BSc (Hons)

Computer Science and Mathematics

Electronic circuit
  • UCAS code(s): 350Z / GG4C
  • Level(s) of study: Undergraduate
  • Study mode(s): Full-time / Sandwich
  • Location: Clifton Campus
  • Starting: September 2018
  • Course duration: 3 / 4 year(s)
  • Entry requirements: More information

We are in the process of a digital revolution. The way we interact with the world around us is changing at supersonic speed, and mathematicians and computer scientists are at the forefront of this cutting edge technology – spotting opportunities and solving problems in every area of our daily lives.

There has always been synergy between Mathematics and Computer Science and today these complementary skill sets are instrumental in creating a connected world. Throughout your course you’ll study in an informal, supportive environment which we believe is one of the reasons that pass rates on this course are so high. A large proportion of Mathematics students graduate with at least an upper-second-class degree. Our courses have consistently scored highly in the National Student Survey.

Our Computer Science and Mathematics degree is current and relevant to the needs of business. Our close links with industry means that, if you wish, you’ll have the opportunity to take up job placements with some of the world’s leading companies.

Research scholarships

Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a 6-8 week placement in one of our research teams. This is a great opportunity for you to further your research interests and contribute to the academic activities of the Mathematics department.

More student opportunities

Our students have recently formed a Mathematics Society, and you’ll have the opportunity to take part in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.

What our students say

"I think the greatest strength of the course is how the Mathematics and Computer Science parts are used to complement each other. In the mathematical modules we focused on topics in applied Mathematics, which then could be used to great effect in some of the computer science work. For example, part of my coursework for one of my computing modules in Year Three was based on statistics studied in Year Two.

"I would like to give special notice to the Mathematics department, which was truly a step beyond what I expected going in to university; no matter what the query, they would always do their utmost to help and to ensure that the student understood the topic.

"Without my degree, neither the type of jobs I am applying to nor the postgraduate course I am looking at would be open to me".

Olle Hammarstrom, BSc (Hons) Computer Science and Mathematics

What you'll study

In Years One and Two you’ll explore a wide range of mathematical techniques and applications. Then, in your final year, you’ll get to choose a number of specialist modules, depending on your own personal preferences and career aspirations.

There are approximately 120 places available across our Mathematics cluster of courses, which includes:

  • BSc (Hons) Mathematics
  • BSc (Hons) Financial Mathematics
  • BSc (Hons) Computer Science and Mathematics
  • BSc (Hons) Sport Science and Mathematics
  • MMath Mathematics

Who will teach me?

Dr James Hind, Lecturer

"I recently won several HESTEM grants to work with the Nottingham Girl's High School on final year maths education projects and to build employability skills into our maths course. Local, national, and global companies have helped us to make sure that our students leave with the skills, abilities and confidence to excel in the jobs market.

"As a team our research focus includes biological mathematics, statistics and computational modelling, but we also encompass financial analysis, cryptography and many other fields"

Dr Reuben O'Dea, Lecturer

"I am currently pursuing research in mathematical modelling of biological tissue growth. Specific research interests include: the influence of mechanical stimuli on tissue growth in bioreactors; multiscale aspects of tissue growth; and fluid dynamics. Techniques employed include asymptotic and numerical methods."

Meet the rest of the team

Visit our academic team pages to find out more about our approach to teaching, our partners and research interests.

  • Year One

    Foundations of Computing Technology and Programming

    This module has several strands including programming and technical aspects that introduce you to the fundamentals of writing computer programs, as well as numeracy and website development.

    Computer Science Programming

    Learn about programming languages relevant to software with industrial scale, reliability and performance characteristics.

    Introduction to Numerical Methods

    Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.

    Introduction to Systems Analysis and Design (SAD)

    SAD is a core discipline within the Technology industry. You will gain knowledge of the key systems development methodologies, techniques, and tools used when developing a computer-based system.

    Mathematical Methods

    This module aims to consolidate and extend your previous knowledge of calculus and linear algebra, with emphasis on the underlying intuition of the techniques.

    Data Analysis

    Providing you with an introduction to important statistical ideas and their application in modern software. You will explore data analysis, probability, statistical inference and statistical modelling.

    Introduction to Numerical Methods

    Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.

  • Year Two

    Applied Mathematics and Graphics

    You will acquire the mathematical skills required for the implementation of computer systems which interact with or model the physical world.

    Numerical Methods for Ordinary Differential Equations

    You will further develop your computational and professional skills and enhance your knowledge of specialist numerical software packages.

