Statistics Honours (B.A.)
63 credits · Faculty of Arts · 2026-2027 catalogue
Statistics Honours (B.A.) as a checklist, with when each course runs in 2026–27. On a computer, check off the courses you have taken or plan to take to add up your credits.
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Degree Requirements — B.A. students
Students may complete this program with a minimum of 60 credits or a maximum of 63 credits depending on whether or not they are required to take MATH 222 Calculus 3. .
To be eligible for a B.A. degree, a student must fulfil all Faculty and program requirements as indicated in Degree Requirements for the Faculty of Arts . We recommend that students consult an Arts OASIS advisor for degree planning. Students may complete this program with a minimum of 60 credits or a maximum of 63 credits depending on whether or not they are required to take MATH 222 Calculus 3. .
Program Prerequisites
The minimum requirement for entry into the Honours program is that the student has completed with high Standing the following courses or their equivalents:
Required Courses (25-28 credits)
Students who have not completed an equivalent of MATH 222 Calculus 3. on entering the program must consult an academic adviser and take MATH 222 Calculus 3. as a required course in the first semester, increasing the total number of program credits from 60 to 63. Students who have successfully completed MATH 150 Calculus A. / MATH 151 Calculus B. are not required to take MATH 222 Calculus 3. . Note: Students with limited knowledge of computer programming should take COMP 202 Foundations of Programming. / COMP 204 Computer Programming for Life Sciences. / COMP 208 Computer Programming for Physical Sciences and Engineering . or equivalent before COMP 250 Introduction to Computer Science. . U0 students may take COMP 202 Foundations of Programming. as a Foundation Science course; new U1 students should take one of these courses as an elective in their first semester. Note: Students who wish to take MATH 204 Principles of Statistics 2. as a complementary course are strongly advised to take MATH 203 Principles of Statistics 1. beforehand, in their first semester or their first year. Students who transfer to Honours in Mathematics from other programs will have credits for previous courses assigned, as appropriate, by the Department. To be awarded the Honours degree, the student must have, at time of graduation, a CGPA of at least 3.00 in the required and complementary Mathematics courses of the program, as well as an overall CGPA of at least 3.00.
- COMP 250 Introduction to Computer Science (3 credits) · Offered: Fall, Winter
- MATH 208 Introduction to Statistical Computing (3 credits) · Offered: Fall
- MATH 222 Calculus 3 (3 credits) · Offered: Summer, Fall, Winter
- MATH 247 Honours Applied Linear Algebra (3 credits) · Offered: Winter
- MATH 251 Honours Algebra 2 (3 credits) · Offered: Winter
- MATH 255 Honours Analysis 2 (3 credits) · Offered: Winter
- MATH 356 Honours Probability (3 credits) · Offered: Fall
- MATH 357 Honours Statistics (3 credits) · Offered: Winter
- MATH 470 Honours Research Project (3 credits) · Offered: Summer, Fall
- MATH 533 Regression and Analysis of Variance (4 credits) · Offered: Fall
Complementary Courses (35 credits)
Students wishing to pursue mathematical statistics in graduate school are advised to take MATH 587 Advanced Probability Theory 1. and recommended to take honours mathematics courses as complementary courses in Part II, in particular MATH 358 Honours Advanced Calculus. , MATH 454 Honours Analysis 3. (preferably prior to MATH 587 Advanced Probability Theory 1. ), and MATH 455 Honours Analysis 4. .
Part I
Part II (6–11 credits)
6-11 credits in mathematics and computer science selected from:
- COMP 206 Introduction to Software Systems (3 credits) · Offered: Fall, Winter
- COMP 252 Honours Algorithms and Data Structures (3 credits) · Offered: Winter
- MATH 248 Honours Vector Calculus (3 credits) · Offered: Fall
- MATH 325 Honours Ordinary Differential Equations (3 credits) · Offered: Winter
- MATH 350 Honours Discrete Mathematics (3 credits) · Offered: Fall
- MATH 352 Problem Seminar (1 credits) · Not scheduled for 2026–2027
- MATH 358 Honours Advanced Calculus (3 credits) · Offered: Winter
- MATH 376 Honours Nonlinear Dynamics (3 credits) · Offered: Fall
- MATH 387 Honours Numerical Analysis (3 credits) · Offered: Winter
- MATH 397 Honours Matrix Numerical Analysis (3 credits) · Not scheduled for 2026–2027
- MATH 398 Honours Euclidean Geometry (3 credits) · Offered: Fall
- MATH 454 Honours Analysis 3 (3 credits) · Offered: Fall
- MATH 455 Honours Analysis 4 (3 credits) · Offered: Winter
- MATH 458 Honours Differential Geometry (3 credits) · Not scheduled for 2026–2027
- MATH 466 Honours Complex Analysis (3 credits) · Not scheduled for 2026–2027
- MATH 475 Honours Partial Differential Equations (3 credits) · Offered: Fall
