You’ll learn how to apply mathematical processes in problem solving, developing arguments with appropriate conclusions and an evaluation of their limitations. You’ll also formulate complex problems and analyse the results in context. You’ll develop these skills through learning activities such as problem solving classes, case studies, data-driven analysis and independent research and study.
All mathematics and computing modules will have presence on the University’s virtual learning environment. Apart from standard information such as modules, staff contact details, and the surgery/office hours, it will also, where appropriate, give you access to a system that will allow you to submit your assessment online, marking and feedback; online quizzes, reusable learning objects, e-portfolios and social networking tools.
Later in the course, specific local software will be used such as computer algebra packages (MAPLE), SQL, ORACLE and programming language (eg Python) to enhance your learning.
The course is designed to provide students with expertise in a range of mathematical methods and the ability to solve problems. These skills will make you valued in the work place, and assist with future employment, or equip you for further study.
You’ll be assessed through tests, exams, essays, individual and group research projects, and a final dissertation with regular supportive feedback.
The modules listed below are for the academic year 2018/19 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.
Year 1 modules include:
- Calculus and Linear Algebra (core, 30 credits)
- Data Analysis and Financial Mathematics (core, 30 credits)
- Mathematical Programming (core, 30 credits)
- Mathematical Proofs and Structure (core, 30 credits)
Year 2 modules include:
- Computational Mathematics (core, 30 credits)
- Differential Equations (core, 15 credits)
- Further Calculus (core, 30 credits)
- Project Management (core, 15 credits)
- Statistical Methods and Modelling Markets (core, 30 credits)
Year 3 modules include:
- Academic Independent Study (core, 15 credits)
- Financial Modelling and Forecasting (core, 30 credits)
- Mathematical Modelling (core, 30 credits)
- Work Related Learning II (core, 15 credits)
- Algebra and Analysis (option, 30 credits)
- Cryptography and Number Theory (option, 15 credits)
- Error Correcting Codes (option, 15 credits)