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- Mathematics and Statistics Admission Requirements and Application Procedures
- Mathematics and Statistics Faculty
- Master of Arts (M.A.) Mathematics and Statistics (Thesis) (45 credits)
- Master of Arts (M.A.) Mathematics and Statistics (Non-Thesis) (45 credits)
- Doctor of Philosophy (Ph.D.) Mathematics and Statistics
Mathematics and Statistics
Location
Location
- Department of Mathematics and Statistics
- Burnside Hall, Room 1005
- 805 Sherbrooke Street West
- Montreal QC H3A 0B9
- Canada
- Telephone: 514-398-3800
- Email: grad.mathstat [at] mcgill.ca
- Website: mcgill.ca/mathstat/
About Mathematics and Statistics
About Mathematics and Statistics
The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s (M.A. or M.Sc.) and Ph.D. degrees. The research groups are:
- Algebra;
- Algebraic Geometry;
- Analysis;
- Applied Mathematics;
- Differential Equations;
- Differential Geometry;
- Discrete Mathematics;
- Geometric Group Theory;
- Logic;
- Mathematical Biology;
- Mathematical Physics;
- Number Theory;
- Probability;
- Statistics.
In the basic master’s programs, students must choose between the thesis option and the non-thesis option, which requires a project. The Ph.D. program in Mathematics and Statistics is thesis only.
The Department's website provides extensive information on the Department and its facilities, including the research activities and research interests of individual faculty members. It also provides detailed supplementary information concerning our programs, admissions, funding of graduate students, thesis requirements, advice concerning the choice of courses, etc.
Students are urged to consult the , which coordinates intermediate and advanced-level graduate courses among Montreal and Quebec universities. A list of courses available under the ISM auspices can be obtained from the ISM website. The ISM also offers fellowships and promotes a variety of joint academic activities greatly enhancing the mathematical environment in Montreal and in the province of Quebec.
Master of Arts (M.A.) Programs in Mathematics and Statistics
Detailed program requirements for the following M.A. programs are found in Arts > Graduate > Browse Academic Units & Programs > Mathematics and Statistics.
Master of Arts (M.A.) Mathematics and Statistics (Thesis) (45 credits) |
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The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.A.). The thesis option requires a thesis and six approved courses. |
Master of Arts (M.A.) Mathematics and Statistics (Non-Thesis) (45 credits) |
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.A.). The non-thesis option requires a project and eight approved courses. |
Master of Science (M.Sc.) Programs in Mathematics and Statistics
Detailed program requirements for the following M.Sc. programs are found in Science > Graduate > Browse Academic Units & Programs > Mathematics and Statistics.
Master of Science (M.Sc.) Mathematics and Statistics (Thesis) (45 credits) |
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The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.Sc.). The thesis option requires a thesis and six approved courses. |
Master of Science (M.Sc.) Mathematics and Statistics (Non-Thesis) (45 credits) |
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.Sc.). The non-thesis option requires a project and eight approved courses. |
Ph.D. Programs in Mathematics and Statistics
Doctor of Philosophy (Ph.D.) Mathematics and Statistics |
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The Department offers a course of studies leading to the Ph.D. degree. It differs substantially from the master’s programs in that the student must write a thesis that makes an original contribution to knowledge. The thesis topic is chosen by the student in consultation with the research supervisor. The thesis must be examined and approved by an internal examiner (usually a member of the Progress Tracking Committee), an external examiner, and the Oral Examination Committee. The student must present an oral defence of the thesis before that Committee. To submit a thesis for examination, the student must first pass the Ph.D. Qualifying Examination. |
Mathematics and Statistics Admission Requirements and Application Procedures
Mathematics and Statistics Admission Requirements and Application Procedures
Admission Requirements
Admission Requirements
In addition to the general Graduate and Postdoctoral Studies requirements, the Department requirements are as follows:
Master's Degree
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.
Ph.D. Degree
A master's degree with high standing is required, in addition to the requirements listed above for the master’s program. Students may transfer directly from the master’s program to the Ph.D. program under certain conditions. Students without a master's degree, but with exceptionally strong undergraduate training, may be admitted directly to Ph.D. 1.
Application Procedures
Application Procedures
À¦°óSMÉçÇø’s online application form for graduate program candidates is available at mcgill.ca/gradapplicants/apply.
See University Regulations & Resources > Graduate > Graduate Admissions and Application Procedures > Application Procedures for detailed application procedures.
