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Master of Science (M.Sc.); Epidemiology (Thesis) (48 credits)

Offered by: Epidemiology and Biostatistics     Degree: Master of Science

Program Requirements

Students will study the foundations and principles of epidemiology and applied biostatistics, in order to design, conduct, and analyze clinical, population-based, environmental, policy, and methodological health-related research. Graduates will be prepared to engage in scientific collaboration, and communicate results to other scientists and diverse audiences.

Thesis Course (24 credits)

  • EPIB 690 M.Sc. Thesis (24 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics

    Terms: Fall 2012, Winter 2013, Summer 2013

    Instructors: There are no professors associated with this course for the 2012-2013 academic year.

Required Courses (22 credits)

Students exempted from any of the courses listed below must replace them with additional complementary course credits.

  • EPIB 601 Fundamentals of Epidemiology (4 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : This course aims to provide a comprehensive introduction to epidemiologic concepts and corresponding terms. After an introduction to the history, definition, and purposes of epidemiology, "core" concepts that are relevant in several areas of investigation (e.g., etiologic research, health care research, and community medicine practice) will be presented.

    Terms: Fall 2012

    Instructors: Arijit Nandi, Jean-Francois Boivin (Fall)

    • Corequisites: EPIB 602 and EPIB 607
    • Restrictions: Not open to students who have taken EPIB 606. Open to students in Epidemiology or Biostatistics programs, or permission of instructor.
  • EPIB 602 Foundations of Population Health (3 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : Introduction to global population health, including causes of morbidity and mortality, surveillance systems and vital statistics, and trends over time. Overviews of epidemiology of cancer, cardiovascular, infectious, environmental, psychiatric and nutritional diseases. Fundamentals and methods for studying burden of disease in populations, and how these differ across time, space, groups.

    Terms: Fall 2012

    Instructors: Gilles Paradis (Fall)

  • EPIB 603 Intermediate Epidemiology (4 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : Concepts and methods for epidemiology at the intermediate level, including causation, measures of disease occurrence and effect, study designs, biases in epidemiologic research, interaction, and data analysis for categorical and survival data using statistical software.

    Terms: Winter 2013

    Instructors: Samuel Harper (Winter)

    • Prerequisites: EPIB 601, EPIB 602, and EPIB 607.
    • Restriction: Not open to students who have taken EPIB 634.
  • EPIB 605 Critical Appraisal in Epidemiology (1 credit)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : This course provides the opportunity to develop skills to critically evaluate evidence presented in the biomedical and health sciences literature, based on the concepts acquired in the epidemiology introductory courses.

    Terms: Winter 2013

    Instructors: Maida Sewitch, Theresia Gyorkos, Elham Rahme (Winter)

    • Prerequisites: EPIB 601 and EPIB 607.
  • EPIB 607 Inferential Statistics (4 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : Introduction to the basic principles of statistical inference used in clinical and epidemiologic research. Topics include variability; methods of processing and describing data; sampling and sampling distributions; inferences regarding means and proportions, non-parametric methods, regression and correlation.

    Terms: Fall 2012

    Instructors: Erica Moodie, Olli Saarela (Fall)

    • Prerequisite (Undergraduate): A first year course in undergraduate differential and integral calculus.
  • EPIB 613 Introduction to Statistical Software (1 credit)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : Introduction to statistical software and data management; including basics of entering, manipulating data and elementary statistical analysis, SAS software, with reference to other packages of potential interest to students (R, Stata, SPSS).

    Terms: Fall 2012

    Instructors: Jay Kaufman, Lawrence Joseph (Fall)

    • Prerequisite: Enrolment in Epidemiology stream program or permission of instructor.
  • EPIB 614 Basics of Measurement in Epidemiology (1 credit)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : The course will review principles that can be applied to measuring a wide range of exposures, as well as outcomes. Accurate measurement is essential to the validity of epidemiological research.Topics to be covered include measurement error, and the design, analysis, and interpretation of validity and reliability studies.

    Terms: Winter 2013

    Instructors: Jane McCusker (Winter)

    • Prerequisites: EPIB 601, EPIB 602 and EPIB 607
    • Restriction: Open only to students in the M.Sc. and Ph.D. programs in Epidemiology, Biostatistics and Occupational Health.
  • EPIB 621 Data Analysis in Health Sciences (4 credits)

    Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

    Administered by: Graduate Studies

    Overview

    Epidemiology & Biostatistics : Univariate and multivariate statistical techniques for continuous categorical and survival data. Topics include generalized linear models, multiple linear and logistic regression, introductory survival analysis, model selection. Maximum likelihood and Bayesean approaches will be presented.

    Terms: Winter 2013

    Instructors: Aurelie Labbe (Winter)

    • Prerequisites: EPIB 601 or EPIB 606, and EPIB 607 or permission of instructor.

Complementary Course (2 credits)

2 credits of coursework, at the 500 level or higher, chosen in consultation with the student's academic adviser or supervisor.

Faculty of Medicine—2012-2013 (last updated Dec. 20, 2012) (disclaimer)