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MSc Applied Mathematics

University of Birmingham

Most things in the real world are complex, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress. This Applied Mathematics MSc will equip you with the tools to understand many of these systems.

By developing, analysing and interpreting mathematical models, we gain insight into complex processes and a framework for interpreting experimental data.

Today, there is an increasingly urgent need, in both research and industry, for a new generation of scientists with advanced applied mathematics skills, alongside an ability to absorb information from other disciplines and communicate with other researchers. This programme is designed to develop all of these specific and transferable skills, making you an attractive prospect for employment or further study.

Why study Applied Mathematics Masters at Birmingham?

  • 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.
  • The internationally recognised School of Mathematics collaborates widely with multiple disciplines and industries
  • Learn from world leaders in their fields
  • Obtain a qualification that is respected the world over and make you an attractive prospect in a very competitive job market

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.

University Careers Network

Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.

Our unique careers guidance service is tailored to your academic subject area, offering a specialised team (in each of the five academic colleges) who can give you expert advice. Our team source exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.

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Modules

  • Postgraduate Taught Knowledge Exchange Pathway - 60 credits
  • Research Project in Applied Mathematics - 60 credits
  • Advanced Mathematical Modelling
  • Advanced Mathematical Biology
  • Advanced Mathematical Finance
  • Applied Mathematical Analysis
  • Continuum Mechanics
  • Mathematical Finance
  • Medical Statistics
  • Methods in Partial Differential Equations
  • Nonlinear Waves
  • Numerical Methods and Numerical Linear Algebra
  • Requirements

    Listed below are the documents required to apply for this course.
    £27,270 Per Year

    International student tuition fee

    1 year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time