Academic Assistantships. Average AA funding based on 10 students was $2,356.
• 28 students received internal awards. Average internal award funding based on 28 students was $13,003.
• 4 students received external awards. Average external award funding based on 4 students was $28,323.

Scholarships & awards (merit-based funding)

All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.

Graduate Research Assistantships (GRA)

Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their supervision. The duties constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is considered a form of fellowship for a period of graduate study and is therefore not covered by a collective agreement. Stipends vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded.

Graduate Teaching Assistantships (GTA)

Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union .

Graduate Academic Assistantships (GAA)

Academic Assistantships are employment opportunities to perform work that is relevant to the university or to an individual faculty member, but not to support the student’s graduate research and thesis. Wages are considered regular earnings and when paid monthly, include vacation pay.

Financial aid (need-based funding)

Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans .

All students may be able to access private sector or bank loans.

Foreign government scholarships

Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.

Working while studying

The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.

International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 20 hours a week.

A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement .

Tax credits and RRSP withdrawals

Students with taxable income in Canada may be able to claim federal or provincial tax credits.

Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.

Please review Filing taxes in Canada on the student services website for more information.

Cost Estimator

Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.

Career Outcomes

31 students graduated between 2005 and 2013. Of these, career information was obtained for 29 alumni (based on research conducted between Feb-May 2016):

Sample Employers in Higher Education

Sample employers outside higher education, sample job titles outside higher education, phd career outcome survey, career options.

Our students are prepared for a successful career in industry, academia or the public sector. Former students looking for a job after graduation have been promptly offered employment in many different industries, universities and government agencies. Please view a list of alumni and their first positions after graduation on our website.

Enrolment, Duration & Other Stats

These statistics show data for the Doctor of Philosophy in Statistics (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.

ENROLMENT DATA

Completion Rates & Times

• Research Supervisors

This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.

• Auger-Methe, Marie (Fisheries sciences; Statistics; Zoology; Animal movement; Polar ecology; Statistical Ecology)
• Bloem-Reddy, Benjamin (developing methods for evolving networks whose history is unobserved; distributional limits of preferential attachment networks; uses of symmetry in statistics, computation, and machine learning)
• Bouchard-Cote, Alexandre (machine/statistical learning; mathematical side of the subject as well as in applications in linguistics and biology)
• Campbell, Trevor (automated, scalable Bayesian inference algorithms; Bayesian nonparametrics; streaming data; Bayesian theory; Probabilistic Inference; computational statistics; large-scale data)
• Chen, Jiahua (Statistical theory and modeling; empirical likelihood; finite mixture model; sample survey; asymptotic theory; imputation)
• Cohen Freue, Gabriela (statistical genomics (focus in proteomics), robust estimation and inference, linear models with endogeneity )
• Gao, Lucy (Statistics; Selective Inference; Inference x Unsupervised Learning; Statistics x Optimization)
• Gustafson, Paul (Statistics; meta-analysis; Parametric and Non-Parametric Inference; Theoretical Statistics; Pharmacoepidemiology; Bayesian statistical methods; Biostatistics and Epidemiology; Causal inference; Evidence synthesis; Partial Identification)
• Joe, Harry Sue Wah (Statistics; Statistics and Probabilities; copula construction; dependence modelling; extreme value inference; non-normal time series; parsimonous high-dimensional dependence)
• Korthauer, Keegan (Bioinformatics; Genomics; Statistics; Epigenomics; Single-cell analysis; Statistical genomics)
• McDonald, Daniel (High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation)
• Nolde, Natalia (Statistics; Statistics and Probabilities; Applications in finance, insurance, geosciences; Multivariate extreme value theory; Risk assessment)
• Park, Yongjin (Other basic medicine and life sciences; High dimensional data analysis; Biostatistical methods; Bioinformatics; single-cell genomics; Computational Biology; Causal inference; Bayesian machine learning)
• Pleiss, Geoffrey (Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning)
• Salibian-Barrera, Matias (S-regression estimationg, robust statistics, functional principal component analysis, bootstrap estimators, rgam, clustering algorithm)
• Welch, William (Computational methods in statistics; Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign)
• Wu, Lang (Biostatistical methods; Longitudinal data analysis, mixed effects models, missing data, hypothesis testing, biostatistics)

Doctoral Citations

Sample Thesis Submissions

• Hidden at the root : statistical methods for population size estimation on trees
• Automatic massively parallel Markov chain Monte Carlo with quantifiable error
• Extreme value modelling with application to reverse stress testing
• Dependence modeling in high dimensions with latent variables
• Bayesian causal inference for discrete data
• Interpretable latent variable models for high-dimensional biological data analysis
• Margin-closed and regime-switching multivariate time series models
• Conditional inferences and predictions based on copula models
• Bayesian models for hierarchical clustering of network data
• A data-driven ensemble framework for modeling high-dimensional data : theory, methods, algorithms, and applications : [supplementary material]
• A data-driven ensemble framework for modeling high-dimensional data : theory, methods, algorithms, and applications
• Boosting for regression problems with complex data
• Design and analysis of computer experiments : large datasets and multi-model ensembles

Related Programs

Same specialization.

• Master of Science in Statistics (MSc)

Further Information

Specialization.

Research interests of the faculty include biostatistics, environmetrics, mathematical modelling of biological systems, computational statistics, data mining, machine learning, theory of statistical inference, asymptotics, multivariate analysis, robustness, nonparametrics, design of experiments, smoothing, Bayesian methods, computational molecular biology, gene expression, and microarrays.

UBC Calendar

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Mathematics & Statistics (PhD)

Program description.

The Doctor of Philosophy (Ph.D.) in Mathematics and Statistics offered by the Department of Mathematics and Statistics in the Faculty of Science is a research-intensive program that emphasizes specialized and challenging learning opportunities. The program's objective is to equip students with skills in resourceful thinking, problem-solving, and information synthesis to pursue professional opportunities in academia or industry.

