Mathematics BSc/MMath | Middlesex University London
Section navigation
Main Baner Image

Mathematics BSc/MMath

Learn about the course below
Code
G100
Start
October 2018
Duration
3 years full-time
Attendance
Full-time
Fees
£9,250 (UK/EU) *
£13,000 (INT) *
Course leader
Matthew Jones

Many recent discoveries are due to the ingenuity of mathematicians, from the invention of the internet to the creation of Facebook to GCHQ operations that save thousands of lives. This mathematics degree will train you to study advanced areas of mathematics and apply them to diverse problems. You'll gain experience in problem solving with an emphasis on industry applications and graduate with the skills and knowledge to advance into diverse careers such as finance and insurance, data science, education, and computing.

Why study BSc/MMath Mathematics at Middlesex University?

This specialist degree develops vital communication skills in a variety of forms (written, web-based, presentation and group working), ensuring you can explain complex maths to a range of audiences. It will also ensure that when you graduate you do so with an excellent grounding in a range of areas of mathematics, and with the skills and competencies to work in the numerous areas where mathematics is applied or into mathematics research.

You will study the broad spectrum of pure maths (algebra, calculus, geometry and logic) and the application of these to a number of areas. Key modules like Problem Solving Methods will help you to develop your ability to solve complex mathematical problems and relate theory to practice. A weekly Engaging in Mathematics session allows you to experience maths in its various forms in an informal setting. Sessions include external speakers, activity sessions, and employability skills development.

This degree is the perfect training for a diversity of careers. In addition to the skills developed as a mathematician employers require graduates with expert communication skills and that's why our course offers a unique model of communications training: 'Communicating Mathematics' trains you to convey complex mathematical language to a number of different audiences in a way that is accessible.

If you apply for our four-year MMath course (which offers advanced study options in disciplines such as financial maths and high level pure maths) you will gain a masters qualification when you successfully complete your undergraduate degree. And, if you apply in Year 1, you can receive funding to cover your postgraduate course fees.

Course highlights

  • The option to take a year-long placement between your second and third years will enhance your employability
  • We have designed our degrees to be flexible, allowing you to join the MMath from the BSc Mathematics at any time up to the end of your second year as long as you achieve high enough grades
  • You will benefit from small class sizes and an emphasis on practical problem solving sessions
  • We encourage our students to publish their project results in our departmental journal
  • Once qualified, your BSc/MMath will enable you to receive Recognition of Prior Learning (RPL) for credits to The Chartered Insurance Institute (CII) professional qualifications frameworks in insurance and financial services
  • As a student of this course you'll receive a free electronic textbook for every module.

What will you study on the BSc/MMath Mathematics?

During your first year, you will study calculus, vectors, logic and probability. The main objective will be to advance your knowledge, improve your confidence and bridge the gap to university. In Year 2, you will explore problem solving methods, programming, algebra, analysis, discrete mathematics and geometry. In your final year you will focus on advanced algebra and real and complex analysis as well as developing your communication skills.

What will you gain?

You will develop your knowledge of mathematics through investigating key topics in algebra and analysis and will learn to work with multi-faceted problems across a range of modules, particularly within Problem Solving Methods. You will gain a comprehensive understanding of the language and culture of mathematics and have an appreciation for the importance of rigorous proof, logical deduction and abstraction. You will graduate with a broad, yet comprehensive knowledge of many theoretical and practical areas of mathematics, with advanced skills in communicating complex ideas.

BSc modules

  • Year 1

    • Vectors and Matrices (30 credits) - Compulsory

      You will learn how to work with vectors in higher dimensions and to understand them from an abstract point of view. Matrices will let you manipulate vectors and spaces of vectors. You will develop the concept of dimension more rigorously.

    • Calculus and Differential Equations (30 credits) - Compulsory

      Building on from your previous learning you will find out how calculus is used to model and solve physical problems. The course will also develop the techniques of calculus to higher dimensions, and you will learn to define rigorously a number of the key concepts.

    • Logic and Structures (30 credits) - Compulsory

      Developing your logical reasoning is important and helps bridge the gap to university mathematics. This module aims to introduce and study concepts such as numbers, sets, functions and other structures in mathematics.

    • Data and Information (30 credits) - Compulsory

      This module introduces you to the theory of probability and applications of mathematics to diverse areas. You will learn to code in this module.

