February 15th is the deadline to apply if you wish to begin your program in September.

ProgramExpected LengthProject and/or thesisCourse based
M.Sc.2 years
Ph.D.4 years

Biostatistics is the study of statistical techniques applied to medical, biological and agricultural data. Applications arise in areas such as public health, clinical medicine, veterinary medicine, health services, and occupational/environmental health.

The Biostatistics Program is a collaborative venture of the School of Public Health, Department of Community Health and Epidemiology, and Department of Mathematics and Statistics. Through classroom participation, laboratory sessions, biostatistical consulting opportunities with core faculty members, and research, MSc and PhD students will have the opportunity to explore developments in theoretical statistics and the application of this theory in the life sciences. The Biostatistics Program provides students with opportunities to study and conduct research in such areas as:

  • Design and analysis of clinical trials;
  • Longitudinal data analysis;
  • Analysis of complex survey data;
  • Measurement error;
  • Survival analysis;
  • Computational statistics; and
  • Multivariate statistics.

The program prepares MSc graduates for positions that require expertise in data management, study design, and statistical modelling. The program prepares PhD graduates to assume faculty or other research-oriented positions in academic institutions or to take leadership positions in organizations that conduct health-related research. 

Research supervisors

We recommend that you contact the faculty that are doing research in an area that interests you before beginning a formal application.

Name Research areas
Xin FengSpatial statistics and disease mapping, survival and longitudinal data, Environmental and ecological statistics Infectious disease surveillance
Shahedul KhanBiostatistics, Changepoint Data, Longitudinal Data, Recurrent Event, Statistics, Survival Analysis
Bill LavertyComputer Security, Experimental and Sampling Design, Multivariate Statistics, Spatial Statistics, Statistics, Time Series Analysis, applied statistical method
Longhai LiBayesian Classification and regression, Bioinformatics, Machine learning, Monte Carlo methods, Statistics, applied statistics, health, statistics in finance, statistics in genomics, statistics in health
Hyun LimSurvival Analysis, Design & Analysis/Clinical Trials , Statistical Methods / Longitudinal Data , HIV/AIDS & TB, Injury Studies , Epidemiologic Studies
Juxin LiuMarkov chain Monte Carlo (MCMC) methodology, Statistics, epidemiology, errors-in-variable models, genetics, integration models, missing data analysis, remote sensing, spatial statistics
Punam PahwaStatistical Modeling of Survival Data, Modeling of Missing Observations , Costs of Farm Injuries
Chris SoterosBioinformatics, Combinatorics, Computer Simulation, Monte Carlo simulation, Statistical Mechanics, Statistics, polymers
Raj SrinivasanApplied probability, Markov chains, Queueing networks, Queueing theory, Statistics
Michael SzafronMonte Carlo simulations , Computational biomodelling of the structure/function of biopolymers, Statistical methods for the health sciences

Tuition and funding


There are a limited number of scholarships available to students in this program. When you speak with potential supervisors about the research you would like to do, ask about funding opportunities.

In addition to potential funding from your department, there are scholarships and awards available to all eligible students. There are also special programs for international students from China, Vietnam, and Ecuador.


Thesis or project based program

Graduate students in a thesis or project based program pay tuition three times a year for as long as they are enrolled in their program.

Term Canadian International
September 1 - December 31, 2016 $1300.00 $1950.00
January 1 - April 30, 2017 $1300.00 $1950.00
May 1 - August 31, 2017 $1300.00 $1950.00
Total per academic year $3900.00 $5850.00

Tuition information is accurate for the current academic year and does not include student fees. For detailed tuition and fees information, visit the official tuition website.

Admission requirements

  • A four-year BSc or BA degree from a recognized university in one of the following disciplines: mathematics, statistics, applied statistics, biostatistics, quantitative psychology, or any other discipline with a strong background in mathematics or statistics
  • A cumulative weighted average of at least 75% (U of S grade system equivalent) in the last two years of study (e.g. 60 credit units)
  • Proof of English language proficiency may be required for international applicants and for applicants whose first language is not English
  • Thesis-based M.Sc. in a relevant program - mathematics, statistics, applied statistics, biostatistics, quantitative psychology, or another discipline with a strong background in mathematics or statistics
  • A cumulative weighted average of at least 75% (U of S grade system equivalent) in the last two years of study (e.g. 60 credit units)
  • Proof of English language proficiency may be required for international applicants and for applicants whose first language is not English

To be eligible for admission as a PhD student, an applicant must have taken the following courses (or equivalents) during his/her MSc program: CHEP 800.3 (Epidemiology I), STAT 850.3 (Mathematical Statistics and Inference), and PUBH 842.3 (Current Topics in Biostatistics and Statistical Applications).

Application process

Find a supervisor

Using the list above, find a potential supervisor, read about the work they are currently doing and their past publications. If you think you'd like to work with them, contact them and describe your research interests and past academic experience. If they are accepting students, they will instruct you to begin a formal application.

Submit an online application

Once you begin an application, choose one of the following application forms in the system:

  • Graduate (B) Fall term start - September
  • Graduate (C) Winter term start - January
  • Graduate (D) Spring term start - May

During the application, you'll be asked for:

  • Personal information such as your name, address, etc.
  • The names and email addresses of your three referees
  • Your educational history from all post-secondary institutions you've attended

The application takes about 20 minutes to complete. You may save your application and return to it later as long as you remember the Login ID and PIN you've created.

At the end of the application, you will need to pay a non-refundable $90 application fee. It is recommended that you pay online with a credit card. If you do not pay online when completing your application, you will need to use an alternate form of payment. Your application will not be processed until payment is received.

If you are a past or current student you may begin an application in the admissions channel of PAWS.

Submitting required documents

Once you've completed an online application you will need to have the following documents submitted:

  • You will need to send in official transcripts of all previous undergraduate and graduate courses (including, where necessary, a certified English translation), even if a degree was not awarded. You do not need to submit transcripts for courses taken at the U of S.
  • Have the transcripts sent directly from the institutions to the department address below.
  • If your current degree is still in progress, you will need to arrange for your official final transcripts showing the awarding of your degree to be sent to your department.
  • Copies of transcripts are not acceptable as final admission documents, unless they have also been verified and stamped by your issuing institution.

If you are required to provide proof of English proficiency your English test results need to be sent directly from the organization where your tests were taken to the department address below.

In addition to the above official documents, send the following to the Graduate Secretary listed below:

  • A research overview that describes the individual's proposed area of research and how it links with the supervisor's area(s) of research expertise. This description should be 1,200 to 1,500 words in length.
  • Copies of your academic transcript(s): your official transcripts must be sent by the registrar(s) of the university or universities which you have attended
  • A curriculum vitae or resume
  • A writing sample of 1,000 to 1,200 words that includes a statement of education and employment history and how it relates to the study of biostatistics, a description of your educational and career goals, and an assessment of how the collaborative Biostatistics Program will help to achieve these goals.
  • A letter of support from your proposed supervisor

The programs committee may invite the applicant for a personal interview.


Biostatistics Program
School of Public Health
104 Clinic Place
University of Saskatchewan
Saskatoon, SK S7N 2Z4

Program Chair
Michael Szafron

Graduate Administrator
Marylin Rana