Concentration with Honours BSc and BA Mathematics and Financial Mathematics

Elective MA and ST credits at the 300 and 400 levels can be applied to a concentration. A maximum of two Mathematics concentrations are permitted as part of the Honours BSc and BA Mathematics and Financial Mathematics degrees.

A concentration requires completion of a minimum of 2.5 credits (including 1.0 credits of required courses, and 1.5 credits of eligible electives). If a student chooses to follow one or two concentrations in the program, this will be listed on the student's transcript.

The following concentrations are permitted for all Honours BSc and BA Mathematics and Financial Mathematics degrees:

Analysis and Geometry

Required Courses (1.0 credit):
MA304 - Introduction to Complex Analysis 
MA350 - Real Analysis

Elective Courses (1.5 credits):
MA306 - Partial Differential Equations I (Partial Differential Eqns I)
MA318 - Geometry
MA355 - Continuous and Discrete Transforms
MA406 - Partial Differential Equations II (Partial Differential Eqns II)
MA418 - Differential Geometry
MA422 - Advanced Linear Algebra
MA450 - Measure and Integration
MA465 - General Topology

 
Computational Finance

Required Courses (1.0 credit):
MA471 - Computational Methods in Finance
ST474 - Monte Carlo Methods

Elective Courses (1.5 credits):
MA306 - Partial Differential Equations I (Partial Differential Eqns I)
MA350 - Real Analysis
MA355 - Continuous and Discrete Transforms
ST362 - Regression Analysis
MA372 - Optimization
MA406 - Partial Differential Equations II (Partial Differential Eqns II)

 
Discrete Mathematics and Algebra

Required Courses (1.0 credit):
MA338 - Graph Theory
MA323 - Introduction to Groups and Rings

Elective Courses (1.5 credits):
MA317 - Number Theory
MA318 - Geometry
MA372 - Optimization
MA422 - Advanced Linear Algebra
MA425 - Group Theory
MA475 - Ring and Field Theory

 
Financial Risk Management

Required Courses (1.0 credit):
ST362 - Regression Analysis
MA477 - Quantitative Financial Risk Management

Elective Courses (1.5 credits):
MA372 - Optimization
ST473 - Financial Data Analysis
ST474 - Monte Carlo Methods
ST490 - Stochastic Processes
ST492 - Time Series Analysis

 
Mathematical Modelling

Required Courses (1.0 credit):
MA305 - Differential Equations II
MA487 - Mathematical Modelling in the Applied Sciences and Finance

Elective Courses (1.5 credits):
MA306 - Partial Differential Equations I (Partial Differential Eqns I)
MA307 - Numerical Analysis
or MA371 - Computational Methods for Data Analysis
MA355 - Continuous and Discrete Transforms
MA360 - Topics in Applied Mathematics
MA361 - Methods in Applied Mathematics
MA372 - Optimization
MA405 - Dynamical Systems
MA406 - Partial Differential Equations II (Partial Differential Eqns II)
MA464 - Mathematical Biology

 
Statistics and Data Analytics

Required Courses (1.0 credit):
ST361 - Mathematical Statistics
ST362 - Regression Analysis

Elective Courses (1.5 credits):
ST344 - Introduction to Experimental Design and Survey Sampling
ST358 - Applied Probability
ST359 - Probability II
ST462 - Advanced Regression Analysis
ST463 - Computational Statistics
ST474 - Monte Carlo Methods
ST491 - Survival Analysis
ST492 - Time Series Analysis
ST494 - Statistical Learning