  • Year 2

    • Groups and Rings (30 credits) - Compulsory

      Groups are structures used throughout maths to study symmetry and geometry as well as to develop an abstract understanding of objects that emulate the integers and rational numbers. You’ll be introduced to these structures and you’ll study their properties. You’ll find that from very humble beginnings groups and rings lead to a deep and rich theory.

    • Mathematical Analysis (30 credits) - Compulsory

      The module builds on the ideas introduced in previous modules about rigour in maths. The module defines and studies the basic definition in calculus including the notion of a limit, derivative and continuity. You will develop your ability to question mathematical arguments and to think logically about what definitions mean.

    • Discrete Mathematics and Geometry (30 credits) - Compulsory

      Discrete objects in maths are used to describe many things you use daily in computing and elsewhere. For example when you ask your computer to find a route from your home to university what is it actually doing? In this module you’ll study the theoretical ideas and build up a clearer understanding of their use.

    • Problem Solving Methods (30 credits) - Compulsory

      This module emulates the application of maths in industry and elsewhere. You will learn to approach and solve problems in a numbers of areas from pure and applied mathematics. You will develop software in this module to find a solution to a chosen problem.

  • Year 3

    • Advanced Algebra (30 credits) - Compulsory

      Continuing from the topics introduced and developed previously, this module will look at more advanced subjects in algebra. The module begins with a study of rings and other similar structures. It will culminate in the study of fields and Galois Theory. You can solve a quadratic equation with a formula, what about a cubic, quartic or quintic equation?

    • Real and Complex Analysis (30 credits) - Compulsory

      Following from your Year 2 module on mathematical analysis, this module will continue to develop your understanding of infinite and infinitesimal processes. You will learn what the derivative means in higher dimensions and study measure theory. You will then extend these notions to functions of complex numbers.

    • Communicating Mathematics (15 credits) - Compulsory

      Maths is often called the universal language of science but communicating it can be difficult. With the continuing move to more diverse platforms such as social media this leads to even more challenges in communicating maths. In this module you will look at how maths is communicated, be it to specialists, non-specialists, school pupils or CEOs and how to motivate it for these diverse audiences.

  • Year 3 Optional Modules - Choose three of the following:

    • Project (15 credits) - Optional

      This is your chance to study an area of maths that you’re interested in and write your own report on it. You can choose your topic yourself or from a list given by staff. Your supervisor will guide you through the process and your final output will be in the form of an article.

    • Combinatorics (15 credits) - Optional

      Combinatorics can be seen as the study of interactions and connections between people or objects. Examples of its use range from developing computer architectures to logistic management. In this module you will develop the topics introduced in your Year 2 discrete maths module to better understand these connections and how they are studied.

    • Multivariate Statistics (15 credits) - Optional

      Understanding and recognising patterns in data can be difficult when it comes from many different sources. In this module you will begin to develop the techniques and tools that will enable you to study these kinds of relationships. You will develop a critical view of the pros and cons of the methods and the assumptions being made.

    • Simulation and Decision Making (15 credits) - Optional

      Simulating systems such as queuing times at hospitals, or traffic congestion in towns and cities is one of the most important tools used to inform management decisions. In this module you will be introduced to mathematical simulation and you will learn how to develop models to study systems and improve efficiency.

    • Functional Analysis (30 credits) - Optional

      Functional analysis is the study of how structures made up of sets of functions behave; the subject is at the intersection of algebra, analysis and geometry. In this module you will learn how infinite-dimensional algebraic structures act, what they look like geometrically and some of their properties.

    • Differential Equations (30 credits) - Optional

      Physical systems like pollution in the atmosphere, molecules in a liquid or interactions between planetary systems are all modelled using differential equations. In this module you will continue with the topics introduced in Year 1 and developed in Year 2 to study these equations and their solutions.

MMath modules

  • Year 1

    • Vectors and Matrices (30 credits) - Compulsory

      You will learn how to work with vectors in higher dimensions and to understand them from an abstract point of view. Matrices will let you manipulate vectors and spaces of vectors. You will develop the concept of dimension more rigorously.

    • Calculus and Differential Equations (30 credits) - Compulsory

      Building on from your previous learning you will find out how calculus is used to model and solve physical problems. The course will also develop the techniques of calculus to higher dimensions, and you will learn to define rigorously a number of the key concepts.

