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McGill University - Graduate and Postdoctoral Studies

Graduate and Postdoctoral Studies
845 Sherbrooke Street West
Montréal, QC
Canada H3A 2T5

Mathematics and Statistics: Bioinformatics (M.Sc. Thesis)

   
Program Information
Faculty: Faculty of Science
Degree: Master
Field of Study: BioinformaticsMathematics and Statistics
Description Bioinformatics research lies at the intersection of biological/medical sciences and mathematics/computer science/engineering. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases, and the use of algorithms and statistics. Students successfully completing the Bioinformatics option at the M.Sc. level will be fluent in the concepts, language, approaches, and limitations of the field.
Website: Mathematics and Statistics: Bioinformatics (M.Sc. Thesis) at McGill University - Graduate and Postdoctoral Studies
Areas of Research: Bioinformatics, Computational Science and Engineering
Thesis Based? Yes
Length: 2 Year(s)
Cost per year:
Provincial:$4,151.09
National:$9,162.89

Cost per year represents typical annual fees based on 30 credits taken during Fall and Winter terms.
Requirements
Additional Admission Requirements:
  • Letter(s) of Reference
  • Statement of Research Interests
The normal entrance requirement for the master's programs is a Canadian honours degree or its equivalent, with high standing, in mathematics or a closely related discipline in the case of applicants intending to concentrate in statistics or applied mathematics. Applicants wishing to concentrate in pure mathematics should have a strong background in linear algebra, abstract algebra, and real and complex analysis. Applicants wishing to concentrate in statistics should have a strong background in linear algebra and basic real analysis. A calculus-based course in probability and one in statistics are required, as well as some knowledge of computer programming. Some knowledge of numerical analysis and optimization is desirable. Applicants wishing to concentrate in applied mathematics should have a strong background in most of the areas of linear algebra, analysis, differential equations, discrete mathematics, and numerical analysis. Some knowledge of computer programming is also desirable. Students whose preparation is insufficient for the program they wish to enter may, exceptionally, be admitted to a Qualifying year.

* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

Last Updated: October 20, 2017