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Mathematics and Statistics (MATH)

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Mathematics and Statistics (MATH)

Location

Location

  • Burnside Hall, Room 1005
  • 805 Sherbrooke Street West
  • Montreal QC H3A 0B9
  • Telephone: 514-398-3800
  • Website: www.mcgill.ca/mathstat

About Mathematics and Statistics

About Mathematics and Statistics

Mathematics and statistics are omnipresent in today's world of information and technology. Their theories, models, and methods are integral to the way we analyze, understand, and build the world around us. They play a key role in nearly every effort to push the boundaries of science, engineering, medicine, and social sciences and contribute, in a major way, to solving some of the most pressing human, environmental, and economic problems of our time.

The Department of Mathematics and Statistics is one of the oldest and most distinguished of its kind in Canada. It is home to active, internationally acclaimed, and award-winning researchers in the three principal subdisciplines in the mathematical sciences.

Pure mathematics is concerned with abstract structures and concepts mainly with respect to their intrinsic and technical nature, although many areas in pure mathematics have developed from questions in science and technology. Core areas of expertise in pure mathematics include algebra, analysis, geometry, number theory, and topology.

Applied mathematics develops and utilizes advanced mathematical methods to solve problems in a broad range of applications in science, technology, engineering, computer science, and business. Core areas of expertise in applied mathematics include discrete mathematics, game theory, graph theory, mathematical physics, numerical analysis, optimization, and probability.

Statistics is motivated by the need to extract information from data, to quantify uncertainty, and to make predictions about random phenomena. To do this effectively, sophisticated mathematical and probabilistic techniques and computational tools are needed. Core areas of expertise include Bayesian inference, biostatistics, computational statistics, high-dimensional data modeling, multivariate analysis, and survival analysis.

Undergraduate Program Options

Undergraduate Program Options

Our programs provide a broad and solid mathematical and statistical education that paves the way to many interesting career options in academia, government, and industry. Top students typically get admitted to prestigious graduate schools around the world and often become leaders in their areas of research in academic or industrial settings. Our graduates at all levels are in high demand in government departments, health research centers, banks, insurance and pharmaceutical companies, statistical agencies, and multinational high-technology industries.

There are two popular undergraduate streams. The Honours programs in mathematics, applied mathematics and probability/statistics (including Joint Honours with Physics or Computer Science) are at an advanced level for students who wish to specialize their studies in the mathematical sciences. The Honours stream is well suited for students who intend to move on to graduate school and essential for those who are envisaging research careers in the mathematical sciences. The Major versions are less intense and leave room for a Minor or a second Major concentration in another discipline. The Major stream is particularly suited for students whose future creative activity will involve mathematics or statistics and its applications in another area. Several Joint Major programs and a Liberal program are also available.

Furthermore, the Desautels Faculty of Management offers the B.Com. degree with a Major in Mathematics.

Students considering programs in Mathematics and Statistics are encouraged to contact the Department of Mathematics and Statistics to arrange for academic advising.

Research Opportunities

Research Opportunities

During their undergraduate degree, students in the Department of Mathematics and Statistics are encouraged to engage in research. The two main opportunities are:

  • Funded summer research projects allowing students to engage in state-of-the art research with faculty members
  • Opportunities for hands-on experience with data analysis offered through the Statistical Consulting Service

Internship Opportunities

Internship Opportunities

Students who want to get practical experience in industry before graduation are encouraged to participate in one of the following internship programs:

  • The Internship Year in Science (IYS) is an option offered for a duration of 8, 12, or 16 months. It is reflected on the transcript and included in the program name (Bachelor of Science – Internship Program). Eligible students usually take this program between their U2 and U3 years.
  • The Industrial Practicum (IP) has a duration of four months and is usually carried out starting in May. It will appear as a 0-credit, Pass/Fail course on your transcript.

For more information on these opportunities, consult Science Internships and Field Studies.

