silhouette of two people looking at equations on a projector screen.

MMath

Mathematics

Please note the tariff points stated for this course are indicative. The tariff points for 2018 will be published by August 2017.

About this course

Entry year:
2018/19
Course code:
G102
Applications:
UCAS
Level:
Undergraduate
Tariff points:
120
Department:
Engineering Design and Mathematics
Campus:
Frenchay
Duration:
Four years full-time, five years sandwich
Delivery:
Full-time
Programme leader:
Dr Deirdre Toher
Key fact:
Gain the skills needed to make an immediate impact in career areas such as research, data science, finance, government, health and mathematical modelling.

Page last updated 27 July 2017

Introduction

Why study MMath Mathematics?

A central and important component of human culture, mathematics helps us solve a wide range of 21st century problems. As well as supporting innovation and progress in science, engineering, technology, finance and economics, it aids organisational decision-making. This is through modelling and predicting outcomes - from airport terminal design, infectious disease management and network queueing problems.

This integrated Masters course will equip you with knowledge of advanced mathematical and statistical methods along with the skills to use them in today's increasingly complex world. You will develop computational expertise, coding skills, physical and biological modelling skills, and become adept at statistical analysis and research. Throughout the course, you will be encouraged to apply your knowledge to a variety of real world problems and develop your ability to put this into practice through industry-relevant case studies and project work.

Research-led study

The final Masters level year provides a deepening understanding of relevant concepts and has been informed by current research interests of the Mathematics staff. The course provides an excellent preparation for a research-based career or for those considering going on to Doctoral study.

Preparing for your future

At UWE Bristol, we're focused on enhancing your employment potential. This career-focused course offers an optional placement year, giving you the opportunity to gain real world experience, and benefit from all the insights and perspective this brings.

As a graduate from the course with solid mathematical knowledge and well-rounded professional skills, you'll be ready to step into a variety of roles across many sectors. These include research, data science, finance, economics, health, the Civil Service, logistics, mathematical and statistical modelling.

Structure

Content

Each year of study consists of a number of compulsory modules. In your second and third years you will also have a choice of optional modules to deepen your knowledge in particular areas of interest.

Year one

You will study the following compulsory modules:

  • Sets, Functions and Linear Algebra
  • Calculus and Numerical Methods
  • Statistical Reasoning
  • Modelling and Optimisation.

Year two

You will study the following compulsory modules:

  • Mathematical Methods
  • Statistical Modelling
  • Algebra, Combinatorics and Graphs.

In addition, you will study two of the following optional modules:

  • Mathematical Statistics
  • Complex Variables
  • Operational Research
  • Coding Theory and Applications.

Placement year

We recommend that you take the opportunity to complete a year-long placement in industry or research. However, this is not necessary and you will be able to enter the third year immediately after Year two.

Year three

You will study the following compulsory modules:

  • Dynamical Systems
  • Numerical Analysis.

In addition, you will study one of the following modules:

  • Mathematics, Statistics and Operational Research Project A
  • Mathematics, Statistics and Operational Research Project B.

As well as this, you will select Mathematics optional modules (according to credit requirements):

  • Financial Mathematics
  • Fluid Dynamics
  • Applied Algebra and Geometry
  • Decision Modelling.

In addition, you will study one of the following Statistic optional modules:

  • Statistical Research Methods
  • Multivariate Statistical Modelling.

Final year

You will study the following compulsory modules:

  • Data Science
  • Mathematical Biology
  • Computational Mathematics
  • Stochastic Processes
  • Networks and Graphs
  • Mathematical Sciences Case Studies

The University continually enhances our offer by responding to feedback from our students and other stakeholders, ensuring the curriculum is kept up to date and our graduates are equipped with the knowledge and skills they need for the real world. This may result in changes to the course. If changes to your course are approved, we will inform you.

Learning and Teaching

The course is delivered using a variety of teaching tools, including lectures and associated tutorials or pc-lab workshops, flipped-class sessions, group work exercises, seminars and practice based learning.

Additionally, there will be contributions by practitioners from industry, giving you invaluable insights into real world practices, challenges and issues.

You will work independently for the majority of the course, with group coursework scheduled for years one and two.

Our mathematics and statistics lecturers always receive high praise for their approachability, friendliness and enthusiasm for the subject and have always scored highly in the National Student Survey. Our espressoMaths drop-by station offers daily support and advice to all students on an informal, one-to-one basis.

Weekly MathsArcade sessions provide additional support in the form of a forum in which students and staff can meet to discuss issues arising from particular modules, from the course as a whole, and from mathematics in general.