Unique Program Features

• Students admitted to the program receive funding and benefit from access to a state-of-the-art computer network available for research and educational purposes;
• Students have access to a Statistical Consulting Service which provides statistical advice;
• Faculty members are leading researchers in various areas including Algebra, Algebraic Geometry, Analysis, Applied Mathematics, Category Theory, Combinatorics, Differential Geometry, Differential Equations, Discrete Mathematics, Mathematical Physics, Number Theory, Probability, and Statistics.

University-Level Admission Requirements

• An eligible Bachelor's degree with a minimum 3.0 GPA out of a possible 4.0 GPA
• English-language proficiency

Each program has specific admission requirements including required application documents. Please visit the program website for more details.

Visit our Educational credentials and grade equivalencies and English language proficiency webpages for additional information.

Program Website

PhD in Mathematics and Statistics website

Department Contact

Graduate Program grad.mathstat [at] mcgill.ca (subject: PhD%20in%20Mathematics%20%26%20Statistics) (email)

Available Intakes

Application deadlines.

Note : Application deadlines are subject to change without notice. Please check the application portal for the most up-to-date information.

Application Resources

• Application Steps webpage
• Submit Your Application webpage
• Connecting with a supervisor webpage
• Graduate Funding webpage

Application Workshops

Consult our full list of our virtual application-focused workshops on the Events webpage.

Department and University Information

Graduate and postdoctoral studies.

The University of Manitoba campuses are located on original lands of Anishinaabeg, Ininew, Anisininew, Dakota and Dene peoples, and on the National Homeland of the Red River Métis. More

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University of Manitoba

University of Manitoba Winnipeg, Manitoba Canada, R3T 2N2

Statistics (PhD)

As our society becomes increasingly dependent on data and the sea of data becomes more complex, statisticians will be even more sought after. The University of Manitoba provides graduate students with excellent research opportunities in statistics and probability while teaching you a variety of relevant applied theoretical courses that can be used in the modern world. Our programs offer students many useful options for pursuing their interests and professional goals.

Program details

Admission requirements.

• Faculty of Graduate Studies • Faculty of Science

• Doctor of Philosophy

Expected duration

• 4-6 years

Study with us

The Department of Statistics is one of the oldest and largest in Canada. Our courses are accredited by the Statistical Society of Canada toward the Associate Statistician (AStat) designation.

We have a high academic staff-to-student ratio, giving our students greater personal attention and more opportunities to tailor their educational experiences.

Explore the research in Statistics

Research areas

We offer training opportunities on the development of new methodologies and the use of computational and statistical methods in understanding data.

Our research areas include:

• Bayesian methods
• Biostatistics
• Data science
• Environmental and ecological statistics
• Financial statistics, time series and econometrics
• Multivariate and high dimensional data analysis
• Nonparametric statistics
• Probability and stochastic processes
• Sampling and experimental design
• Statistical genetics
• Statistics in education
• Statistical machine learning and computational statistics
• Statistics in sports

Take a closer look at our research opportunities .

Open the door with career opportunities

Statisticians contribute to scientific inquiry by applying their mathematical and statistical expertise to the design of surveys and experiments; to the collection, processing, and analysis of data; and to the interpretation of the results. They may apply their knowledge of statistical methods to a variety of subject areas, including:

• agriculture
• biological sciences such as genetics, botany, zoology, and ecology
• engineering
• environmental science
• forensic science
• public health

The Faculty of Graduate Studies and the Faculty of Science offer a program of study leading to a Statistics (PhD).

Expected duration: 4 years

Tuition and fees:  Tuition fees are charged for terms one and two and terms four and five. A continuing fee is paid for term three, term six and each subsequent term. (Refer to Graduate tuition and fees .)

In addition to the minimum course requirements of the Faculty of Graduate Studies, found in the Graduate Studies Regulations Section , students must:

• Complete minimum of 12 credit hours of coursework at the 7000 level
• Make at least one public seminar presentation in the area of their PhD research
• Pass a candidacy examination
• Complete a doctoral thesis

Sample course offerings

Here are some examples of the courses offered for this program:

• STAT 7060: Advanced Theory of Probability
• STAT 7080: Advanced Statistical Inference
• STAT 7100: Analysis of Discrete Data
• STAT 7140: Linear Models
• STAT 7200: Multivariate Analysis 1
• STAT 7260: Time Series
• STAT 7270: Bayesian Inference
• STAT 7290: Statistical Consulting

For a full list of courses and descriptions of each, please visit the  Academic Calendar .

The following are minimum requirements to be considered for entry into the Statistics (PhD) program. Meeting these requirements does not guarantee acceptance into the program.

To be considered for admission into the Statistics (PhD) program, you must have:

• A Master's degree (or equivalent) in Statistics with a cumulative GPA of 3.0 in the last two years of full-time university study.

In addition to the admission requirements described here, all applicants must meet the minimum admission and English language proficiency requirements of the Faculty of Graduate Studies .

How to apply

The Statistics (PhD) program accepts applications for Fall entry only. Applications must be completed online and include several parts:

• $100 application fee (non-refundable)
• Statement of intent
• Two letters of recommendation (must be requested within the application)
• Research statement (please include prior research experience, list of publications and a plan for PhD research)

Please read the  Faculty of Graduate Studies online application instructions  before beginning your application.

Choose a supervisor before you apply

Statistics MSc and PhD programs are research-intensive and because of this, applicants are requested to select one of our faculty members to be their supervisor and preside over an applicant’s program. See  Applying for graduate studies  for full details.

Application deadlines

Applications are reviewed on a committee basis . The Admissions committee for Architecture reviews applications in March.

Applications open up to 18 months prior to start term.

Applicants must submit their online application with supporting documentation and application fee by the deadline date indicated.

Start or continue your application

Applications are reviewed on a committee basis . The Admissions committee for City Planning reviews applications in March.

