Please note:
To view the Fall 2024 Academic Calendar, go to www.sfu.ca/students/calendar/2024/fall.html.
Actuarial Science Major
The Department of Statistics and Actuarial Science offers a bachelor of science (BSc) program in actuarial science within the Faculty of Science.
Frequently asked questions about the program and contact information for the Undergraduate Advisor for the department can be found here. Students should seek advice early in their academic careers about program planning from the department's advisors.
Admission Requirements
Students may be admitted by direct entry on their university application, or by application to the Department of Statistics and Actuarial Science, after they have been admitted.
Visit this website to view admission requirements.
Courses for Further Credit
No student may complete, for further credit, any course offered by the Department of Statistics and Actuarial Science which is a prerequisite for a course the student has already completed with a grade of C- or higher without permission of the department.
Prerequisite Grade Requirement
Students must have a grade of C- or better in prerequisites for STAT courses. Students must have a grade of C or better in prerequisites for ACMA courses.
GPA Required for Continuation
To continue in the program, students must maintain at least a 2.25 grade point average in ACMA, CMPT, MACM, MATH, and STAT courses.
Graduation Requirement
Students are required to complete a minimum of 44 upper division units including a minimum of 28 units in the major subject or field and achieve a CGPA of 2.5 or better to graduate.
Program Requirements
Students complete 120 units, as specified below.
Graduation Grade Point Averages
Lower Division Requirements
Students complete all of
General overview of universally useful concepts in insurance, pensions and financial management. Typical life, health and property & casualty insurance products; underwriting; pricing; reserving; regulation; social insurance; retirement plans and annuities; financial planning: mortgages, loans, wealth management. Corequisite: MATH 150, 151, 154 or 157. Quantitative/Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Cherie Ng |
Jan 6 – Apr 9, 2025: Tue, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby |
D101 |
Cherie Ng |
Jan 6 – Apr 9, 2025: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D102 |
Cherie Ng |
Jan 6 – Apr 9, 2025: Fri, 12:30–1:20 p.m.
|
Burnaby |
Measurement of interest, present value. Equations of value. Annuities. Loans and amortization schedules. Bonds and other securities. Cash flows: yield rates, duration, convexity, immunization. Yield curves: spot rates, forward rates. Interest rate swaps. Covers part of the syllabus for Exam FM of the Society of Actuaries and Exam 2 of the Casualty Actuarial Society. Prerequisite: MATH 152 with a minimum grade of C; or MATH 155 or MATH 158, with a grade of at least B. Students with credit for ACMA 210 cannot take ACMA 201 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Himchan Jeong |
Jan 6 – Apr 9, 2025: Mon, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby |
D101 |
Himchan Jeong |
Jan 6 – Apr 9, 2025: Wed, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Introduction to key analytical tools used to organize and process data to support decision making. Prerequisite: BC Mathematics 12 (or equivalent) or any 100-level MATH course with a minimum grade of C.
Examine and review today's global economy through critical analysis of differing perspectives. Develop and improve critical thinking and communication skills appropriate to the business environment. Prerequisite: BUS 201 with a minimum grade of C- and 15 units; OR 45 units and corequisite: BUS 202; OR business administration joint major, joint honours, or double degree students with 45 units; OR data science students with 15 units; OR actuarial science students with 15 units. Writing.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Susan Christie-Bell |
Jan 6 – Apr 9, 2025: Tue, 2:30–4:20 p.m.
|
Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Tue, 5:30–6:20 p.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Tue, 6:30–7:20 p.m.
|
Burnaby |
|
D200 |
Ilia BYKOV |
Jan 6 – Apr 9, 2025: Wed, 2:30–4:20 p.m.
|
Surrey |
D201 |
Jan 6 – Apr 9, 2025: Wed, 4:30–5:20 p.m.
|
Surrey |
|
D202 |
Jan 6 – Apr 9, 2025: Wed, 5:30–6:20 p.m.
