BSc Mathematics with Computing

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This degree is run by an internationally recognised centre of research so you can be assured you’re getting top-quality tuition at Aston University."

Shabnam Bibi
BSc Mathematics with Computing 

Entry requirements

ABB – BBB (or equivalent) including mathematics 

Our graduates have been employed in a broad range of positions: research and development teams as part of a large company or in start-ups, analysts and consultants, finance, IT, education and engineering. 

Mathematics at Aston has an overall 89% satisfaction score in the 2018 NSS
Integrated placement year
Gain specialist knowledge required to start a successful career in mathematics with computing
Close industrial links for excellent placement opportunities
3 years full-time / 4 years full-time with integrated placement year

UCAS Code: G190

Please note:

GCSE requirement: English Grade C  

More on Admissions Policy

Applicants whose first language is not English will be required to provide evidence of an English language qualification. Find out more about our English language requirements 

Tuition fees: 

£9,250 (£1,250 during placement year) for UK/EU students (2018/19)                             

£16,000 for Outside EU students (2018/19)
Placement Year: £2,500 for International Students

More on fees 

Typical offer level

ABB-BBB to include at least a grade A or B in Mathematics.

General Studies accepted.

32 overall points with 555 (including minimum Grade 5 in Maths at Higher Level).
BTEC Diploma qualifications are acceptable at distinction grades provided students also present A level in Maths at minimum Grade B.
A subject related Access to Higher Education with 45 credits at Level 3 and at least 30 Distinctions and 15 Merits.

The information contained on this website details the typical entry requirements for this course for the most commonly offered qualifications. Applicants with alternative qualifications may wish to enquire with the relevant admissions teams prior to application whether or not their qualifications are deemed acceptable. For less commonly encountered qualifications this will be judged on a case-by-case basis in consultation with the academic admissions tutor.

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.

Year 1

In the first year of the courses, students study modules in three broad areas: Mathematics, Mathematical Computing and Information Technology.
  • Academic Writing and Study Skills (AM10AS)
  • Calculus and Ordinary Differential Equations (AM10CO)
  • Vector Geometry (AM10GE)
  • Introduction to Matlab (AM10IM)
  • Mathematical Algorithms (AM10MA)
  • Mathematical Thinking (AM10MT)
  • Probability (AM10PB)
  • Transition Mathematics (AM10TM)
  • Vector Algebra (AM10VA)
  • Java Programming Foundations (CB) (CS1020)
 Year 2
The second year study of Mathematics with Computing puts more emphasis on advanced mathematical modules and IT skills such as Computer Graphics and Software Engineering.

  • Introduction to Numerical Methods (AM20IN)
  • Linear Mathematics (AM20LM)
  • Multivariate Calculus (AM20MC)
  • Mathematical Methods (AM20MM)
  • Statistics (AM20ST)
  • Vector Calculus (AM20VR)
  • Information Systems and Databases (CS1050) 
  • Internet Computing (CS1240)
  • Java Program Constructions (CS2300)

Optional Modules:

  • Foundations of Calculus (AM10FC)
  • Abstract Algebra (AM20AA)
  • Mechanics (AM20ME)
  • Statistical Machine Learning (AM20ML)
  • Numerical Methods (AM20NM)
  • Professional Practice (AM20PP) 

Year 3 - Optional placement year

See placement year section or find out more about the Aston placement year

  • EAS Study Placement Year (SEP001)
  • EAS Industrial Placement Year (SEP002)
  • EAS Study/Work Placement Year (SEP003)

Final Year 

The final year allows students to specialise in a particular area. This can be Finance or Computer Science. Students also undertake a final year project which may be in collaboration with industry or commerce.

Core Modules:

Choose modules from the following options:

  • Complex Analysis (AM30CA)
  • Probability Distributions (AM20PD) 
  • Approximation Theory and Methods (AM30AT) 
  • Chaos and Dynamical Systems (AM30CD) 
  • Financial Mathematics (AM30FT) 
  • Game Theory (AM30GT) 
  • Classical Mechanics (AM30ME) 
  • Mathematics Final Year Project (AM30MP) 
  • Mathematics Report (AM30MR) 
  • Network Science (AM30NE)
  • Option Theory (AM30OT) 
  • Partial Differential Equations (AM30PD) 
  • Probabilistic Modelling (AM30PM) 
  • Portfolio Analysis (AM30PT) 
  • Stochastic Techniques (AM30SR)
  • Simulation Techniques (AM30ST) 
  • Modern Time Series (AM30TS)
  • Enterprise Application Technology (CS3160)
  • Information Security (CS3190)
  • Geographic Information Systems (CS3210)
  • Testing Reliable Software Engineering (CS3270)
  • Data Mining (CS3440)
  • Enterprise Computing Strategies (CS3460)

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
Through its established reputation at postgraduate level in the field of Mathematics 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.

Our current and recent placement employers include companies in the UK and abroad such as: BNFL, ConocoPhillips, GSK, Kraft, Alfa Laval, Thames Water, AMEC and 3M.

Find out more about placement years at Aston.

Currently the Mathematics courses are working towards accreditation with the Institute of Mathematics and Applications (IMA).

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 above mentioned 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 visua projection facilities and three other labs containing PCs and Macs. Additional labs provide high performance workstations reserved for project work and specialist teaching.

Our Programming Support Office is available to help you with computer programming modules. Some of our dedicated computing laboratories are open to our students 24 hours a day.

Teaching staff

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
Senior Lecturer

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.

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+44 (0)121 204 3400


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