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Program Requirements
Revision, April 2021. Start of revision.
The M.Sc. in Experimental Surgery, Concentration in Global Surgery, emphasizes health care needs specifically within the surgical field in resource-limited settings. It comprises three main pillars: research, education, and mentorship. Through extensive research work, students will participate in the design and implementation of innovative approaches in surgical care and injury surveillance, advancing the surgical capacities in low and middle income countries. Students will also participate in global surgical endeavors allowing professionals from partner countries and Canada to engage in a learning and knowledge transfer experience through training and courses. Students choosing this option will have the opportunity to engage in international research projects including injury epidemiology surveillance and assessment of surgical access through the study of databases. The thesis must be relevant to global surgery.
Thesis Courses (30 credits)
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EXSU 690 M.Sc. Research 1 (4 credits)
Overview
Experimental Surgery : Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Terms: Fall 2021, Winter 2022
Instructors: There are no professors associated with this course for the 2021-2022 academic year.
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EXSU 691 M.Sc. Research 2 (4 credits)
Overview
Experimental Surgery : Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Terms: Fall 2021, Winter 2022
Instructors: There are no professors associated with this course for the 2021-2022 academic year.
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EXSU 692 M.Sc. Research 3 (4 credits)
Overview
Experimental Surgery : Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Terms: Fall 2021, Winter 2022, Summer 2022
Instructors: There are no professors associated with this course for the 2021-2022 academic year.
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EXSU 693 M.Sc. Thesis (18 credits)
Overview
Experimental Surgery : Written and oral presentation of thesis proposal to the research Supervisory Committee.
Terms: Fall 2021, Winter 2022, Summer 2022
Instructors: There are no professors associated with this course for the 2021-2022 academic year.
Required Courses (9 credits)
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EPIB 507 Biostats for Health Sciences (3 credits)
Overview
Epidemiology & Biostatistics : Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, non-parametric statistics, correlation and introduction to linear regression.
Terms: Fall 2021, Summer 2022
Instructors: Liu, Shuo Shuo (Fall) Rahme, Elham (Summer)
Prerequisite: Permission of instructor
Restriction: Restricted to students registered in the Faculty of Medicine, Dentistry, Human Nutrition, Medical Residents, and Clinical Fellows.
Course not opened to students registered in the Epidemiology and Biostatistics programs.
Due to the intensive nature of this course during the summer session, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day. The standard add/drop and withdrawal deadlines apply for sections of this course offered during the Fall or Winter semesters.
Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day.
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EPIB 521 Regression Analysis for Health Sciences (3 credits)
Overview
Epidemiology & Biostatistics : The aim of this course is to provide students with basic principles of regression analyses applicable to the health sciences so that they can understand and use appropriate statistical regression techniques for continuous and discrete data. The course will cover: Linear regression: Regression for two or more explanatory variables, Polynomial regression, Dummy variables, Inference for regression parameters, Confounding and collinearity, Effect modification, Model-checking, Model selection, Prediction. Logistic and Poisson regression: Logistic regression for one or more variables, Interpreting odds ratios, Inference for logistic and Poisson regression parameters, Confounding and interactions in logistic regression, Model selection, Prediction. A very brief overview of survival analysis.
Terms: Winter 2022
Instructors: Douwes-Schultz, Dirk (Winter)
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EXSU 602 Knowledge Management 2 (3 credits)
Overview
Experimental Surgery : Critical elements required for the creation and delivery of digital slide presentations.
Terms: Winter 2022
Instructors: Lapointe, Jacques; Gawri, Rahul (Winter)
3 hours/week
Compulsory for students in the Department of Surgery and available to others by permission of the coordinators
Restriction: Not open to students who have taken EXSU 601, 601D1/D2, 601N1/N2 prior to Fall 2019.
Complementary Courses (6 credits)
6 credits, taken from 500-, 600-, or 700-level courses in consultation with the Research Advisory Committee.
Depending on their individual background, students may be asked by their Research Advisory Committee to take additional courses.
Revision, April 2021. End of revision.
Faculty of Medicine & Health Sciences—2021-2022 (last updated Jun. 8, 2021) (disclaimer)
