Why study this course?
If you love mathematics but have missed out on formal qualifications, this course will help you develop knowledge and skills in your areas of interest. You’ll enhance your problem-solving, mathematical reasoning, statistics, research and IT skills.
More about this course
This course gives you the chance to build on the areas of mathematical science that you’re interested in by offering a wide variety of optional modules. Choose from topics such as financial mathematics, coding theory, and algebra and analysis.
You’ll gain a broad knowledge of the fundamentals of mathematics, as well as the skills to apply your knowledge to a variety of contexts. You’ll develop problem-solving skills, IT proficiency and research techniques, as well as learning about the ways maths might be used in the workplace.
Professional accreditation
Accredited by the Institute of Mathematics and its Applications (IMA) for the purpose of meeting in part the educational requirement for chartered status.
Accreditation of Prior Learning
Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course.
Modular structure
The modules listed below are for the academic year 2022/23 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:
Data Analysis and Financial Mathematics (core, 30 credits)
Logic and Mathematical Techniques (core, 30 credits)
Mathematical Programming (core, 30 credits)
Mathematical Proofs and Structure (core, 30 credits)
Year 2 modules include:
Calculus and Linear Algebra (core, 30 credits)
Computational Mathematics (core, 30 credits)
Differential Equations (core, 15 credits)
Project Management (core, 15 credits)
Discrete Mathematics and Group Theory (option, 30 credits)
Statistical Methods and Modelling Markets (option, 30 credits)
Year 3 modules include:
Academic Independent Study (core, 15 credits)
Further Calculus (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)
Financial Modelling and Forecasting (option, 30 credits)
Where this course can take you
You’ll graduate this course with skills in mathematics, statistics, operational research and IT – all of which are highly sought after by employers in a number of sectors. Previous graduates have gone on to roles such as analysts and financial advisors.
You’ll also have the opportunity to study modules that are particularly relevant in the workplace, such as mathematical modelling, simulation and data mining.
This course is also excellent preparation for postgraduate study. Previous students have gone on to enrol on the PGCE in Secondary Mathematics Teaching course, and become secondary school teachers.