Winter applications are accepted on a case-by-case basis.

Applications are reviewed on a committee basis . The Admissions committee for Design and Planning reviews applications in March.

Applications are reviewed on a committee basis . The Admissions committee for Interior Design reviews applications in March.

Applications are reviewed on a committee basis . The Admissions committee for Landscape Architecture reviews applications in March.

Applications are reviewed on a committee basis . The Admissions committee for Anthropology reviews applications in March/April.

Applications are reviewed on a  committee basis . Please contact the department for admission committee review timelines.

Applications open September 1 of year prior to start term.

Applications open   up to 18 months prior  to start term.

Applications are reviewed on a  committee basis . The Admissions committee for History reviews applications in February.

Applications are reviewed on a  rolling basis .

Applications open July 1 of year prior to start term.

Applications are reviewed on a  Committee basis . The Committee for German and Slavic Studies reviews applications in February/March.

Applications are reviewed on a rolling basis .

Applications are reviewed on a committee basis . The Admissions committee for Management reviews applications in February / March.

Applications are reviewed on a committee basis . The Admissions committee for Physical Therapy reviews applications in April / May.

Applications open  August 1 of the year prior to start term.

Applications are reviewed on a committee basis . Please contact the department for admission committee review timelines.

Applications are reviewed on a committee basis . The Admissions committee for Orthodontics reviews applications in August/September and holds interviews in September/October.

Program currently undergoing review, applications will not be opening at this time.

Select Preventive Dental Science in the Program drop-down on the application form.

Applications are reviewed on a  committee basis . The Admissions committee for Educational Administration, Foundations and Psychology reviews applications in March / April.

Applications are reviewed on a  committee basis . The Admissions committee for Education reviews applications in February / March.

Applications are reviewed after the deadline, with decisions issued in March - April.

Currently not accepting applications to this program.

Applications are reviewed on a  committee basis . Please contact the department for admission committee review timelines.

Applicants must submit their online application with supporting documentation and application fee by the deadline date indicated. Applications received by the March 1 deadline for a September start-date will receive first consideration for any available funding. Late applications will be considered on a case-by-case basis for any available funding, please contact the department for further information.

Applications are reviewed on a  committee basis . The Admissions committee for Human Rights reviews applications in January - March.

Applications are reviewed on a  committee basis . The Admissions committee for Law reviews applications in January - March.

Applications are reviewed on a  committee basis . The Admissions committee for Nursing (MN) reviews applications in April / May.

Applications are reviewed on a  committee basis . The Admissions committee for Nursing PhD reviews applications in February / March.

Applications are reviewed on a  committee basis . The Admissions committee reviews applications as per the timelines noted below each table.

Winter applications reviewed in October Summer applications reviewed in February Fall applications reviewed in June

Winter applications reviewed in June Summer applications reviewed in October Fall applications reviewed in February

Applicants must submit their online application with supporting documentation and application fee by the deadline date indicated. This includes having the support of a faculty supervisor before you apply.

Applications are reviewed on a  committee basis . The Admissions committee for Natural Resources Management reviews applications in March - June.

After the annual application deadline (see below), applications are reviewed on a committee basis by the Faculty of Social Work internal admissions committee. Once this process is complete, decisions are sent to all applicants in March / April. 

Applications open  July 1 of year prior to start term.

Applications are reviewed on a  committee basis . The Admissions committee for Social Work reviews applications in March / April.

Applications are reviewed on a  committee basis . The Admissions committee for Music reviews Fall term applications in December / January, and Winter term applications in July.

Applications are reviewed on a committee basis . The Admissions committee for Occupational Therapy reviews applications in May / June.

Master of Occupational Therapy regular program  applications open September 15 of the year prior to deadline .

Master of Occupational Therapy accelerated program  applications open October 1  of the year prior to deadline .

The name of your confirmed supervisor is required at the time of application. To identify a prospective thesis research supervisor on your application, please  contact Immunology Faculty members .

Applications are reviewed on a  committee basis . The Admissions committee for Community Health Sciences reviews applications in March / April.

Fall 2025 applications are currently closed.

The name of your preferred supervisor is required at time of application.

Applications are reviewed on a  committee basis . Students selected for in-person interview will be notified in February.

Applications are reviewed on a  committee basis . The Admissions committee for Physician Assistant Studies reviews applications in April.

Offers of admission will be released to successful applicants on May 17, 2024 from the University of Manitoba Master of Physician Assistant Studies, the same day as the University of Toronto BScPA Program and McMaster University Physician Assistant Education Program. The three institutions are pleased to provide applicants their offers on the same day to help with the decision-making process.

Applications are reviewed on a  committee basis . The Admissions committee for Pharmacology and Therapeutics reviews applications one month after the application deadline.

Applications for Pathology MSc are reviewed on a  rolling basis .

Applications for Pathologist Assistant are reviewed on a  committee basis . The Admissions committee for Pathologist Assistant reviews applications in April / May. 

The Pathologist Assistant program only admits Canadian and US students every two years. The Fall 2023 intake has been suspended. The next intake is tentatively scheduled for Fall 2025.

Applications are reviewed on a  committee basis . The Admissions committee for Statistics reviews applications in March / April.

Applications are reviewed on a  committee basis . The Admissions committee for Biological Sciences reviews applications one month after deadline.

Applications are reviewed on a committee basis . The Admissions committee for Indigenous Studies reviews applications in February and June.

Applicants must submit their online application with supporting documentation and application fee by the deadline date indicated. For those who wish to be considered for scholarships, applications must be received by January 15 of the year in which you're seeking admission.

Applications are reviewed on a committee basis . The Admissions Committee for Applied Human Nutrition reviews applications in February.

Les demandes d’admission sont évaluées par un comité . Le comité d’admission évalu les demandes durant les mois de Mars et Avril.  

Les demandes peut être surmise jusqu’à concurrence de 18 mois avant le début de premier trimestre.