|
Surrey |
|
D300 |
Susan Christie-Bell |
Jan 6 – Apr 9, 2025: Tue, 10:30 a.m.–12:20 p.m.
|
Burnaby |
D301 |
Jan 6 – Apr 9, 2025: Tue, 12:30–1:20 p.m.
|
Burnaby |
|
D302 |
Jan 6 – Apr 9, 2025: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
D303 |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Burnaby |
|
D400 |
Stephen Spector |
Jan 6 – Apr 9, 2025: Wed, 2:30–5:20 p.m.
|
Burnaby |
D500 |
Ilia BYKOV |
Jan 6 – Apr 9, 2025: Thu, 2:30–4:20 p.m.
|
Burnaby |
D501 |
Jan 6 – Apr 9, 2025: Thu, 4:30–5:20 p.m.
|
Burnaby |
|
D502 |
Jan 6 – Apr 9, 2025: Thu, 5:30–6:20 p.m.
|
Burnaby |
|
D503 |
Jan 6 – Apr 9, 2025: Thu, 6:30–7:20 p.m.
|
Burnaby |
|
E100 |
Jan 6 – Apr 9, 2025: Thu, 5:30–7:20 p.m.
|
Burnaby |
|
E101 |
Jan 6 – Apr 9, 2025: Thu, 7:30–8:20 p.m.
|
Burnaby |
|
E102 |
Jan 6 – Apr 9, 2025: Thu, 7:30–8:20 p.m.
|
Burnaby |
|
E103 |
Jan 6 – Apr 9, 2025: Thu, 8:30–9:20 p.m.
|
Burnaby |
An introduction to financial accounting, including accounting terminology, understanding financial statements, analysis of a business entity using financial statements. Includes also time value of money and a critical review of the conventional accounting system. Prerequisite: 12 units. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Richard Wong |
Jan 6 – Apr 9, 2025: Tue, 12:30–2:20 p.m.
|
Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Burnaby |
|
D104 |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Burnaby |
|
D107 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
D108 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
D200 |
Praise Ma |
Jan 6 – Apr 9, 2025: Thu, 10:30 a.m.–12:20 p.m.
|
Surrey |
D201 |
Jan 6 – Apr 9, 2025: Thu, 12:30–1:20 p.m.
|
Surrey |
|
D202 |
Jan 6 – Apr 9, 2025: Thu, 12:30–1:20 p.m.
|
Surrey |
|
D203 |
Jan 6 – Apr 9, 2025: Thu, 1:30–2:20 p.m.
|
Surrey |
|
D204 |
Jan 6 – Apr 9, 2025: Thu, 1:30–2:20 p.m.
|
Surrey |
|
E100 |
Richard Wong |
Jan 6 – Apr 9, 2025: Tue, 5:30–7:20 p.m.
|
Burnaby |
E101 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E102 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E103 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E104 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E105 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 p.m.
|
Burnaby |
|
E106 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 p.m.
|
Burnaby |
|
E107 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 p.m.
|
Burnaby |
|
E108 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 p.m.
|
Burnaby |
Theory and methods of cost compilation for managerial planning, control and decision making; the use of budgets and analysis in planning and controlling operations, establishing supervisory and departmental responsibility, and various techniques of measuring results. Prerequisite: BUS 251 with a minimum grade of C-; 15 units. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Kwai Man Teresa Fung |
Jan 6 – Apr 9, 2025: Tue, 10:30 a.m.–12:20 p.m.
|
Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Tue, 12:30–1:20 p.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Tue, 12:30–1:20 p.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Tue, 12:30–1:20 p.m.
|
Burnaby |
|
D104 |
Jan 6 – Apr 9, 2025: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
D107 |
Jan 6 – Apr 9, 2025: Tue, 1:30–2:20 p.m.
|
Burnaby |
|
D200 |
Kwai Man Teresa Fung |
Jan 6 – Apr 9, 2025: Thu, 10:30 a.m.–12:20 p.m.
