Overview

The Applied Mathematics and Statistics major is designed to provide mathematical and statistical training for future employment in business, industry or government. It is designed for students who seek to pursue advanced studies of mathematics or statistics as a second major. Students may concentrate on mathematical modelling and applied mathematics, … For more content click the Read More button below.

Contacts

Academic Chair

Structure
24 credit points

Major24 credit points

Admission requirements

Special requirements
Entry requirements (onshore)
English language requirements

Learning outcomes

1.

Acquire an understanding of the breadth and depth of the mathematical sciences, and advanced knowledge of the principles, concepts and methods of Mathematics or Statistics

2.

Construct logical, clearly presented and justified arguments incorporating deductive reasoning

3.

Apply mathematical or statistical principles, concepts and techniques to solve practical and abstract problems, and critically appraise the generality and limits of the solution

4.

Formulate mathematical or statistical models for scientific, natural or technological phenomena or processes

5.

Identify and apply suitable numerical methods for the study of mathematical or statistical processes or problems, and use appropriate software to implement computational analyses in the context of mathematics or statistics

6.

Communicate mathematical or statistical matters effectively and accurately to technical and non-technical audiences in oral or written form in ways that conform to professional standards

7.

Develop effective and respectful teamwork skills with an ability to respond to a diverse range of perspectives and contexts, and the skill to work independently with responsibility for set tasks

8.

Use self-guided learning to tackle problems beyond the current level of knowledge or the current level of problem solving ability

9.

Demonstrate behaviour that conforms to ethical and professional standards in dealing with quantitative data, results and methods, and their dissemination and application in real-world situations

Professional outcomes

Other information