Toute demande d’admission en ligne doit être déposée, avec documents à l’appui, au plus tard aux dates indiquées.

Soumettre ou continuer votre application

The Department of Statistics

Founded in 1967, the Department of Statistics has a long and rich history. We currently have over 20 full-time academic staff and offer research expertise in diverse areas of statistics and probability.

Financial aid and awards

There are a variety of awards and funding options available to help you pay for school as a graduate student at UM.

Tuition and fees

Learn about the tuition and fee requirements associated with graduate studies at UM.

Explore program requirements and detailed descriptions of required and elective courses offered in the Statistics (PhD) program.

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Discovery happens here. Join the graduate students and researchers who come here from every corner of the world. They are drawn to the University of Manitoba because it offers the opportunity to do transformational research.

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Every day scientific discovery impacts us in new and exciting ways, unveiling unimagined wonders of nature and helping us live better lives through innovative solutions. The Faculty of Science aims to share that wonder and impact, producing research scientists who will help shape a better future for us all.

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With over 140 graduate programs across multiple faculties, schools and colleges, the University of Manitoba offers more learning, teaching and research opportunities than any other post-secondary institution in the province.

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Faculty of Graduate Studies Room 500 UMSU University Centre 65 Chancellors Circle University of Manitoba (Fort Garry campus) Winnipeg, MB R3T 2N2 Canada

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Phone: 204-474-9377

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Department of Statistics 206 Biological Sciences University of Manitoba Winnipeg, Manitoba R3T 2M5 Canada

[email protected] Phone: 204-474-9826

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Minimum admission requirements

• A Master's degree in statistics, actuarial science, or mathematics , completed or expected. Note: graduates of other quantitative and mathematically oriented programs are also encouraged to apply; this includes, but is not restricted to, graduates of commerce, economics, engineering, finance, and any of the physical sciences. The department graduate committee will determine the suitability of each student’s background for success in this program.*
• Students with an undergraduate degree in statistics, actuarial science, or mathematics may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, and very strong letters of recommendation.*
• At least an overall 78% average from a Canadian university (or its equivalent)
• An interview may be required

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• Transcript(s)
• Three  references  normally from academic sources
• TOEFL 90 (writing 25, speaking 25), IELTS 7.0 (writing 6.5, speaking 6.5)

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• Use the student budget calculator to estimate your cost and resources 
• Visit the  graduate program tuition page  on the Finance website to determine the tuition and incidental fees per term for your program
• Review the  study and living costs
• Review the funding graduate school resources for graduate students

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• Review the degree requirements  on the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree
• Check out profiles of current graduate students to learn about their experience at Waterloo
• Check out Waterloo's institutional thesis repository - UWspace  to see recent submissions from the Department of Statistics and Actuarial Science graduate students
• Check out the Waterloo campus and city tours
• Review the  Department of Statistics and Actuarial Science  website to see information about supervisors, research areas, news, and events

This program page is effective September 2023; it will be updated annually.  Any changes to the program page following this date will be indicated with a notation. *Edited November 2023.

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The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations .

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Mathematics and Statistics

The School of Mathematics and Statistics offers a PhD program that focuses on diverse areas including statistics, probability, discrete mathematics, applied mathematics, algebra and analysis, cryptography research for government, networks, coding theory and fluid dynamics.

The School is a member of the Ottawa-Carleton Institute for Mathematics and Statistics (OCIMS) , which offers one of the largest graduate programs in mathematics and statistics in Canada. Students can take courses and access research resources at both Carleton and the University of Ottawa. Learn more about Ottawa-Carleton Joint Institutes .

“My school has a resourceful and great faculty and mentorship. They are very keen on the success and well-being of graduate students. Professors and the faculty always open their doors for students to approach them with questions and solutions. The support in the program is great.”

— Evans Boadi, PhD Student, Applied Mathematics, 2021

Capital Advantage

Our students enjoy the unique advantage of studying in the nation’s capital, providing easy access to internship and eventually career opportunities in government departments and private industry.

Fields of Specialization

• Applied Mathematics
• Probability and Statistics
• Pure Mathematics

Program Information

• Degree: Doctor of Philosophy

Length: 5 years

Entry Terms: Fall , Winter

Fall Application Deadline: February 1

More Deadline Information »

Contact: Graduate Administrator: [email protected]

Experiential Learning:  Internships

Pathway Options: Thesis

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Carleton's Grad programs in Mathematics & Statistics

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7 Best Universities in Canada to Study Ph.D. in Data Science

A Ph.D. degree is the highest academic qualification anyone can earn. And with Harvard Business Review declaring data scientist to be the sexiest job of the 21 st century, a Ph.D. in Data Science should probably be called the sexiest university degree of the century.

Universities in Canada, like the ones in other highly advanced countries, are offering such degrees in abundance. Here, we have listed the seven best Canadian universities that offer a Ph.D. degree in Data Science.

Top Schools Offering Ph.D. in Data Science Programs in Canada

1. university of british columbia.

• Tuition Fees | Scholarships

Beginning its journey over a hundred years ago, the University of British Columbia (UBC) offers higher education to nearly 65,000 students, including over 17,000 international students.

It has two main campuses sited in Vancouver and Okanagan of the province of British Columbia. It is recognized as one of the top 40 universities in the world and top three universities in Canada by a number of major university rankings.

Nobel laureates like economist Robert Mundell and physicist Bertram Brockhouse are a couple of notable alumni.

UBC’s Department of Computer Science administers a Ph.D. in Computer Science program. Its research areas include a number of concepts relevant to Data Science like Data Integration, Text Mining, Web Databases, and Optimization.

It is an on-campus program that is only available in a full-time format. It takes place at the Vancouver campus and can be completed within three to five years.

2. HEC Montréal

HEC Montréal is actually not a university; rather, it is a graduate school of the Université de Montréal. Founded in 1907, the business school currently has over 14,000 students.

