📖Program Curriculum
This course has a common first.
In the first, the curriculum is shared across related courses allowing you to gain a broad grounding in the discipline before going on, in the second and third, to specialist modules in your chosen field.
We want your degree to fit around you, so upon successful completion of your first, you could swap degrees with another course in your common first (subject to meeting progression requirements).
Common first-year courses:
Mathematics (Hons)Physics and Mathematics (Hons)
Modules
Calculus - 20 credits
Algebra - 20 credits
Programming 1: Concepts and Algorithms - 20 credits
Probability and Statistics - 20 credits
Mechanics and Numerical Methods - 20 credits
Mathematical Case Studies - 20 credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
In the second you will develop the mathematics and statistics which you started in one concentrating further on a core of theoretical and applicable mathematics, from linear algebra and further calculus, through ordinary and partial differential equations to real analysis and a block of bespoke modules on statistics.
Modules
Further Calculus and Complex Analysis - 20 credits
Linear Algebra and Differential Equations - 20 credits
Statistical Computing - 20 credits
Partial Differential Equations and Analytical Mechanics - 20 credits
Real Analysis - 20 credits
Linear Statistical Models - 20 credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement2 can often be beneficial. Work placements usually occur between your second and final of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.
If you choose to do a work placement, you will pay a reduced tuition fee3 of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement.
Modules
UK Work Placement – 0 credits
International Study/Work Placement – 0 credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
Year three aims to bring you to the level to enter the world of work by consolidating your knowledge and skills from one and two. You will develop more advanced knowledge and skills to do with: number theory and cryptography, statistical methods, and financial mathematics, amongst others.
Modules
Number Theory and Cryptography - 20 credits
Statistical Methods for Data Science - 20 credits
Machine Learning - 20 credits
Advanced Topics in Statistics - 20 credits
Project- 20 credits
Optional modules
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
