Mathematical Sciences - BSc (Hons)

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.

Course details

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.
  • Mode of study: 2 -3 days campus
  • Intake: September , January
  • Course length: 3-4 years
  • Course fee: £9,250 per year
  • Location: London

London Metropolitan University

Course overview

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.

You can get a taste for life at our School of Computing and Digital Media by taking a look at our showcase of recent student work.


Entry requirements

a minimum of grades CDE in three A levels or BC in at least two A levels (or a minimum of 72 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma/Diploma, Advanced Diploma, Progression Diploma, Access to HE Diploma with 60 credits)

GCSE English and Mathematics at grade C/grade 4 or above (or equivalent)

What the students say

I have decided to do this course because I love mathematics and this course has given me the opportunity to deepen this love. I am able to study modules that I enjoy with other students who share the same interests as me. There are friendly teachers, well-equipped labs and the library staff are very helpful and encourage me to explore more fields of mathematics.


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.

  • 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)
  • 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)
  • 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)