|
Surrey |
D201 |
Jan 6 – Apr 9, 2025: Thu, 12:30–1:20 p.m.
|
Surrey |
|
D202 |
Jan 6 – Apr 9, 2025: Thu, 12:30–1:20 p.m.
|
Surrey |
|
D203 |
Jan 6 – Apr 9, 2025: Thu, 1:30–2:20 p.m.
|
Surrey |
|
D204 |
Jan 6 – Apr 9, 2025: Thu, 1:30–2:20 p.m.
|
Surrey |
|
E100 |
Michael Favere-Marchesi |
Jan 6 – Apr 9, 2025: Tue, 5:30–7:20 p.m.
|
Burnaby |
E101 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
E102 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
E103 |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
|
E104 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E105 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E106 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E107 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 p.m.
|
Burnaby |
An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Diana Cukierman |
Jan 6 – Apr 9, 2025: Mon, 2:30–4:20 p.m.
Jan 6 – Apr 9, 2025: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby |
D200 |
John Edgar |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Surrey |
D201 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Surrey |
D202 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 2:30–3:20 p.m.
|
Surrey |
D203 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Surrey |
D204 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Surrey |
D205 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Surrey |
D206 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Surrey |
D207 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 5:30–6:20 p.m.
|
Surrey |
D208 |
John Edgar |
Jan 6 – Apr 9, 2025: Tue, 5:30–6:20 p.m.
|
Surrey |
The principal elements of theory concerning utility and value, price and costs, factor analysis, productivity, labor organization, competition and monopoly, and the theory of the firm. Quantitative/Breadth-Soc.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Douglas Allen |
Jan 6 – Apr 9, 2025: Mon, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Mon, 1:30–2:20 p.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Mon, 12:30–1:20 p.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 a.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Mon, 1:30–2:20 p.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Tue, 10:30–11:20 a.m.
|
Burnaby |
|
D108 |
Jan 6 – Apr 9, 2025: Tue, 9:30–10:20 a.m.
|
Burnaby |
|
D110 |
Jan 6 – Apr 9, 2025: Tue, 11:30 a.m.–12:20 p.m.
|
Burnaby |
|
D111 |
Jan 6 – Apr 9, 2025: Tue, 11:30 a.m.–12:20 p.m.
|
Burnaby |
|
D112 |
Jan 6 – Apr 9, 2025: Mon, 12:30–1:20 p.m.
|
Burnaby |
|
D900 |
Yan Yan |
Jan 6 – Apr 9, 2025: Wed, Fri, 2:30–4:20 p.m.
|
Surrey |
E100 |
Yan Yan |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
Jan 6 – Apr 9, 2025: Thu, 3:30–5:20 p.m. |
Burnaby Burnaby |
E101 |
Jan 6 – Apr 9, 2025: Wed, 1:30–2:20 p.m.
|
Burnaby |
|
E102 |
Jan 6 – Apr 9, 2025: Wed, 1:30–2:20 p.m.
|
Burnaby |
|
E103 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
E104 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
E105 |
Jan 6 – Apr 9, 2025: Wed, 3:30–4:20 p.m.
|
Burnaby |
|
E107 |
Jan 6 – Apr 9, 2025: Wed, 2:30–3:20 p.m.
|
Burnaby |
|
E111 |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
E113 |
Jan 6 – Apr 9, 2025: Wed, 12:30–1:20 p.m.
|
Burnaby |
|
E114 |
Jan 6 – Apr 9, 2025: Wed, 12:30–1:20 p.m.
|
Burnaby |
The principal elements of theory concerning money and income, distribution, social accounts, public finance, international trade, comparative systems, and development and growth. Quantitative/Breadth-Soc.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Brian Krauth |
Jan 6 – Apr 9, 2025: Tue, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Thu, 8:30–9:20 a.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D104 |
Jan 6 – Apr 9, 2025: Fri, 8:30–9:20 a.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Fri, 8:30–9:20 a.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Fri, 9:30–10:20 a.m.
