Mathematics

Mathematics: Introduction

Faculty Affiliation

Arts and Science

Degree Programs

Mathematics

MSc and PhD

Overview

The Department of Mathematics is a distinguished Faculty of more than 60 mathematicians, offering research opportunities in the areas of pure mathematics and applied mathematics. Faculty areas of research include, but are not limited to, real and complex analysis, ordinary and partial differential equations, harmonic analysis, nonlinear analysis, several complex variables, functional analysis, operator theory, C*-algebras, ergodic theory, group theory, analytic and algebraic number theory, Lie groups and Lie algebras, automorphic forms, commutative algebra, algebraic geometry, singularity theory, differential geometry, symplectic geometry, classical synthetic geometry, algebraic topology, set theory, set-theoretic topology, mathematical physics, fluid mechanics, probability, combinatorics, optimization, control theory, dynamical systems, computer algebra, cryptography, and mathematical finance.

Contact and Address

Web: www.mathematics.utoronto.ca
Email: gradinfo@math.toronto.edu
Telephone: (416) 978-7894
Fax: (416) 978-4107

Department of Mathematics
University of Toronto
Room 6290, 40 St. George Street
Toronto, Ontario M5S 2E4
Canada

Mathematics: Graduate Faculty

Full Members

Alexakis, Spyridon - BA, PhD
Aretakis, Stefanos - MA, PhD
Arthur, James - BSc, MSc, PhD
Bar-Natan, Dror - BSc, PhD
Bierstone, Edward - BSc, MA, PhD
Binder, Ilia - PhD
Bland, John - BSc, MSc, PhD
Braverman, Alexander - BSc, PhD
Bremer Jr, James - BSc, BSc, PhD
Burchard, Almut - MS, PhD
Collins, Tristan - PhD
De Simoi, Jacopo - PhD
Desjardins, Julie - BA, MA, PhD
Elliott, George - BSc, MSc, PhD
Friedlander, John - BSc, BS, MA, PhD
Graham, Ian - BSc, ScD
Gualtieri, Marco - BSc, DPhil
Haslhofer, Robert - BSc, MSc, PhD
Herzig, Florian - BA, PhD
Ingram, Patrick - PhD
Ivrii, Victor - MA, PhD, DSc
Jeffrey, Lisa - BA, MA, PhD
Jerrard, Robert - AB, PhD (Chair and Graduate Chair)
Kamnitzer, Joel - BMath, PhD
Kapovitch, Vitali - BS, PhD
Karshon, Yael - PhD
Khanin, Konstantin - PhD
Khesin, Boris - MS, PhD
Khovanski, Askold - MS, DSc, PhD
Kim, Henry - BSc, PhD
Kopparty, Swastik - BS, MS, PhD
Kudla, Stephen - BA, MA, PhD
Litt, Daniel - PhD
Marcolli, Matilde - MS, PhD
McCann, Robert - BS, PhD
Meinrenken, Eckhard - PhD
Milman, Pierre - MA, PhD
Murphy, Emmy - BS, PhD
Murty, Vijayakumar - BSc, PhD
Nabutovsky, Alexander - MSc, PhD
Nachman, Adrian - BSc, MA, PhD
Panchenko, Dmitriy - MSc, PhD
Pugh, Mary - BA, MS, PhD
Quastel, Jeremy - BSc, MS, PhD
Rafi, Kasra - BSc, PhD
Repka, Joe - BSc, PhD
Rosenthal, Jeffrey - BSc, AM, PhD, FRSC
Rotman, Regina - BA, PhD
Rozenblyum, Nick - PhD
Saraf, Shubhangi - BS, MS, PhD
Scherk, John - BSc, MSc, DPhil
Seco, Luis - PhD
Serkh, Kirill - BS, MS, PhD
Shankar, Arul - BSc, PhD
Sigal, Israel Michael - BA, PhD
Stinchcombe, Adam - BMath, PhD
Sulem, Catherine - MMath, PhD
Tanny, Stephen - BSc, PhD
Tiozzo, Giulio - BA, MA, PhD
Todorcevic, Stevo - PhD
Tsimerman, Jacov - BSc, PhD
Uriarte-Tuero, Ignacio - BS, MSc, PhD (Associate Chair - Graduate)
Virag, Balint - BA, MA, PhD
Weiss, William - BSc, MSc, PhD
Yampolsky, Michael - DPhil
Yu, Yun William - BA, MPH, MRes, PhD
Zhang, Ke - BS, PhD

