About this course
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.
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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.
Study abroad opportunities
Get ready to embark on an adventure with our study abroad programs at partner universities or by getting a work placement overseas. Both opportunities will boost your employability, build lifelong friendships, and allow you to experience the world in a whole new way.
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 Computer Programming
You will be introduced to the approaches for planning and developing programmes using modern high-level language. Working on developing solutions through programming that tackle real-world problems, you’ll develop the key fundamentals you’ll build on throughout your course.
Foundations of Computer Technology and Mathematics
This module builds essential knowledge for your course, covering computer system fundamentals and mathematical reasoning. You'll develop an understanding of how computers work at a fundamental level while enhancing problem-solving skills through mathematics.
Computer Science Programming
Learn about programming languages relevant to software with industrial scale, reliability and performance characteristics.
Computer Technology and Mathematics
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)
Introducing you to the fundamental principles of SAD, this module gives you a working knowledge of key systems development methodologies, techniques and tools.
Academic and Professional Development
This module will enable you to learn about the professional bodies and standards relating to the computing profession, 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)
Learn how to develop systems capable of autonomously making decisions based on their surroundings. This module brings together cutting-edge approaches from computer science, digital electronics and embedded systems, the Internet of Things (IoT), robotics and artificial intelligence.
Optional module - choose one:
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.
We regularly review and update our course content based on student and employer feedback, ensuring that all of our courses remain current and relevant. This may result in changes to module content or module availability in future years.
Don’t just take our word for it, hear from our students themselves
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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.
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.
How you're assessed
People excel in different ways, and we want everybody to have the best possible chance of success. That’s why we’ve adopted a range of assessment types, including:
- coursework, including group projects, case studies, dissertation and other assignments
- practical assessments, such as individual and group presentations, laboratory assessments and reports
- exams and tests, including formal exams, written tests and multiple-choice.
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’ll mainly be studying in the Interdisciplinary Science and Technology Centre (ISTeC) with access to facilities including a Games Development Lab Robotics lab and a High Performance Computing Suite.
Our self-contained, community-focused Clifton Campus has been designed to keep students busy between lectures. Catch-up with your course mates in the Pavilion’s barista café and Refectory; brainstorm group presentations in chic and stylish study spaces; enjoy some proper R&R in The Point, home of our Students’ Union. The campus also hosts the multimillion-pound Clifton Sports Hub, offering great options for everyone — whatever your interests, and however competitive you’d like to get!
You’re also right next to the bright lights of ŷÃÀ¾ÞÈé — one of Britain’s top 10 student cities, and one of Europe’s top 25. All through termtime, a dedicated on-campus bus service will get you to the heart of the action (and back) in under 25 minutes. You’ll find a city stuffed with history, culture, and well-kept secrets to discover at your leisure: enjoy lush green spaces, galleries, hidden cinemas and vintage shopping by day, and an acclaimed food, drink and social scene by night.
Entry requirements
UK students
- Standard offer: 72 UCAS Tariff points from up to three A-levels or equivalent qualifications
- Other requirements: GCSE Maths grade B / 6 and English grade C / 4
To find out what qualifications have tariff points, please use our tariff calculator.
Additional requirements for UK students
There are no additional requirements for this course.
Contextual offers
If you don’t quite meet our entry requirements, we might be able to make you a lower offer based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and your individual circumstances (you may have been in care, for example). This is called a contextual offer, and we get data from UCAS to help make these decisions. We do this because we believe everyone with the potential to succeed at NTU should have the opportunity to do so, no matter what barriers you may face.
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.
Other qualifications and experience
NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.
We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.
Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.
Getting in touch
If you need more help or information, get in touch through our enquiry form.
Å·ÃÀ¾ÞÈé students
- Academic entry requirements: 72 UCAS Tariff points from up to three A-levels or equivalent qualifications. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.
- Other requirements: GCSE Maths grade B / 6 and English grade C / 4
- English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.
Additional requirements for international students
There are no additional requirements for this course.
English language requirements
View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.
If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.
Other qualifications and experience
If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.
You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.
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Sign up to receive regular emails from the Å·ÃÀ¾ÞÈé Office. You'll hear about our news, scholarships and any upcoming events in your country with our expert regional teams.
Getting in touch
If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.
Policies
We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.
