C6 Major Requirement (30 credit units)

The program does not require the specification of a concentration area. However, some students will find it to be a useful option to build their program around specific courses with applications in particular areas. For example, students with an interest in the physical sciences (chemistry, geology and geophysics, physics, engineering) might choose to emphasize ‘continuous’ mathematical tools such as differential equations, whereas students with interests in the life sciences (biology, biochemistry, biomedicine, biostatistics, epidemiology) and the social sciences (economics, psychology, sociology) might direct their study towards ‘discrete’ mathematical methods such as linear programming, graph theory, combinatorics or towards statistical methods.

Ideally, by the time of graduation, every student will have been exposed to aspects of continuous, discrete, and probabilistic and statistical methods.

  • MATH 211.3
  • MATH 238.3
  • MATH 336.3
  • STAT 241.3

Choose 3 credit units from the following:

It is recommended that this course be taken in the first year, if possible.
  • MATH 264.3
  • MATH 266.3

Choose 6 credit units from the following:

It is recommended that these courses be taken in the second year, if possible.
  • MATH 223.3 and MATH 224.3
  • MATH 225.3 and MATH 226.3
  • MATH 276.3 and MATH 277.3

Choose 9 credit units from the following:

  • MATH 313.3
  • MATH 314.3
  • MATH 327.3
  • MATH 328.3
  • MATH 331.3
  • MATH 339.3
  • STAT 242.3

See suggested sequence of courses below to see sample concentrations. NOTE: Students may choose to follow a sample program to focus in a specific area, but are not required to do so.

Sample program #1 - Continuous Modelling and Differential Equations
Sample program #2 - Discrete and Statistical Modelling