Members Emeriti

Akcoglu, Mustafa - MSc, PhD
Andrews, David - BSc, MSc, PhD
Ellers, Erich - DrRerNat, DrRerNat
Halperin, J. Stephen - BSc, MSc, PhD, FRSC
Jurdjevic, Velimir - BS, MS, PhD
Kupka, Ivan - BSc, PhD, PhD
McCool, James - BSc, PhD
Murasugi, Kunio - BSc, DSc
Murnaghan, Fiona - BSc, MSc, PhD
Selick, Paul - BSc, MSc, PhD
Sen, Dipak - MSc, DSc
Sharpe, Richard - BSc, MA, PhD
Smith, Stuart - BSc, PhD
Tall, Franklin - AB, PhD

Associate Members

Dauvergne, Duncan - BSc, MSc, PhD
Landon, Benjamin Christopher - BSc, MSc, PhD
Liokumovich, Yevgeny - BSc, MSc, PhD
Olano Espinosa, Sebastian - PhD
Pan, Wenyu - PhD
Shlapentokh-Rothman, Yakov - BS, PhD
Spink, Hunter - PhD
Varma, Ila - BS, MSc, PhD

Mathematics: Mathematics MSc

The MSc is a research-oriented program. Opportunities for graduate study and research are available in most of the main areas of pure and applied mathematics. There is a large selection of graduate courses and seminars, a diverse student body of domestic and international students, and yet classes are small and the ratio of graduate students to faculty is low.

Many recent graduates are engaged in university teaching, and a significant number hold administrative positions in universities or in the professional communities. Others are pursuing careers in industry (technological or financial) or in government.

The MSc program is offered:

  • for students with a complete undergraduate background in mathematics:

    • 12 months full-time

    • 24 months part-time

  • for students who do not have a complete undergraduate background in mathematics. This option is not available on a part-time basis:

    • 16 months full-time

    • 24 months full-time

Provisional admission to the PhD program may be granted at the time of admission to the master's program.

MSc Program (12-Month Full-Time and 24-Month Part-Time)

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Mathematics' additional admission requirements stated below.

  • Evidence of an excellent academic background and mathematical ability.

Completion Requirements

  • Students must complete the program in one of two ways:

    • 3.0 approved full-course equivalents (FCEs) and a supervised research project (MAT4000Y), or its equivalent, or

    • 2.0 approved FCEs and an acceptable thesis. Two approved half-year courses are considered the equivalent of a full-year course.

  • With approval, two prerequisite undergraduate half courses can be substituted for 0.5 graduate FCE.

  • Students may, with approval, take courses outside the department as part of a coherent program.

  • Students who undertake the MSc part-time must, at a minimum, satisfy the requirements of the 12-month program.

  • Students who plan to continue to the PhD program may select 2.0 FCEs in core courses from the approved list in the PhD program requirements section. Students who obtain a grade of A– or higher in each of the corresponding core courses may count coursework towards the PhD comprehensive examination requirement in the particular subject areas.

Mode of Delivery: In person
Program Length: 3 sessions full-time (typical registration sequence: FWS); 6 sessions part-time
Time Limit: 3 years full-time; 6 years part-time

 

MSc Program (16-Month Full-Time)

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Mathematics' additional admission requirements stated below.

  • Evidence of an excellent academic background and mathematical ability.

  • Students who do not have a complete undergraduate background in mathematics may be accepted into the 16-month program. This possibility may interest students who have some background in a subject in which mathematics is applied and/or who are interested in industrial applications of mathematics.

Completion Requirements

  • Students must complete the program full-time in one of two ways:

    • 3.0 approved full-course equivalents (FCEs) and a supervised research project (MAT4000Y), or its equivalent, or

    • 2.0 approved FCEs and an acceptable thesis. Two approved half-year courses are considered the equivalent of a full-year course.

  • Students must also complete an approved selection of prerequisites and other courses: an additional 2.0 FCEs in Year 2, 3, or 4 undergraduate courses in any of the following subjects: algebra, analysis, partial differential equations, probability, and topology.

  • With approval, two prerequisite undergraduate half courses can be substituted for 0.5 graduate FCE.

  • Students may, with approval, take courses outside the department as part of a coherent program.

  • Students who plan to continue to the PhD program may select 2.0 FCEs in core courses from the approved list in the PhD program requirements section. Students who obtain a grade of A– or higher in each of the corresponding core courses may count coursework towards the PhD comprehensive examination requirement in the particular subject areas.

  •  
Mode of Delivery: In person
Program Length: 4 sessions full-time (typical registration sequence: FWS-F)
Time Limit: 3 years full-time

 

MSc Program (24-Month Full-Time)

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Mathematics' additional admission requirements stated below.

