School of Graduate Studies

School of Graduate Studies
School of Graduate Studies


Graduating Biostats students


"At a group meeting during my Bachelor of Education at Queen’s, I met a classmate who was finishing up her masters in Math at Queen’s concurrently. That conversation inspired me to apply to the Biostatistics program at Queen’s. My two supervisors continue to be involved in my career development today. During my degree, I had a placement working at the Ottawa Hospital Research Institute as a Biostatistician. I was given the opportunity to work with people who were passionate about the field of Statistics and Epidemiology. After my placement, I was offered a full-time position at the OHRI as a Biostatistician. The mandatory courses for this degree were essential for my success in my career today. I owe this success to you, Queen’s! ”
Katelyn Balchin, M.Sc. in Math & Stats (Specialization in biostatistics), ‘2011

Program Contact

Any correspondence should be directed to respective departments:

For Dept of Public Health Sciences

For Dept of Mathematics & Statistics


Program Overview

Queen’s University is one of Canada’s most research-intensive universities with a medical school. Queen’s also houses a world-class group of biostatistics faculty members who are heavily involved in health-related research. The biostatistics program at Queen’s has been greatly benefited from Queen’s excellence in health research. The program is jointly offered by the Department of Public Health Sciences and Department of Mathematics and Statistics.

The two departments offer strong graduate programs that include a broad range of courses in statistics, biostatistics, epidemiology, and health-services research. By combining these resources, students in the collaborative program will have unique opportunities to develop the analytical skills and practical experience needed to interact with practitioners and to work in health projects closely with health researchers, or to work in methodological research with biostatistics faculty members.

A graduate degree in Biostatistics will equip students with a sound knowledge in observational and experimental study designs, statistical theory, statistical models for health data analysis, and statistical computing. A four-month practicum will provide students opportunities to apply basic knowledge and develop consulting expertise within a health research group in an academic or industry setting. Graduates of this program will be capable of working as biostatistical data analysts in public and private sectors, such as government agencies, pharmaceutical companies in industry, and multidisciplinary health research teams in research centres, institutions, and hospitals.


Students have unique opportunities to develop their analytic skills and practical experience. Students find themselves in a stimulating health research environment and work with excellent research groups in most major fields in health sciences such as the NCIC Clinical Trials Group and the Cancer Care and Epidemiology Group in the Queen’s Cancer Research Institute, the Centre for Health Services and Policy Research, Emergency Medicine and Injury Research Group, Queen’s – ICES Health Services Research, Social Program Evaluation Group, Centre for Studies in Primary Care, Centre for Obesity and Research Education (CORE), Nursing (PRN) group, Mental Health Research Group, Clinical Research Centre in Kingston General Hospital (KGH), and Research and Education Program at KFL&A Public Health Unit.

Career paths – employment opportunities

High employment opportunities in Canada and internationally in pharmaceutical companies, private industry, contract research organizations, regional or national centers for health research, academic centers, public health and government agencies, medical research institutions, and universities.

Degrees Offered/Method of Completion

Degrees Offered

  • M.Sc.(Public Health Sciences Specializing in Biostatistics): 12 months Full time. (part time available case by case)
  • PhD Public Health Sciences Specializing in Biostatistics: 4 years
  • M.Sc.(Mathematics and Statistics with Specialization in Biostatistics): 12 months Full time. (part time available case by case)

Method of Completion

Course work, practicum or research project.

All MS.c students are required to complete eight courses in two terms (including 6 core courses and two elective courses approved by the home department) and a one-term (4 month) supervised practicum project in biostatistics.

In the practicum, students will complete either a research project pertaining to some aspect of the biostatistics methodological research work of their supervisor or a practicum placement with an academic or industry-based research group pertaining to the biostatistics applications.

Through the combination of coursework and practicum experience, the program stresses the development of the analytical, technical and interpersonal skills required for a biostatistician to work effectively in multi-disciplinary health research environments.

PHS Ph.D students will complete required courses (1 core and three electives), comprehensive examinations (written and oral) and a dissertation

Students will be registered in their home department, where they will be assigned a supervisor.

Fields of study and Supervisors

Public Health Sciences

  • Bingshu Chen: Survival analysis, design and analysis of clinical trials, cancer genetics and epidemiology
  • Keyue Ding: Design and analysis of clinical trials; Sequential analysis; Statistical quality control procedures; Change point detection and estimation; Statistical computing
  • Zihang Lu: Design and analysis of observational studies; statistical methods for disease subtyping; longitudinal and functional data analysis; mixture modelling, Bayesian data analysis.
  • Paul Peng (Program Director): Survival Analysis; cure models; observational and epidemiological research methods; health services research; statistical computing
  • Dongsheng Tu: Clinical trials, resampling methods and applications of censored data, meta-analysis, biostatistical theory and methods.
    Wei Tu: Personalized medicine; robust dimensionality reduction; data privacy and its application in clinical trials; interpretable machine learning.

Mathematics & Statistics

  • Wenyu Jiang: Statistical methods in clinical trials; survival analysis; computational methods; analysis of genomic data
  • Devon Lin: Theory and applications of fractional factorial designs, design construction for computer experiments, evaluation of complex computer models, interface between data collection and modelling
  • Yanglei Song: Sequential analysis; multiple testing with sequential data; change detection with experimental design; rare event simulation
  • Glen Takahara: Bayesian methods and applications, orientation data analysis, and functional data
Funding, Academic Prerequisites & Deadline

Funding Information

Ph.D students will receive a minimum of $18,000 CAD per year.

M.Sc students in the program will be considered for funding support in accordance with their respective home program’s funding policy. 

Individual funding packages for full-time students in the program will be developed based upon the student’s academic standing and on the sources of money available each year. These packages are funded through a combination of external awards, internal awards, internal departmental awards, faculty support, teaching assistantships, graduate research assistant fellowships, and research assistantships.

Applying for external funding from CIHR, NSERC, OGS, ACCELERATE Ontario, and other sources are encouraged. Queen’s automatically issues a $5,000 top-up to federal tri-council scholarship holders in their first year of study. For more information, see the School of Graduate Studies’ information page on awards and scholarships in addition to the home department’s graduate awards page.

Academic Prerequisites

M.Sc students may apply to either the Department of Public Health Sciences or the Department of Mathematics and Statistics.

M.Sc applicants must first meet the academic prerequisites for the Master’s program of the department through which they will be applying in order to be considered for the specialization.

Applicants to the collaborative program will normally have an Honours B.Sc. degree with high standing (75% or above), sound analytical training, and a strong interest in applications in biology, life sciences, health sciences or economics.

Test Requirements

A TOEFL score (or equivalent) with satisfactory standing may be required if native languages of a student do not include English. All applicants with a degree from a non-Canadian University may be required to submit GRE scores. See department for details

Key Dates and Deadlines

Public Health Sciences Ph.D Application Deadline:  January 31st

Public Health Sciences M.Sc Application Deadline:  January 15th

Mathematics & Statistics Application Deadline: January 31st.

All completed applications will be reviewed starting in February each year.

Notification of Acceptance: Starting early Spring.

Learning Outcomes
How to Apply

Please visit the website of the Department of Public Health Sciences BEFORE starting your application:

PhD - How to Apply

MSc - How to Apply

Program Overview

View the Grad Maps for this department and all graduate degrees on the Career Services website

photo of Laura HolderLaura Holder
A students search for missing data