"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 (Specialisation in biostatisticB), ‘2011
The M.Sc. program with a specialization in biostatistics 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.
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.
- M.Sc.(Epidemiology with Specialization in Biostatistics): 12 months Full time. (part time available case by case)
- 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 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 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.
Students will be registered in their home department, where they will be assigned a supervisor.
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
- Dr. Michael Mcissa: Development and application of statistical methods for public health: Two-phase study designs and methods for analysis of incomplete data; Design and analysis of epidemiological studies of rheumatology and vasculitis.
- Paul Peng: Statistical models for survival data with a cure fraction; statistical methods for causality analysis in observational studies; novel statistical methods for analyzing data from case-cohort studies; life expectancy calculations and use of statistical methods in assessing adoption of adjuvant chemotherapy for non-small cell lung cancer and bladder cancer in Ontario.
- Dongsheng Tu: Clinical trials; resampling methods and applications of censored data; meta-analysis; biostatistical theory and methods.
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.
- Glen Takahara: Bayesian methods and applications, orientation data analysis, and functional data.
- David Thomson: Analysis of global climate data, space physics, financial time series.
Cross Appointments for Mathematics & Statistics: Paul Peng, Dongsheng Tu, Bingshu Chen
All students in the program will be considered for funding support in accordance with their respective home program’s funding policy. They will be eligible to apply for teaching assistantships in either home department. Students participating in a practicum within Queen’s health research groups may receive a research assistantship.
Students are also encouraged to apply for external scholarships such as ACCELERATE Ontario – Ontario’s Graduate Research Internship Program.
Students may apply to either the Department of Public Health Sciences or the Department of Mathematics and Statistics.
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, or health sciences.
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
Before completing the online application, students are encouraged to contact the Graduate Assistant of the department through which they will apply to indicate their interests in completing the MSc with a specialization in Biostatistics.
Key Dates and Deadlines
Application Deadline: January 31st.
All completed applications will be reviewed starting in February each year.
Notification of Acceptance: Starting early Spring.
Degree Level Expectations - MSc. (150KB)
Interest in statistics and the cross over it has with biology.
A students search for missing data