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• .03: Differential and Integral Calculus I/.03: Differential and Integral Calculus II or MATH 1500.06X/Y: Calculus
• .03: Matrix Theory and Linear Algebra I
• .03: Intermediate Calculus I
• .03: Methods for Ordinary Differential equations
• twelve additional credit hours of Math at or above the 2000 level
• This selection may not include .03:  Mathematics for Economists, .03: Financial Economics.

NOTE: Students will not receive credit for taking .03 after receiving credit for .03, MATH 1500X, or .03

1000 level

• .03: Matrix Theory and Linear Algebra I

2000 level

• .03: Intermediate Calculus I/.03: Intermediate Calculus II
• .03: Matrix Theory and Linear Algebra II (or .03: Linear Algebra)
• At least one of .03: Discrete Structures I, .03: Problems in Geometry or .03: Introductory Analysis
• Six additional credit hours in MATH at or above 2000 level
• Three credit hours in a STAT course at or above 2000 level

3000 level

• 24 additional credit hours in MATH at or above the 3000 level. This selection may not include .03: Mathematics for Economists, .03: Financial Economics.

Students wishing to concentrate in Applied Mathematics should choose the additional MATH courses from

• .03: Introduction to Probability and Statistics/.03: Statistical Methods for Data Analysis and Inference
• .03: Methods for Ordinary Differential Equations/.03: Differential Equations
• .03: Mathematical Modelling
• .03: Introduction to Numerical Analysis
• .03: Applied Differential Equations
• .03: Optimization
• .03: Applied Graph Theory
• .03: Classical Game Theory

Students wishing to concentrate in Pure Mathematics should choose the additional MATH courses from

• .03: Introduction to Probability and Statistics/.03
• .03: Methods for Ordinary Differential Equations/.03: Differential Equations
• .03: Abstract Algebra I/.03: Abstract Algebra II
• .03: Curves and Surfaces
• .03: Theory of Numbers
• .03: Introduction to Complex Variables

Students contemplating a career in Mathematics Education should choose the additional MATH courses from

• .03: Problems in Geometry
• .03: Introduction to Probability and Statistics/.03
• .03: Discrete Structures I/.03: Discrete Structures II
• .03: Mathematical Modelling
• .03: Abstract Algebra I/.03: Abstract Algebra II
• .03: Theory of Numbers
• .03: Introduction to Complex Variables
• .03: Introduction to Wavelets
• .03: Optimization
• .03: Applied Graph Theory
• .03: Classical Game Theory

Note: Students will not receive credit for taking .03 after receiving credit for .03, MATH 1500X, or .03

Mathematics as the Primary subject

Student completing a double major with Mathematics as the primary subject can fulfill the Mathematics requirements by following one of two programs below.

Pure Mathematics

2000 level

• .03: Intermediate Calculus I and .03: Intermediate Calculus II
• .03: Matrix Theory and Linear Algebra II (or MATH 2135.03: Linear Algebra)
• At least two of .03: Discrete Structures I, .03: Problems in Geometry, .03: Introductory Analysis

3000 level

• 18 additional MATH credit hours at or above the 3000 level. This selection may not include .03: Mathematics for Economists, .03: Financial Economics.

Applied Mathematics

2000 level

• .03: Intermediate Calculus I
• .03: Matrix Theory and Linear Algebra II (or .03: Linear Algebra)
• .03: Methods for Ordinary Differential Equations and .03: Intermediate Calculus II
• .03: Introduction to Probability and Statistics or .03: Statistical Methods for Data Analysis and Inference

3000 and 4000 level

• .03: Differential Equations or .03: Applied Differential Equations
• At least 15 credit hours selected from .03: Introduction to Complex Variables, .03: Statistical Mechanics, .03: Optimization, .03: Applied Graph Theory, .03: Classical Game Theory, .03: Financial Mathematics, .03: Ordinary Differential Equations, .03: Introduction to Partial Differential Equations, .03: Partial Differential Equations, .03: Asymptotic Analysis, .03: Combinatorial Optimization, .03: Combinatorics: Techniques and Structures, .03: Applied Analysis

Mathematics as the Secondary subject

A student enrolled in a Double Major with Mathematics as the secondary subject also fulfills the Mathematics requirements by following one of the programs listed above for a Double Major with Mathematics as the primary subject.

Note: Students will not receive credit for taking .03 after receiving credit for .03, MATH 1500X, or .03.

1000 level

• Math 1030.03: Matrix Theory and Linear Algebra 

2000 level

• .03: Intermediate Calculus I/.03: Intermediate Calculus II
  Math 2135.03: Linear Algebra and Math 2505.03: Introductory Analysis
• Fifteen additional credit hours in mathematics at or above the 2000 level - not including courses listed below

3000 level

• .03: Abstract Algebra I and .03: Intermediate Analysis I
• Students in Stream A are required to take .03: Abstract Algebra II and .03: Intermediate Analysis II
• Students in Stream B are required to take .03: Introduction to Complex Variables and .03: Applied Differential Equations

4000 level

• .03: Honours Research Project
• Twelve additional credit hours at or above the 4000 level

Note: Students will not receive credit for taking .03 after receiving credit for .03, MATH 1500X, or .03

Students in Stream A are advised to include a selection of courses from the following list in their programs:

