Studying BSc Mathematics with us will open a lot of career doors, whether you want to pursue the subject professionally or join an industry that’s looking for your skills. You can also add a fourth year to your studies and pursue an MMath qualification.
You’ll study a combination of traditional maths alongside modern topics like communicating maths. Lectures will introduce theory while workshop and lab study will develop your ability to apply it in practical settings.
You’ll be taught in highly interactive groups that’ll allow you to explore problems and find solutions in a supportive environment. A series called 'Engaging with Mathematics' brings in professionals to talk to students about possible careers, opportunities available, and all the wonderful ways maths can be applied outside the classroom.
Learning to apply your maths skills in the real world throughout your studies will prepare you for the world of work. One way you’ll do this is by joining staff in different outreach events that bring maths to the general public. In recent years these have included the award-winning SMASHFest and the Skills Show in Birmingham NEC.
Our Problem Solving Methods and Communicating Mathematics modules engage with real-world problems that graduate mathematicians are likely to face. You’ll also get the option to take a year-long placement between the second and third years to further enhance your skills and explore professional interests.
Previous graduates have gone on to study MSc Mathematics at Russell Group universities and pursue other specialist masters. Graduates from this course went on to work in law, accounting, finance, and as mathematicians. A mathematics degree equips you with a whole host of transferable skills that employers find desirable in today’s world of work.
During your course, you’ll get personalised support from your Personal Tutor, Student Learning Assistant, and Graduate Academic Assistant. Their first-hand experience in your subject area means they understand how to best support you.
Sign up now to receive more information about studying at Middlesex University London, including updates on places available in Clearing for 2020 entry.
The course has been designed to support your development as a mathematician. The first year modules will train you to think like a mathematician so that you can learn how mathematics is created and how it is used to solve concrete problems. You will learn how mathematics is a language to express complicated ideas succinctly, and how it is unreasonably good at describing and solving real-world problems
In your second year, this development will continue towards a more rigorous approach. You will learn to think much more rigorously, and you will start to understand some of the more fascinating areas of pure and applied mathematics. You will also learn to apply your learning to find concrete solutions to questions in the module Problem Solving Methods.
In your third year, and fourth year if you choose to take the MMath, you will study an array of specialist mathematics modules that will provide you with the tools to study and understand complex problems and analyse solutions.
Throughout your studies your learning will be assessed with a mixture of coursework and exams as well as presentations, group assignment and reports.
This module aims to provide an introduction to vector spaces and linear maps. The foundations are laid by studying basic manipulations of complex numbers, vectors and matrices. The underlying geometric meanings of these manipulations are emphasised and concrete examples are explored both by hand and with the help of computer software. Once the foundations have been developed, more advanced and abstract notions are studied for a deeper understanding.
This module builds on the topics covered in MSO2110 Groups and Rings. The module begins with a review of the material on rings encountered in the prerequisite and proceeds to build towards a study of fields, culminating in the development of Galois Theory. Students will develop their appreciation of the effect additional axioms have on the structure of rings by learning about commutative rings, Euclidean rings, integral domains, fields and other algebraic objects. In the second half of the module students will extend the work on fields and field extensions to develop Galois Theory.
This module builds on the discrete mathematics introduced in the second year to provide students with a range of methods for analysing and solving combinatorial problems, with applications across mathematics and to computer science, physics and beyond. It explores ideas of graph theory and design theory, and a range of techniques for solving counting problems both by hand and using computing. It also aims to develop students’ analytical and reasoning skills, and their ability to apply familiar techniques in unfamiliar settings.
This module introduces students to the main principles and ideas of functional analysis – a modern branch of mathematical analysis, largely influenced by progress in physics during the 20th century, such as quantum mechanics. The main object of study is a vector space, the elements of which are functions, so that the space is usually infinite-dimensional. Starting from simple geometric objects in vector spaces, the module will gradually introduce ideas from other areas of mathematics, such as topology, differentiation, integration, measure, optimisation, differential and integral equations. Functional analysis will help students to build a unified and beautiful picture about these topics, and achieve deeper understanding of various branches of mathematics and their applications.
There are a range of additional optional modules that you will be able to take during your fourth year that will continue building your knowledge and skills from previous modules to a more advanced level of study.
You can find more information about this course in the programme specification, BSc Mathematics, MMath Mathematics. Optional modules are usually available at levels 5 and 6, although optional modules are not offered on every course. Where optional modules are available, you will be asked to make your choice during the previous academic year. If we have insufficient numbers of students interested in an optional module, or there are staffing changes which affect the teaching, it may not be offered. If an optional module will not run, we will advise you after the module selection period when numbers are confirmed, or at the earliest time that the programme team make the decision not to run the module, and help you choose an alternative module.
Sabiha Akhtar Uddin
Mathematics BSc/MMath student
Dr. Jones studied undergraduate mathematics at Lancaster University and University of Maryland, College Park, USA, before completing his PhD at University College London. He works in complex analysis on Riemann surfaces, functional analysis and operator theory.
Professor Albrecht joined Middlesex in 2012, bringing extensive experience in the field of simulation and modelling. His interests are in applied mathematics in molecular biology. At Middlesex, he has been applying mathematical modelling techniques to study DNA strings, with a particular focus on the impact of microRNAs (short RNA sequences) on cell regulation as mutations have been linked to diseases, including cancer.
Dr. Megeney studied undergraduate mathematics, a masters in stochastic processes, achieving a distinction, and a PhD at University College London. She worked on packing and covering theorems in higher dimensions for her PhD; she has since worked in mathematics education and is interested in the interaction of mathematics and art.
Dr Bending studied mathematics at Cambridge University, achieving an MA and a distinction in Part III before studying for a PhD at Queen Mary and Westfield College, London. Thomas works in combinatorics, graph theory, and finite geometries.
Dr Matthew Jones
Mathematics BSc/MMath Course Leader
Professor Andreas Albrecht
Mathematics BSc/MMath academic
Start: BSc Autumn 2020, MSci Autumn 2021
Duration: BSc: 3 years full-time, 4 years with placement, 6 years part-time, MSci: 4 years part-time, 5 years with placement, 8 years part-time
Code: BSc: G111, MSci: G11A