    Software Design and Implementation

    This module will equip you with the knowledge and skills in software development techniques to support the development of software systems.

    Differential Equations and Transform Methods

    Extend your knowledge of calculus, differential equations and linear algebra and gain an introduction to difference equations, the eigenproblem and transform methods.

    Probability and Statistical Inference

    Refine your knowledge of statistical inference and statistical modelling and further develop essential computational and IT skills.

    Systems software

    Study operating systems theory, network solutions, design and implementation, and learn how computer systems can be connected to form large complex distributed systems.
  • Year Three

    Optional placement year for Sandwich students. Please see our excellent placement opportunities section.

  • Final year

    Mathematics Pathway

    Project in Mathematics

    The final year project gives you the opportunity to demonstrate and document your skills, knowledge and understanding of mathematics, and show your planning, organisation and problem solving abilities.

    Graphics for Games and Dynamics Modelling

    Learn the fundamental principles of advanced 3D rendering and physical simulation and gain an appreciation of ‘fitness for purpose’ and the full implications of hardware choices.

    Optional modules - Choose two of the following modules:

    Applied Statistics

    Extends your experience of statistical techniques and methodologies, applying them in a diverse range of industrial and commercial contexts.

    Stochastic Processes

    Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investing the behaviour of stochastic processes.

    Numerical Analysis and Dynamical Systems

    Focusing on numerical optimisation techniques you will study advanced methods for the numerical solution of ordinary differential equations and the application of methods to non-linear problems.

    Plus one module from:

    Advanced Analysis and Design

    Gives you a sound understanding of the object model – what it’s based on and how it can be applied to build systems.

    Advanced Software Engineering

    Covers techniques and strategies to analyse, choose, propose, design and evaluate hardware and software elements (including data structures and algorithmic solutions) to problems in both real-time and non-realtime domains.

    Interaction Design and Project Management

    By understanding human computer interaction and practical abilities in interface development, you’ll learn the importance of designing and evaluating usability at each stage of software development.

    And one module from:

    Linear Systems

    You will continue your previous studies in the fields of linear algebra and differential and difference equations.

    Statistical Modelling

    This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.

    Computer Science Pathway

    Project in Computing

    The final year project gives you the opportunity to demonstrate and document your skills, knowledge and understanding of mathematics, and show your planning, organisation and problem solving abilities.

    Graphics for Games and Dynamics Modelling

    Learn the fundamental principles of advanced 3D rendering and physical simulation and gain an appreciation of ‘fitness for purpose’ and the full implications of hardware choices.

    Optional modules  - Choose one of the following modules:

    Applied Statistics

    Extends your experience of statistical techniques by applying them in a range of contexts. Practical issues are highlighted.

    Stochastic Processes

    Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investing the behaviour of stochastic processes.

    Numerical Analysis and Dynamical Systems

    Focusing on numerical optimisation techniques you will study advanced methods for the numerical solution of ordinary differential equations and the application of methods to non-linear problems.

    Plus one module from:

    Advanced Analysis and Design

    Gives you a sound understanding of the object model – what it’s based on and how it can be applied to build systems.

    Advanced Software Engineering

    Covers techniques and strategies to analyse, choose, propose, design and evaluate hardware and software elements (including data structures and algorithmic solutions) to problems in both real-time and non-realtime domains.

    Interaction Design and Project Management

    By understanding human computer interaction and practical abilities in interface development, you’ll learn the importance of designing and evaluating usability at each stage of software development.

    And one module from:

    Linear Systems

    You will continue your previous studies in the fields of linear algebra and differential and difference equations.

    Statistical Modelling

    This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.

Course specification

View the full course specification
Please note that course specifications may be subject to change

How you’re taught

You’ll spend between 14 and 16 hours every week in lectures, seminars, practical sessions and workshops. This includes up to 4 surgery sessions where you’ll meet with your lecturer in small groups to discuss any problems or work through challenging topics. The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.

How will I be assessed?

We want you to graduate with a range of transferable skills, so all of the mathematics modules have two or three assessment components that help you to demonstrate your knowledge in a variety of ways. As well as traditional exams and in-class tests, you’ll complete assignments and group projects, and give presentations. In your final year, you’ll also complete your final project with the support of your personal tutor.