    • Logic and Structures (30 credits) - Compulsory

      Developing your logical reasoning is important and helps bridge the gap to university mathematics. This module aims to introduce and study concepts such as numbers, sets, functions and other structures in mathematics.

    • Data and Information (30 credits) - Compulsory

      This module introduces you to the theory of probability and applications of mathematics to diverse areas. You will learn to code in this module.

  • Year 2

    • Groups and Rings (30 credits) - Compulsory

      Groups are structures used throughout maths to study symmetry and geometry as well as to develop an abstract understanding of objects that emulate the integers and rational numbers. You’ll be introduced to these structures and you’ll study their properties. You’ll find that from very humble beginnings groups and rings lead to a deep and rich theory.

    • Mathematical Analysis (30 credits) - Compulsory

      The module builds on the ideas introduced in previous modules about rigour in maths. The module defines and studies the basic definition in calculus including the notion of a limit, derivative and continuity. You will develop your ability to question mathematical arguments and to think logically about what definitions mean.

    • Discrete Mathematics and Geometry (30 credits) - Compulsory

      Discrete objects in maths are used to describe many things you use daily in computing and elsewhere. For example when you ask your computer to find a route from your home to university what is it actually doing? In this module you’ll study the theoretical ideas and build up a clearer understanding of their use.

    • Problem Solving Methods (30 credits) - Compulsory

      This module emulates the application of maths in industry and elsewhere. You will learn to approach and solve problems in a numbers of areas from pure and applied mathematics. You will develop software in this module to find a solution to a chosen problem.

  • Year 3

    • Advanced Algebra (30 credits) - Compulsory

      Continuing from the topics introduced and developed previously, this module will look at more advanced subjects in algebra. The module begins with a study of rings and other similar structures. It will culminate in the study of fields and Galois Theory. You can solve a quadratic equation with a formula, what about a cubic, quartic or quintic equation?

    • Real and Complex Analysis (30 credits) - Compulsory

      Following from your Year 2 module on mathematical analysis, this module will continue to develop your understanding of infinite and infinitesimal processes. You will learn what the derivative means in higher dimensions and study measure theory. You will then extend these notions to functions of complex numbers.

    • Communicating Mathematics (15 credits) - Compulsory

      Maths is often called the universal language of science but communicating it can be difficult. With the continuing move to more diverse platforms such as social media this leads to even more challenges in communicating maths. In this module you will look at how maths is communicated, be it to specialists, non-specialists, school pupils or CEOs and how to motivate it for these diverse audiences.

  • Year 3 Optional Modules - Choose three of the following:

    • Project (15 credits) - Optional

      This is your chance to study an area of maths that you’re interested in and write your own report on it. You can choose your topic yourself or from a list given by staff. Your supervisor will guide you through the process and your final output will be in the form of an article.

    • Combinatorics (15 credits) - Optional

      Combinatorics can be seen as the study of interactions and connections between people or objects. Examples of its use range from developing computer architectures to logistic management. In this module you will develop the topics introduced in your Year 2 discrete maths module to better understand these connections and how they are studied.

    • Multivariate Statistics (15 credits) - Optional

      Understanding and recognising patterns in data can be difficult when it comes from many different sources. In this module you will begin to develop the techniques and tools that will enable you to study these kinds of relationships. You will develop a critical view of the pros and cons of the methods and the assumptions being made.

    • Simulation and Decision Making (15 credits) - Optional

      Simulating systems such as queuing times at hospitals, or traffic congestion in towns and cities is one of the most important tools used to inform management decisions. In this module you will be introduced to mathematical simulation and you will learn how to develop models to study systems and improve efficiency.

    • Functional Analysis (30 credits) - Optional

      Functional analysis is the study of how structures made up of sets of functions behave; the subject is at the intersection of algebra, analysis and geometry. In this module you will learn how infinite-dimensional algebraic structures act, what they look like geometrically and some of their properties.

    • Differential Equations (30 credits) - Optional

      Physical systems like pollution in the atmosphere, molecules in a liquid or interactions between planetary systems are all modelled using differential equations. In this module you will continue with the topics introduced in Year 1 and developed in Year 2 to study these equations and their solutions.

