Master of Science in Statistics (MSc)


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. We currently have programs at both the Masters and PhD levels. At the MSc level we offer a MSc in Statistics and a MSc in Statistics with a Biostatistics option (in collaboration with the School of Population and Public Health). Students can choose to do a thesis, a final project or an 8-month full-time Co-op placement (internship) outside the Department.

With appropriately selected courses during their MSc program, our students can prepare themselves for a successful career in biostatistics, bioinformatics / genomics, data mining, statistical computing, among others.

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. These values are apparent not only in individual faculty’s research programs but also in our undergraduate and graduate curriculum.

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. These opportunities are facilitated by the involvement of our faculty members in various collaborative and interdisciplinary research projects. In addition, our graduate students run their own statistical consulting service, which provides them with professional (paid) experience even before they finish their program.

Quick Facts

Master of Science
Mode of delivery
On campus
Program Components
Coursework + Options
Faculty of Science

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

Program Components

Besides required courses, MSc. students must complete either a thesis or major project. During the first year, students can apply for a Co-op option, and complete two Co-op terms.


Document Requirements

We require a statement of interest, as well as a CV.

TOEFL (ibT) Overall Score Requirement


IELTS Overall Score Requirement


Supervisor commitment required prior to application?


Prerequisites / Course Requirements

The department's Admissions Committee has outlined the following requirements, along with other desired courses and skills. Note that meeting the minimum requirements does not guarantee admission. Note also that an applicant missing a course or two but with other strong attributes, such as work experience as a statistician, will be seriously considered.


required: calculus (differentiation, integration, multivariable calculus) as obtained in UBC MATH 100, 200, 253
required: linear algebra, as obtained in UBC MATH 221

In addition, the student should have some ability in constructing proofs, for instance concerning continuity and limits, such as acquired in UBC MATH 200.


required: an intoductory course including axioms of probability, various common distributions, multivariate distributions and some limit theorems, as obtained through UBC MATH/STAT 302 or via the text Introduction to Probability and Its Applications, 2nd edition, by R.L. Scheaffer.
recommended but not required: stochastic processes, as obtained through UBC MATH 303


required: familiarity with R
recommended but not required: experience in coding such as C/C+ or Python


required: an introductory course in statistical methods, such as UBC STAT 200 or via the text Statistics Data and Models, Pearson Canada, 2015, by De Veaux Velleman and Bock
required: a course in statistical inference/mathematical statistics: theory of estimation and hypothesis testing, such as UBC STAT 305 or via the text Mathematical Statistics and Data Analysis, Wadsworth & Brooks/Cole, 1988, by John Rice
required: either a course in regression analysis or a course in the design of experiments/ANOVA. The regression course should cover the material in UBC STAT 306, with text Applied Linear Regression, Wiley, by S. Weisberg. The design/ANOVA course should cover the material in UBC STAT 404, with text Design and Analysis of Experiments, Wiley, latest edition, by D. Montgomery.

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: 05 January 2020
Transcript Deadline: 15 January 2020
Referee Deadline: 20 January 2020
International Applicants
Application Deadline: 05 January 2020
Transcript Deadline: 15 January 2020
Referee Deadline: 20 January 2020

Career Options

Our MSc program is flexible, and allows students to prepare themselves for a successful career in industry or the public sector, or to enter a PhD program. Former students looking for a job after graduation have been promptly offered employment in many different industries and government agencies, while those who wanted to pursue a PhD degree have been admitted to top-ranked schools. 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%)
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

New registrations101411129
Total enrolment2930262120

Completion Rates & Times

This program has a graduation rate of 93.88% based on 49 students admitted between 2008 - 2011. Based on 33 graduations between 2014 - 2017 the minimum time to completion is 1.66 years and the maximum time is 2.66 years with an average of 1.91 years of study. All calculations exclude leave times.
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: 23 September 2018].

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)
  • Brant, Rollin (Child health research)
  • 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 (Statistics and Probabilities, 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)
  • Petkau, A John (Development and application of statistical methodology for clinical trials of therapies in multiple sclerosis )
  • 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)

Further Program Information


September 2020 Intake

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

Supervisor Search


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