- Undergraduate
Artificial Intelligence with Foundation Year BSc (Hons)
Overview
Why study at the University of West London?
- Ranked 30th university in the UK - The Guardian University Guide 2025
- Number 1 London university for overall student satisfaction - National Student Survey 2024**
- Best university for Student Experience and Teaching Quality in the UK - The Times and Sunday Times Good University Guide 2024
Why study this course?
This artificial intelligence degree provides a comprehensive understanding of computer science in relation to software systems. The course modules, which include 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 the degree, you will have the opportunity to master mathematical, statistical, and computing techniques that form the foundation of the AI tools used across various industries. You will learn to develop, implement, and optimise AI systems, gaining practical experience through projects and lab work.
The importance and potential of AI is ever-increasing. In its white paper titled Industrial Strategy - Building a Britain Fit for the Future, the UK Government prioritises AI and data revolution to lead future industries by embedding AI nationwide.
Foundation Year
The foundation year course is designed to equip you with the skills and knowledge you need to continue onto your Honours degree. You will study a range of subjects that will underpin your future study and also gain valuable experience of university life, with full access to campus facilities. Successful completion of the year allows you to progress straight onto Level 4 of this course. Please note that a £2000 Path to Success bursary is available to all UK foundation year students, which is non-repayable.
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Why study Artificial Intelligence with Foundation Year with us?
What our students say…
Course detail & modules
The course aims to give you an in-depth understanding of the AI domain, impart a comprehensive understanding of the research and professional skills necessary in practice.
During the Artificial Intelligence 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 the 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, the course also aims to instil in you soft skills 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 the course, you will have access to a wide range of facilities, from social spaces and state-of-the-art study environments to modern computer labs.
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.
Foundation year
There are many reasons for joining a foundation year course; you may not have the exact subjects or grades at A level to meet the entry requirements, you may have been living abroad or want to change direction with your career. Whatever your starting point, the foundation year offers a firm grounding in the skills and knowledge that you will need to get the most from your studies and thrive at university. Successful completion of the foundation year allows you to progress straight onto Level 4 of this course.
Compulsory modules
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Personalised Learning
The Personalised Learning module is intended to equip you with the study skills needed to successfully progress onto level 4, the first year of undergraduate study. Tutor group sessions are an integral part of the module, where you will consolidate your learning and frame it in the context of your subject area. The module will focus on various aspects of study skills, such as those skills related to reading and writing, learning approaches, problem-solving techniques, critical thinking, researching, referencing, plagiarism, legal research and time management.
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Introduction to Statistics
This module aims to provide a basic knowledge of how to summarise, analyse and interpret data, provide an overview of sampling and experimentation in the mathematical sciences and engineering field, and deliver an introduction to modelling a linear relationship between variables.
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Introduction to Computer Technologies
Some of the technologies you will cover include:
Hardware (computer systems)
- CPU
- memory
- motherboard
- hard drive disk
- secondary storage
- graphic cards
- sound cards
- input and output devices
- peripherals (printers, mobile computing devices, tablets, smartphones, etc)
Software
- system software: operating systems, utility programs
- application software: general purpose application software, special purpose application software, bespoke application software
Communication Technologies
- computer networks and components
- protocols and communication methods
Social and Economic Impact
- automation
- cloud computing
- Internet of Things
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Study Skills for Success
This module will enable you to read critically, present an argument, and distinguish between the quality and suitability of materials. It will prepare you to use and evaluate a range of evidence sources throughout your degree.
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Introduction to Web Design and Development
You will cover the basics of web design and development, learning how to integrate text, graphics and behaviour to create interactive webpages using HTML5, CSS3 and Javascript.
Other aspects will be covered such as historic development of the web, architecture and basic client server architecture, protocols such as HTTP, issues of accessibility and usability, standards and standardisation organisations (W3C, Internet Working Group) and security (HTTPS, firewalls, certificates).
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Introduction to Computing Mathematics
You will learn the core mathematical skills and statistical concepts and techniques to be able to effectively analyse and present information.
You will develop skills in expressing problems in mathematical language, finding solutions to problems and communicating mathematical ideas clearly and succinctly.
You will gain essential mathematical skills that will prepare you for other modules.
Compulsory modules
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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.
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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.
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Programming
The 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.
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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.
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Information Systems and Databases
This module aims to introduce students to information systems theory and to explore the way that 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, 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.
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Data Science and Visualisation
Compulsory modules
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Cloud Computing
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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 problem more “intelligently”, and ultimately to build intelligent artefacts.
Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are a large number of tools used in AI, including mathematical optimization, 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.
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Theory of Computation
You will gain 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.
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Applications of AI
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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.
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Advanced Algorithms
Compulsory modules
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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.
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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.
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Natural Language Processing
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Project
Optional modules
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Robotics and AI
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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.
Entry requirements
72 UCAS points from level 3 qualifications with relevant mathematics and/or computing contents.
Looking for BSc (Hons) Artificial Intelligence without Foundation Year?
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 dependants and disabled students.
Looking for BSc (Hons) Artificial Intelligence without Foundation Year?
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.
Looking for BSc (Hons) Artificial Intelligence without Foundation Year?
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 dependants and disabled students.
Looking for BSc (Hons) Artificial Intelligence without Foundation Year?
Fees & funding
Please note:
- Fees for the 2026/27 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 for two years or more, you will need to pay the fee for each academic year at the start of that year.
- If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront.