- MATH 478 Computational Methods in Applied Mathematics (3 credits) · Offered: Winter
- MATH 480 Honours Independent Study (3 credits) · Offered: Summer, Fall
- MATH 527D1 Statistical Data Science Practicum (3 credits) · Offered: Fall
- MATH 527D2 Statistical Data Science Practicum (3 credits) · Offered: Winter
Part III (18–23 credits)
18-23 credits in probability and statistics selected as follows:
Students with interest in probability are advised to choose from the following as part of their Complementary Courses: (0–12 credits)
Students with interest in probability are advised to choose from the following as part of their Complementary Courses:
Students with interest in actuarial science are advised to choose from the following as part of their Complementary Courses: (0–18 credits)
Students with interest in actuarial science are advised to choose from the following as part of their Complementary Courses:
- MATH 329 Theory of Interest (3 credits) · Not scheduled for 2026–2027
- MATH 430 Mathematical Finance (3 credits) · Offered: Winter
- MATH 524 Nonparametric Statistics (4 credits) · Not scheduled for 2026–2027
- MATH 545 Introduction to Time Series Analysis (4 credits) · Offered: Winter
- MATH 547 Stochastic Processes (4 credits) · Offered: Winter
Students with interest in data science and machine learning are advised to choose from the following as part of their Complementary Courses:
Students with interest in data science and machine learning are advised to choose from the following as part of their Complementary Courses:
- COMP 206 Introduction to Software Systems (3 credits) · Offered: Fall, Winter
- COMP 251 Algorithms and Data Structures (3 credits) · Offered: Fall, Winter
- COMP 370 Introduction to Data Science (3 credits) · Offered: Fall
- COMP 424 Artificial Intelligence (3 credits) · Offered: Fall
- COMP 551 Applied Machine Learning (4 credits) · Offered: Fall, Winter
- MATH 308 Fundamentals of Statistical Learning (3 credits) · Offered: Winter
- MATH 350 Honours Discrete Mathematics (3 credits) · Offered: Fall
- MATH 378 Nonlinear Optimization (3 credits) · Not scheduled for 2026–2027
- MATH 462 Machine Learning (3 credits) · Not scheduled for 2026–2027
- MATH 517 Honours Linear Optimization (4 credits) · Offered: Fall
- MATH 562 Theory of Machine Learning · Not scheduled for 2026–2027
- MATH 563 Honours Convex Optimization (4 credits) · Offered: Winter
3 credits selected from: (3 credits)
3 credits selected from:
3 credits from: (3 credits)
3 credits from:
15-23 credits selected from: (15–23 credits)
15-23 credits selected from:
- MATH 204 Principles of Statistics 2 (3 credits) · Offered: Winter
- MATH 308 Fundamentals of Statistical Learning (3 credits) · Offered: Winter
- MATH 511 Analysis of Categorical Data (4 credits) · Offered: Winter
- MATH 523 Generalized Linear Models (4 credits) · Offered: Winter
- MATH 524 Nonparametric Statistics (4 credits) · Not scheduled for 2026–2027
- MATH 525 Sampling Theory and Applications (4 credits) · Not scheduled for 2026–2027
- MATH 526 Lifetime Data Analysis (4 credits) · Offered: Winter
- MATH 545 Introduction to Time Series Analysis (4 credits) · Offered: Winter
- MATH 547 Stochastic Processes (4 credits) · Offered: Winter
- MATH 556 Mathematical Statistics 1 (4 credits) · Offered: Fall
- MATH 557 Mathematical Statistics 2 (4 credits) · Offered: Winter
- MATH 558 Design of Experiments (4 credits) · Offered: Winter
- MATH 559 Bayesian Theory and Methods (4 credits) · Offered: Fall
- MATH 587 Advanced Probability Theory 1 (4 credits) · Offered: Fall
- MATH 589 Advanced Probability Theory 2 (4 credits) · Offered: Winter
0-3 credits from the following courses for which no Honours equivalent exists: (0–3 credits)
0-3 credits from the following courses for which no Honours equivalent exists:
0-8 credits selected from: (0–8 credits)
0-8 credits selected from:
- COMP 370 Introduction to Data Science (3 credits) · Offered: Fall
- COMP 424 Artificial Intelligence (3 credits) · Offered: Fall
- COMP 451 Fundamentals of Machine Learning (3 credits) · Not scheduled for 2026–2027
- COMP 551 Applied Machine Learning (4 credits) · Offered: Fall, Winter
- COMP 579 Reinforcement Learning (4 credits) · Offered: Winter
- COMP 588 Probabilistic Graphical Models (4 credits) · Not scheduled for 2026–2027
- MATH 430 Mathematical Finance (3 credits) · Offered: Winter
- MATH 462 Machine Learning (3 credits) · Not scheduled for 2026–2027
- MATH 510 Quantitative Risk Management (4 credits) · Not scheduled for 2026–2027
- MATH 562 Theory of Machine Learning (4 credits) · Not scheduled for 2026–2027
- MATH 594 Topics in Mathematics and Statistics (4 credits) · Offered: Fall
- MATH 598 Topics in Probability & Statistics (4 credits) · Offered: Fall, Winter
Related programs
Source: McGill Course Catalogue. myDegree is an independent student project, not affiliated with McGill University.