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Are you interested in Artificial Intelligence (AI) and how computer science can be used to mimic human behaviour? Would you like to explore the development of AI and its impact on the way we live and work?
On this course, you’ll gain a comprehensive understanding and critical awareness of the main concepts and principles in AI and their application across a wide range of industries.
This course will provide you with knowledge of the underlying principles of AI, machine learning, optimisation techniques and deep learning as well as practical experience of the tools and methods used for applied AI.
Academic experts with industry experience will introduce you to a broad range of subjects including Mobile Application Development, Software Development, Database Systems, AI and Machine Learning, DevOps and MLOps, and AI and Security.
You’ll gain an in-depth understanding of computing and AI and the ways in which computers work and algorithms are developed. You’ll explore some of the current engineering, industrial and commercial applications of AI and use contemporary research to help you identify gaps in the market and develop innovative solutions.
This degree makes extensive use of large cohorts of data (big data) and the application of AI, data science and computational and mathematical modelling. You’ll learn how to analyse data and provide data-driven insight and information for enhanced decision-making.
You’ll apply your knowledge through hands-on projects and assignments that emphasise the practical, real-world applications of AI. You’ll also complete professional work placements allowing you to gain invaluable, relevant experience.
You’ll graduate with the hard and soft skills needed for a career in computer science or AI, including communication, teamwork, problem-solving and digital literacy, alongside the necessary technical, practical programming skills.
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You will study a variety of modules across your programme of study. The module details given below are subject to change and are the latest example of the curriculum available on this course of study.
During your first year, you will study four core modules.
You'll be introduced to the fundamentals required to develop software artefacts fit for real-world organisational and commercial purposes.
Explore three stages of software development: problem specification, programming and architectural design.
We'll look at problem decomposition and programming, mathematical algorithms and computing problems, writing modular code and adopting relevant stylistic conventions and testing in project planning and implementation.
The web is now a ubiquitous medium that crosses platforms from desktop and mobile to the Internet of Things (smart; homes, car, cities) for both personal and collaborative experiences.
The ways in which we design for, develop and deploy these applications constantly evolves, due to the increasing and changing needs of users, society and enterprise. With this in mind, designers need to evolve the way that they design for future platforms.
With a rise in web-based solutions, data driven philosophies are founded upon a platform agnostic approach to designing for the web. This data needs to be stored securely, parsed and presented to the user in a way that builds trust, and is interactive and insightful.
You'll focus on modern web applications in the era of cloud computing.
You'll be encouraged to engage in a comprehensive audit and introspection of your computing skills and career aspirations. The aim is to create a dynamic learning environment that empowers you to not only understand you current proficiency in computing but also to reflect upon and refine your career goals throughout your academic journey.
Learn the basics of computer networking, both from a technical approach and a holistic viewpoint. Enhance your problem-solving abilities, refine your communication skills and acquire a keen attention to detail.
You'll be equipped students with a well-rounded toolkit that goes beyond the technical aspects of computing, preparing you for the multifaceted challenges in your future careers.
You'll also actively participate in a Professional Challenge Project or undertake a meaningful work placement.
Discover the processes of interface design, evaluation and user experience.
You'll cover computer users, interaction technology and concepts, interaction applications, and the context of computer use.
Learn about user interface design using prototyping, and about methods for evaluating user experience. Practise key design and evaluation techniques in the context of your assessments.
In the UX Team Project activities, you'll learn how to work in teams and apply Agile development methods to deliver a UX solution. This may be employer led and be accompanied by a live brief.
During your second year, you will study four core modules.
To tackle real-world problems head-on, you'll be equipped with the tools and techniques using cutting-edge machine learning concepts and techniques. With a focus on practical, problem-solving perspectives, you'll learn the machine learning stages to model intelligent predictive solutions.
You'll have the opportunity to practice a range of algorithms, from fundamental linear regression and decision trees to advanced techniques such as neural networks and deep learning. You'll be able to turn raw data into actionable insights, predict outcomes, and uncover hidden secrets using industry-level tools like MLOps, ML pipelines, scheduled runs, and the cloud.
