Artificial Intelligence

取得日期：2026-10-29

https://www.uwl.ac.uk/course/undergraduate/artificial-intelligence?start=1898&option=33

https://www.uwl.ac.uk/international/your-country/international-entry-requirements/hong-kong

BSc (Hons) Artificial Intelligence | University of West London

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Undergraduate

BSc (Hons) Artificial Intelligence

Full-time

September 2027

Fees per year†

£17,250 – International

£10,050 – UK

Duration

Location

Overview

Course details

Our students

Entry and fees

Facilities

Teaching staff

Related courses

How to apply

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Start date

The importance and potential of artificial intelligence is ever-increasing. On our BSc (Hons) Artificial Intelligence degree, you will gain a comprehensive understanding of computer science in relation to software systems.

This career-focused degree will give you the opportunity to master mathematical, statistical and computing techniques that form the foundation of the AI and machine learning tools used across various industries.

You can also take advantage of studying in one of the world's tech capitals, benefitting from UWL's strong industry links with some of London's largest technology and computing companies.

The course modules, which cover cloud computing, advanced algorithms and machine learning, will help you develop theoretical and practical expertise across various fields and teach you to implement AI systems effectively.

Throughout your Artificial Intelligence degree, you will learn to develop, implement and optimise AI systems, gaining practical experience through projects and lab work.

Why study this course?

Ranked top 50 in the UK and 2nd modern** London university - The Guardian University Guide 2027

Our Computer Science courses are ranked 3rd in London - National Student Survey 2026*

2nd London university for overall student satisfaction - National Student Survey 2026*

Top 20 in the UK for teaching quality - The Times and Sunday Times Good University Guide 2027

Select your desired study option, then pick a start date to

see relevant course information:

Study options:

We support flexible study by offering some of our courses part-time or via distance learning. To give you real world experience before you graduate, we also offer some courses with a placement or internship. All available options are listed here. Your choices may affect some details of your course, such as the duration and cost per year. Please re-check the details on this page if you change your selection.

Duration: 3 years

With Foundation Year

Duration: 4 years

Start date:

If your desired start date is not available,

try selecting a different study option.

What you'll study

Our BSc (Hons) Artificial Intelligence degree aims to give you an in-depth understanding of the AI domain, imparting a comprehensive understanding of the research and professional skills necessary in practice.

During your degree, you will learn to plan, design and implement appropriate AI solutions in practical scenarios.

What skills will I have after completing the course?

On completion of your BSc (Hons) Artificial Intelligence degree, you will be able to:

meet employer requirements for a well-trained, adaptable computer science and AI professional

be highly numerate and able to apply the skills gained on the course in AI and numerical modelling to work-based scenarios

be an independent learner able to acquire new skills and adapt to a rapidly changing job market.

As well as a professional acumen, you will also gain key soft skills which are desirable in all professions:

strong communication, interpersonal, and teamwork skills

understanding of ethical issues (sensitivity required in data handling and decision-making).

As part of your degree, you will have access to a wide range of facilities, from social spaces and first-class study environments to modern computer labs with an array of industry-grade equipment and software.

Additionally, knowledge of ethical AI is now embedded across our curriculum, equipping you with the digital skills needed to flourish in the increasingly AI-driven digital workplace.

Based in the heart of Ealing, west London, you can make use of the excellent transport links to travel to the capital or further afield.

London is well known for its concentration of high-technology industry, including many of the big names in technology and computing companies, alongside digital media, computer games and electronic commerce.

The School of Computing and Engineering has close connections with many of these organisations via collaborative projects, staff secondments and visiting industrial staff.

Please note, we regularly review our course content to offer relevant, impactful and career-shaping learning. Therefore, the following modules are indicative and subject to change.

Also, knowledge of ethical AI is now embedded across our curriculum, equipping you with the digital skills needed to flourish in the increasingly AI-driven digital workplace.

Compulsory modules

Probability and Statistics

This module is an introduction to probability theory and statistical methods. The module leads to a deeper understanding of probability distributions, random variables and their role in sampling. Tools such as hypothesis testing are presented and a basic introduction to the statistical software SPSS is provided.

Linear Algebra

The aim of this module is to extend your knowledge of matrices, vectors and systems of linear equations and to introduce the abstract concepts of vector spaces, linear maps and inner products.

Programming

This module provides a thorough grounding in the fundamentals of Java programming language and object programming concepts. It will focus on the design and build of Java desktop applications using the Java Development Kit and popular Integrated Development Environments, following established industry standard methodologies. The module will have a strong emphasis on using OO modelling techniques to interpret and implement business related applications.

Algorithms and Data Types

This module will help you to gain the knowledge and competence to deal with basic data structures and algorithms. You will learn how to specify collections using abstract data types (ADTs) and to implement them using a variety of techniques such as linked lists and trees. You'll also use a range of algorithms, including searching and sorting.

