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Computer Science and Mathematics (with Foundation Year) BSc (Hons)

  • Level(s) of Study: Undergraduate
  • UCAS Code(s): GG45
  • Start Date(s): September 2023
  • Duration: Four years full-time/
  • Study Mode(s): Full-time
  • Campus: Clifton Campus
  • Entry Requirements:
    More information

Introduction:

Mathematics underpins the core features of computing and coding. This course focuses on this fascinating subject and supports you to develop a board knowledge of engineering and science in your foundation year. It provides you with a solid foundation from which to move on to BSc (Hons) Computer Science and Mathematics in your second year.

Learning by doing is the focus of this course and you’ll do just that, by taking part in lots of projects both on your own and in a group. This develops your problem-solving and creative thinking skills.

If you change your mind, you have developed the skills and knowledge to move onto one of our other mathematics or engineering courses in your second year.

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.

  • Every year we offer a number short research scholarships in one of our research teams. This is a great opportunity for you to further your interests and contribute to the academic activities of the Mathematics department.
  • 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 you’ll study

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.

After your foundation year 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.

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.

Placement Year

An optional placement year is available and this will typically take place between year four and your final year.

Introductory Mathematics

This module provides an introduction to important mathematical ideas, including Algebraic rearrangement, Trigonometry, Vectors, Descriptive Statistics, Integration and Differentiation. You’ll gain an understanding of ideas that form the basis of later, more specialised, developments and you’ll be able to solve simple but realistic mathematical problems.

Intermediate Mathematics

This module aims to provide the link between Introductory Mathematics and degree level Mathematics. You’ll cover more complex topics such as the chain rule and integration by parts, the generalisation of vectors to matrices, the approximation of numerical series, logic and probability, complex numbers and mathematical proof.

Foundation Science

In this module you’ll cover topics in Physics and Chemistry including exchange, transport and conservation of energy and inorganic, organic and physical chemistry. The aim of this module is to provide a sound scientific foundation for the study of engineering or mathematics at undergraduate degree level.

Foundation Engineering

This module includes basic electrical, electronic and mechanical engineering. Mechanics considers the consequences of applying forces to physical bodies; the electrical and electronics part of the module focuses on the scientific principles relevant to circuit theory, analogue electronics and components. Laboratory-based sessions will allow you to gain practical knowledge and experience.

Practical and Professional Skills

This module aims to provide a link between the theoretical modules on the course and their practical implementation. The professional skills aspect will help you with interpreting coursework requirements, exam and revision technique, note taking and referencing. The practical sessions will cover a variety of topics that require you to make use of the scientific principles and mathematical techniques that you’re learning in the other modules on the course.

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.

Problem Solving

Learn how to select and apply appropriate techniques, and use specialist mathematical and statistical software to help solve open ended applied problems. Extend your commercial awareness by tackling industrial problems in a professional manner.

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.

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.

Optional modules - Choose one of the following modules:

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.

Foundations of Artificial Intelligence and Machine Learning

The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of ‘machine learning’ techniques to process and discover patterns in data.

Numerical Methods for Ordinary Differential Equations

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

Differential Equations and Modelling

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

An optional placement year is available, this will typically take place after Year Three, and you will return to campus for your final year in Year Five.

The final year modules are as follows:

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.

OR

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.

And either

Professional Mathematics Skills

Gain a broad view of the practical applications of mathematics in the real world, especially in industrial contexts such as finance, physics and
engineering.

OR

Communicating Science and Technology

This module will be of interest to you if you are considering a career in teaching and/or want to develop your portfolio of transferable skills.

Optional modules - Choose one 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.

Cryptography and Quantum Computation

This module provides an introduction to the theory of cryptography and quantum computation. These topics will build on and extend your knowledge and understanding of key mathematical ideas that were introduced in the earlier years of the course.

Plus one module from:

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.

Artificial Intelligence (AI)

Learn about the theoretical foundations of AI, the main methods and techniques and current areas of AI research and development.

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.

Service-Centric and Cloud Computing

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.

Computational Statistics and Data Analysis

Explore topics from computational statistics and statistical models relevant to modern applications, with an emphasis on developing solid conceptual understanding of these methods through applications.

