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Computer Science and Mathematics (with foundation year) BSc (Hons)

Start date

  • Level(s) of Study: Undergraduate
  • Typical Offer: 72 UCAS tariff points
  • UCAS Code(s): GG45
  • Start Date(s): September 2024
  • Duration: Four years full-time
  • Study Mode(s): Full-time
  • Campus: Clifton Campus
Information for 2024

Introduction:

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

Our Computer Science and Mathematics degree is current and relevant to the needs of the business. Our close links with the industry mean 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.
  • Join our 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.
  • 97% of our mathematics students were in work or further study 15 months after graduation (Graduate Outcomes Survey 2020/21).
  • Top 20 in the UK for teaching quality in Mathematics (Times and Sunday Times Good University Guide 2024)

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.

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.

Introductory Mathematics (20 credit points)

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 (20 cp)

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.

Computational Mathematics (20 cp)

A hands-on introduction to ideas and skills which cross Mathematics, Physics and Computing. Using software such as Excel and Matlab, you’ll learn about mathematical ideas like matrices and the consideration of how physical systems can be represented mathematically.

Introduction to Programming (20cp)

Learn how to design, code, test and debug basic Python language programs. In the first part of this module, you’ll look at the basics of Python such as text strings, loops and functions. In the second part of the module, you’ll be introduced to maths-related Python libraries such as pandas, scipy.stats and matplotlib.

Practical and Professional Skills (40 cp)

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.

Calculus (20 credit points)

In this module you’ll study methods of differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. Ordinary differential equations will be looked at and in combination with material you’ll learn how to solve these new types of equations.

Data Analysis (20 cp)

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 Linear Algebra and Computation (20 cp)

Studying Linear Algebra gives you a great base knowledge you’ll use in many modules during your course. Concepts include complex numbers, vectors and matrices. Using mathematical software packages you’ll focus on computational and numerical methods that can be used to find approximate solutions to problems that cannot be solved analytically.

Foundations of Computing Technology and Programming (20 cp)

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.

Systems Analysis and Design (20 cp)

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.

Computer Science Programming (20 CP)

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

Core modules

Probability and Statistical Inference (20 cp)

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

Mathematical Enterprise (20 cp)

In this module you’ll work in small teams to develop a plan for a new business or enterprise, using your mathematical skills to showcase the viability of your venture. This module is run in conjunction with Nottingham's Creative Quarter and you’ll work with several local businesses to create business plans.

Systems software (20 cp)

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

Foundations of Artificial Intelligence and Machine Learning (20 cp)

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.

Software Design and Implementation (20 cp)

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

Optional modules - choose one:

Linear Algebra and its Applications (20 cp)

This module will build your conceptual and technical background, and, in particular, work on vector spaces will be extended and generalised to linear transformations. You will be introduced to coding theory by applying linear algebra to linear codes.

Cryptography and Computational Complexity (20 cp)

Learn how to select and apply appropriate techniques and use computer programming and specialist mathematical software to help solve problems. You’ll look at the need to develop more and more sophisticated ways of protecting information through cryptography. Analyse the hardness and limitations of mathematical algorithms using computational complexity theory.

Core modules

Project and Professional Skills (40 cp)

Immerse yourself in a substantial mathematics project with dedicated support and supervision. The project will showcase your skills, knowledge, and problem-solving abilities. You’ll also take part in activities to explore your career options after graduation.

Graph Theory and Combinatorics (20 cp)

This module introduces research-informed topics in pure mathematics and aims to extend and complement ideas introduced earlier in your course. It provides a blend of mathematical concepts and techniques widely applicable in data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.

Artificial Intelligence (20 cp)

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

Optional modules - choose one:

Experimental Design and Machine Learning (20 cp)

In this module you’ll be introduced methods of experimental design and their application in industrial and commercial situations. You’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results.

Stochastic Processes (20 cp)

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

Optimisation (20 cp)

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

Optional modules - choose one:

Service-centric and Cloud Computing (20 cp)

Discover two challenging aspects of implementing distributed computing systems in Service-Oriented Architectures (SOA).

Mobile Platform Applications (20 cp)

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.

Distributed Database Engineering (20 cp)

Study the processes, techniques and technologies that data scientists use to support the challenging workloads for data science.

Advanced Software Engineering (20 cp)

Develop techniques and strategies to analyse, choose, propose, design, implement, test and evaluate software elements.

How you’re taught

Every week you’ll attend lectures, seminars, practical sessions and workshops. This includes 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.

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

Find out more about Joanna Hartley, Deputy Head of Department of the Computer Science Department at Nottingham Trent University.

Jon Robinson - Principal Lecturer

Computer Science

Jon Robinson Find out more about Jon Robinson, Principal Lecturer, in the Department of Computer Science at Nottingham Trent University.

Martin Nelson - Senior Lecturer

School of Science & Technology

Dr. Martin Nelson is a Senior Lecturer of Applied Mathematics at NTU, researcher of Mathematical Biology, complex immunology and multi-faceted bio systems.

Colin Wilmott - Senior Lecturer

School of Science & Technology

Find out more about Colin Wilmott, Senior Lecturer, in the Department of Physics and Mathematics at Nottingham Trent University.

Nadia Chuzhanova - Lecturer

School of Science & Technology

Find out more about Nadia Chuzhanova Professor of Biomedical Mathematics in the Department of Physics and Mathematics at Nottingham Trent University.

How you’re 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.

  • 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

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.

Campus and facilities

Entry requirements

  • 72 UCAS tariff points from three A-levels or equivalent
  • GCSE Maths grade B / 6 and English C / 4

Other qualifications and experience

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.

Meeting our entry requirements

Hundreds of qualifications in the UK have UCAS tariff points attached to specific grades, including A levels, BTECs, T Levels and many more. You can use your grades and points from up to three different qualifications to meet our criteria. Enter your predicted or achieved grades into our tariff calculator to find out how many points your qualifications are worth.

Getting in touch

If you need more help or information, get in touch through our enquiry form

  • 72 UCAS tariff points from three A-levels or equivalent
  • International qualifications

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

  • Entry requirements by country
  • 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:

  • English language requirements
  • Pre-sessional English for Academic Purposes (PEAP)
  • 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:

  • Foundation courses leading to undergraduate study at NTU
  • 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.

  • Complete this simple form to keep in touch with the International Office.

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.

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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