Information Systems and Databases

This module will introduce you to information systems theory and explore how databases underpin IS systems. The module will also examine the principles and techniques involved in implementing relational databases. It will cover database environments, database analysis and database design and will also give an introduction to database security and transaction management. Oracle will be used to explore the capabilities of SQL and to construct a small relational database.

Data Science and Visualisation

Cloud Computing

On this module, you will design and build cloud-based services and applications. The module introduces core concepts and technologies in cloud computing, distributed systems and security, providing a solid foundation in cloud architectures and their underlying principles. Through a comprehensive and systematic approach, you will explore various cloud architecture models, understand industry standardisation and practice major cloud provider platforms.

Artificial Intelligence

This module will introduce you to the fundamentals of AI, with a focus on:

the structures, resources and processes that together make up an "intelligent" agent

the techniques, models and tools that can be used to simulate the "intelligent" processes

the skills and capabilities necessary to critically review AI literature and/or products, to synthesise ideas, to systematically solve AI problems and to communicate effectively.

You will gain the knowledge and skills required to understand the fundamentals of AI, to solve real-world problems more “intelligently” and, ultimately, to build intelligent artefacts.

Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are many tools used in AI, including mathematical optimisation, logic, probability, and many others. AI has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.

Theory of Computation

The aim of this module is to provide you with the knowledge and understanding of fundamental concepts of computational theory and computational complexity. You will learn how to examine whether a given problem can be solved computationally. The module aims to introduce computation science, modelling complex dynamic systems and diagramming models.

Applications of Artificial Intelligence

This module will provide you with a deep understanding of artificial intelligence (AI) concepts, tools, techniques and their applications in solving real-world problems. You will develop practical skills in designing, implementing and evaluating AI-based solutions, gaining insights into both theoretical foundations and practical applications relevant to AI and data science. The module will cover extensive examples of applied AI and relate the covered topics to other modules within the programme providing a practical context from industry and day-to-day use of AI.

Computing Group Project

The aim of this module is to provide you with the experience of working collaboratively as part of a project team. The module will provide opportunities for you to adopt different project team roles in order to deliver a solution for a real-world client.

Advanced Algorithms

This module aims to introduce algorithms using pseudocode and to provide you with a basic of understanding of how to write and analyse algorithms, and computational complexities.

Machine Learning

This module is intended to cover fundamental theory and algorithms of machine learning, as well as recent research topics. Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

Computer Vision

This module will explore the advanced principles and techniques currently being used in real-world computer vision systems, and the research and development of new systems.

Computer vision lets computers gain high-level understanding from digital images or videos, and seeks to automate tasks that the human visual system can do. It has become ubiquitous with applications in search, image understanding, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, segmentation, localisation and detection.

In this module you will learn how digital images are formed, how they are represented and stored on computers, and how they can be processed by computers to extract semantic information. You will have the opportunity to develop algorithms for detecting interesting features in images, design convolutional neural networks to perform tasks such as image classification, and explore techniques for solving real-world problems such as object detection. Relevant programming language (e.g. Python, OpenCV, MATLAB, etc.) will be used for model developments.

Natural Language Processing

Optional modules

Robotics and AI

Human-Centred Computing

This module is about human and technical aspects of interactive computing systems and organisations. In the course of taking this module, you'll consider the interplay between human users, designers, developers and computers. Therefore, its basis is in psychology and human factors as well as in software engineering and interaction design.

What our students say

2nd London university for student satisfaction - National Student Survey 26*

My university experience was vibrant and exciting, especially getting the opportunity to meet a variety of students who were studying on different courses. The course has given me a great opportunity for work and experience for the future.

Oliver Stokes

Entry requirements

Requirements:

International

120 UCAS points required

from level 3 qualifications

120 UCAS points required from level 3 qualification with relevant mathematics and/or computing contents.

In addition, you will need GCSE English and Maths (grade 9-4/A* - C), or level 2 equivalents.

Looking for BSc (Hons) Artificial Intelligence with Foundation Year?

View Foundation Year course

Whether you are changing career or don't have the exact subjects and grades required for this course, you might want to choose this course with a foundation year. This will give you an extra year's study to prepare you for the standard degree programme, where you can go on to graduate with a full Honours degree. Follow the link to see full details of the course with foundation year.

Mature applicants (aged 21+): If you do not hold the qualifications listed but have relevant work experience, you are welcome to apply. Your application will be considered on an individual basis.

Level 5 (year 2) entry

To directly enter the second year of this course, you will need to show appropriate knowledge and experience. For example, you are an ideal candidate if you have 120 undergraduate credits at Level 4 or a CertHE in a related subject area.

Level 6 (year 3) entry

To directly enter the third year of this course, you need to show appropriate knowledge and experience. For example, you are an ideal candidate if you have 240 undergraduate credits (at Levels 4 and 5), a DipHE, foundation degree or HND in a related subject area.