|
Burnaby |
|
D107 |
Jan 6 – Apr 9, 2025: Fri, 9:30–10:20 a.m.
|
Burnaby |
|
D110 |
Jan 6 – Apr 9, 2025: Thu, 2:30–3:20 p.m.
|
Burnaby |
|
D114 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D200 |
Vasyl Golovetskyy |
Jan 6 – Apr 9, 2025: Wed, 2:30–5:20 p.m.
|
Burnaby |
D201 |
Jan 6 – Apr 9, 2025: Mon, 12:30–1:20 p.m.
|
Burnaby |
|
D202 |
Jan 6 – Apr 9, 2025: Mon, 11:30 a.m.–12:20 p.m.
|
Burnaby |
|
D203 |
Jan 6 – Apr 9, 2025: Mon, 10:30–11:20 a.m.
|
Burnaby |
|
D204 |
Jan 6 – Apr 9, 2025: Mon, 9:30–10:20 a.m.
|
Burnaby |
|
D900 |
Yan Yan |
Jan 6 – Apr 9, 2025: Wed, Fri, 10:30 a.m.–12:20 p.m.
|
Surrey |
Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151 or 155, with a minimum grade of C-; or MATH 154 or 157, with a grade of at least B. Students with credit for MATH 158 or 251 may not take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Nathan Ilten |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Burnaby |
D200 |
Jamie Mulholland |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Burnaby |
D300 |
Seda Albayrak |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Burnaby |
D400 |
Abraham Punnen |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
|
Surrey |
OP01 | TBD | ||
OP02 | TBD |
Rectangular, cylindrical and spherical coordinates. Vectors, lines, planes, cylinders, quadric surfaces. Vector functions, curves, motion in space. Differential and integral calculus of several variables. Vector fields, line integrals, fundamental theorem for line integrals, Green's theorem. Prerequisite: MATH 152 with a minimum grade of C-; or MATH 158 with a grade of at least B. Also, for students in the life sciences, MATH 154 with a minimum grade of C- and MATH 155 with a minimum grade of A-. Recommended: It is recommended that MATH 240 or 232 be taken before or concurrently with MATH 251. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Lucas Villagra Torcomian |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Burnaby |
OP01 | TBD |
An introduction to the R programming language for data science. Exploring data: visualization, transformation and summaries. Data wrangling: reading, tidying, and data types. No prior computer programming experience required. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, ECON 233, or POL 201, with a grade of at least C- or permission of the instructor. Students who have taken STAT 341 or STAT 360 first may not then take this course for further credit.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Thu, 10:30 a.m.–12:20 p.m.
|
Burnaby |
D101 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Tue, 3:30–4:20 p.m.
|
Burnaby |
D102 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Tue, 4:30–5:20 p.m.
|
Burnaby |
D103 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Tue, 5:30–6:20 p.m.
|
Burnaby |
D104 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Wed, 4:30–5:20 p.m.
|
Burnaby |
D105 |
Haolun Shi |
Jan 6 – Apr 9, 2025: Wed, 5:30–6:20 p.m.
|
Burnaby |
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Richard Lockhart |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Burnaby |
OL01 |
Jinko Graham |
Online | |
OP01 | TBD |
This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Prerequisite: STAT 270 and one of MATH 152, MATH 155, or MATH 158, all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Liangliang Wang |
Jan 6 – Apr 9, 2025: Mon, 12:30–1:20 p.m.