Note: Students entering a program listed below that has MATH 222 (Calculus 3) as a required course and who have successfully completed a course equivalent to MATH 222 with a grade of C or better may omit MATH 222 (Calculus 3) from the program, but must replace it with 3 credits of mathematics complementary courses chosen after consultation with a Mathematics adviser.
Programs, Courses and University Regulations—2018-2019 (last updated Aug. 16, 2018) (disclaimer)

Mathematics and Statistics Faculty

Mathematics and Statistics Faculty

Chair
David A. Stephens
Graduate Program Director
Dmitry Jakobson
Emeritus Professors
William J. Anderson; B.Eng., Ph.D.(McG.)
Michael Barr; A.B., Ph.D.(Penn.) (Peter Redpath Emeritus Professor of Pure Mathematics)
William G. Brown; B.A.(Tor.), M.A.(Col.), Ph.D.(Tor.)
Marta Bunge; M.A., Ph.D.(Penn.)
Ian Connell; B.Sc., M.Sc.(Manit.), Ph.D.(McG.)
Kohur N. GowriSankaran; B.A., M.A.(Madr.), Ph.D.(Bom.)
Paul Koosis; B.A., Ph.D.(Calif., Berk.)
Michael Makkai; M.A., Ph.D.(Bud.) (Peter Redpath Professor of Pure Mathematics)
Sherwin Maslowe; B.Sc.(Wayne St.), M.Sc., Ph.D.(Calif.)
Arak M. Mathai; M.Sc.(Kerala), M.A., Ph.D.(Tor.)
Karl Peter Russell; Vor.Dip.(Hamburg), Ph.D.(Calif.)
Georg Schmidt; B.Sc.(Natal), M.Sc.(S. Af.), Ph.D.(Stan.)
Vanamamalai Seshadri; B.Sc, M.Sc.(Madr.), Ph.D.(Okl.)
George P.H. Styan; M.A., Ph.D.(Col.)
Kwok Kuen Tam; M.A., Ph.D.(Tor.)
John C. Taylor; B.Sc.(Acad.), M.A.(Qu.), Ph.D.(McM.)
Jian-Jun Xu; B.Sc., M.Sc.(Beijing), M.Sc., Ph.D.(Rensselaer Poly.)
Sanjo Zlobec; M.Sc.(Zagreb), Ph.D.(N'western)
Professors
Masoud Asgharian; B.Sc.(Shahid Beheshti), M.Sc., Ph.D.(McG.)
Peter Bartello; B.Sc.(Tor.), M.Sc., Ph.D.(McG.) (joint appt. with Atmospheric and Oceanic Sciences)
Rustum Choksi; B.Sc.(Tor.), M.Sc., Ph.D.(Brown)
Henri Darmon; B.Sc.(McG.), Ph.D.(Harv.), F.R.S.C. (James ÎÛÎÛ²ÝÝ®ÊÓƵ Professor)
Stephen W. Drury; M.A., Ph.D.(Cant.)
Christian Genest; B.Sp.Sc.(UQAC), M.Sc.(UQAM), Ph.D.(Br. Col.) (Canada Research Chair)
Eyal Z. Goren; B.A., M.S., Ph.D.(Hebrew)
Pengfei Guan; B.Sc.(Zhejiang), M.Sc., Ph.D.(Princ.) (Canada Research Chair)
Jacques C. Hurtubise; B.Sc.(Montr.), D.Phil.(Oxf.) F.R.S.C.
Dmitry Jakobson; B.Sc.(MIT), Ph.D.(Princ.) (Peter Redpath Professor)
Vojkan Jaksic; B.S.(Belgrade), Ph.D.(Calif. Tech.)
Niky Kamran; B.Sc., M.Sc.(Bruxelles), Ph.D.(Wat.), F.R.S.C. (James ÎÛÎÛ²ÝÝ®ÊÓƵ Professor)
Adam Oberman; B.S.(Tor.), M.S., Ph.D.(Chic.)
Charles Roth; M.Sc.(McG.), Ph.D.(Hebrew)
David A. Stephens; B.Sc., Ph.D.(Nott.) (James ÎÛÎÛ²ÝÝ®ÊÓƵ Professor)
John A. Toth; B.Sc., M.Sc.(McM.), Ph.D.(MIT) (William Dawson Scholar)
Adrian Vetta; B.Sc., M.Sc.(LSE), Ph.D.(MIT) (joint appt. with Computer Science)
Daniel T. Wise; B.A.(Yeshiva), Ph.D.(Princ.) (James ÎÛÎÛ²ÝÝ®ÊÓƵ Professor)
David Wolfson; B.Sc., M.Sc.(Natal), Ph.D.(Purd.)
Associate Professors