  • Evidence of an excellent academic background and mathematical ability.

  • Students who do not have a complete undergraduate background in mathematics may be accepted into the 24-month program. This possibility may interest students who have some background in a subject in which mathematics is applied and/or who are interested in industrial applications of mathematics.

Completion Requirements

  • Students must complete the program full-time as follows:

    • 3.0 approved full-course equivalents (FCEs) and a supervised research project (MAT4000Y), or its equivalent, or

    • 2.0 approved FCEs and an acceptable thesis. Two approved half-year courses are considered the equivalent of a full-year course.

  • Students must also complete an approved selection of prerequisites and other courses: an additional 3.0 FCEs in Year 2, 3, or 4 undergraduate courses in any of the following subjects: algebra, analysis, partial differential equations, probability, and topology.

  • With approval, two prerequisite undergraduate half courses can be substituted for 0.5 graduate FCE.

  • Students may, with approval, take courses outside the department as part of a coherent program.

  • Students who plan to continue to the PhD program may select 2.0 FCEs in core courses from the approved list in the PhD program requirements section. Students who obtain a grade of A– or higher in each of the corresponding core courses may count coursework towards the PhD comprehensive examination requirement in the particular subject areas.

Mode of Delivery: In person
Program Length: 6 sessions full-time (typical registration sequence: FWS-FWS)
Time Limit: 3 years full-time

 

Mathematics: Mathematics PhD

The PhD is a research-oriented program consisting of coursework, comprehensive examinations, and a thesis embodying the results of original research. Opportunities for graduate study and research are available in most of the main areas of pure and applied mathematics.

Applicants may enter the PhD program via one of two routes: 1) following completion of an appropriate MA or 2) direct entry following completion of a bachelor's degree.

PhD Program

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Mathematics' additional admission requirements stated below.

  • A master's degree from a recognized university. Students must satisfy the department of their ability to do independent research at an advanced level. They must show evidence of an excellent academic background and mathematical ability.

Completion Requirements

  • Coursework. Students must successfully complete at least 3.0 full-course equivalents (FCEs). Out of the following 12 core courses, students must complete 6 courses:

  • Comprehensive examination.

    • Students must pass a comprehensive examination in basic mathematics before beginning an area of research. This examination is scheduled at the start of the Fall session (usually September) and should be taken no later than the start of the third session.

    • Students have the option to write the final exam of any core course to obtain core credit. This requires approval of the Graduate Office.
    • Students who obtain a grade of A– or higher in each of the corresponding core courses for the general areas of mathematics will be exempted from the comprehensive examination requirement in the specific area of study.

  • Students must pass a qualifying oral examination or give a seminar presentation in their particular area of study before embarking on serious thesis research.

  • The main requirement of the degree is an acceptable thesis embodying original research of a standard that warrants publication in the research literature.

Mode of Delivery: In person
Program Length: 4 years full-time (typical registration sequence: Continuous)
Time Limit: 6 years full-time

 

PhD Program (Direct-Entry)

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Mathematics' additional admission requirements stated below.

  • Exceptionally strong BSc students with a grade point average (GPA) of 3.7 or higher may apply for direct admission to the PhD program. Students must satisfy the department of their ability to do independent research at an advanced level. They must show evidence of an excellent academic background and mathematical ability.

Completion Requirements

  • Coursework. Students must complete at least 4.0 full-course equivalents (FCEs).
    • Out of the following 12 core courses, students must complete 6 courses (3.0 FCEs):

    • Students must also complete 1.0 elective FCE.

  • Students must complete MAT4000Y Supervised Research Project or its equivalent.

  • Comprehensive examination.

    • Students must pass a comprehensive examination in basic mathematics before beginning an area of research. This examination is scheduled at the start of the Fall session (usually September) and should be taken no later than the start of the third session.

    • Students have the option to write the final exam of any core course to obtain core credit. This requires approval of the Graduate Office.

    • Students who obtain a grade of A– or higher in each of the corresponding core courses for the general areas of mathematics will be exempted from the comprehensive examination requirement in the specific area of study.

  • Students must pass a qualifying oral examination or give a seminar presentation in their particular area of study before embarking on serious thesis research.

  • The main requirement of the degree is an acceptable thesis embodying original research of a standard that warrants publication in the research literature.