Jan 6 – Apr 9, 2025: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby |
D101 |
Liangliang Wang |
Jan 6 – Apr 9, 2025: Thu, 2:30–3:20 p.m.
|
Burnaby |
D102 |
Liangliang Wang |
Jan 6 – Apr 9, 2025: Thu, 3:30–4:20 p.m.
|
Burnaby |
and one of
Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Lyn Ge Lyn Ge |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 8:30–9:20 a.m.
|
Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Tue, 8:30–9:20 a.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Tue, 9:30–10:20 a.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Tue, 10:30–11:20 a.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Wed, 12:30–1:20 p.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Wed, 1:30–2:20 p.m.
|
Burnaby |
|
D107 |
Jan 6 – Apr 9, 2025: Wed, 4:30–5:20 p.m.
|
Burnaby |
|
D108 |
Jan 6 – Apr 9, 2025: Wed, 3:30–4:20 p.m.
|
Burnaby |
|
D400 |
Vijaykumar Singh |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
|
Surrey |
D401 |
Jan 6 – Apr 9, 2025: Wed, 1:30–2:20 p.m.
|
Surrey |
|
D403 |
Jan 6 – Apr 9, 2025: Wed, 12:30–1:20 p.m.
|
Surrey |
|
OP01 | TBD | ||
OP02 | TBD |
Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.
and one of
Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Luis Goddyn Marni Julie Mishna |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D200 |
Saieed Akbari Feyzaabaadi |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D400 |
Randall Pyke |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 2:30–3:20 p.m.
|
Surrey |
OP01 | TBD | ||
OP02 | TBD |
Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Katrina Honigs |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
OP01 | TBD |
* Recommended
Upper Division Requirements
Students complete the following courses
all of
Life tables, basic survival models. Basic life insurance and annuities: present value random variables, premium calculations, reserves. Computer applications for pricing and reserving for life insurance portfolios. Covers part of the syllabus for Exam LTAM of the Society of Actuaries. Prerequisite: ACMA 201 (or 210), with a minimum grade of C. Corequisite: STAT 285. Students with credit for ACMA 320 cannot take ACMA 301 for further credit. Quantitative.
Short-term insurance and reinsurance coverages. Basic ratemaking and reserving for short-term insurance. Models for severity and frequency of claims. Coverage modifications: deductibles, policy limits, coinsurance. Estimation and selection of parametric models in the context of insurance. Prerequisite: ACMA 101 with a minimum grade of C. Corequisite: STAT 330, ACMA 231. Students with credit for ACMA 355 may not take this course for further credit. Quantitative.
Option pricing models and their application to insurance and financial risks. Introduction to finance and derivatives. Option strategies and risk management. Binomial models. Black-Scholes-Merton model. Market-making, hedging, and option Greeks. Introduction to exotic options. Mean-variance portfolio theory and asset pricing models. Covers part of the syllabus for Exam 3F of the Casualty Actuarial Society. Prerequisite: ACMA 201 (or 210), with a minimum grade of C. Corequisite: STAT 285. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Barbara Sanders |
Jan 6 – Apr 9, 2025: Tue, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby |
D101 |
Barbara Sanders |
Jan 6 – Apr 9, 2025: Wed, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Advanced survival models. Multiple state models. Advanced premium calculations and reserves. Profit testing. Pension plans and retirement benefits. Computer applications for pricing, reserving and risk measurement of life insurance portfolios. Covers part of the syllabus for Exam LTAM of the Society of Actuaries. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Students with credit for ACMA 425 cannot take ACMA 401 for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Chi-Liang Tsai |
Jan 6 – Apr 9, 2025: Mon, 2:30–4:20 p.m.
Jan 6 – Apr 9, 2025: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby |
D101 |
Chi-Liang Tsai |
Jan 6 – Apr 9, 2025: Wed, 4:30–5:20 p.m.
|
Burnaby |
Risk measures. Extreme value theory: models and applications. Aggregate models for claims. Regression-based approaches to claims modeling: generalized linear models, linear mixed models. Prerequisite: ACMA 321 with a minimum grade of C. Corequisite: STAT 350.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Himchan Jeong |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Burnaby |
D101 |
Himchan Jeong |
Jan 6 – Apr 9, 2025: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Review of probability and distributions. Multivariate distributions. Distributions of functions of random variables. Limiting distributions. Inference. Sufficient statistics for the exponential family. Maximum likelihood. Bayes estimation, Fisher information, limiting distributions of MLEs. Likelihood ratio tests. Prerequisite: STAT 285, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C-. Quantitative.
Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 260, STAT 285, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Boxin Tang |
Jan 6 – Apr 9, 2025: Tue, 2:30–4:20 p.m.
Jan 6 – Apr 9, 2025: Thu, 2:30–3:20 p.m. |
Burnaby Burnaby |
D101 |
Boxin Tang |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
D102 |
Boxin Tang |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 260 and one of STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C-. Quantitative.
and one of
Advanced ratemaking: trend analysis, ultimate losses, expense provisions, profit and contingencies, overall rate indications, classification rates. Experience rating: credibility theory and applications, bonus-malus systems. Loss reserving: estimating unpaid losses and IBNR, statistical models and assumptions for outstanding claim reserves. Prerequisite: ACMA 321 with a minimum grade of C. Students with credit for ACMA 470 may not take this course for further credit. Quantitative.
Measures of mortality and fertility: Crude rates, age-specific mortality rates, adjusted measures of mortality. Construction of life tables from census data. Stationary population theory: survivorship group, Lexis diagram. Stable population theory: Sharpe-Lotka theorem, growth rate, quasi-stable populations. Mortality models. Longevity risk. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Quantitative.
Overview of pension plans: design, funding, regulation, accounting standards. Pension funding methods: actuarial cost methods, terminal funding method. Individual actuarial cost methods: accrual benefit cost method, entry-age actuarial cost method, unit-credit method, individual-level-premium method, attainted-age-normal method. Group actuarial cost methods. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Corequisite: ACMA 401. Quantitative.
and three of
Guided experiences in written and oral communication of actuarial ideas and results to both expert and lay audiences. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Students who have taken STAT 300W first may not then take this course for further credit. Writing/Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Cherie Ng |
Jan 6 – Apr 9, 2025: Mon, 10:30 a.m.–12:20 p.m.
Jan 6 – Apr 9, 2025: Wed, 10:30–11:20 a.m. |
Burnaby Burnaby |
Topics in areas of actuarial science not covered in the regular curriculum of the department. Prerequisite: Dependent on the topics covered.
The topics included in this course will vary from term to term depending on faculty availability and student interest. Prerequisite: Dependent on the topic covered.
Role and function of financial managers, financial analysis, compound interest valuation and capital budgeting, management of current assets, introduction to financial instruments and institutions. Prerequisite: BUS 254 with a minimum grade of C- and 45 units; OR actuarial science students with BUS 254 with a minimum grade of C- and 45 units. Recommended: BUS 207 or ECON 201. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Gherardo Gennaro Caracciolo |
Jan 6 – Apr 9, 2025: Thu, 11:30 a.m.–2:20 p.m.
|
Burnaby |
D200 |
Gherardo Gennaro Caracciolo |
Jan 6 – Apr 9, 2025: Wed, 9:30 a.m.–12:20 p.m.
|
Surrey |
Investments from an individual and institutional point of view. Topics include: bond valuation and the term structure of interest rates, stock valuation, portfolio theory, asset pricing models, efficient markets and portfolio performance evaluation. Prerequisite: BUS 312, BUS 336 and (BUS 207 or ECON 201), all with a minimum grade of C- and 45 units; OR actuarial science students with STAT 285 and BUS 312, both with a minimum grade of C- and 45 units. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Khalil Esmkhani |
Jan 6 – Apr 9, 2025: Tue, 11:30 a.m.–2:20 p.m.
|
Burnaby |
E100 |
Khalil Esmkhani |
Jan 6 – Apr 9, 2025: Tue, 5:30–8:20 p.m.
|
Burnaby |
Aspects of microeconomic theory concerned with strategic behavior, imperfect information, and market failure. Topics include game theory and oligopoly; uncertainty and insurance; asymmetric information and market power, externalities and public goods, together with related issues in welfare economics. Prerequisite: ECON 201 with a minimum grade of C-; 60 units. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Shih En Lu |
Jan 6 – Apr 9, 2025: Wed, 2:30–5:20 p.m.
