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Computer Science (Artificial Intelligence) (with foundation year) BSc (Hons)

  • Level(s) of Study: Undergraduate
  • UCAS Code(s): I400 (Full time)
  • Start Date(s): September 2023
  • Duration: Four years full-time
  • Study Mode(s): Full-time
  • Campus: Clifton Campus
  • Entry Requirements:
    More information


You'll develop the practical skills and knowledge in programming, maths and engineering that will get you off to a flying start when you move onto BSc (Hons) Computer Science (Artificial Intelligence) in your second year.

This course is aimed at students who are interested and inspired by the new AI technologies and want to work to become a leader in meeting the challenges posed by AI and big data.  This course will support students with a broad range of skills required to work in the field of AI - including machine learning, natural language processing, problem solving and other cognitive techniques, as well as an understanding of the professional and ethical considerations that surround AI.

It is designed to enable you to develop the knowledge and skills that are necessary for, specifically, a career in the industry sectors undertaking the design of intelligent computer systems and emerging smart technologies and, generally, for a broad range of careers in industrial, commercial and scientific computing. The BSc (Hons) Computer Science (Artificial Intelligence) degree has been designed to meet the accreditation requirements of BCS – the Institute for IT, for both CITP and partial CEng registration.

Develop your portfolio

The course puts theory into practice through skills development relevant to the modern world, in particular, the use of artificial intelligence (AI), machine learning and cognitive computing in an increasing number of industry sectors. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the industries using AI, you will develop transferable skills which will make you suitable for general graduate employment in an ever-changing job market.

Research informed teaching

As well as giving you a robust general education in Computer Science, with emphasis on AI design and development, the Computer Science (Artificial Intelligence) degree will provide the knowledge and skills necessary for research and development in other technically advanced fields of computing.

What you’ll study

During your course you will be equipped with the knowledge and skills necessary for careers in digital and technology occupations across a wide variety of different sectors in industrial, commercial and scientific computing. You will develop the skills and knowledge required to design and implement robust, efficient, quality software.

You will then develop the knowledge and skills needed to face new technological and ethical challenges associated to the emerging new intelligent systems, and to adapt them for the real-world problems at both local and global scales.

Microsoft Certified: Azure AI Fundamentals course

Microsoft will sponsor your cloud subscription and course materials. There will be no cost to you for your certification test fees.  You will also get the Microsoft Azure AI Fundamentals professional certification when you graduate – a valuable addition to your CV.

Find out more about Azure AI Fundamentals course.

About the Computer Science Team

We have a rich mix of knowledge ranging from software development for different types of system through to hardware aspects such as networking. This involves many uses of computing and considers all aspects including security and management. Our knowledge is built up and maintained through our wealth of industrial experience, our industrial links and our research activity. These are the ingredients for ensuring the relevance and vitality of your course.

Our highly regarded academics are active in a broad range of research areas, particularly in the areas of Games for Learning and in Security. For example, Professor David Brown leads several projects, funded by the European Union, in games and assistive technology while Professor Paul Evans' innovative developments in security are supported by USA Dept of Homeland Security.

We engage fully in our subject area and this engagement feeds directly and indirectly into our teaching. Other examples of our activity are:

  • developing patents e.g. in voice signal processing
  • organising conferences on Interactive Technology and Games and on Intelligent Environments
  • working with local companies on funded projects e.g. enhancing the capability of the press association to search their image database
  • publishing novel findings in research publications on for example financial prediction, mobile communications, detection of human behaviour patterns.

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.

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 (20 cp)

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.

Foundation Engineering (20 cp)

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 (40 cp)

This module aims to provide a link between the theoretical modules in the course and their practical implementation. The professional skills aspect will help you with interpreting coursework requirements, exam and revision techniques, 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 (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.

Computer Science Programming (20 cp)

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

Computer Technology and Mathematics (20 cp)

Understand how a computer works, look at issues arising from the hardware architecture and extend your mathematical knowledge and ability.

Systems Analysis and Design (SAD) (20 cp)

Introducing you to the fundamental principles of SAD, this module gives you a working knowledge of key systems development methodologies, techniques and tools.

Essential Skills (20 cp)

Develop the skills required to succeed on your computing degree. You’ll learn how to confidently deal with numerical aspects of your course and practice your web publishing skills by creating and formatting basic web documentation.

Professional Development for Industry (20 cp)

This module will enable you to learn about the professional bodies and standards relating to the computing professional, and enhance your employability potential by increasing your awareness of the technological, social and economic factors driving the IT industry.

Foundations of AI 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.

Data Analytics Techniques and Programming (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 techniques to process and discover patterns in data.

Practical Project Management and Professional Development (40 cp)

Continued professional development and lifelong learning are important to your future career. Through this module you’ll improve your time and project management skills, presentations and report writing. This module also includes detailed guidance about the development of your CV and provides experience of selection assessments for industrial placement/graduate employment positions.

Software Design and Implementation (20 cp)

Gain the knowledge and skills in software development techniques to support the development of robust, secure, maintainable and portable software systems.

Systems Software (20 cp)

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

Core modules

Project (40 cp)

Investigate problems in computing, implement solutions, critically evaluate and reflect on your work, and develop your abilities to communicate, self-organise and manage.

Distributed Database Engineering (20 cp)

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

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.

Cognitive Computing (20 cp)

Optional module

Choose one of the following modules:

Advanced Analysis and Design (20 cp)

Understand the object model – what it’s based on and how it can be applied to build systems. Learn how to use the notation and follow the process for object-oriented development.

Service-centric and Cloud Computing (20 cp)

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

Advanced Software Engineering (20 cp)

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

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.


Communicating Science and Technology* (20 cp)

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.

