Liberal Program - Core Science Component Statistics (B. Sc.)

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

    Offered by:Mathematics and Statistics
    Degree:Bachelor of Science

Program Requirement:

(45 or 48 credits)

This program provides training in statistics, with a solid mathematical core, and basic training in computing. With strong performance in an appropriate selection of courses, this program can lead to "A.Stat." professional accreditation from the Statistical Society of Canada, which is regarded as the entry level requirement for Statisticians practising in Canada.

Students may complete this program with a minimum of 45 credits or a maximum of 48 credits.

Program Prerequisites

Students entering the Core Science Component in Statistics are normally expected to have completed the courses below or their equivalents. Otherwise they will be required to make up any deficiencies in these courses over and above the 45 credits required for the program.


  • MATH 133 Linear Algebra and Geometry 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 140 Calculus 1 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 141 Calculus 2 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer


Required Courses (27 credits)

* Students who have successfully completed a course equivalent to MATH 222 with a grade of C or better may omit MATH 222, but must replace it with 3 credits of complementary courses.

** Students who have sufficient knowledge in a programming language do not need to take COMP 202, but must replace it by either COMP 250 or COMP 350.

***MATH 236 is an equivalent prerequisiste to MATH 223 for required and complementary Computer Science courses listed below.

+ Students have to take MATH 204 prior to MATH 324.


  • COMP 202 Foundations of Programming 3 Credits**
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 204 Principles of Statistics 2 3 Credits+
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 222 Calculus 3 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 235 Algebra 1 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 236 Algebra 2 3 Credits***
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 242 Analysis 1 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 323 Probability 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 324 Statistics 3 Credits+
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 423 Applied Regression 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer


Complementary Courses (18 or 21 credits)

0-3 credits from:


  • MATH 203 Principles of Statistics 1 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

A student who has not completed the equivalent of MATH 203 on entering the program must consult and academic adviser and take MATH 203 in the first semester, increasing the total number of program credits from 45 to 48.


At least 6 credits selected from:

* If chosen, students can take either MATH 317 or COMP 350, but not both.


  • COMP 250 Intro to Computer Science 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • COMP 350 Numerical Computing 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 209 FundlsofStatclModlng&Infrnce 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 243 Analysis 2 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 314 Advanced Calculus 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 315 Ordinary Differential Eqns 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 316 Complex Variables 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 317 Numerical Analysis 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 326 Nonlinear Dynamics and Chaos 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 327 Matrix Numerical Analysis 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 329 Theory of Interest 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 340 Discrete Mathematics 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 350 Honours Discrete Mathematics 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 378 Nonlinear Optimization 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 417 Linear Optimization 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 430 Mathematical Finance 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 463 Convex Optimization 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer


At least 9 credits selected from:

*If chosen, students can take at most one of MATH 410, MATH 420, MATH 527D1/D2, and WCOM 314.


  • COMP 551 Applied Machine Learning 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 208 Intro to Statistical Computing 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 308 Fundls of Statistical Learning 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 410 Majors Project 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 420 Independent Study 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 427 Statistical Quality Control 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 447 Intro. to Stochastic Processes 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 462 Hon. Math for Machine Learning 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 510 Quantitative Risk Management 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 523 Generalized Linear Models 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 524 Nonparametric Statistics 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 525 Sampling Theory & Applications 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 527D1 Stat. Data Science Practicum 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 527D2 Stat. Data Science Practicum 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 545 Intro to Time Series Analysis 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 556 Mathematical Statistics 1 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 557 Mathematical Statistics 2 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 558 Design of Experiments 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 559 Bayesian Theory and Methods 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • MATH 598 Topics in Probability & Stats 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • WCOM 314 Communicating Science 3 Credits*
      Offered in the:
    • Fall
    • Winter
    • Summer


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