Brighton, University of

At a Glance

In Depth

Why Study Maths at Brighton University

Mathematics graduates are sought after for their highly developed analytical skills and capacity to apply their knowledge to a wide range of problems relevant to modern industry and commerce. This course is a carefully selected blend of theory and practical applications which prepares students for specialist professional employment.

Our undergraduate programme includes the option to combine mathematics with finance, or business. Across all courses for the first two years, the emphasis is on developing essential knowledge and techniques in mathematics and statistics. This provides a solid foundation for later specialisation in the final year.

Core mathematical and statistical skills can be applied across a wide spectrum of employment opportunities including:

  • Finance
  • Consultancy
  • Actuarial work
  • Software engineering
  • Project management
  • Medical and industrial statistics
  • Government.

Graduates also progress to postgraduate study and research, and teacher training courses.

In addition to core skills you will also develop advanced analytical skills, teamwork, communication, report writing and presentation skills.

Students are supported by staff with extensive research and consultancy expertise. The growth of information technology and the power of the consumer have resulted in an increasing need to collect and analyse information and our students graduate with the specialist skills required by employers in a wide variety of sectors. By the time they graduate, our students will have developed competence in a number of specialist software packages (see below) used in statistical analysis, operational research and mathematical modelling.

Our relatively small size (we take around 70 new students every year) means we are able to quickly get to know our students by their first name. Our “open door” policy allows students to contact staff when they need to. The good rapport between staff and students is one of the distinctive features of our department.

Teaching

Course structure

For the first two years of the course, the emphasis is on developing essential knowledge and techniques in mathematics. This provides a solid foundation for later specialisation in the final year. There is an opportunity for students to opt for a four-year sandwich course which involves undertaking a paid work placement before the final year.

Areas of study

Fundamentals of mathematics are taught alongside topics such as operational research, statistics and quantitative methods. A wide range of modules allows the exploration of specific applications and more detailed theoretical study. The focus is on the application of mathematics and how various mathematical and statistical techniques can be used to solve specific problems.

Sophisticated computer software including SAS, Minitab, Lindo and Maple is used for modelling, computer algebra and statistical analysis. The strong emphasis on the skills of teamwork, communication, report writing and presentation makes Brighton mathematics graduates highly attractive to modern employers.

Syllabus

  • Applications of Mathematics
  • Applications of Statistics
  • Discrete Mathematics
  • Linear Algebra
  • Abstract Algebra
  • Mathematical Analysis
  • Probability and Statistics
  • Numerical Analysis
  • Operational Research
  • Project

Optional placement year

Final year options may include:

  • Mathematics of Finance
  • Time Series and Forecasting
  • Medical Statistics
  • Statistical Modelling
  • Stochastic Methods
  • Advanced Operational Research
  • Decision Support
  • Finite Element Modelling
  • Abstract Algebra
  • Foundations of Mathematics
  • Mathematics: The Wider Context
  • Communicating Mathematics
  • Topology
  • Graphs Theory and Applications
  • Partial Differential Equations
  • Functions of a Complex Variable
  • Non-linear Optimisation

Research

The School of Computing, Engineering and Mathematics research centre is a community of research staff and students whose interests lie in the effective design, application and use of technology in the contexts of information, communication, aesthetics and knowledge, with a broad spectrum of perspectives ranging from human-centred approaches to formal mathematical modelling, to generating new knowledge of the structure of nuclei and engineering products and design.

The research activity of our school is organised around the following research centres and groups:

  • Sir Harry Ricardo Research Centre
  • Nuclear Physics Research Group
  • Computational Intelligence
  • Computational Mathematics
  • ICT and Cultural Heritage
  • Interactive Technologies
  • Natural Language Technology
  • Social Informatics
  • Visual Modelling
  • Applied Statistics

Employability

Core mathematical skills can be applied across a wide spectrum of employment opportunities including finance, consultancy, actuarial work, software engineering, project management, medical and industrial statistics, and government. Graduates also progress to postgraduate study and research.

Visit our Careers Centre website