All of its classes take place in its two buildings in Montreal, Quebec: the Côte-Sainte-Catherine building and the Decelles building.

Despite being a French-language institution, it also offers programs that have English as the medium of instruction.

Louis R. Chênevert, the former CEO of United Technologies Corporation and president of Pratt & Whitney, graduated from this institution.

HEC Montréal offers a Ph.D. in Administration – Data Science program in collaboration with three other universities: McGill University , Concordia University , and Université du Québec à Montréal (UQAM). The partnership provides students with access to resources from all four Montreal-based institutions.

The English-language program requires 90 credits to be completed in full-time study mode. The duration of the program is typically four to five years.

3. University of Waterloo

Next on our list of universities in Canada with a Ph.D. in Data Science is the University of Waterloo . Founded in 1957, the University of Waterloo (UWaterloo) has a student population north of 40,000.

Around 20 percent of all undergraduate students and 40 percent of all graduate students have come from outside Canada. According to U.S. News and World Report Best Global Universities 2019, the university located in Waterloo is Canada’s best for Computer Science and second-best for Engineering.

It is the alma mater of Rasmus Lerdorf, the programmer who authored the first two versions of the PHP scripting language.

UWaterloo’s Ph.D. in Computer Science includes research areas like Databases, Information Retrieval, and Machine Learning that are relevant to the field of Data Science.

Students may take on this on-campus program in either full-time or part-time study mode. Admission takes place thrice a year at the start of the academic terms Fall, Winter, and Spring.

4. University of Alberta

The University of Alberta is a top-tier Canadian research university based primarily in Edmonton, the capital of Alberta. It was established in 1908, the same year that UBC came into being. The total student enrolment stands at over 40,000.

Nobel-winning physicist Richard E. Taylor and former Canadian prime minister Joe Clark graduated from this university.

Alberta’s Department of Computing Science runs a Ph.D. in Computing Science that has a wide range of research areas. A few of them, including Database Systems and Machine Learning, are related to the field of Data Science.

There’s also a Ph.D. in Statistical Machine Learning offered by the department in collaboration with the Department of Mathematical and Statistical Sciences. These are full-time programs that are ideally completed within five years.

5. Dalhousie University

Founded over two hundred years ago, Dalhousie University (Dal) is one of the oldest universities in the Great White North. Its student population is around 19,000, which includes nearly 4,000 international students representing over 115 nationalities.

Each of its three campuses is located in Halifax, the capital of Nova Scotia. The university is the alma mater of Nobel-winning astrophysicist Arthur B. McDonald, Canadian PMs R.B. Bennett, and Brian Mulroney, as well as former Xerox Corporation CEO and chairman Charles Peter McColough.

Dal offers a Ph.D. in Computer Science which allows students to specialize and develop deep expertise in Data Analytics. The Faculty of Computer Science’s Big Data Analytics & Machine Learning research cluster, which is based in the Institute for Big Data Analytics, helps students to conduct independent and original research. The Ph.D. program takes around three to four years to complete.

6. University of New Brunswick

The University of New Brunswick (UNB) started off in 1785 as Canada’s first English-language university. It has two campuses: one situated in New Brunswick’s capital Fredericton, and the other in the port city of Saint John in the same province. The university has more than 10,000 students hailing from over 100 countries. It was recognized as the country’s most entrepreneurial university in 2014 by Startup Canada.

UNB’s Faculty of Computer Science offers a Ph.D. in Computer Science one of the many research areas is Data Management, Analytics, and Mining. The program can be completed in three years. While it is ideally a full-time program, students could be permitted to take on the program on a part-time basis under certain conditions.

7. Ryerson University

Beginning its journey in 1948 as a postsecondary institute with merely 250 students, Ryerson University has grown into a full-fledged university with over 45,000 students.

It is located in Toronto, Ontario, and is the province’s most applied-to university relative to available accommodation.

Four Seasons Hotels and Resorts founder and chairman Isadore Sharp and former Maple Leaf Sports & Entertainment president and COO Tom Anselmi are a couple of its notable alumni.

Ryerson’s Faculty of Science administers a Ph.D. in Computer Science which provides students with the option of specializing in Data Science and related subjects like Machine Learning and Data Mining. The nominal duration of the thesis-based program is three years. The format for this program is full-time.

FAQS About Studying Ph.D. in Data Science

Which university in canada is best for a ph.d. in data science.

When it comes to Canada, the University of British Columbia would probably be your best pick for getting a Ph.D. in data science. Requiring nearly 5-6 years of your time, this professional degree program will challenge its students to analyze data from a wide range of domains while allowing each student to solve real-world problems created by partnered businesses.

How Long Does It Take to Earn a Ph.D. in Data Science?

If you want to graduate with a Ph.D. in data science, the time required ranges from 4 years to 9 years, depending on the person. To go down this track, you would probably apply for a Doctor of Philosophy in Computer Science and take the track of data analysis, which is a major part of data science.

If you just want to complete a Master’s degree in data science, you only need to spend 10 months of your time in this accelerated professional degree program. Analyzing data from a real-world environment, the experience that you would get from these types of programs would be second to none!

We hope that this article on universities in Canada with Ph.D. in Data Science was helpful. Make sure to also check out our  Data Science Programs for International Students  for some of the currently open data science courses around the world!

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We have 93 Statistics PhD Projects, Programmes & Scholarships

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Statistics PhD Projects, Programmes & Scholarships

A PhD in Statistics focuses on mastering the mathematical framework behind data analysis. You will be researching processes that help understand data and assess risks. Even though Statistics contains a major component of theoretical maths, it has plenty of application in other fields like Physics, Biology or Finance.

What’s it like to do a PhD in Statistics?

