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Mathematics MMath

University Park Campus, Nottingham, UK

Course overview

Are you curious about how advanced techniques in mathematical modelling are used? Do you want to learn about insights from the latest mathematical research?

During this MMath you will cover these topics, learning from dedicated mathematicians. Our degree gives you the chance to learn more about the exciting research our academics are working on, whilst giving you the knowledge and skills to carry out your own research. You'll develop your skills in problem solving and analysis. At the same time, the course will enable you to enhance and develop your transferable skills in project work, group study and presentations.

 

Indicative modules

Mandatory

Year 1

Algebra

Mandatory

Year 1

Applied Mathematics

Mandatory

Year 1

Core Mathematics

Mandatory

Year 1

Probability and Statistics 1

Mandatory

Year 2

Complex Analysis

Mandatory

Year 2

Real analysis

Optional

Year 2

Algebra and Number Theory

Optional

Year 2

Classical and Quantum Mechanics

Optional

Year 2

Differential Equations 1

Optional

Year 2

Probability 3

Optional

Year 2

Probability and Statistics 2

Optional

Year 2

Scientific Computation

Optional

Year 2

Statistics 3

Optional

Year 2

Vector Calculus and Electromagnetism

Mandatory

Year 3

Mathematics Group Projects

Optional

Year 3

Advanced Quantum Theory

Optional

Year 3

Applied Statistical Modelling

Optional

Year 3

Coding and Cryptography

Optional

Year 3

Communicating Mathematics

Optional

Year 3

Discrete Mathematics and Graph Theory

Optional

Year 3

Electromagnetism

Optional

Year 3

Fluid Dynamics

Optional

Year 3

Game Theory

Optional

Year 3

Mathematical Finance

Optional

Year 3

Mathematical Medicine and Biology

Optional

Year 3

Multivariate Analysis

Optional

Year 3

Optimisation

Optional

Year 3

Relativity

Optional

Year 3

Scientific Computation and Numerical Analysis

Optional

Year 3

Statistical Inference

Optional

Year 3

Stochastic Models

Mandatory

Year 4

Mathematics Dissertation

Optional

Year 4

Advanced Financial Mathematics

Optional

Year 4

Techniques for Differential Equations

Optional

Year 4

Algebraic Number Theory

Optional

Year 4

Black Holes

Optional

Year 4

Combinational Group Theory

Optional

Year 4

Computational Applied Mathematics

Optional

Year 4

Differential Geometry

Optional

Year 4

Financial Mathematics

Optional

Year 4

Introduction to Quantum Information Science

Optional

Year 4

Machine Learning and Inference for Differential Equations

Optional

Year 4

Quantum Field Theory

Optional

Year 4

Scientific Computing and C++

Optional

Year 4

Statistical Machine Learning

Optional

Year 4

Time Series and Forecasting

Optional

Year 4

Topics in Biomedical Mathematics

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About modules

The above is a sample of the typical modules we offer, but is not intended to be construed or relied on as a definitive list of what might be available in any given year. This content was last updated on Thursday 13 June 2024.

You will broaden and deepen your knowledge of mathematical ideas and techniques using a wide variety of different methods of study. Teaching is predominantly in-person, supplemented by online methods (such as flipped learning) where appropriate.

In both academia and the wider world of work, mathematics has become a collaborative discipline, and our degree programme takes this into account. As well as more traditional individual study methods, where you work on challenging mathematical problems, you will also collaborate with other students in group problem solving sessions. You will write about your work in reports and present your findings to your study group.

Here’s just some of the changes we have introduced to the degrees to ensure you get the most out of your mathematical learning:

  • Interactive classes
  • Practical applications
  • Assessment by coursework and exams
  • Group project

Teaching methods

  • Computer labs
  • Lectures
  • Tutorials
  • Problem classes
  • Seminars
  • Workshops
  • Placements

Years one and two

60% of the first and second years are assessed by examination, whilst the remaining marks are gained from coursework, computing assignments and small-scale group projects.

Years three and four

Subsequent years will be assessed using a combination of examinations, coursework, computing assignments, group projects and presentations. The specific combination of learning activities will depend on your choice of modules and will be aligned with the topics covered.

The first year is a qualifying year but does not count towards your final degree classification. In year two the assessments will account for 20% of your final mark with years three and four accounting for 40% each. In the fourth year you will do an assessed oral presentation as part of the final year dissertation.

Students require 55% at the first attempt in the second year to progress on this programme. Students who do not achieve this will automatically be transferred to BSc Mathematics.

You will be given a copy of our marking criteria which provides guidance on how your work is assessed. Your work will be marked in a timely manner and you will have regular opportunities to give and receive feedback on your progress with your tutor and lecturers.

Assessment methods

  • Coursework
  • Group project
  • Poster presentation
  • Research project
  • Written exam
  • Dissertation
  • Presentation

The majority of modules are worth 10 or 20 credits. You will study modules totalling 120 credits in each year. As a guide one credit equates to approximately 10 hours of work. During the first year, you will typically spend approximately:

  • 15 hours each week in lectures and interactive learning sessions
  • 2 hours each week in mathematical skills workshops
  • 1 hour each week in a tutorial with your personal tutor
  • 1 hour each fortnight in student-led academic mentoring Peer-Assisted Study Support (PASS)

You can attend drop-in sessions each week up to a maximum of two hours and the remaining time will be spent in independent study.

In later years, you are likely to spend up to 15 hours per week in lectures and workshops subject to your module selection.

In your first year you will meet with your personal tutor every week during term time. In small groups of 5-6 students, you'll run through core topics and practice working together in a group to solve problems and communicate mathematics effectively.

All of our modules are delivered by lecturers or professors. PhD students sometimes support problem classes and computing workshops in their areas of expertise. Lectures in the first two years often include at least 200 students but class sizes are much more variable in the third year subject to module selection.

Mathematics is a broad and versatile subject leading to many possible careers. Skilled mathematicians are found in a variety of organisations, in lots of different sectors.

Our graduates are helping to shape the future in many sectors including data analysis, finance and IT. Many work in science, engineering or consultancy, others pursue careers within government departments. Some graduates choose a career in mathematical research.

The knowledge and skills that you will gain during this degree, can typically lead to roles working as:

  • Actuarial analyst
  • Data analyst
  • Financial analyst
  • Junior software consultant
  • Leading aircraft engineering technician
  • Maths teacher
  • Tax consultant
  • Trainee operational meteorologist

Read our alumni profiles for the sort of jobs our graduates go on to do.

Graduate destinations include:

  • Capital One
  • KPMG
  • Deloitte
  • Boots
  • Experian
  • HMRC
  • Office for National Statistics
  • The Met Office

Further study

Each year some students choose to stay at Nottingham and join our lively group of postgraduate research students.

Average starting salary and career progression

86.40% of undergraduates from the School of Mathematical Sciences secured employment or further study within 15 months of graduation. The average annual salary for these graduates was £27,490.

HESA Graduate Outcomes (2017-2021 cohorts). The Graduate Outcomes % is calculated using The Guardian University Guide methodology. The average annual salary is based on graduates working full-time within the UK.

Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take.

Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.

Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.

The University of Nottingham is consistently named as one of the most targeted universities by Britain’s leading graduate employers (Ranked in the top ten in The Graduate Market in 2013-2020, High Fliers Research).

I am currently on the Data Graduate scheme at Eurostar. I am working with the engineering teams on looking at what can be done with the fault data we have on the trains. I am looking at how we can model how many customers are affected by a particular fault.

Sarah Wardle

MMath Mathematics, graduated 2019

Course data

Open Day June 2022