Optimisation

Optimisation is the art of optimal decision-making under constraints. This module introduces you to optimisation, focussing on the theoretical foundations of the subject, as well as the practical modelling aspects, and the algorithm analysis and design.

Plus one module from:

Mobile Platform Applications

Understand the requirements, capabilities and constraints of a variety of mobile platform technologies and consider how they can be used to build systems that are outside the traditional desktop paradigm.

Advanced Software Engineering

Covers techniques and strategies to analyse, choose, propose, design, implement, test and evaluate software elements (including data structures and algorithmic solutions).

Distributed Database Engineering

Learn about the processes and techniques data scientists use to support the challenging workloads for data science by focusing on a range of
distributed database technologies that can support big data.

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.

Contact hours

Year 1 - lectures/seminars/workshops (30%) and independent study (70%)

Year 2 - lectures/seminars/workshops (33%) and independent study (67%)

Year 3 - lectures/seminars/workshops (34%) and independent study (66%)

Year 4 - lectures/seminars/workshops (18%) and independent study (82%)

A placement year may be taken between year 3 and year 4 of study

Learn a new language

Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.

Staff Profiles

Joanna Hartley

Deputy Head of Department

Computer Science

Joanna Hartley - Deputy Head of Department Computer Science

Jon Robinson

Principal Lecturer

Computer Science

Jon Robinson

Martin Nelson

Senior Lecturer

School of Science & Technology

Dr. Martin Nelson is a Senior Lecturer of Applied Mathematics. His research is primarily in the area of Mathematical Biology, including problems of a biomechanical nature and complex multi-faceted biological…

Colin Wilmott

Senior Lecturer

School of Science & Technology

Colin Wilmott

Nadia Chuzhanova

Lecturer

School of Science & Technology

How you’re assessed

Year 1 - coursework (60%) and written (40%)

Year 1 - coursework (65%) and written (35%)

Year 2 - coursework (53%) and written (47%)

Year 3 - coursework (61%) and written (39%)

A placement year may be taken between year 3 and year 4 of study

Careers and employability

Your career development

Our recent graduates have secured roles at companies including:

    • Perceptive Informatics
    • Santander
    • Dorset Software Services
    • OCM Wealth Management Ltd

    Other careers could include:

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

    They have gone into a wide variety of job roles including:

    • Associate Software Validation Engineer
    • MI analyst
    • Graduate Analyst Programmer
    • Business Intelligence Consultant

Many graduates also choose to undertake further study on one of our Masters-level courses or MPhil and PhD research degrees.

Placements

NTU is one of the most employment-focused universities. Increasingly, employers want to recruit graduates who have real-world work experience. That’s why all of our courses, across every subject area, offer you a work experience opportunity. Our experts help build and support your future with a range of career programmes and events.

On this course, after your third year, you will have the opportunity to take a year's work placement (sandwich placement). This will give you the chance to gain vital experience and put your knowledge into practice. You're also twice as likely to secure a graduate job within six months if you take a work placement.

Our recent students have taken placements across a wide range of companies including DeVere Group, Mercedes and Parexel. They secured varied roles such as Assistant Bio-Statistician, IT Intern and Modelling and Data Placement Student.

You'll be supported and assessed throughout your placement year and will write a reflective report and diary at the end of your placement. When you successfully complete your placement, you will be eligible to receive an additional award of a Diploma in Professional Practice.

Find out more about work placements.

NTU Enterprise

You'll also have the opportunity to turn your ideas into a viable business with help from NTU Enterprise, NTU's purpose-built Centre for Entrepreneurship and Enterprise, a support centre to help students create, develop and grow their own businesses.

Entry requirements

72 UCAS Tariff points

What are we looking for?

  • 72 UCAS tariff points from three A-levels or equivalent; or
  • BTEC Extended Diploma – MMP; and
  • GCSEs – Maths grade B/6 and English C/4

Other qualifications and experience

We consider equivalent qualifications and combinations, please see UCAS course search for details and use our calculator to help you work out how many UCAS points your qualifications relate to.