  • Year 4

    • Advanced Topics in Mathematics A and B (30 credits) - Compulsory

      These two modules will allow you to study, in depth, an advanced topic in mathematics or an application of specialist mathematics. The subject of the module, either a contemporary or classical area of mathematics, will change periodically reflecting the interests of staff in the department, and the interests of the students studying it. As an MMath student these two modules give you the chance to experience the dynamic nature of modern mathematics and how it is applied, and serves to illustrate the ever changing character of the subject. This module allows you to encounter cutting edge areas of modern mathematics.

    • MMath Project (30 credits) - Optional

      The MMath project lets you consolidate your learning in a significant piece of independent research. You can either choose your own topic from the mathematical sciences or have one suggested by staff in the department. You will be allocated a supervisor who will guide you in your studies. As with the Reading Course, this module lets you design your programme to cater for your own interests.

    • MMath Reading Course (30 credits) - Optional

      This module allows you to work in small groups studying a substantial topic of advanced mathematics. You will be allowed to choose from a list of possible topics that are described in a body of literature, either in the form of a book or a number of research or other articles. As with the Project, this module will let you design your degree programme to suit your interests.

    • Optional Modules

      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. Module and programme information is indicative and may be subject to change.

  1. Overview
  2. Teaching and learning
  3. Assessment and feedback
  1. UK & EU
  2. International
  3. How to apply
  1. UK & EU
  2. International
  1. Overview
  2. Accreditation and insurance
  • Sabiha Akhtar Uddin

    Mathematics BSc/MMath student

    This year has been really fun and our class has grown into a small community. There are only around 15 of us in the class, so if anyone is stuck on anything we can always get involved and help each other out. With a large group it's hard to get to know everyone, but it's easy for us to all put our heads together to work things out.

    We also get a lot of one-to-one time with our lecturers because of our small class size. With maths if you don't understand something you have to sit and work at it, and if the lecturers are there to help you see the reasoning it is so much better.

    Read Sabiha's full profile

Dr Matthew Jones
Programme Leader and Associate Professor in Mathematics

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 Andreas Albrecht

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 Alison Megeney
Director of Undergraduate Programmes and Associate Professor in Mathematics

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 Thomas Bending
Director of Postgraduate Programmes and Associate Professor in Mathematics

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

    It's an exciting time to be a mathematician, whether you're interested in pure maths or in its applications in areas like computing, business management or the sciences. The prominence of maths and mathematicians has heightened in the last few years with major results like Fermat's Last theorem being finally proved after over 350 years. You may also have heard of the mathematician Perelman, who proved the Poincare conjecture a few years ago that refused the million dollar prize associated with it (hard to believe, I know). This heightened prominence and many other factors have led to an increasing demand for highly qualified mathematicians in a number of diverse careers. The skills you develop as a mathematician, like problem solving and your ability to think abstractly and logically, mean that you are highly sought after in the job market.

    Our BSc and MMath Mathematics courses have been designed with this in mind – they are a mix of traditional maths subjects and modern topics, for example, modules on problem solving and communicating maths. The course aims to develop you as a modern professional mathematician, whether that is in academia or within another career path.

    If you're the kind of person who has realised they have an interest in maths that you would like to pursue to degree level and are looking for a stepping stone to a number of possible careers or into academia, then this course is for you.

    Follow Matt on Twitter

  • Professor Andreas Albrecht

    Mathematics BSc/MMath academic

    In the 70s and 80s, the major driving forces in applied mathematics, particularly in combinatorial optimisation, were the challenging tasks posed by the design of highly integrated circuits (microprocessors, CPUs), but since then, there has been a shift towards computational problems raised by molecular biology and this is where I focus my research.

    The breakthrough in the Human Genome Project at the turn of the century saw the first complete sequencing of human DNA which has led to many more new scientific and medical developments, but along with this came a surprising discovery that the role of proteins (which determine almost all cell functions) only account for a small percentage of the genetic information encoded in DNA, contrary to what was previously thought.

    "This has created a diversity of computational problems requiring applied mathematics to investigate. Among these include: statistical analysis of biochemical data (microarrays, sequencing data), modelling and simulation of RNA and protein folding, establishing different types of interaction networks (RNAs-proteins, proteins-proteins), and a variety of visualisation tasks (for example microarray data, folded structures, interaction networks).

Other courses

Mathematics with Computing BSc/MSci

Start: Autumn 2018

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

KIS information

Back to top

We use Cookies

View our Privacy and Cookie policy

Continue