UofC

Department of Mathematics and Statistics:

Location: Math Sciences Building, Room 462
Program number: 403.220.6299
Fax: 403.282.5150
Email address: gradapps@math.ucalgary.ca
Web page URL: math.ucalgary.ca/graduate

Department of Community Health Sciences:

The University offers an interdisciplinary specialization in Biostatistics at the master’s and doctoral levels through the following Faculties and graduate programs:

• Cumming School of Medicine; Community Health Sciences
• Faculty of Science; Mathematics and Statistics

The student will receive the degree offered by the home program:

• Master of Science in Mathematics and Statistics (thesis-based)
• Master of Science in Community Health Sciences (thesis-based)
• PhD in Mathematics and Statistics
• PhD in Community Health Sciences

In addition to the home program requirements, all applicants must meet the following requirements:

• In the case of the MSc Biostatistics Specialization, a bachelor's degree in statistics, or its equivalent, is usually required.
• In the case of the PhD Biostatistics Specialization, a master's degree in statistics, or its equivalent, is usually required.
• Students must also have a letter from a faculty member in the home program indicating an agreement to supervise the applicant. Students are strongly encouraged to approach potential supervisors in advance of applying for entry into the home program and Biostatistics specialization.

The deadlines for applying for admission into the Biostatistics Specialization are those of the home graduate program. See Mathematics and Statistics or Community Health Sciences program descriptions.

The applicant should make requests for advanced credit at the time of application, as part of the admissions process. See Advanced Credit for further information.

MSc (thesis-based)

• Community Health Sciences 600: Introduction to Community Health Sciences (3 units);
• Community Health Sciences 640: Fundamentals of Epidemiology (3 units);
• Statistics 721: Statistical Inference (3 units);
• Electives: A minimum of 9 units (1.5 full-course equivalents) from List A or B, with at least 3 units from each of A and B;
• and Biostatistics 600: Research Seminar course (1.5 units).

Doctor of Philosophy

• Community Health Sciences 600: Introduction to Community Health Sciences (3 units);
• Community Health Sciences 640: Fundamentals of Epidemiology (3 units);
• Statistics 721: Statistical Inference (3 units);
• Statistics 641 Statistical Learning (3 units) or STAT 631 Computational Statistics (3 units);
• Electives: A minimum of 9 units (3 HCEs) from List A or B, with at least 3 units from each of A and B;
• and Biostatistics 600: Research Seminar course (1.5 units).

In addition, PhD students in the Mathematics and Statistics program must pass two Preliminary Examinations in Statistics based on material for two of the following courses: Statistics 701, 721, 631, 635, 641.

N.B. PhD required courses (or equivalents) are based on courses taken across graduate studies; i.e., if the student has taken equivalent courses in an MSc program, they are not required to retake these courses. However, the elective requirements cannot be waived.

List A: Epidemiology and Health

• Community Health Sciences 641: Introduction to Clinical Trials
• Community Health Sciences 643: Research in Healthcare Epidemiology and Infection Control
• Community Health Sciences 644: Surveillance I: Data Handling for Infection Control
• Community Health Sciences 647: Clinical Epidemiology
• Community Health Sciences 649: Epidemiology of Infectious Diseases
• Community Health Sciences 661: Health Economics I
• Community Health Sciences 662: Economic Evaluation
• Community Health Sciences 663: Decision Analysis in Health Economics
• Community Health Sciences 664: Administrative Data Analysis Methodology
• Community Health Sciences 681: Health Research Methods
• Community Health Sciences 740: Advanced Epidemiology
• Community Health Sciences 741: Systematic Reviews and Meta-analysis.

Relevant topics courses and directed study courses may be approved by the graduate program director in consultation with the supervisor.

List B: Biostatistics / Statistics

• Community Health Sciences 611: Models for Health Outcomes (Biostatistics II)
• Community Health Sciences 612: Models for Repeated Measures Studies and Time-to-Event Studies (Biostatistics III)
• Statistics 619: Bayesian Statistics
• Statistics 625: Multivariate Analysis
• Statistics 633: Survival Analysis
• Statistics 635: Generalized Linear Models
• Statistics 637: Non-linear regression
• Statistics 631: Computational Statistics
• Statistics 641: Statistical Learning
• Statistics 701: Theory of Probability I
• Statistics 723: Theory of Hypothesis Testing.

Relevant topics courses and directed study courses may be approved by the graduate program director in consultation with the supervisor.

Students in the Community Health Sciences program must attend all CHS departmental seminars.

See requirements of home program.

Expected completion time is two years for full-time students in a thesis-based master's program and four years in a doctoral program.

The maximum completion time allowed for a thesis-based master’s program is four years. The maximum completion time allowed for a doctoral program is six years.

See requirements of home program.

See requirements of home program (Mathematics and Statistics or Community Health Sciences), and the Faculty of Graduate Studies (Academic Regulations).

See home program.

Faculty members associated with the Biostatistics cpecialization have wide-ranging research interests. A non-exhaustive list of research areas available to work in is given by:

• statistical learning
• data science and "big data" problems
• computational statistics and Monte Carlo methodology
• clinical trials
• population health/ecology
• statistical genetics
• bioinformatics infectious disease modeling
• disease surveillance
• longitudinal data analysis 
• survival analysis
• experimental design 
• Bayesian statistics
• spatial and spatio-temporal data analysis.

Research topics for thesis-based MSc and PhD applicants should be decided in discussion with supervisors.