3 years full-time / 4 years full-time with integrated placement year
UCAS Code: G100
Typical offer level
A Level: ABB-AAB
BTEC National Diploma: DDD (including A Level Maths Grade B)
IB: 32 points (including minimum Grade 6 in Maths at Higher Level)
Specific subject requirements
A Level: Maths Grade B
General Studies accepted
GCSE: English Grade C
A suitable combination of two A Level and two AS Level subjects may be accepted
£9,000 (£1,000 during placement year) for UK/EU students. (2013). More on fees
Applicants receiving offers are invited to an open day. Information on visas for international students
Run by the Mathematics Group, an internationally recognised centre of research excellence (rated grade 5 for Research)
Gives students the mathematical ability for high-level careers in finance, biomedical industries and computer science
Opportunity to combine mathematics, computing/IT skills and specialisation in specific areas
Excellent employment prospects.
As the e-revolution becomes more established new tools are required for handling the emerging challenges of the information age. Mathematics requires the use of advanced tools and techniques which provide the principal methods needed for facing the new tasks.
Mathematics and Computing are expected to take an increasingly more significant role in future developments, complementing advances in IT. In today's rapidly changing information age many employers in the most dynamic and well-paid industries have massive demand for graduates with a combination of strong mathematical skills and IT knowledge.
The BSc in Mathematics and Computing provides a unique combination of analytical and computational skills required for an in-depth understanding of new technologies and prepares graduates for high-level careers in the rapidly growing areas of Finance, Computing and telecommunications. The single Honours BSc Mathematics programme also incorporates elements of Computing as well as more traditional applied Mathematics modules.
In the first year of the courses, students study modules in three broad areas: Mathematics, Mathematical Computing and Information Technology.
Computing and Information Technology:
The second year study of Mathematics puts more emphasis on advanced mathematical modules.
Year 3 - Optional placement year
See placement year section or find out more about the Aston placement year.
Plus eight modules to be chosen from the following (options are subject to revision):
You will benefit from our range of teaching methods and learning styles including:
- Lectures, seminars and small group discussions
- Lab exercises and practical classes
- Individual and group projects
- Assessment is by a combination of written exams, project and coursework
For further information, see the programme specification (PDF).
Through its established reputation at postgraduate level in the field the Mathematics Group has built up strong links with major employers ranging from major communication companies to the pharmaceutical industry.
When you take the 4-year integrated placement course you spend your third year in a paid professional placement of direct relevance to your studies. This placement will give you invaluable practical experience in a real work environment and will further enhance your career prospects.
Find out more about placement years at Aston.
Accredited by the Institute of Mathematics and its Applications (IMA).
This course is accredited by the institute of Mathematics (IMA) for the purposes of meeting the educational requirements of Chartered Mathematician designation (subject to training and experience in employment to obtain equivalent competencies to those specified by the QAA for taught masters degrees.
The course has been specifically designed to meet the huge demand for skilled Mathematics graduates in finance and computer science. An external panel from industry has
been closely involved in advising on the content and structure of the course. Graduates may be employed in a broad range of positions; for instance in research and development teams as part of a large company or in start-ups, as trainee analysts and consultants. Graduates may also continue their training in MSc, PhD courses, or pursue teaching and education careers.
In 2005 0% of our graduates in Mathematics were unemployed with over 75% entering employment and around 25% undertaking further study/other training. Typical areas
of employment included finance, IT, education and consultancy.
The mathematics courses are designed to support development outside of the academic discipline to foster and encourage skills required within the workplace.
- In the first year students practise business report writing and presentation skills, developing communication strategies that can be used during the placement year or in the final year projects.
- In the second year presentations and writing skills are developed to include writing and presenting technical documents, as well as engaging students in the issues faced by the scientific community when developing leading-edge research.
- In the final year students undertake an individual research project which is mentored by an academic supervisor and contributes towards a significant portion of the final degree classification. This allows students to demonstrate the life-skills they have learned on the modules, and practised whilst on industrial placement. These include time management, planning, research and report writing.
Employers like mathematics as an academic discipline. By dealing with and communicating complex concepts and ideas it trains the mind in a way that will never become outdated. It allows students to hone analytical skills that are valued by industry across many different sectors.
Amongst the most advanced in British Higher Education, Aston University recently invested £4m in a major upgrade of its campus IT network. The facilities specifically provided for our computing students include a 100-seat PC teaching lab with audio-visual projection facilities and three other labs containing PCs and Macs. Additional labs provide high performance workstations reserved for project work and specialist teaching. In addition, our Programming Support Office is available to help you with computer programming modules.
Prof David Saad
My background is in Physics and Electrical Engineering, with a PhD in Electrical Engineering (neural networks). In 1992 I joined the neural networks group at Edinburgh University, working mainly on theoretical issues. I have worked at Aston University since 1995 and I am currently the Convenor for the Mathematics Subject Group. I teach mathematical methods and partial and differential equations on the mathematics courses. My research interest are: Statistical mechanics of disordered systems, advanced inference in complex systems, Error Correcting Codes and Cryptography, Multiuser communication and Distributing resources in networks.
Dr Bill Cox
My first degree was in Technological Mathematics and my PhD in Mathematical Physics, both from Aston University. After a brief period at Liverpool Polytechnic (Now John Moores University) I returned to Aston as a lecturer in 1975. Originally my main research area was in Quantum Field Theory, and then Electron Transport Theory in semiconductors. After a secondment as Academic Staff Development Advisor in 1990 my main interest has been in teaching and learning, both in Mathematical Education and the training of academic staff. I am currently Staff Development Consultant for the Maths, Stats and OR Network of the Higher Education Academy. I teach first year Transition Mathematics courses, Abstract Algebra and Complex Analysis. I became Senior Lecturer in 2008.
Dr Jort van Mourik
I have undergraduate and PhD Degrees in Physics, from KUL (Katholieke Universiteit Leuven) in Belgium. Prior to my lectureship I was a Post-Doctoral Researcher in Trieste; King's College London and Aston University. I teach probability and statistics in both the first and second years and statistical pattern analysis to second and final years students. My research interests include Graph Coloring and Optimization, Mathematical Analysis of Neural Networks, Glasses and spin glasses, Theory of protein folding.
Dr Alexander Stepanenko
I gained my PhD in theoretical and mathematical physics at the St. Petersburg Nuclear Physics Institute, Russia in 1995. My current research interests include the mathematical modelling of large-scale networks, more specifically studying the congestion phase transition in packet-switched networks and developing novel graph-theoretic abstractions for networks, as well as interdisciplinary research in financial mathematics, such as the modelling of quasi-efficient market in gauge-theoretic framework and the pricing of exotic options in framework of stochastic volatility model. I teach Classical Mechanics and Introduction to Numerical Methods on the mathematics courses.
Undergraduate Admissions Office
+44 (0)121 204 3400