Assessment methods

Year 1 - coursework (53%) and written (47%)

Year 2 - coursework (44%) and written (56%)

Year 3 - coursework (64%), written (33%), and practical (3%)

A placement year may be taken between year 2 and year 3 of study

Contact hours

A full-time student on average can expect to spend 1200 hours a year learning which will typically be broken down as follows:

Year 1 - lectures/seminars/workshops (33%) and independent study (67%)

Year 2 - lectures/seminars/workshops (38%) and independent study (62%)

Year 3 - lectures/seminars/workshops (23%) and independent study (77%)

A placement year may be taken between year 2 and year 3 of study

Careers and employability

Your career development

Our recent graduates have gone onto careers in the following roles and companies:

Other careers could include:

  • industrial and commercial mathematics
  • statistical applications systems modelling
  • software engineering
  • telecommunications
  • IT applications
  • teaching and research.

Graduate salaries range from £16,000 - £30,000 per year and many graduates also choose to undertake further study on one of our Masters-level courses or MPhil and PhD research degrees.

Excellent placement opportunities

After Year Two, you have the opportunity to undertake one year's work placement in industry, including overseas options. This will give you the chance to gain vital experience and put your knowledge into practice.

Recent Mathematics students have secured placements in the following roles and companies:

You’ll be actively encouraged and supported by our dedicated placement team who’ll help you find and apply for positions that are right for you. They’ll also provide support while you’re in your place or work, whether that’s at home or abroad.

You’ll be assessed throughout the year and at the end of your placement you’ll write a reflective report and diary. On completion of a successful placement, you’ll be eligible to receive an additional award - the Placement Diploma in Professional Practice.

Entry requirements

What are we looking for?

  • 104 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade B); or
  • BTEC Extended Diploma – DMM including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

Applicants without A-levels will have their qualifications assessed for subject compatibility. We also consider equivalent qualifications and combinations. Please see UCAS Course Search for more details.

What are we looking for?

  • 104 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade B); or
  • BTEC Extended Diploma – DMM including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

Applicants without A-levels will have their qualifications assessed for subject compatibility. We also consider equivalent qualifications and combinations. Please see UCAS Course Search for more details.

International qualifications

We accept qualifications from schools, colleges and universities all over the world for entry onto our UG and PG degrees. If you’re not sure how your international qualification matches our course requirements please visit our international qualifications page.

Foundation courses

If you are an international student who does not meet the direct entry requirements for this course, you can prepare for it at Nottingham Trent International College. Their Foundation Certificate in Science and Engineering (life sciences) offers students a guaranteed progression route to this degree on successful completion to the required level.

English language entry requirements

If English is not your first language you need to show us that your language skills are strong enough for intensive academic study.   We usually ask for an IELTS test and we accept some alternative English language tests.

Help and support

If you have any questions about your qualifications or about making an application to the University please contact our international team for advice.

How to apply

Ready to join us? Then apply as soon as you can. Just click the Apply button at the top of the page and follow the instructions for applying. Make sure you check the entry requirements above carefully before you do.

Writing your application and personal statement

Be honest, thorough and persuasive in your application. Remember, we can only make a decision based on what you tell us. So include all of your qualifications and grades, including resits or predicted grades.

Your personal statement is a really important part of your application. It’s your chance to convince us why we should offer you a place! You’ve got 4,000 characters to impress us. Make sure you use them to show how your skills and qualities are relevant to the course(s) you’re applying for. For more hints and tips, take a look at our page on how to write a good personal statement.

Keeping up to date

After you’ve applied, we’ll be sending you important emails throughout the application process - so check your emails regularly, including your junk mail folder.

You can get more information and advice about applying to NTU on our Your Application page. Good luck with your application!

Please read our notes on the University's commitment to delivering the educational services advertised.

You can apply directly to the University for an undergraduate course if you’re not applying to any other UK university in the same year.  If you are applying to more than one UK university you must apply through UCAS.

Apply as early as you can so that you have time to prepare for your studies.  If you need a visa to study here you need to plan this into your application.

Keeping up to date

After you’ve applied, we’ll be sending you important emails throughout the application process - so check your emails regularly, including your junk mail folder.

Good luck with your application!

Please read our notes on the University's commitment to delivering the educational services advertised.

Further information on how to apply

Need help with your application?
For admissions related enquiries please contact us:
Telephone: +44 (0)115 848 4200

Fees and funding

Once our 2018/19 fees have been set, they will be available on our fees and funding pages.

Getting in touch

For more advice and guidance, you can contact our Student Financial Support Service on telephone +44 (0)115 848 2494.

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

We offer prestigious scholarships to new international students holding offers to study at the University.

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

Still need help?

Science and Technology course enquiries
+44 (0)115 848 8351