Minor Statistics (B. Sc.)

Bachelor of Science (B.Sc.) - Minor Statistics(27 Credits)

    Offered by:Mathematics and Statistics
    Degree:Bachelor of Science

Program Requirement:

(24-27 credits)

Students may complete this program with a minimum of 24 credits or a maximum of 27 credits.

The Minor may be taken in conjunction with any primary program in the Faculty of Science (other than those with a main component in Statistics). Students should declare their intention to follow the Minor Statistics at the beginning of the penultimate year and must obtain approval for the selection of courses to fulfil the requirements for the Minor from the Departmental Chief Adviser (or delegate).

All courses counted towards the Minor must be passed with a grade of C or better. Generally, no more than 6 credits of overlap are permitted between the Minor and the primary program. However, with an approved choice of substantial courses, the overlap restriction may be relaxed to 9 credits for students whose primary program requires 60 credits or more, and to 12 credits when the primary program requires 72 credits or more.

Required Courses (15 credits)


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

  • MATH 223 Linear Algebra 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 (9-12 credits)

9-12 credits selected from:


  • CHEM 593 Statistical Mechanics 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • COMP 451 Fundls of Machine Learning 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

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

  • GEOG 351 Quantitative Methods 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

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

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

  • MATH 308 Fundls of Statistical Learning 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 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 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 562 Theory of Machine Learning 4 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • PHYS 362 Statistical Mechanics 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • PHYS 559 Advanced Statistical Mechanics 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer

  • SOCI 504 Quantitative Methods 1 3 Credits
      Offered in the:
    • Fall
    • Winter
    • Summer


No more than 6 credits from the above list of complementary courses may be taken outside the Department of Mathematics and Statistics.



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