6.0 IELTS or above

You need to meet our English language requirement – a minimum of IELTS 5.5 for each of the four individual components (Reading, Writing, Speaking and Listening). Visit our English language requirements page for information on other English language tests we accept.

You also need academic qualifications at the same level as UK applicants. In some countries where teaching is in English, we may accept local qualifications. Check for local equivalents.

We offer pre-sessional English language courses if you do not meet these requirements.

Find out more about our English Language courses.

Fees & funding

Funding:

per year†

Please note:

Fees for the 2027/28 academic year and onwards may be subject to Government regulation and change.

Tuition fees are charged for each year of your course. If your course runs over 2 academic years or more, you will need to pay the fee for each academic year at the start of that year, except if otherwise stated.

If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.

Funding your studies

You may be eligible for a student loan to cover the cost of tuition fees or a maintenance loan. Additional funding is available to some types of students, such as those with dependents and disabled students.

We offer generous bursaries and scholarships to make sure your aspirations are your only limit.

View full details, including conditions and eligibility.

International students - funding your studies

We offer scholarships for international students including International Ambassador Scholarships.

Further information about funding and financial support for international students is available from the UK Council for International Student Affairs.

Financial support for international students

Computer Science facilities

Explore the Computer Science facilities within our School of Computing and Engineering, from the Artificial Intelligence Lab to Robotics to our new Digital Futures Lab for gaming and VR.

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SEGA Lab

The lab provides access to GPU-accelerated workstations that support AI development, simulation, data science, and cyber security experimentation. You will have the opportunity to work with systems that reflect current industry practice.

Computing labs

Our computing labs offer numerous computers, most of which are equipped with wide-screen monitors. The latest computer room offers 27-inch screens.

UWL Libraries will help you to succeed as you progress through your studies. Find out more information about our libraries.

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Your future career

The skills and knowledge you will develop on our Artificial Intelligence degree can lead to many career opportunities and jobs in AI and beyond. You will excel in using AI methods for problem-solving and decision-making, making you a key expert in a cutting edge, highly desirable field.

You may also continue your studies and pursue a Masters degree. See our Artificial Intelligence and Computer Science subject pages to find a Masters degree that's right for you.

Career-focused modules

Taught by lecturers with industry experience

Contacts with major technology companies

On campus, specialist careers fairs

One-to-one, life-long careers support

Support with CV and interview skills

Alumni networking events

Work on real-world industry projects

Job roles

software consultant

AI or machine learning engineer

data scientist

research scientist

deep learning engineer

robotics scientists.

Dr Nasim Dadashi Serej Course Leader

Nasim is a lecturer at the School of Computing and Engineering, specialising in Artificial Intelligence (AI) applications in healthcare. Her research focuses on harnessing AI to address complex challenges in medical data analysis, working closely with clinicians and healthcare organisations to deliver impactful solutions.

Her research interests include machine learning, deep learning, computer vision, 3D scene analysis and natural language processing. She also has a robust background in computing, encompassing stochastic search methods, combinatorial optimisation and medical image-guided interventions and surgeries.

View more

View full profile

Dr Eman Alajrami

Dr Sama Aleshaiker

Dr Fateme Dinmohammadi

Dr Shidrokh Goudarzi

Show more

How to apply:

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Head to the UCAS website where you can apply using:

our institution code - W05

the UCAS course code (below)

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You can apply to us in two ways:

on the UCAS website you will need our institution code (W05) and the UCAS course code (see top of page)

directly on our website – follow the ‘Apply now’ link

Want to ask us a question first? Our dedicated international students’ team would love to hear from you.

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Disclaimer

†Fees - the published fee is an annual fee, payable each year, for the duration of the course. Fees are subject to change. Home tuition fees may be subject to annual increases but will not increase by more than the fee caps as prescribed by the Office for Students or such other replacing body. Full-time taught international fees are subject to an annual increase.

Teaching - your course will primarily be delivered in-person, however it may include delivery of some activities online, either in real-time or recorded.

Testimonials - quotes are provided by current or former UWL students. These are mostly from the course but quotes from a UWL student on another course may be used if, for example, the course is new.

Optional modules - where optional modules are offered they will run subject to staff availability and viable student numbers opting to take the module.

Videos - all videos on our course pages were accurate at the time of filming, however staff and course content may have since changed.

Availability of placements - if you choose a course with placement/internship route and a placement/internship opportunity does not arise when you are expected to undertake the placement then the University will automatically transfer you to the non-internship route, to ensure you are still successful in being awarded a degree.

Rankings

*The National Student Survey 2026 result is based on the average of all answers by the taught student populations.

**Modern universities - defined as higher education institutions that were granted university status in, and after, 1992.

***PRES - rank out of 53 institutions.

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