| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time | 12 months | September | GBP 10000 total | GBP 21000 total |
This interdisciplinary Masters degree provides you with a broad background in some mainstream and modern aspects of mathematics and computer science. You'll be introduced to sophisticated techniques at the forefront of both disciplines.
The programme combines teaching and research from the School of Mathematics and the School of Computing. Based on the Schools' complementary research strengths the programme follows two main strands:
- Algorithms and complexity theory
- Numerical methods and parallel computing
You'll have the choice to specialise in one of these strands, gaining specialist knowledge and skills that will prepare you for a wide range of careers. You'll also develop your research skills when you complete your dissertation.
If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.
Course content
It is expected that you will specialise in one of two areas during the course, although this is not essential.
The two strands are:
Algorithms and complexity theory and connections to logic and combinatorics
This concerns the efficiency of algorithms for solving computational problems, and identifies hierarchies of computational difficulty. This subject has applications in many areas, such as distributed computing, algorithmic tools to manage transport infrastructure, health informatics, artificial intelligence, and computational biology.
Numerical methods and parallel computing
Many problems in mathematics, physics, astrophysics and biology cannot be solved using analytical techniques and require the application of numerical algorithms for progress. The development and optimisation of these algorithms coupled with the recent increase in computing power via the availability of massively parallel machines has led to great advances in many fields of computational mathematics. This subject has applications in many areas, such as combustion, lubrication, atmospheric dispersion, river and harbour flows, and many more.
Course structure
These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
Year 1
Optional modules
For more information on typical modules, read Mathematics and Computer Science MSc in the course catalogue
Learning and teaching
Teaching is carried out through a mixture of lectures and smaller group activities such as workshops. Most modules are assessed by a mix of coursework and written examinations. There is also the opportunity to complete a summer project which is individually supervised by a member of staff.
Assessment
The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.
Applying, fees and funding
Entry requirements
A BSc degree with a 2:1 (hons) in mathematics or computer science (with a substantial mathematics component), or equivalent. We will also consider students who hold other degrees with a substantial mathematics component.
We accept a range of international equivalent qualifications.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.
Improve your English
If English is not your first language, you may be able to take a pre-sessional course before you begin your studies. This can help if you:
Our pre-sessional courses are designed with a progression route to the degree programme and are tailored to the subject area. For information and entry requirements, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).
How to apply
Application deadlines
31/07/18 - International
31/08/18 - Home/EU
This link takes you to information on applying for taught programmes and to the University's online application system.
If you're unsure about the application process, contact the admissions team for help.
Documents and information you'll need
Original or certified copies of your transcripts
Original or certified copies of your degree certificateCopy of passport (if applicable)
Letter of sponsorship (if applicable)
Names of two academic references
Original or certified copy of your IELTS/TOEFL results (if applicable)
It may help your application if you include a personal statement and CV.Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.
Admissions policy
Faculty of Mathematics and Physical Sciences Taught Postgraduate Admissions Policy
Fees
UK/EU: £10,000 (total)
International: £21,000 (total)
Read more about paying fees and charges.
For fees information for international taught postgraduate students, read Masters fees.
Additional cost information
There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs
Scholarships and financial support
If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government. Find out more at Masters funding overview.
The School of Mathematics offers a range of scholarships for UK, EU and International students.
Find out more about our Scholarships.
Career opportunities
This MSc will provide you with both technical and transferrable skills. It will also offer you excellent preparation for doctoral research in mathematics or computer science or related subjects. On completion of the degree you can progress onto a wide range of opportunities including:
- PhD in Mathematics, or in Computer Science
- Careers in Computing and Industries which require algorithmic tools, such as transport infrastructure, health informatics, computational biology, artificial intelligence, Internet-related services and products (e.g. search engines).
- Many other careers (e.g. in Finance) where a mathematics background is valued.
In collaboration with both industrial and academic partners, our research has resulted in computational techniques, and software, that has been widely applied. Our industry links are extensive and include companies such as Google, Yahoo, Akamai, Microsoft, and Tracsis, as well as the NHS.
Careers support
We encourage you to prepare for your career from day one. That's one of the reasons Leeds graduates are so sought after by employers.
The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
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If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:
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