On a PhD level, you’ll be using your existing knowledge of the models and methods in Statistics to work on a unique project that offers significant contribution to the field. Statistics is a vast area of study and you can look at one of some of these popular research topics in Statistics:

• Bayesian statistics
• High dimensional data
• Computation techniques
• Extreme value theory
• Probability theory

Statistics also has applications in other areas like Biology, Medicine, Finance or Physics. You can, therefore, also decide to focus on a particular application of Statistics. For example, you can have a special focus on statistics within biomedical or social science.

Akin to many other STEM subjects, Statistics PhDs are usually advertised with a research objective. You can also propose your own research projects and they might be considered if they meet the over-arching objectives of the department.

In the UK, a PhD will end with submitting a thesis of around 80,000 words followed by an oral examination where you will defend your research in front of an academic panel. It is also likely that you’ll be asked to enroll as an MPhil student at the beginning of your programme. You can upgrade to a PhD, after a review at the end of the first year, if your supervisor feels your work meets certain standards

Since a PhD is a purely research-based degree, there are no compulsory teaching hours. You’ll work on a mutually decided schedule with your supervisor. However, because of the transdisciplinary nature of the field of Statistics, you might be encouraged to take on some taught modules, that cover certain transferable skills, in your first year.

Entry requirements

If you’re looking to do a PhD in Statistics, you’ll need to have completed a Masters (with Merit or Distinction) in a mathematical subject. Some research programmes may also accept degrees in subjects like Physics, Engineering or Computer Science, provided they have a major mathematical component.

Depending on where you choose to apply, you may also need to show that you have a level of language proficiency in your university’s language of instruction

PhD in Statistics funding options

In the UK, the Engineering and Physical Sciences Research Council (EPSRC) funds PhDs in Statistics. They offer fully funded studentships and a monthly stipend to UK students. PhDs are usually advertised with the funding attached and you’re automatically eligible for it if you’re successful in your application.

If you are an international student, you have the option of the EPSRC PhD Scholarships that contribute towards your tuition fee but do not include a monthly stipend.

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PhD in Statistics careers

A PhD prepares you for a career in academia and the industry. Agriculture, forensics, finance and law are some of the biggest employers of Statistics graduates outside of academia. You can also look at careers in Actuarial Sciences after a PhD in Statistics.

A study of the natural history of joint hypermobility using a population-based birth cohort

Phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Self-Funded PhD Students Only

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

Multi-Language Statistical Classification of Natural and Computer-Generated Texts

Simulation-based inference for financial econometrics models, competition funded phd project (students worldwide).

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Hierarchical Bayesian Model Selection for Inverse Problems in Applied Mathematics

Characterising human sebum using nmr approaches, unravelling the genetic & environmental basis of chronic pain, characterising the genetics and phenotypic diversity of human voice, speech and language, 2025 rtp round - testing the synergistic effect of inorganic nitrate and exercise on cardiovascular and brain health in older subjects, funded phd project (students worldwide).

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Health state utilities for cost-effectiveness models – ensuring the best use of available values

New frontiers in extreme data analysis, competition funded phd project (uk students only).

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. The funding is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Novel causal models for multivariate functional data

The impact of microglia on dopaminergic synapses in parkinson’s disease, funded phd project (uk students only).

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Bilateral wind flow interactions with floating offshore wind turbines

Implementation of optimisation trials of complex health and social care interventions, development and validation of the epilepsy-heart syndrome: a focus on ictal asystole and developing evidence-based national consensus guidelines.

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10 PhD scholarships in Canada for international students in 2023

Canada is well-known for being a safe, stable, open and welcoming country. According to US News, the country is ranked the  seventh best study-abroad destination  in the world. 

That, however, is not all the Great White North is known for. 

Canada offers many beneficial opportunities for international students — from top universities to scholarships. 

If you’re looking for PhD scholarships in Canada, you’re in luck! There are  many scholarships  for both domestic and international students to further their education. 

There is no denying that studying abroad can be expensive. Combine your tuition fees with the cost of living, and it can all be too much to handle. 

After all, scholarships are a great way to help you pay for your education and reduce that burden. 

Thankfully, in Canada, there are over 800 scholarships available for international students for the term 2023 to 2024. 

With these many scholarships available, there may even be scholarships that you are eligible for that you didn’t know existed. 

So, don’t worry — we have listed down the top 10 PhD scholarships in Canada for international students for you. 

Here is a list of PhD scholarships in Canada every international student should know about: 

  View this post on Instagram   A post shared by University of Alberta (@ualberta)

1. University of Alberta Scholarships

The University of Alberta is a  comprehensive academic and research university  established in 1908. 

The university consistently ranks as one of Canada’s top destinations for international students due to the many funding opportunities available. 

Among the scholarships offered is the  Graduate Entrance Scholarship , available to all students enrolled in a master’s or doctoral programme. 

Recipients of the scholarship pursuing a PhD will receive a stipend of CA$21,000, and an additional CA$10,000 will be given to international students to help cover the cost of their fees. 

What’s more, the university has removed the IELTS requirement for applicants from many countries beginning this year. 

The deadline for the scholarship varies throughout the year, depending on your admission period.

  View this post on Instagram   A post shared by University of Waterloo (@uofwaterloo)

2. University of Waterloo Scholarships

The University of Waterloo is a public research university in Canada and is ranked eighth  as the Best Global Universities in Canada, according to US News . 

The university offers scholarships for all international students in undergraduate, master’s, and PhD programmes. The University of Waterloo Graduate Scholarship is fully funded and valued at up to  $10,000 .

The scholarship recipients will enjoy benefits such as the International Master’s Award of Excellence valued at $2,500 per term for a maximum of 6 terms.

The deadline to apply for the scholarship differs based on the programme you are enrolled in. Click  here  to view the deadline based on your programme. 

  View this post on Instagram   A post shared by University of Saskatchewan (@usask)

3. University of Saskatchewan 

The University of Saskatchewan is renowned for its highly collaborative research environment and is ranked number one in Canada for water research. 

