Doctor of Philosophy in Statistics (PhD)

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.

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.

Quick Facts

Degree
Doctor of Philosophy
Subject
Science
Mode of delivery
On campus
Registration options
Full-time
Specialization
Statistics
Program Components
Dissertation
Faculty
Faculty of Science

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Program Enquiries

If you have reviewed the information on this program page and understand the requirements for this program, you may send an enquiry

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.

Requirements

Document Requirements

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

TOEFL (ibT) Overall Score Requirement

100
22
21
22
21

IELTS Overall Score Requirement

7.5
6.5
6.5
6.5
6.5

Supervisor commitment required prior to application?

No

Prerequisites / 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).

Deadline Details

Application Deadline

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

Transcript Deadline

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.

Referee Deadline

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

September 2020 Intake

Application Open Date
01 October 2019
Canadian Applicants
Application Deadline: 15 January 2020
Transcript Deadline: 15 January 2020
Referee Deadline: 25 January 2020
International Applicants
Application Deadline: 15 January 2020
Transcript Deadline: 15 January 2020
Referee Deadline: 25 January 2020

Funding Sources

PhD students in the Department of Statistics receive a minimum funding package of $18,000 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. 

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.
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.

Tuition / Program Costs

FeesCanadian Citizen / Permanent Resident / Refugee / DiplomatInternational
Application Fee$104.00$168.25
Tuition *
Installments per year33
Tuition per installment$1,665.26$2,925.58
Tuition per year
(plus annual increase, usually 2%-5%)
$4,995.78$8,776.74
Int. Tuition Award (ITA) per year (if eligible) $3,200.00 (-)
Other Fees and Costs
Student Fees (yearly)$930.14 (approx.)
Costs of living (yearly)starting at $16,884.10 (check cost calculator)
* Regular, full-time tuition. For on-leave, extension, continuing or part time (if applicable) fees see UBC Calendar.
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.

Statistical Data

Enrolment Data

 20182017201620152014
Applications7040383342
Offers94956
New registrations64535
Total enrolment2724272527

Completion Rates & Times

This program has a graduation rate of 87.5% based on 16 students admitted between 2006 - 2009. Based on 16 graduations between 2015 - 2018 the minimum time to completion is 4.32 years and the maximum time is 7.00 years with an average of 5.02 years of study. All calculations exclude leave times.
Disclaimer
Admissions data refer to all UBC Vancouver applications, offers, new registrants for each year, May to April [data updated: 22 March 2019]. Enrolment data are based on March 1 snapshots. Program completion data are only provided for datasets comprised of more than 4 individuals. Rates and times of completion depend on a number of variables (e.g. curriculum requirements, student funding), some of which may have changed in recent years for some programs [data updated: 27 October 2019].

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.

  • Bouchard-Cote, Alexandre (machine/statistical learning; mathematical side of the subject as well as in applications in linguistics and biology)
  • Chen, Jiahua (finite mixture model, empirical likelihood, asymptotic theory, sample survey)
  • Cohen Freue, Gabriela (statistical genomics (focus in proteomics), robust estimation and inference, linear models with endogeneity )
  • Gustafson, Paul (Meta-Analysis, Parametric and Non-Parametric Inference, Theoretical Statistics, Pharmacoepidemiology, Bayesian statistical methods, Causal inference, Evidence synthesis, Biostatistics and Epidemiology, Partial Identification)
  • Heckman, Nancy (Statistics and Probabilities, functional data analysis, smoothing, splines)
  • Joe, Harry Sue Wah (dependence modelling, copula construction, non-normal time series, extreme value inference, parsimonous high-dimensional dependence )
  • Mostafavi, Sara (machine/statistical learning applied to disease genetics )
  • Nolde, Natalia (Statistics and Probabilities, Multivariate extreme value theory, Risk assessment, Applications in finance, insurance, geosciences)
  • Salibian-Barrera, Matias (S-regression estimationg, robust statistics, functional principal component analysis, bootstrap estimators, rgam, clustering algorithm)
  • Welch, William (, Design of experiments, experiments with computer models, data mining, drug discovery, quality improvement)
  • Wu, Lang (Biostatistics)
  • Zamar, Ruben (Data mining and text mining, Modeling data quality, Development of new robust procedures, Statistical computing, Bioinformatics)

Recent Doctoral Citations

  • Dr. Shing Fu
    "Researchers today are able to study the behaviour of deep diving animals via sensors that generate high volumes of data. Dr. Fu developed automatic data analytic methods to group dive depth trajectories of southern elephant seals by dive shape. His methods help researchers understand seals' foraging and resting behaviour." (May 2019)
  • Dr. Tingting Zhao
    "Dr. Zhao worked on improving probabilistic models for Continuous Time Markov Chains and developing Bayesian models and associated Monte Carlo methods for inference. Her modelling framework has been applied to build novel protein evolution models, where the model complexity can be controlled and good estimation is achieved." (May 2019)
  • Dr. Tingting Yu
    "Dr. Yu developed statistical models and methods that can assess associations between longitudinal data and survival data, and handle the complications in the longitudinal data simultaneously. She applied her methods to an HIV vaccine study and discovered significant relationships between the risk of HIV infection and some immune response biomarkers." (May 2019)
  • Dr. Daniel Richard Dinsdale
    "Dr. Dinsdale developed new statistical methods to improve the prediction of oceanographic measurements, for example water temperature, using data collected by tags attached to marine mammals such as seals. This research helps to improve our understanding of changing ocean dynamics in sparsely sampled areas such as near Antarctica." (November 2018)
  • Dr. Xiaoli Yu
    "Developing a new drug can be a complicated, time consuming and expensive process. Dr. Yu developed a new optimal design method, which will accurately estimate the safe and effective dose level of the new drug for patients. Her study greatly improves the accuracy and safety of clinical trials, and speeds up the drug development process." (May 2018)

Further Program Information

 

Apply Now

If you don't have a UBC Campus-Wide Login (CWL) please create an account first.
 

September 2020 Intake

Application Open Date
01 October 2019
Canadian Applicant Deadline
15 January 2020
International Applicant Deadline
15 January 2020
 

Supervisor Search

 

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