*Communicating Science and Technology will be of interest if you wish to explore teaching as a career route as it involves working with teachers in a school setting.

Don’t just take our word for it, hear from our students themselves

Student Profiles

Branden Millward

Computer Science

The environment at NTU was massively supportive. All of my lecturers were more than happy to take time out of their day to help with projects, as well as giving valuable insight when needed

Video Gallery

Watch our facility tour video to get an insight into the equipment you'll use and what you'll study on the course.
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How you’re taught

The teaching methods used on this course have evolved over a number of years based on feedback, review and reflection. Our approach is to use practical illustration and first-hand experience to enhance learning wherever possible.

Learning is facilitated in a range of different ways. Most modules involve a series of lectures to explain and develop the subject concepts to you. These are accompanied by either seminars or laboratory sessions or sometimes a combination of both. In these you apply the theory from the lectures. This leads to a more thorough understanding of the subject and the development of any practical skills associated with it.

The seminars and laboratories are also often used to help you in coursework assignments, which in themselves help to embed knowledge and develop skills. In the laboratory sessions, staff will help you to explore and use the technology, and give you feedback on your practical work. They will discuss links between theory and practice in these sessions. Some modules have optional surgery sessions to support learners. These are student-driven in that students bring to the sessions questions on any aspects of the module that they are finding difficult.

The nature of the subject means that much of your learning will be computer-aided. As well as using software development environments and packages for coursework implementation tasks, you will also use some computer-aided learning packages and techniques such as online discussion groups. Again, we aim for you to become an engaged learner who takes responsibility for your learning.

Further information

Research informed teaching

Our research is tackling real-world issues – and the people working on this research will be teaching you. It also informs the subjects you’ll be studying with us so you can be sure your knowledge will be cutting-edge in your field. In the last Research Excellence Framework (REF 2021) - the UK's system for assessing the quality and impact of research in universities - we’re proud that 80% of NTU's Computer Science and Informatics submission was assessed to be either world-leading or internationally excellent.

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

Peter FitzGerald

PL - Student and Academic Experience Manager

Computer Science

Find out more about Peter FitzGerald, Principal Lecturer and Student and Academic Experience Manager, in the Department of Computer Science at NTU.

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.

Amir Pourabdollah

Senior Lecturer

Computer Science

Find out more about Dr Amir Pourabdollah, senior lecturer, in the Department of Computer Science at Nottingham Trent University.

David Adama


Computer Science

Find out more about Dr David Adama, Lecturer with the Department of Computer Science at Nottingham Trent University

Joao Filipe Ferreira

Senior Lecturer

School of Science and Technology – Computer Science

João Filipe Ferreira is a Senior Lecturer in Computing in the School of Science and Technology and a researcher at NTU.

Jun He

Associate Professor

Computer Science

Find out more about Jun He, Associate Professor in the Department of Computer Science, at Nottingham Trent University.

Mufti Mahmud

Associate Professor

Department of Computer Science; Computing and Informatics Research Centre; Medical Technologies Innovation Facility

Dr Mahmud is an Associate Professor of Cognitive Computing at the Computer Science department of Nottingham Trent University.

Dr Pedro Machado


Computer Science

Dr Machado is a Senior Lecturer in Computer Science and Course Leader for MSc Artificial Intelligence at Nottingham Trent University.

Careers and employability

Your career development

This course provides a thorough education in computing for industry, meaning you graduate with advanced skills in the development of software and are able to design and manage complex information systems.

Our recent graduates have secured roles at companies including:

  • Next Retail Ltd
  • Vodaphone Ltd
  • Cisco Systems
  • Schlumberger
  • Experian

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

  • Business Analyst
  • Programmer
  • Project Software Implementation Officer
  • Software Quality Assurance Analyst
  • Web Developer

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

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

You will learn in a creative and stimulating environment that will give you the knowledge and transferable skills you need to be ahead of the graduate crowd.

We provide facilities that enhance the quality of our education and push the boundaries of our research. Students have access to specialist centres including:

  • games console laboratories
  • networking and security laboratories
  • human-interactive technology
  • stereo-projection.

Students also enjoy working with the latest software. Examples include:

  • EnCase
  • 3D StudioMax
  • XNA Xbox development suite
  • The Adobe Creative Suite (Flash, After Effects, Photoshop)
  • the Unreal and Half-life Games Engines.

Entry requirements

  • We accept UCAS Tariff points from up to three qualifications
  • GCSE – Maths grade B/6
  • GCSE – English grade 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.

Getting in touch

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

This course is not open to International applicants who require a Student Visa. For alternative courses please see Nottingham Trent International College.

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.

What's included in the course fees?

Your course fees cover all the facilities and support you need to succeed.

  • You will have access to extensive computing facilities, some available 24 hours a day and including technician support.
  • You will have dedicated online storage to support backup of work.
  • You will have access to Microsoft Academic Alliance membership which gives you free copies of all Microsoft developer software including operating systems, Visio and Project.
  • As one of our students, you will be able to join the Oracle Academic Initiative as an individual member and get free database software.
  • Students are able to register for a free personal copy of 3D Studio Max.
  • Extensive equipment is available to loan for coursework and project work. For example, you can borrow cameras and phones.
  • We offer extensive free training software including tutorials on 3D Studio Max, Flash, Photoshop, TCP/IP Packet analysis, Java, Javascript, HTML5, Oracle.
  • Most major software is available across the campus machines, including Adobe Master Collection Suite.

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.


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. 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.

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.

Getting in touch

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

This course is not open to International applicants who require a Student Visa. For alternative courses please see Nottingham Trent International College.

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!

This course is not open to International applicants who require a Student Visa. For alternative courses please see Nottingham Trent International College.

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