• .03: Problems in Geometry
• .03: Discrete Structures II
• .03: Curves and Surfaces
• .03: Theory of Numbers
• .03: Introduction to Complex Variables
• .03: Applied Differential Equations
• .03: Applied Graph Theory
• .03: Probability

Students in Stream B are advised to include a selection of courses from the following list in their programs:

• .03: Introduction to Probability and Statistics
• .03: Mathematical Modelling
• .03: Abstract Algebra II
• .03: Curves and Surfaces
• PHYC 3050.03: Introduction to Numerical Programming
• .03: Optimization
• .03: Applied Graph Theory
• .03: Probability
• .03: Classical Game Theory
• .03: Intermediate Analysis II
• .03: Financial Mathematics

Honours Comprehensive Examination

The Honours Comprehensive Examination in mathematics consists of a written paper of about 20-30 pages researched and prepared by the student. The topic is decided on in conjunction with the Honours advisor. The paper is also presented to the honours seminar. The work for this paper is done as part of the required course .03: Honours Research Project.

Students interested in taking honours in mathematics and another subject as a combined program should consult the Mathematics Honours advisor. Combined programs in areas such as Mathematics and Statistics, Mathematics and Computer Science, Mathematics and Physics, Mathematics and Chemistry and Mathematics and Economics are common, but combined programs with Mathematics and any subject in the Faculty of Science, Faculty of Arts and Social Science, and Faculty of Computer Science can be arranged. These programs must satisfy University Regulations, but are designed to satisfy the interests and needs of the student.

Students contemplating a combined honours program in Mathematics and another subject should bear in mind that the work in either subject would probably be insufficient for admission to a regular graduate program. A qualifying year would usually be necessary.

This program addresses many of the learning objectives and fundamental mathematical and statistical skills required to complete the classes (and examinations) of the Society of Actuaries accrediation program.  Students who are interested in a career in Actuarial Science should consult the Basic Education Catalogue on the Society of Actuaries web page () or the Syllabus of Basic Education on the Casualty Actuaries web site ().  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.
Students must register their intent to complete the requirements with the department before graduation. 

Admission to Certificate
To enroll in the Certificate in Actuarial and Financial Mathematics, students must declare the certificate through Dal Online (https://dalonline.dal.ca>Web for Students > Admissions > Declare Major/Minor/Certificate), and notify the Certificate Coordinator by e-mail.

To graduate with the Certificate, students must apply to graduate with a Certificate at the time they apply to graduate from their degree program.

Certificate Requirements:

1. Completion of a 120 credit hour Major or Honours program in Mathematics and/or Statistics
2. Completion of the following mathematics courses: , , or 2030, , , 
3. Completion of the following statistics courses: , ,  and 
4. Completion of either:

Financial Option: , , and 
OR
Actuarial Option: , , and 

This program is concerned with the development of the core mathematical and computational skills required in science, government and industry. Areas of application include everything from mathematical modeling to operations research to cryptography to software development. You must register your intent to complete the requirements with the department before graduation. 

Admission to Certificate
To enrol in the Certificate in Applied and Computational Mathematics, students must declare the certificate through Dal Online (https://dalonline.dal.ca >Web for Students>Admissions>Declare Major/Minor/Certificate), and notify the Certificate Coordinator by e-mail.

To graduate with the Certificate, students must apply to graduate with a Certificate at the time they apply to graduate from their degree program.

Certificate Requirements:
1. Completion of the 120 credit hour Major or Honours program in Mathematics or an equivalent program

2. Completion of the following mathematics courses: , ,  (or MATH 2030), , , , /, 

3. Completion of at least four of: , , , , , 

4. Completion of at least two of: , , , , 

Additional recommended courses: , , 

Data Analytics is an interdisciplinary field aimed at extracting knowledge from data of various forms. The techniques of data analytics draw heavily from the fields of statistics, computer science, and mathematics.  Students completing the certificate will understand  distinctions among data, information and knowledge, will be able to use the Structured Query Language (SQL) to manipulate relational databases, the R programming language to model data using a variety of machine learning and statistical  models, and will able to assess the performance of predictive models.

Admission to Certificate

To enrol in the Certificate in Data Analytics, students must declare the certificate through Dal Online (>Web for Students > Admissions > Declare Major/Minor/Certificate), and notify the Certificate Coordinator by email.

To graduate with the Certificate, students must apply to Graduate with a Certificate at the time they apply to graduate from their degree program.

Certificate requirements:

• : Differential and Integral Calculus I (or  or )
• : Matrix Theory and Linear Algebra I
• : Matrix Theory and Linear Algebra II
• : Introduction to Statistics (or )
• : Introduction to Data Mining with R
• : Computer Modeling for Scientists (or  or )
• : Introduction to Database Systems
• One of
  • : Bioinformatics
  • : Analysis of biological data
  • : Chemometrics
  • : The process of data science
  • : Time series analysis in economics
  • : Environmental analytics
  • : GIS applications
  • : Ecosystem modelling for aquaculture
  • /: Time series analysis in oceanography and meteorology
  • : Computational methods in physics
  • : Topics in numerical computing
  • : Bayesian data analysis
  • : Applied multivariate analysis
  • STAT 4550: Longitudinal data analysis
  • : Data analysis
  • : Survival analysis