|
Burnaby |
D106 |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D109 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D110 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
|
D113 |
Jan 6 – Apr 9, 2025: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Concepts and methods of analysis of macroeconomic variables -- consumption, investment, government and foreign trade. Classical and Keynesian models compared; analysis of economic statics and dynamics. Prerequisite: ECON 201 with a minimum grade of C-; 60 units. Students with a minimum grade of A- in ECON 103 and 105 at Simon Fraser University at their first attempt can complete ECON 305 concurrently with ECON 201 after 30 units. Students seeking permission to enroll on this basis must contact the undergraduate advisor in economics. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Yan Yan |
Jan 6 – Apr 9, 2025: Tue, 2:30–4:20 p.m.
Jan 6 – Apr 9, 2025: Thu, 2:30–3:20 p.m. |
Burnaby Burnaby |
D101 |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Wed, 9:30–10:20 a.m.
|
Burnaby |
|
D105 |
Jan 6 – Apr 9, 2025: Wed, 8:30–9:20 a.m.
|
Burnaby |
|
D106 |
Jan 6 – Apr 9, 2025: Wed, 8:30–9:20 a.m.
|
Burnaby |
|
D107 |
Jan 6 – Apr 9, 2025: Wed, 9:30–10:20 a.m.
|
Burnaby |
|
D108 |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
D109 |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 12:30–1:20 p.m.
|
Burnaby |
D101 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Wed, 2:30–3:20 p.m.
|
Burnaby |
D102 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Wed, 3:30–4:20 p.m.
|
Burnaby |
D103 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Wed, 4:30–5:20 p.m.
|
Burnaby |
D104 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Thu, 9:30–10:20 a.m.
|
Burnaby |
D105 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Thu, 10:30–11:20 a.m.
|
Burnaby |
D106 |
Steven Ruuth |
Jan 6 – Apr 9, 2025: Thu, 11:30 a.m.–12:20 p.m.
|
Burnaby |
D107 |
Jan 6 – Apr 9, 2025: Thu, 4:30–5:20 p.m.
|
Burnaby |
|
D108 |
Jan 6 – Apr 9, 2025: Thu, 5:30–6:20 p.m.
|
Burnaby |
Theoretical and computational methods for investigating the minimum of a function of several real variables with and without inequality constraints. Applications to operations research, model fitting, and economic theory. Prerequisite: MATH 232 or 240, and 251, all with a minimum grade of C-. Quantitative.
Introduces the SAS statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Prerequisite: STAT 285 or STAT 302 or STAT 305 or ECON 333, with a minimum grade of C-. Students with credit for STAT 340 may not take STAT 342 for further credit.
Advanced R programming methods for data science. Tools for reproducible research. Version control. Data structures, subsetting, functions, environments, and debugging. Functional programming. Code performance: profiling, memory, integrating R and C++. Prerequisite: One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333, all with a minimum grade of C-. CMPT 125 or CMPT 129 is also recommended.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D101 |
Samopriya Basu |
Jan 6 – Apr 9, 2025: Thu, 2:30–3:20 p.m.
|
Burnaby |
D102 |
Samopriya Basu |
Jan 6 – Apr 9, 2025: Thu, 3:30–4:20 p.m.
|
Burnaby |
Review of discrete and continuous probability models and relationships between them. Exploration of conditioning and conditional expectation. Markov chains. Random walks. Continuous time processes. Poisson process. Markov processes. Gaussian processes. Prerequisite: STAT 330, or all of: STAT 285, MATH 208W, and MATH 251, all with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Samopriya Basu |
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Burnaby |
D101 |
Samopriya Basu |
Jan 6 – Apr 9, 2025: Wed, 3:30–4:20 p.m.
|
Burnaby |
A data-first discovery of advanced statistical methods. Focus will be on a series of forecasting and prediction competitions, each based on a large real-world dataset. Additionally, practical tools for statistical modeling in real-world environments will be explored. Prerequisite: 90 units including STAT 350 with a minimum grade of C- and one of STAT 341, STAT 260, or CMPT 225, with a minimum grade of C-, or instructor approval. STAT 240 is also recommended.
