Program Overview

Program Overview

The Mathematics program at Toronto Metropolitan University offers both Master of Science (MSc) and PhD degrees. This program is designed for motivated students seeking to acquire mathematical skills to advance their academic or industry career goals.

Degree Earned

The program offers two degree options:

• Master of Science (MSc)
• PhD

Program Format

The program is offered in a full-time format.

Research Areas

The program is grounded in three main research groups:

• Financial mathematics
• Biomathematics and fluids
• Discrete mathematics and networks Additional research areas include:
• Biostatistics
• Complex Networks
• Computer Security
• Cryptography
• Data Mining
• Differential Equations and Operator Theory
• Financial Mathematics
• Fluid Mechanics
• Foundations of Statistical Mechanics
• Graph Theory
• Machine Learning
• Software Testing

Admission Requirements

MSc Admission Requirements

• Completion of a four-year undergraduate (or equivalent) degree of science in mathematics or related fields involving adequate mathematical course work from an accredited institution
• Minimum GPA or equivalent of 3.00/4.33 (B) in the last 2 years of study (3.33/4.33 GPA (B+) strongly recommended)
• Statement of interest
• Resumé/CV
• Transcripts
• Two letters of recommendation
• English language proficiency requirement

PhD Admission Requirements

• Completion of a master's degree from an accredited institution in mathematics or related field
• Minimum grade point average (GPA) or equivalent of 3.33/4.33 (B+)
• Statement of interest
• Resumé/CV
• Transcripts
• Three letters of recommendation
• English language proficiency requirement

Program-Specific Requirements

Due to the competitive nature of the programs, it is not possible to offer admission to everyone who applies that meets the minimum entrance requirements for the program.

Application Deadline

Students are encouraged to submit applications prior to the first consideration date to increase their chances of securing financial support for their graduate studies. Applications received after the first consideration date will be accepted and reviewed based on spaces remaining in the program.

Financing Your Studies

For detailed graduate tuition and fees information, please refer to the university's tuition and fees schedule. For information on scholarships, awards, and financing your graduate studies, please refer to the university's financing your studies resources.

Sample Courses

• Advanced Numerical Analysis
• Analysis and Probability
• Applied Statistical Methods
• Discrete Mathematics and its Applications
• Partial Differential Equations
• Principles and Techniques in Applied Mathematics

Graduate Academic Calendar

The graduate academic calendar provides curriculum, course descriptions, and important dates for the Mathematics (MSc, PhD) program.