Mode of Delivery: In person
Program Length: 5 years full-time (typical registration sequence: Continuous)
Time Limit: 7 years full-time

 

Mathematics: Mathematics MSc, PhD Courses

Each year the department offers a selection of courses chosen from the following list, with the possibility of further additions. The courses MAT1000H, 1001H, 1100H, 1101H, 1300H, 1301H, 1600H, and 1601H will be offered each year; the complete list of courses is available from the department. In addition, it may be possible for a student to arrange to take one of the listed courses as an individual reading course. Students should consult the office of the coordinator at the beginning of the academic year.

PhD students are expected to attend and contribute to seminars in the research areas.

Course CodeCourse Title
Real Analysis I
Real Analysis II
Complex Analysis
Theory of Approximation
Fourier Analysis
Topics in Real Analysis
Topics in Complex Variables
Functions of a Complex Variable
Functional Analysis
Introduction to Linear Operators
Real Analysis II
Theory of Several Complex Variables II
Topics in Operator Theory
Topics in Operator Algebras
Introduction to K-theory for Operator Algebras
Topics in Harmonic Analysis
Von Neumann Algebras
Topics in Ergodic Theory
Introduction to Ordinary Differential Equations
Partial Differential Equations I
Partial Differential Equations II
Topics in Partial Differential Equations I
MAT1064HElliptic Boundary Value Problems on Nonsmooth Domains
Algebra I
Algebra II
Topics in Algebra I
Topics in Algebra II
Topics in Representation Theory
Classical Groups
Algebraic Groups
Lie Groups and Lie Algebras I
Lie Groups and Fluid Dynamics
Topics in Probability
Commutative Algebra
Algebraic Geometry
Topics in Algebraic Geometry
Advanced Topics in Algebraic Geometry
MAT1194HAlgebraic Curves
Representation Theory
Automorphic Forms and Representation Theory I
Automorphic Forms and Representation Theory II
Automorphic Forms
Algebraic Number Theory
Analytic Number Theory
Computational Aspects of Number Theory
Topics in Number Theory
Differential Topology
Algebraic Topology
Combinatorial Methods
Combinatorial Designs
Topics in Combinatorics
Topics in Geometric Topology
MAT1306HThe Discrete Mathematics Toolkit
Geometrical Inequalities
Topics in Geometry
Seminar in Geometry
Introduction to Noncommutative Geometry
Seminar in Geometry and Topology
Differential Topology
Topics in Differential Geometry
Introduction to Differential Geometry
Riemannian Manifolds
Symplectic Geometry
Homotopy Theory
Topics in Symplectic Geometry and Topology
Topics in Homotopy Theory
Singularity Theory
Moduli Spaces of Flat Connections
Complex Manifolds
Algebra Seminar
Advanced Point Set Topology
Model Theory
Introduction to Model Theory and Set Theory
Set Theory
Topics in Set Theory
Seminar in Foundations
MAT1497HProfessional Development
MAT1498HCommunicating Mathematics to a General Audience
Teaching Large Mathematics Courses

Applied Mathematics

Course CodeCourse Title
MAT1500HTopics in Graph Theory
Applied Analysis
Topics in Geometric Analysis
Asymptotic and Perturbation Methods
Techniques of Applied Mathematics
MAT1509HMathematical and Computational Linguistics
Wave Propagation
MAT1525HTopics in Inverse Problems and Image Analysis
Inverse Problems of X-Ray and Radar Imaging
Mathematical Probability I
Mathematical Probability II
Topics in Fluid Mechanics
General Relativity
Group Theory and Quantum Mechanics
C* Algebras and Quantum Mechanics
Foundations of Quantum Mechanics
Functional Analysis in Quantum Mechanics
Scattering Theory
Topics in Mathematical Physics
Computational Mathematics
MAT1751HQuantum Computing, Foundations to Frontier
Computer Algebra
Algorithms in Algebraic Geometry
MAT1800HMethods of Applied Mathematics I
MAT1801HMethods of Applied Mathematics II
MAT1839HIntegral Equation Methods for the Numerical Solution of PDEs
Control Theory
Mathematics of Massive Data Analysis: Fundamentals and Applications
MAT1844HNonlinear Dynamical Systems
Dynamical Systems
Holomorphic Dynamics
MAT1850HLinear Algebra and Optimization
Mathematical Problems in Economics
Mathematical Finance
Case Studies in Applied Mathematics

Individual Reading Courses

Course CodeCourse Title
Readings in Pure Mathematics
Readings in Pure Mathematics
Readings in Pure Mathematics
MAT1950YReadings in Applied Mathematics
Readings in Applied Mathematics

Seminars

Course CodeCourse Title
Seminar in Pure Mathematics
Seminar in Applied Mathematics

Research Project

Course CodeCourse Title
Supervised Research Project