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Overview
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.
NEW PhD Track Admission Stream!. More information can be found here https://www.stat.ubc.ca/new-phd-track-admission-stream.
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.
We also just recently introduced a new PhD Track stream. Effective now, we offer this stream for strong undergraduate students expecting to graduate in Spring 2025 interested in a PhD in Statistics. Admission under this new stream is in a MSc program but with guaranteed transition to PhD at the end of year one subject to satisfying program requirements. This track is intended for exceptional undergraduate students with demonstrated research potential. Students interested in the PhD track should identify one or more faculty members as potential research supervisors. You can find more information about this on our admissions page here https://www.stat.ubc.ca/graduate-admissions.
Quick Facts
Program Enquiries
Contact the program
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:
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
Reading
22
Writing
21
Speaking
21
Listening
22
IELTS: International English Language Testing System
Overall score requirement: 7.5
Reading
6.5
Writing
6.5
Speaking
6.5
Listening
6.5
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
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
Tuition
| Fees | Canadian Citizen / Permanent Resident / Refugee / Diplomat | International |
|---|---|---|
| Application Fee | $116.25 | $168.25 |
| Tuition * | ||
| Installments per year | 3 | 3 |
| Tuition per installment | $1,875.34 | $3,294.66 |
| Tuition per year (plus annual increase, usually 2%-5%) | $5,626.02 | $9,883.98 |
| Int. Tuition Award (ITA) per year (if eligible) | $3,200.00 (-) | |
| Other Fees and Costs | ||
| Student Fees (yearly) | $1,144.10 (approx.) | |
| Costs of living | Estimate your costs of living with our interactive tool in order to start developing a financial plan for your graduate studies. | |
All fees for the year are subject to adjustment and UBC reserves the right to change any fees without notice at any time, including tuition and student fees. Tuition fees are reviewed annually by the UBC Board of Governors. In recent years, tuition increases have been 2% for continuing domestic students and between 2% and 5% for continuing international students. New students may see higher increases in tuition. Admitted students who defer their admission are subject to the potentially higher tuition fees for incoming students effective at the later program start date. In case of a discrepancy between this webpage and the UBC Calendar, the UBC Calendar entry will be held to be correct.
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.
Review methodology
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 24 hours a week during academic sessions.
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):
RI (Research-Intensive) Faculty: typically tenure-track faculty positions (equivalent of the North American Assistant Professor, Associate Professor, and Professor positions) in PhD-granting institutions
TI (Teaching-Intensive) Faculty: typically full-time faculty positions in colleges or in institutions not granting PhDs, and teaching faculty at PhD-granting institutions
Term Faculty: faculty in term appointments (e.g. sessional lecturers, visiting assistant professors, etc.)
Sample Employers in Higher Education
University of British Columbia (3)Simon Fraser University (3)
Northern Illinois University (2)
University of Dhaka
Grant MacEwan University
University of Toronto
University of Saskatchewan
York University
Ecole des Hautes Etudes Commerciales de Montreal
West Virginia University
Sample Employers Outside Higher Education
Google (3)Scotiabank
TransUnion
eBay
Genentech
AstraZeneca
Children's Hospital of Philadelphia
Eli Lilly and Company
Ghement Statistical Consulting Company Ltd.
Sample Job Titles Outside Higher Education
Senior Statistician (2)Statistician
Senior Research Scientist
Data Scientist
Senior Consultant
Senior Statistical Scientist
Principal
Director Risk
Staff Data Scientist
Quantitative Analyst
PhD Career Outcome Survey
You may view the full report on career outcomes of UBC PhD graduates on outcomes.grad.ubc.ca.Disclaimer
These data represent historical employment information and do not guarantee future employment prospects for graduates of this program. They are for informational purposes only. Data were collected through either alumni surveys or internet research.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
| 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|
| Applications | 67 | 72 | 97 | 77 | 63 |
| Offers | 14 | 9 | 16 | 8 | 11 |
| New Registrations | 5 | 5 | 8 | 7 | 6 |
| Total Enrolment | 39 | 37 | 39 | 32 | 27 |
Completion Rates & Times
Disclaimer
Upcoming Doctoral Exams
Thursday, 10 April 2025 - 9:00am - Room 200
Friday, 2 May 2025 - 12:30pm - Room 200
Research Supervisors
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)
Doctoral Citations
| Year | Citation |
|---|---|
| 2010 | Dr. Hosseini developed statistical models predicting precipitation, temperature and associated extreme weather events such as drought, toward managing agricultural climate risks. He also developed a way to approximate large datasets. To assess such approximations, he introduced a novel performance metric that is invariant under re-scaling of the data. |
| 2009 | Dr. Regier examined how missing information and measurement error affects the statistical analysis of complex data sets and proposed an adjustment which reduces the bias associated with estimated model parameters. He applied his methodology to investigate the role of culture in the use of end-of-life health services. |
| 2009 | Dr. Yu developed a new statistical criterion for making good decisions based on a different way to evaluate the cost of bad decisions. His method provides improved performance over other methods for data analysis in some parameter estimation and model selection contexts |
| 2009 | Dr Harrington extended the scope of problems in Statistics where the clustering algorithm Linear Grouping Analysis can be applied. In the first instance, the linearity condition was relaxed by transforming data into an appropriate infinitely dimensional domain. He subsequently adapted an existing paradigm of data compression to be applicable to clustering and other robust methods. |
| 2008 | Dr Shen developed theory and algorithms for cross validation, a method widely used to assess and compare empirical models. She proposed computationally efficient methods for dealing with multiple complex models fit to large data sets, and a bias correction when assessing linear regression. |
| 2008 | Dr. Podder proposed new statistical methods and algorithms for analyzing data to genotype a patient. The methods exploit the deliberate redundancy in the data and lead to fast, automatic, and highly reliable genotyping for personalized medicine. |
| 2008 | Dr. Yan developed a statistical method for exploring linear structures in data. The method helps extract useful information in large data sets. Dr. Yan applied his method to develop a promising algorithm that automatically classifies genotypes in genetic studies. |
Pages
Sample Thesis Submissions
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.
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Classification
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