We may also consider credits achieved at other universities and your work/life experience through an assessment of prior learning. This may be for year one entry, or beyond the beginning of a course where applicable, for example, into year 2. Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route.

Contextual offers

As well as assessing your application and qualifications, we use contextual data and information to make offers for this course. Depending on your circumstances, we may make you an offer up to two grades below the standard entry criteria. Find out how we assess your application.

Getting in touch

  • If you need any more help or information, please email our Admissions and Enquiries Team or call on +44 (0)115 848 4200.

What are we looking for?

  • 72 UCAS tariff points from three A-levels or equivalent; or
  • BTEC Extended Diploma – MMP; and
  • GCSEs – Maths grade B/6 and English C/4

International qualifications

We accept qualifications from all over the world – check yours here:

Undergraduate preparation courses (Foundation)

If you don’t yet meet our entry requirements, we offer Foundation courses through our partner Nottingham Trent International College (NTIC), based on our City Campus:

English language entry requirements

You can meet our language requirements by successfully completing our pre-sessional English course for an agreed length of time, or by submitting the required grade in one of our accepted English language tests, such as IELTS:

Advanced standing (starting your undergraduate degree in year 2 or 3)

You may be able to start your undergraduate course in year 2 or 3 based on what you have studied before.  This decision would be made in accordance with our Recognition of Prior Learning and Credit Transfer Policy.

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

Fees and funding

Preparing for the financial side of student life is important, but there’s no need to feel anxious and confused about it. We hope that our fees and funding pages will answer all your questions.

Getting in touch

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

Additional Costs

Your course fees cover the cost of studies, and include loads of great benefits, such as the use of our library, support from our expert Employability team, and free use of the IT equipment across our campuses.

Library books

Most study modules will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you might think! There may also be a supply of second-hand books available for purchase from previous year students.

Field trips

All essential field trip costs will be included in your course fees. There may be the opportunity to take part in optional field trips, which do incur additional costs.

Placements

If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Many of our placement students do earn a salary whilst on placement which can help to cover these living costs.

Print and copy costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. Students will also be required to pay additional costs for printing, poster preparation and final dissertation copies in their final year - estimated costs approximately £20 - £50. For more details about costs for additional print and copying required over and above the annual allowance please see the Printing, photocopying and scanning information on the Library website.

Other

Students will require a basic scientific calculator for use in examinations (e.g. Casio 83 or 85 series, approximately £15).

Tuition fees 

Tuition fees are payable for each year that you are at the University. The level of tuition fees for the second and subsequent years of your undergraduate course may increase in line with inflation and as specified by the UK government. See our fees for 2022 entry.

Scholarships

We offer scholarships of up to 50% of your tuition fee. You can apply for your scholarship when you have an offer to study at NTU.

Living costs

Get advice on the cost of living as an international student in Nottingham and how to budget:

Paying fees

Find out about advanced payments, instalment plan options and how to make payments securely to the University:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

Additional Costs

Your course fees cover the cost of studies, and include loads of great benefits, such as the use of our library, support from our expert Employability team, and free use of the IT equipment across our campuses.

Library books

Most study modules will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you might think! There may also be a supply of second-hand books available for purchase from previous year students.

Field trips

All essential field trip costs will be included in your course fees. There may be the opportunity to take part in optional field trips, which do incur additional costs.

Placements

If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Many of our placement students do earn a salary whilst on placement which can help to cover these living costs.

Print and copy costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. Students will also be required to pay additional costs for printing, poster preparation and final dissertation copies in their final year - estimated costs approximately £20 - £50. For more details about costs for additional print and copying required over and above the annual allowance please see the Printing, photocopying and scanning information on the Library website.

Other

Students will require a basic scientific calculator for use in examinations (e.g. Casio 83 or 85 series, approximately £15).

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!

You can apply for this course through UCAS. If you are not applying to any other UK universities, you can apply directly to us on our NTU applicant portal.

Application advice

Apply early so that you have enough time to prepare – processing times for Student visas can vary, for example.  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.

Writing your personal statement

Be honest, thorough, and persuasive – we can only make a decision about your application based on what you tell us:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

The University's commitment to delivering the educational services advertised.

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