The  University of Saskatchewan Graduate Scholarship  is offered to all international students enrolled in a master’s or PhD programme. 

The best part? This fully funded scholarship provides up to CA$20,000 for PhD students over 36 months. 

Once enrolled at the university, you will automatically be considered for the scholarship based on your academic achievement and financial needs. 

  View this post on Instagram   A post shared by McGill University (@mcgillu)

4. McGill University Scholarships in Canada

McGill University is one of the leading universities worldwide, ranking #31 according to the  QS World University Rankings 2023 . 

The university aims to make the programmes more accessible to students facing financial difficulties. 

As such, it offers scholarships for international students pursuing an  undergraduate, masters and PhD programme . 

For those pursuing a PhD a modest amount of bursaries is given to help them financially. The deadline for scholarships at McGill is based on your admission.

  View this post on Instagram   A post shared by Université de Montréal (@umontreal)

5. Montreal University Fully Funded Scholarship

When it comes to the number of students, the University of Montreal is the second-largest university in Canada, with  36,000 students enrolled .

UdeM exemption scholarship programme was designed to ensure students from all over the world can attend one of the top research universities in Canada. 

This scholarship programme is available to all international students pursuing their undergraduate, master’s or PhD at the university. 

Montreal Univeristy Scholarships will provide up to  CA$21,593.35 per year .

For more information on other scholarships, you may check out the  Graduate and Postdoctoral Studies  page.

  View this post on Instagram   A post shared by University of Toronto (@uoft)

6. University of Toronto Scholarships

The University of Toronto is a public research university in Ontario, Canada.

The university offers a wide range of scholarships for undergraduate and graduate students. These scholarships are available to Canadian citizens, permanent residents, and international students.

It has a large number of scholarships that are awarded based on merit, leadership, financial need and many other factors.

All PhD students will receive a base funding package for up to five years of their study period. If selected, international recipients will receive  CA$27,811, including a UHIP of CA$756.00 .

Applicants would need to maintain their academic performance in their programme to remain eligible for the funding throughout the five years.

  View this post on Instagram   A post shared by University of Ottawa (@uottawa)

7. University of Ottawa Scholarships

The University of Ottawa offers an International Doctoral Scholarship to all international students who are enrolled in a PhD programme.

This scholarship is offered to full-time international students. The scholarship is valued at CA$45,000 over five years.

The scholarships are available to all undergraduate, master’s and PhD students.

  View this post on Instagram   A post shared by The University of Lethbridge (@ulethbridge)

8. The University of Lethbridge

The University of Lethbridge is one of Canada’s top three research universities and is ranked among the 6% of world universities for research performance.

The Graduate Research Award aims to provide financial support to all graduate students at the university.

This financial support is provided to all students except those within the Faculty of Education.

Applicants will be considered upon admission and can receive up to CA$21,000.

  View this post on Instagram   A post shared by Concordia University (@concordiauniversity)

9. Concordia University Canada Scholarships

Concordia University is one of the  top public universities  in Montreal, Canada. 

The university offers awards and scholarships to all students pursuing a PhD programme.

However, students need not apply, as they will be automatically considered for all entrance scholarships once admitted.

For more information on the scholarship, visit the  School of Graduate Studies Entrance Awards  page.

  View this post on Instagram   A post shared by University of British Columbia (@universityofbc)

10. University of British Columbia

The  University of British Columbia  is one of the top universities in the world, ranked #40 by the Times Higher Education rankings in 2023.

The  Four Year Doctoral Fellowship  (4YF) is an outstanding choice for students wanting to pursue a PhD at this university. This programme ensures that students who have achieved academic excellence will receive financial support of at least CA$18,200 annually.

This scholarship is available to all international students and is ongoing based on admission.

Aside from universities, the government offers several PhD scholarships in Canada. Source: Drew Angerer/Getty Images North America/Getty Images/AFP

PhD scholarships in Canada offered by the government

Aside from universities, the Canadian government offers scholarships that are available for international PhD students.

Here is a list of two PhD scholarships in Canada offered by the government:  

1.Banting Postdoctoral Fellowships 

The Banting Postdoctoral Fellowship is offered to international students undertaking postgraduate programmes within the field of health research, natural sciences or engineering and social sciences and humanities. 

Apply by the end of April to stand the chance to receive this scholarship of up to CA$70,000 per year.

2. Vanier Canada Graduate Scholarships 

The Vanier Canada Graduate Scholarship is one of the most prominent scholarship offered by the Canadian government. This fully funded scholarship is open to all international PhD students.

Applicants will be selected based on academic excellence, research potential and leadership abilities. This scholarship is valued at $50,000 per year for three years.

The application window for the 2023 to 2024 term will close on May 1.

Many PhD scholarships in Canada aim to provide financial assistance to international students. Source: Drew Angerer/ Getty Images North America/Getty Images/AFP

Frequently asked questions when applying for PhD scholarships in Canada

The scholarship application process in Canada can be a little daunting, especially for first-time applicants. Not to worry. Here are some of the most frequently asked questions to guide you through the process: 

1. How to apply for a scholarship in Canada for international students?

In Canada, the scholarship application process begins with first receiving an acceptance letter into a Canadian university.

Once you have that sorted, shortlist the scholarships that you are eligible for and best fit your needs. Contact your university’s financial aid representative or head over to the website for more details on deadlines and requirements before submitting your application.

2. Is it hard to get a scholarship in Canada for international students?

Your chances of receiving a scholarship depend on the scholarship’s nature and eligibility. Most scholarships are awarded based on academic achievements.

However, you have a higher chance of receiving a scholarship if you have work or volunteer experience.

3. What are the requirements for PhD scholarships in Canada?

The requirement for a PhD scholarship in Canada differs for each. However, the basic requirement is first to be accepted into a PhD programme. To do so, you must have a  GPA of 3.0 or higher . 

4. How can I get a fully funded scholarship in Canada?

Start applying early to stand a chance at scoring a scholarship. By starting early, you will have more time and opportunities available to you.