Additional Requirements
Additional Requirements
The items and clarifications below are additional requirements set by this department:
- Personal Statement – In the personal statement, the applicants should clearly explain their choice of preferred research group(s) and preferred area(s) of research, as well as providing relevant information that will not be reflected on their transcripts
- Research Proposal (optional) – If applicants have a specific research problem of interest that they want to pursue, they may discuss the details in the research proposal
- Applicants in pure and applied mathematics should provide a GRE score report, if available
For more details, please consult mcgill.ca/mathstat/postgraduate/prospective-students/admissions.
Application Dates and Deadlines
Application Dates and Deadlines
Application opening dates are set by Enrolment Services in consultation with Graduate and Postdoctoral Studies (GPS), while application deadlines are set by the Department of Mathematics and Statistics and may be revised at any time. Applicants must verify all deadlines and documentation requirements well in advance on the appropriate À¦°óSMÉçÇø departmental website; please consult the list at mcgill.ca/gps/contact/graduate-program.
Information on application deadlines is available at mcgill.ca/gradapplicants/how-apply/application-steps/application-deadlines.
Admission to graduate studies is competitive; accordingly, late and/or incomplete applications are considered only as time and space permit.
Mathematics and Statistics Faculty
Mathematics and Statistics Faculty
Interim Chair |
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Rustum Choski |
Graduate Program Director |
Jérôme Vétois |
Undergraduate Program Director |
Armel Djivede Kelome |
Emeritus Professors |
William J. Anderson; Michael Barr; Peter Bartello; William G. Brown; Ian Connell; Stephen Drury; Kohur N. GowriSankaran; Paul Koosis; Michael Makkai; Sherwin Maslowe; Arak M. Mathai; Karl Peter Russell; Georg Schmidt; George P.H. Styan; Kwok Kuen Tam; John C. Taylor; David Wolfson; Jian-Jun Xu; Sanjo Zlobec |
Professors |
Louigi Addario-Berry; Masoud Asgharian; Rustum Choksi; Henri Darmon; Christian Genest; Eyal Z. Goren; Pengfei Guan; Jacques C. Hurtubise; Dmitry Jakobson; Vojkan Jaksic; Joel Kamnitzer; Niky Kamran; Eric D. Kolaczyk; Jean-Philippe Lessard; Johanna Neslehova; Adam Oberman; Charles Roth; David A. Stephens; John A. Toth; Adrian Vetta; Daniel T. Wise |
Associate Professors |
Patrick Allen; Linan Chen; Tim Hoheisel; Antony R. Humphries; Abbas Khalili; Jessica Lin; Jean-Christophe Nave; Sergey Norin; Elliot Paquette; Mikael Pichot; Piotr Przytycki; Marcin Sabok; Russell Steele; Anush Tserunyan; Gantumur Tsogtgerel; Jérôme Vétois; Archer Yang |
Assistant Professors |
Medhi Dadoug;Courtney Paquette; Brent Pym |
Associate Members |
Simon Caron-Huot; Xiao-Wen Chang; Luc Devroye; Pierre R. L. Dutilleul; Leon Glass; James A. Hanley; Hamed Hatami; Anmar Khadra; Xue Liu; Michael Mackey; Erica E.M. Moodie; Prakash Panangaden; Robert W. Platt; Alexandra Schmidt; Kaleem Siddiqi; Christina Wolfson |
Adjunct Professors |
Syed E. Ahmed; Andrew Granville; Alexis Hannart; Adrian Iovita; Dimitris Koukoulopoulos; Michael Lipnowski; Ming Mei; Claude-Alain Pillet; Iosif Polterovich; Armen Shirikyan |
Senior Faculty Lecturers |
José A. Correa; Axel Hundemer; Armel Djivede Kelome |
Faculty Lecturers |
Rosalie Bélanger-Rioux; Jérôme Fortier; Kiwon Lee; Jens Kreitewolf, joint with Psychology; Jeremy Macdonald; Tharshanna Nadarajah; Alia Sajjad; Sidney Trudeau |
Master of Arts (M.A.) Mathematics and Statistics (Thesis) (45 credits)
For more information, see Master of Arts (M.A.) Mathematics and Statistics (Thesis) (45 credits).
Master of Arts (M.A.) Mathematics and Statistics (Non-Thesis) (45 credits)
For more information, see Master of Arts (M.A.) Mathematics and Statistics (Non-Thesis) (45 credits).
Doctor of Philosophy (Ph.D.) Mathematics and Statistics
The Ph.D. in Mathematics and Statistics focuses on research in the mathematical or statistical sciences, including the completion of original research publishable in mainstream refereed journals.
For more information, see Doctor of Philosophy (Ph.D.) Mathematics and Statistics.