Louigi Addario-Berry; B.Sc., M.Sc., Ph.D.(McG.)
Antony R. Humphries; B.A., M.A.(Camb.), Ph.D.(Bath)
Abbas Khalili; B.S., M.S.(Isfahan Univ. of Tech), Ph.D.(Wat.)
Jean-Philippe Lessard; B.Sc.(Sher.), M.Sc.(Montr.), Ph.D.(Georgia Tech.)
Jean-Christophe Nave; B.Sc., Ph.D.(Calif., Santa Barbara)
Johanna Neslehova; B.Sc., M.Sc.(Hamburg), Ph.D.(Oldenburg)
Sergey Norin; M.S.(Saint Petersburg St.), Ph.D.(Georgia Tech.)
Mikael Pichot; B.Sc.(Lyon), M.S., Ph.D.(ENS Lyon)
Russell Steele; B.S., M.S.(Carn. Mell), Ph.D.(Wash.)
Gantumur Tsogtgerel; B.Sc.(Nat. Univ. Mongolia), M.Sc., Ph.D.(Utrecht)
Assistant Professors
Linan Chen; B.S.(Tsinghua), Ph.D.(MIT)
Sarah Harrison; B.Sc.(MIT), Ph.D.(Stan.)
Tim Hoheisel; Dipl., Ph.D.(Wurzburg)
Jessica Lin; B.A.(NYU), Ph.D.(Chic.)
Piotr Przytycki; M.Sc., Ph.D.(Warsaw)
Maksym Radziwill; B.Sc.(McG.), Ph.D.(Stan.) (Canada Research Chair)
Marcin Sabok; M.Sc., Ph.D.(Warsaw)
Jérôme Vétois; Ph.D.(Cergy-Pontoise)
Yi Yang; B.S.(Sichuan), M.S., Ph.D.(Minn.)
Associate Members
Xiao-Wen Chang (Computer Science)
Luc P. Devroye (Computer Science)
Pierre R.L. Dutilleul (Plant Science)
Leon Glass (Physiology)
James A. Hanley (Epidemiology and Biostatistics)
Hamed Hatami (Computer Science)
Lawrence Joseph (Epidemiology and Biostatistics)
Anmar Khadra (Physiology)
Michael Mackey (Physiology)
Erica E.M. Moodie (Epidemiology and Biostatistics)
Prakash Panangaden (Computer Science)
Robert W. Platt (Epidemiology and Biostatistics)
James O. Ramsay (Psychology)
Alexandra Schmidt (Epidemiology and Biostatistics)
Kaleem Siddiqi (Computer Science)
Christina Wolfson (Epidemiology and Biostatistics)
Adjunct Professors
Renato C. Calleja; B.S.(Tec. Autonomo de Mexico), Ph.D.(Texas-Austin)
Vasek Chvatal; Ph.D.(Wat.)
Eliot Freid; B.S.(Calif. Poly. St.), M.S., Ph.D.(Calif. Tech.)
Andrew Granville; B.A., CASM(Camb.), Ph.D.(Qu.)
Adrian Iovita; B.S.(Bucharest), Ph.D.(Boston)
Payman L. Kassaei; B.Sc.(Sharif Tech.), Ph.D.(MIT)
Dimitris Koukoulopoulos; M.Sc., Ph.D.(Ill.-Chic.)
Etienne Marceau; B.Sc., M.Sc.(Laval); Ph.D.(Louvain)
Ming Mei; B.Sc., M.Sc.(Jiangxi Normal Uni.), Ph.D.(Kanazawa)
Claude-Alain Pillet; M.Sc., Ph.D.(ETH Zurich)
Iosif Polterovich; M.Sc.(Moscow St.), Ph.D.(Weizmann Inst.)
M. Ram Murty; B.Sc.(Car.), Ph.D.(MIT), F.R.S.C.
Robert A. Seely; B.Sc.(McG.), Ph.D.(Cant.)
F. Bruce Shepherd; B.Sc.(Vic., Tor.), M.Sc., Ph.D.(Wat.)
Armen Shirikyan; M.Sc., Ph.D.(Moscow St.); Habilitation(Paris-Sud XI)
Johannes Walcher; Dip., Ph.D.(ETH Zurich) (joint appt. with Physics)
Senior Faculty Lecturer
Axel Hundemer; M.Sc., Ph.D.(Munich)
Faculty Lecturers
José A. Correa; M.Sc.(Wat.), Ph.D.(Car.)
Armel Djivede Kelome; M.Sc.(Benin), M.Sc.(McG.), Ph.D.(Georgia Tech.)
Sidney Trudeau; Ph.D.(McG.)
Programs, Courses and University Regulations—2018-2019 (last updated Aug. 16, 2018) (disclaimer)

