Certificate in Actuarial and Financial Mathematics
ObjectivesThis program addresses many of the learning objectives and fundamental mathematical and statistical skills required to complete the first two courses (and examinations) of the Society of Actuaries accreditation program. This program also prepares students for employment in general financial institutions where modeling, quantitative risk analysis, management of investment instruments, asset and liability management, life contingencies and insurance assessment, and other complex financial calculations are required.
Academic titleCertificate in Actuarial and Financial Mathematics
Course descriptionThe requirements are:
1. Completion of the 20 credit Major or Honours program in Mathematics and/or Statistics.
2. Completion of the following mathematics classes: MATH 1000, MATH 1010, MATH 2001, MATH 2002, MATH 2030, MATH 2600, MATH 3110, MATH 3300 and MATH 3900
3. Completion of the following four statistics classes STAT 2060, STAT 2080 , STAT 3340 and STAT 3360.
MATH 0009.00: Academic Math.
MATH 0010.00: Pre-Calculus Mathematics (NS Grade 12 Pre-Calculus Math).
MATH 0011.00: Pre-calculus Plus ( NS Grade 12 pre-calculus).
MATH 1000.03: Differential and Integral Calculus I.
MATH 1001.03: Mathematics for Liberal Arts Students I.
MATH 1002.03: Mathematics for Liberal Arts Students II.
MATH 1003.03: The Mathematics of Multimedia.
MATH 1010.03: Differential and Integral Calculus II.
MATH 1060.03: Introductory Statistics for Science and Health Sciences.
MATH 1115.03: Mathematics for Commerce.
MATH 1215.03: Life Sciences Calculus.
MATH 1280.03: Math Engineering.
MATH 1290.03: Engineering Mathematics II.
MATH 1500X/Y.06: Calculus.
MATH 1600.03: Spectrum of Mathematics.
MATH 2001.03: Intermediate Calculus I.
MATH 2002.03: Intermediate Calculus II.
MATH 2030.03: Matrix Theory and Linear Algebra I.
MATH 2040.03: Matrix Theory and Linear Algebra II.
MATH 2051.03: Problems in Geometry.
MATH 2060.03: Introduction to Probability and Statistics I.
MATH 2080.03: Statistical Methods For Data Analysis & Inference.
MATH 2112.03: Discrete Structures I.
MATH 2113.03: Discrete Structures II.
MATH 2135.03: Linear Algebra.
MATH 2300.03: Mathematical Modelling.
MATH 2400.03: Introduction to Numerical Computing.
MATH 2505.03: Introductory Analysis.
MATH 2600.03: Theory of Interest and Life Contingencies.
MATH 3030X/Y.06: Abstract Algebra.
MATH 3045.03: Curves and Surfaces.
MATH 3070.03: Theory of Numbers.
MATH 3080.03: Introduction to Complex Variables.
MATH 3110.03: Differential Equations.
MATH 3120.03: Differential Equations.
MATH 3140.03: Introduction to Wavelets.
MATH 3150.03: Intro Nonlinear Dynamics.
MATH 3170.03: Introduction to Numerical Linear Algebra.
MATH 3300.03: Optimization.
MATH 3330.03: Applied Graph Theory.
MATH 3340.03: Regression and Analysis of Variance.
MATH 3350.03: Design of Experiments.
MATH 3360.03: Probability.
MATH 3380.03: Sample Survey Methods.
MATH 3400.03: Classical Game Theory.
MATH 3460.03: Intermediate Statistical Theory.
MATH 3500X/Y.06: Intermediate Analysis.
MATH 3700.03: Mathematics for Economics.
MATH 3800.03: Financial Economics.
MATH 3900.03: Financial Mathematics.
MATH 4010.03: Introduction to Measure Theory and Integration.
MATH 4020.03: Analytic Function Theory.
MATH 4025.03: Commutative Algebra I.
MATH 4045.03: Advanced Algebra I.
MATH 4055.03: Advanced Algebra II.
MATH 4065.03: Algebraic Geometry.
MATH 4066.03: Advanced Statistical Theory I.
MATH 4070.03: Topics in Number Theory.
MATH 4090.03: Probability.
MATH 4116.03: Cryptography.
MATH 4130.03: Analysis of Algorithms.
MATH 4135.03: Introduction to Category Theory.
MATH 4136.03: Topics in Category Theory.
MATH 4140.03: Introduction to Functional Analysis.
MATH 4165.03: Mathematical Methods of Physics.
MATH 4170.03: General Topology.
MATH 4175.03: Topics in Mathematical Physics.
MATH 4180.03: Introduction to Algebraic Topology.
MATH 4190.03: Ordinary Differential Equations.
MATH 4195.03: Topics in Topology and Functional Analysis.
MATH 4200.03: Ordinary Differential Equations - Qualitative Theory.
MATH 4220.03: Introduction to Partial Differential Equations.
MATH 4230.03: Partial Differential Equations.
MATH 4250.03: Asymptotic Analysis.
MATH 4320.03: Combinatorial Optimization.
MATH 4330.03: Topics in Graph Theory.
MATH 4340.3: Discrete Random Structures.
MATH 4360.03: Combinatorial Modeling.
MATH 4410.03: Cosmology.
MATH 4530.03: Differential Geometry.
MATH 4650.03: General Relativity.
MATH 4660.03: Automata and Computability.
MATH 4680.03: Topics in Logic and Computation.
MATH 4800.03: Introduction to Mathematical Research.