For more details see our full glossary of learning and teaching terms.

Study time

Lectures, tutorials, workshops, seminars, group project work and tutoring will account for 12 hours of contact time each week. As a full-time student, you will be expected to spend at least as much time again in essential independent study and preparation for assessments.

Assessment

Assessment is mainly by means of examinations and coursework. You will also be assessed by written and oral presentations of case studies and project work. Some modules also use online e-tests as a part of their assessment portfolio.

For more detail, see our full glossary of assessment terms.

Features

Placements

Students who do a work placement are more likely to graduate with a better degree and get higher quality work on graduation.  So in addition to helping hone your professional skills, industry knowledge and network, a placement will make you highly employable on graduation.

Regional organisations including the Office of National Statistics (ONS), Higher Education Funding Council for England (HEFCE) and TSB often provide work placements for our students. By undertaking placements in their preferred field, students get valuable experience applying Mathematics. They also develop vital skills analysing large datasets, and learning new methods and software.

Study year abroad

As an alternative to an industrial placement, there may be opportunities to undertake a study year abroad where courses are taught in English.

Study facilities

Throughout your course, you will study in and have access to modern facilities and excellent resources.

  • Conduct group work or individual study in our Mathematics Resource Centre, which is a dedicated space for Mathematics and Statistics students.
  • Analyse data, run simulations and solve problems using industry-standard software in our large computer labs.
  • Discuss subject and course-related issues and ideas with students and staff at weekly MathsArcade sessions.

Find out more about the facilities and resources UWE Bristol has to offer.

Careers

Careers / Further study

This integrated Masters degree course will provide you with the knowledge and skillset needed to embark on a career in research or commercial organisations.

The Masters level content faces towards careers involving the use of large or complex data sets either in the modelling of physical systems or the processing and analysis of data within business or government organisations.

Through developing advanced computational skills, you'll be well placed to compete for roles in IT and related areas where the ability to develop and implement algorithms and software are highly valued.

Award-winning Careers Service

Our award-winning careers service helps you develop your employment potential through career coaching, a vacancy service for internships, placements, jobs, global opportunities, volunteering and community activity. It also offers support for entrepreneurial activity and access to employer events.

Creating employable students

UWE Bristol places strong emphasis on employability and skills development at every level. Through work placements, volunteering, study abroad and initiatives nurturing talent and innovation, you will have opportunities to gain valuable real world experience, allowing you to graduate with diverse career opportunities and a competitive place in the job market.

Visit our Employability pages to find out about careers, employers, real world experience and what our students are doing six months after graduating.

Fees

Full time course

FeesAmount (£)
Home/EU-Full Time-Annual (Per Year) Fee9500
Home/EU-Full Time-Module Fee (15 Credit)1188
International-Full Time-Annual (Per Year) Fee12750
International-Full Time-Module Fee (15 Credit)1594
Offshore-Full Time-Annual (Per Year) Fee9500
Offshore-Full Time-Module Fee (15 Credit) 1188

Additional Costs

FeesAmount (£)
Additional Course Costs - Full Time - Home/EU - Indicative Maximum Cost Per year150

Supplementary fee information

Further information about fees and funding.

Entry

Typical offers

  • Tariff points: 120
  • GCSE: For all applicants, Grade C or above, or Grade 4 under newly reformed GCSE grading, in English Language, or equivalent. Please note the University does not accept Level 2 Key Skills, Functional Skills or Certificates in Adult Numeracy and Literacy as suitable alternatives to GCSEs.
  • A-level subjects: Grade A or A* in Mathematics. Points from A-Level General Studies and AS-Level subjects (not taken on to full A-Level) can be included towards the overall tariff. You must have a minimum of two A-Levels.
  • Specific subjects: Maths requirement can also be met by the Cambridge Pre-U Mathematics at Merit 3.
  • EDEXCEL (BTEC) Diploma: GCSE Maths Grade B or above, or Grade 5 under newly reformed GCSE grading. BTEC Diploma must include Merit in one of the following units: Further Maths for Technicians; Further Maths for Construction and the Built Environment. Please list the units that you are taking in your application.
  • Access: Achievement of the HE Diploma; to include 15 Level 3 credits at Distinction in Mathematics (before you apply, ask us which Maths units you need to do) and 15 level 3 credits at Merit in another subject. Please list the units you are taking in your application.
  • Baccalaureate IB: To include a minimum grade of 6 in higher level Mathematics.

Entry requirements

If you don't meet the entry requirements of this course, you may be eligible for the BSc Mathematics or BSc Mathematics (with Foundation Year).

Please read the general information about entry requirements.

For further information

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