- 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 dependants and disabled students.
Foundation year bursary
If you are a UK student joining a foundation year course with UWL, you will receive a £2000 Path to Success bursary to support your studies. This is not a loan and does not need to be repaid. You will receive £500 per year subject to your attendance, engagement and progression through your studies.
To find out more, explore our Undergraduate scholarships and bursaries page.
Please note:
- Fees for the 2026/27 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 for two years or more, you will need to pay the fee for each academic year at the start of that year.
- If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront.
- If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.
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.
Teaching staff
Dr Nasim Dadashi Serej
I received my PhD as the first-ranked bioelectrical and biomedical engineering student from Tehran University of Medical Sciences, Tehran, Iran. For the past six years, I worked as an assistant professor in the Department of Advanced Technologies in Medicine at Isfahan University of Medical Sciences, Iran. My research was focused on image and video analysis for medical data through effective cooperation with clinicians. I had leadership positions in multiple projects for pre-processing, segmentation, and classification of medical image data from different modalities (Ultrasound, CT scan, X-ray, cone-beam CT, MRI, fMRI, endoscopy, and colonoscopy). All projects included real-world, large, noisy and imbalanced datasets, requiring in-depth knowledge of data processing and visualisation, to be interpreted correctly. I joined the School of Computing and Engineering at the University of West London as Senior Research Fellow in 2023.
My research interests include Medical Data Analysis, Machine learning / Deep Learning, Image Processing and Computer Vision, Time-frequency methods, Medical Image-guided Interventions, and surgery.
I received my PhD as the first-ranked bioelectrical and biomedical engineering student from Tehran University of Medical Sciences, Tehran, Iran. For the past six years, I worked as an assistant professor in the Department of Advanced Technologies in Medicine at Isfahan University of Medical Sciences, Iran. My research was focused on image and video analysis for medical data through effective cooperation with clinicians. I had leadership positions in multiple projects for pre-processing, segmentation, and classification of medical image data from different modalities (Ultrasound, CT scan, X-ray, cone-beam CT, MRI, fMRI, endoscopy, and colonoscopy). All projects included real-world, large, noisy and imbalanced datasets, requiring in-depth knowledge of data processing and visualisation, to be interpreted correctly. I joined the School of Computing and Engineering at the University of West London as Senior Research Fellow in 2023.
My research interests include Medical Data Analysis, Machine learning / Deep Learning, Image Processing and Computer Vision, Time-frequency methods, Medical Image-guided Interventions, and surgery.
Study & career progression
The skills and knowledge you will develop on our AI course can lead to many career opportunities and AI jobs. You will excel in using AI methods for problem-solving and decision-making.
As a BSc in Artificial intelligence graduate, you can pursue a career as a:
- software consultant
- AI or machine learning engineer
- data scientist
- research scientist
- deep learning engineer
- robotics scientists.
Further study
You may also continue your studies and pursue a master's degree. See our Computer Science and Mathematics and Statistics subject pages to find a master's degree that's right for you.
How to apply
Head to the UCAS website where you can apply using:
- our institution code - W05
- the UCAS course code (below)
Want to ask us a question first? We would love to hear from you. Contact us free on:
Apply for this course
- Institution code
- W05
- UCAS code
- currentVariantData.field_p_cv_ucas_code
Next steps after making your application
We aim to make a decision on your application as quickly as we can. If we need any more information about your qualifications, we will be in touch.
In the meantime, come and visit us and find out more about what studying at UWL is like. Sign up for an open day or join a campus tour.
Visit us and see for yourself
Talk to our tutors and find out about our courses and facilities at our next open day or join a campus tour.
Our prospectus
All of our courses in one place - download now or order a hard copy.
We're here to help
Any questions about a course or studying at UWL? We're here to help - call us on 0800 036 8888 (option 2, Monday – Friday 10am-4pm) or email us on courses@uwl.ac.uk.
You can apply to us in two ways:
- on the UCAS website you will need our institution code (W05) and the UCAS course code (at the top of this page)
- directly on our website – follow the ‘apply now’ link below
Want to ask us a question first? Our dedicated international students’ team would love to hear from you.
- Ask the International Recruitment Team a question
- learn more about international student applications
- find out more about why you should study in London at the Career University.
Apply for this course
Next steps after making your application
We aim to make a decision on your application as quickly as we can. If we need any more information about your qualifications, we will be in touch.
In the meantime, come and visit us and find out more about what studying at UWL is like. Sign up for an open day or join a campus tour.
Visit us and see for yourself
Talk to our tutors and find out about our courses and facilities at our next open day or join a campus tour.
Our prospectus
All of our courses in one place - download now or order a hard copy.
We're here to help
Any questions about a course or studying at UWL? We're here to help - call us on 0800 036 8888 (option 2, Monday – Friday 10am-4pm) or email us on courses@uwl.ac.uk.
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Student life at UWL
Important notes for applicants
Disclaimer
*Modern universities - defined as higher education institutions that were granted university status in, and subsequent to, 1992.
**The National Student Survey 2023 and 2024 - Average of answers to all questions by registered student population. Excludes specialist institutions.
Testimonials - our students or former students provided all of our testimonials - often a student from the course but sometimes another student. For example, the testimonial often comes from another UWL student when 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. In some cases a new Course Leader has joined the University since the video was filmed.
Availability of placements - if you choose a course with placement/internship route we would like to advise you that if 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, this is to ensure you are still successful in being awarded a degree.