Applied Mathematics Masters/MSc

Many phenomena in the real world, from biological systems to the financial markets to industrial processes, are too complex to interpret without quantitative models.

Applied Mathematics uses the powerful body of quantitative techniques developed by mathematicians to describe these systems, incorporate data and make predictions; real-world problems also inspire the development of beautiful new mathematics.

There is a fundamental need in both academic research and industry for a new generation of scientists trained to work at the frontiers of mathematics with other disciplines, and who can bring highly-developed mathematical abilities to bear on real-world problems.

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The programme is a 12 month taught masters degree (180 credits) consisting of 100 credits of optional lecture courses, 20 credits of research training and a 60 credit summer project.

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Why study this course

MSc Applied Mathematics is a one year master’s level course at the interfaces of mathematics with science, engineering and industry.  Interdisciplinary applied mathematics in the School of Mathematics at the University of Birmingham takes place in a thriving outward-facing community with specialities including mathematical biology, fluid mechanics, mathematical finance and various industries. 

The School collaborates widely with multiple disciplines, including Biological and Medical Sciences, Chemical Engineering and within industry.  In particular, Birmingham is an emerging centre for multidisciplinary Biological Systems Science research, and is in a unique position, being adjacent to one of the largest super-hospitals in Europe, catering for a highly diverse population.

The programme is specifically tailored to develop students from a strong mathematics background into becoming genuinely multidisciplinary scientists. You will have the opportunity to develop your mathematical skills, whilst at the same time being trained in solving real-world problems and working in a team. You will learn how to diversify your skills into other fields, and how to work with research leaders and other students from different disciplines.

Modules

This course consists of 180 credits. 

Core modules:

  • Research Skills - 20 credits
  • Research project in Applied Mathematics - 60 credits

Optional modules

Select 100 credits of optional modules. Example optional modules are listed below. Subject to availability.

  • Topics in Applied Mathematics - 20 credits
  • Mathematical biology I - 10 credits
  • Mathematical biology II - 10 credits
  • Modelling with partial differential equations - 10 credits
  • Methods in partial differential equations - 20 credits
  • Game theory - 10 credits
  • Numerical methods II - 10 credits
  • Perturbation theory and asymptotics - 10 credits
  • Applied nonlinear dynamical systems - 10 credits
  • Introduction to quantitative finance - 10 credits
  • Exotic options, bonds and further quantitative finance - 10 credits
  • Advanced quantitative finance - crashes, volatility, multiple assets and hedging - 10 credits
  • Numerical linear algebra with applications - 10 credits
  • Continuum mechanics - 20 credits
  • Nonlinear waves - 20 credits
  • Reaction-diffusion theory - 20 credits
  • Medical statistics - 20 credits

The course is assessed by a mixture of written examinations (usually 90%, taking place in May/June) and coursework, typically involving written exercises, short projects and computer practicals. Please note that not all optional modules may be available.

The summer research skills project involves working closely with a research supervisor to produce a substantial dissertation and an oral presentation. Additional assessment will require participation in problem-solving workshops and peer group learning in order to prepare you for ‘real life’ work as a research scientist.

Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.

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Fees and funding

Annual tuition fee for 2018/19:

£9,000 for UK/EU students
£16,290 for international students
Learn more about fees and funding.

Scholarships and studentships

We offer a range of postgraduate scholarships for taught programmes and research opportunities to ensure the very best talent is nurtured and supported at postgraduate level.

Additional scholarships can be found in the funding database.

Contact the department for further information.

Entry requirements

2.1 Honours degree in mathematics or programmes with advanced mathematical components, including physics and some engineering subjects. Learn more about entry requirements

International students

We accept a range of qualifications from different countries – learn more about international entry requirements. Standard English language requirements apply.

How to apply

International students requiring visas

Monday 2 July 2018 is the application deadline for international students who require a visa to study in the United Kingdom. We are not able to consider applications for 2018 made after this date; a new application should be made for September 2019. Applications will reopen for 2019 entry by 21 September 2018.

Before you make your application

You may wish to register your interest with us to receive regular news and updates on postgraduate life within this Department and the wider University.

Making your application

When clicking on the Apply Now button you will be directed to an application specifically designed for the programme you wish to apply for where you will create an account with the University application system and submit your application and supporting documents online. Further information regarding how to apply online can be found on the How to apply pages

Apply now

In the Autumn and Spring semesters, you will take masters-level courses in both advanced applied mathematics in addition to the core research and team-working skills needed for your career. In the summer you will undertake a research project, working on problems drawn from biosciences, systems biology, chemical engineering or medicine, alongside developing your mathematical abilities.

This will provide directly relevant training for a career in academic, industrial or clinical research, for example biotechnology, industrial engineering or the pharmaceutical industry.

A key component will be training specifically in multidisciplinary research and communication, a vital skill for whichever career path the MSc leads you to. 

Assessment methods

The course is assessed by a mixture of written examinations (usually 90%, taking place in May/June) and coursework, typically involving written exercises, short projects and computer practicals. Please note that not all optional modules may be available.

The summer research skills project involves working closely with a research supervisor to produce a substantial dissertation and an oral presentation. Additional assessment will require participation in problem-solving workshops and peer group learning in order to prepare you for ‘real life’ work as a research scientist.

Career Opportunities

This course is tailored to train students for careers in scientific research, and for employment in a wide range of industrial contexts, for example biotechnology, industrial engineering or the pharmaceutical industry. There is a considerable need for scientists with a strong mathematical and computational background who can communicate with experimental scientists; this MSc will provide you with specialised training, and through your research skills project, evidence that you can work in this multidisciplinary context.

Further transferrable skills developed through this course include team-working, oral and written presentation, problem-solving and time-management, particularly developed through the summer research skills project. Additional careers support is available through the School of Mathematics and from the University's career support team.