Bachelor of Science (B.Sc.) - Minor Mathematics (24 credits)

The Minor may be taken in conjunction with any primary program in the Faculty of Science (other than programs in Mathematics). Students should declare their intention to follow the Minor Mathematics at the beginning of the penultimate year and should obtain approval for the selection of courses to fulfil the requirements for the Minor from the Departmental Chief...

For more information, see Minor Mathematics (24 credits).

Bachelor of Science (B.Sc.) - Minor Statistics (24 credits)

The Minor may be taken in conjunction with any primary program in the Faculty of Science. Students should declare their intention to follow the Minor Statistics at the beginning of the penultimate year and must obtain approval for the selection of courses to fulfil the requirements for the Minor from the Departmental Chief Adviser (or delegate). ...

For more information, see Minor Statistics (24 credits).

Bachelor of Science (B.Sc.) - Liberal Program - Core Science Component Mathematics (45 credits)

Bachelor of Science (B.Sc.) - Liberal Program - Core Science Component Statistics (48 credits)

(45 or 48 credits) ...

For more information, see Liberal Program - Core Science Component Statistics (48 credits).

Bachelor of Science (B.Sc.) - Major Mathematics (54 credits)

For more information, see Major Mathematics (54 credits).

Bachelor of Science (B.Sc.) - Major Mathematics and Computer Science (72 credits)

Bachelor of Science (B.Sc.) - Major Statistics and Computer Science (72 credits)

This program provides students with a solid training in both computer science and statistics together with the necessary mathematical background. As statistical endeavours involve ever increasing amounts of data, some students may want training in both disciplines.

For more information, see Major Statistics and Computer Science (72 credits).

Bachelor of Science (B.Sc.) - Honours Applied Mathematics (60 credits)

Applied Mathematics is a very broad field and students are encouraged to choose a coherent program of complementary courses. Most students specialize in "continuous" or "discrete" applied mathematics, but there are many sensible combinations of courses, and the following informal guidelines should be discussed with the student's adviser. Also, aside from seeking to...

For more information, see Honours Applied Mathematics (63 credits).

Bachelor of Science (B.Sc.) - Honours Mathematics (60 credits)

Students may complete this program with a minimum of 60 credits or a maximum of 63 credits depending if they are exempt from MATH 222.

For more information, see Honours Mathematics (63 credits).

Bachelor of Science (B.Sc.) - Honours Probability and Statistics (65 credits)

Bachelor of Science (B.Sc.) - Honours Statistics and Computer Science (79 credits)

This is a challenging program providing students with a solid training in both computer science and statistics suitable for entry into graduate school in either discipline. Students may complete this program with a minimum of 76 credits or a maximum of 79 credits depending on whether or not they are exempt from taking COMP 202.

For more information, see Honours Statistics and Computer Science (79 credits).

Bachelor of Science (B.Sc.) - Honours Mathematics and Computer Science (75 credits)

Students may complete this program with a minimum of 72 credits or a maximum of 78 credits depending if they are exempt from COMP 202 and/or MATH 222.

For more information, see Honours Mathematics and Computer Science (78 credits).

Mathematics and Statistics (MATH) Related Programs

Mathematics and Statistics (MATH) Related Programs

Major in Biology and Mathematics

Joint Major in Biology and Mathematics

Major in Physiology and Mathematics

Joint Major in Physiology and Mathematics

Honours Program in Mathematics and Physics

Joint Honours Program in Mathematics and Physics

Programs, Courses and University Regulations—2018-2019 (last updated Aug. 16, 2018) (disclaimer)
Faculty of Science—2018-2019 (last updated Aug. 16, 2018) (disclaimer)
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