The second tip would be to apply for as many scholarships as possible. The more you apply, the higher your chances of winning a scholarship.

5. Can a PhD student work full-time in Canada?

As a PhD student in Canada, you will be eligible to work on and off campus as long as you have a valid study permit. However, while the semester is running, you will only be able to  work part-time for up to 20 hours per week . During semester breaks, students can work full-time. 

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Part-Time Academic (MATH 1010.03: Differential & Integral Calculus II - Fall 2024)

& Statistics Location Halifax, Nova Scotia, Canada Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Differential & Integral Calculus II (MATH 1010.03) in the upcoming

Sessional Lecturer, STA437H1F/STA2005HF L5101 - Methods of Multivariate Data

Date Posted: 07/18/2024 Req ID: 38581 Faculty/Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: STA437H1F

Sessional Lecturer(s), Department of Mathematics & Statistics

:30 pm to 2:20 pm Expected Enrollment Limit: 130 Location: Saskatoon Qualifications: Completion of a graduate degree, PhD preferred, in Mathematics & Statistics or related discipline and/or possession

Sessional Lecturer-MHI2007H - Quantitative Skills in Health Informatics

on enrolment - None Qualifications: PhD or Masters level education in Measurement and Evaluation, Statistics or related field; Demonstrated experience conducting research projects requiring quantitative

Course Lecturer - EPIB 613 - Department of Epidemiology, Biostatistics and Occupational Health (Fall 2024)

elementary statistical analysis in Epidemiology using software such as STATA and R. Location: EDUC, Room 129 Schedule: Thursday, 11:35 to 12:55 Credits: 1 Teaching Qualification Requirements: Education:   PhD

Teaching Assistant, GE 210 – Probability and Statistics

Course Name, Abbreviation and Number: GE 210 – Probability and Statistics Start and End Dates: September 3 to December 31 Qualifications (Skills and Abilities) MSc or PhD student in good standing enrolled

Course Lecturer - EPIB 507 - Department of Epidemiology, Biostatistics and Occupational Health (Fall 2024)

regression. Location: RPHYS, Room 115 Schedule: Tuesday/Thursday, 8:35 - 9:55 Credits: 3 Teaching Qualification Requirements: Education: PhD student in biostatistics or in statistics Experience: Successful

Sessional Lecturer, ACT371H1F L5101 - Basic Reserving Methods for P&C Insurance

Master’s degree required, PhD preferred in Statistics , Applied Statistics , Actuarial Science, Biostatistics or related discipline. Prior experience teaching at the university level. Prior experience teaching

Research Associate

programs, including an intensive upper-division BSN, MN-NP, MSN and PhD program. Working directly with Dr. Jennifer Baumbusch, co-lead of the Gerontological Education, Research, and Outreach (GERO) Unit and

Sessional Lecturer(s), Math & Stats

pm Expected Enrollment Limit: 100 Location: Saskatoon Qualifications: Completion of a graduate degree, PhD preferred, in Mathematics & Statistics or related discipline and/or possession of relevant

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July 24, 2024

The Vanier Canada Graduate Scholarships (CGS) program is designed to attract and retain world-class doctoral students by supporting students who demonstrate both leadership skills and a high standard of scholarly achievement in graduate studies in the social sciences and humanities, natural sciences and engineering, and health-related fields. Canadian citizens, permanent residents of Canada, and international students are eligible to be nominated for a Vanier Scholarship, which is valued at $50,000 per year for up to three years.

• The application is completed online on ResearchNet :  https://www.researchnet-recherchenet.ca/rnr16/LoginServlet .
• UBC Vanier application deadline: 12 noon (PT – Vancouver time) on Thursday, August 29 2024

Note: Per changes to Tri-Agency award values announced in June 2024, the Vanier CGS program is expected to continue under its current parameters of $50,000 per year for this competition year. Further information on the future of the program will be shared as it becomes available.

For more information, including eligibility requirements, application procedures, and nomination procedures, please visit our Vanier webpage:  https://www.grad.ubc.ca/awards/vanier-scholarship .

Important to note:

• Equity, Diversity and Inclusion :  The Vanier CGS program encourages equity, diversity and inclusion, as part of the Tri-Agency’s broader commitment to excellence in research and research training in Canada. Resources for applicants, institutions, referees and the selection committees are available at:  http://www.vanier.gc.ca/en/equity_diversity_inclusion-equite_diversite_inclusion.html . Applicants are encouraged to review the resources before they begin writing their application.
• Self-Identification of Indigenous (First Nations, Inuit, and/or Métis) Applicants : Additional funding allocations may be made available to the University to accommodate applicants who self-identify as Indigenous (First Nations, Inuit, and/or Metis). Applicants who choose to self-identify as Indigenous (First Nations, Inuit, and/or Metis) should complete the Vanier Canada Graduate Scholarship (Vanier CGS) Voluntary Self Identification Form ( https://vanier.gc.ca/en/pdf/vanier_cgs-besc_vanier_indigenous_self-identification_form-bil.pdf ) and upload it within their application.

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Prof. james coleman interviewed on ctv about presidential politics affecting u.s. - canada energy policy.

Professor James Coleman was interviewed on CTV News - Calgary discussing how the presidential election race provides two distinct views on energy policy and trade between the U.S. and Canada. Canadian oil shipments to the U.S. have reached record levels in recent months, and the two countries act as each other’s largest crude importer. While a Harris administration would likely follow current policies, or perhaps advocate for greater restrictions on greenhouse gas emissions, Donald Trump is pledging a 10 percent tariff on all imports and an increase in domestic drilling in order to reduce energy dependence. Describing the current energy policy between the two nations, Prof. Coleman said, “It continues to be the world’s most important bilateral energy relationship. So one of the things to watch out for is, is this a broad-based attack on trade? Or is it more about removing dependence on the strategic competitors?”

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