Introduction to principal components, cluster analysis, and other commonly used multivariate techniques. Prerequisite: STAT 260 and one of STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent, with a minimum grade of C-. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
E100 |
Jan 6 – Apr 9, 2025: Tue, 4:30–6:20 p.m.
Jan 6 – Apr 9, 2025: Thu, 4:30–5:20 p.m. |
Burnaby Burnaby |
|
E101 |
Jan 6 – Apr 9, 2025: Tue, 6:30–7:20 p.m.
|
Burnaby |
|
E102 |
Jan 6 – Apr 9, 2025: Tue, 7:30–8:20 p.m.
|
Burnaby |
|
E103 |
Jan 6 – Apr 9, 2025: Mon, 4:30–5:20 p.m.
|
Burnaby |
|
E104 |
Jan 6 – Apr 9, 2025: Mon, 5:30–6:20 p.m.
|
Burnaby |
Distribution theory, methods for constructing tests, estimators, and confidence intervals with special attention to likelihood methods. Properties of the procedures including large sample theory. Prerequisite: STAT 330 with a minimum grade of C-. Quantitative.
The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Prerequisite: STAT 330 and 350, with a minimum grade of C-. Quantitative.
Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way contingency tables, logistic regression, and loglinear (Poisson) regression. Prerequisite: STAT 260 and one of STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C-. Students with credit for the former STAT 402 or 602 may not take this course for further credit. Quantitative.
Section | Instructor | Day/Time | Location |
---|---|---|---|
D100 |
Jan 6 – Apr 9, 2025: Tue, 12:30–2:20 p.m.
Jan 6 – Apr 9, 2025: Fri, 12:30–1:20 p.m. |
Burnaby Burnaby |
|
D101 |
Jan 6 – Apr 9, 2025: Wed, 12:30–1:20 p.m.
|
Burnaby |
|
D102 |
Jan 6 – Apr 9, 2025: Wed, 1:30–2:20 p.m.
|
Burnaby |
|
D103 |
Jan 6 – Apr 9, 2025: Wed, 11:30 a.m.–12:20 p.m.
|
Burnaby |
Introduction to linear time series analysis including moving average, autoregressive and ARIMA models, estimation, data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models. Prerequisite: STAT 260 and one of STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent, with a minimum grade of C-. Students with credit for ECON 484 may not take this course for further credit. Quantitative.
Certain elective courses are pre-approved courses for Validation by Educational Experience (VEE) units from the Society of Actuaries. Information is available here.
University Degree Requirements
Students must also satisfy University degree requirements for degree completion.
Writing, Quantitative, and Breadth Requirements
Students admitted to Simon Fraser University beginning in the fall 2006 term must meet writing, quantitative and breadth requirements as part of any degree program they may undertake. See Writing, Quantitative, and Breadth Requirements for university-wide information.
WQB Graduation Requirements
A grade of C- or better is required to earn W, Q or B credit
Requirement |
Units |
Notes | |
W - Writing |
6 |
Must include at least one upper division course, taken at Simon Fraser University within the student's major subject; two courses (minimum three units each) |
|
Q - Quantitative |
6 |
Q courses may be lower or upper division; two courses (total six units or more) | |
B - Breadth |
18 |
Designated Breadth |
Must be outside the student's major subject, and may be lower or upper division: Two courses (total six units or more) Social Sciences: B-Soc |
6 |
Additional Breadth |
Two courses (total six units or more) outside the student's major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements). Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas. |
Residency Requirements and Transfer Credit
- At least half of the program's total units must be earned through Simon Fraser University study.
- At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.
Elective Courses
In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.