You'll develop computational thinking as fundamental problem solving expertise within the realm of core computer science knowledge, expected of and utilised by all computing practitioners.
Study the core algorithms and data structures and be introduced to algorithm analysis and basic computability.
Learn about data types such as stacks, queues, trees and graphs, understand time and space complexity, write and explain commonly used algorithms, use a variety of different data structures and understand the concepts of computability and complexity.
Delve into the computational facets of data representation and fostering familiarity with established, proven solutions to recurring problems encountered in various computing contexts and practical applications.
Networks are integral components of most computer systems. You'll be introduced to the fundamentals of networking and networked systems, with the necessary knowledge to explore computer network standards and protocols with a specific focus on security considerations.
Delve into practical skills required to design a network tailored to a particular business scenario, emphasising the importance of incorporating robust security measures.
You'll obtain a combination of theoretical knowledge and hands-on experience to enable you to not only comprehend networking concepts but also apply them in real-world scenarios, ensuring the creation of secure and efficient computer networks.
You'll cultivate the essential project leadership skills demanded by computer practitioners through a people-centric approach.
Through the lens of Agile methodology, you'll engage in a programme-specific group project, immersing themselves in collaborative and dynamic work environments
Your comprehension of the social, professional, ethical and legal dimensions of computing, as well as a focus on equality and diversity within the context of their programme will be reinforced.
This module will act as a crucial preparatory step for your final year project by introducing vital elements such as teamwork, project planning and investigative skills.
The immersive experience not only enhances your technical acumen but also provides ample opportunities for reflection, fostering the development of personal and communication skills crucial for effective teamwork and future employability.
During your final year, you will study four core modules.
Cover principles, methodologies and processes that enable secure and effective end-to-end software product development and deployment.
Build on your software design and development skills gained in earlier modules so you can securely develop, deploy, and retire software using platforms such as Azure and AWS.
You'll mainly be doing practical work, with code review forming a substantial part of the module.
Bring together your learning across previous modules and your elective specialist modules to take on an independent project.
You'll demonstrate advanced skills and knowledge in a specific subject area, define problem boundaries and investigate plausible solutions with reference to wider social and cultural contexts.
The goal is to deliver a software artefact that has real context.
You'll communicate your findings in oral and written forms.
Explore topics from a range of application areas and work with real data to explore and solve known problems with the analysis of different types of datasets through a practical approach to learning by exploring topics through the study of applied examples.
You'll be prepared for roles which combine data analysis with data-driven decision making and be introduced to the basics of big data processing.
Cover the main elements of intelligence and intelligent systems, focussing on machine learning.
Explore ethics and artificial intelligence (AI) regulations from human and machine contexts.
You'll explore how to design a business around AI and AI trends and measure the impact of using such technology.
Get hands-on experience in machine learning algorithms and techniques such as regression/clustering, reinforcement learning and deep learning.
You'll study various real cases of using AI in detecting fraud and fake news, healthcare and battling against chronic diseases.
Experience matters. That's why we embed professional work placements within the majority of our standard undergraduate degrees.
Careers and Placements will work with you to find a placement or help you to arrange your own, whether that's in Leeds, another part of the UK or even abroad. You will be able to take part in a series of workshops, events and live ‘employer challenges’ to boost your confidence and prepare you for your placement.
During your placement, you could have an opportunity to gain degree-relevant work experience, build your knowledge of career sectors and secure valuable employer references and industry contacts. This experience will help you to shape your career decisions and find the right path for you.
Our established links with companies in the Leeds city region means a wide range of business sectors where you can undertake your placement. Previous placement providers include Sky, Infinity Works, Aire Logic and TwentySix Digital.
To find out how we can help you make your career ambitions a reality, visit:
Our Computer Science team are on hand to answer your questions, whether you want to know about the modules you'll be studying, where you can complete your professional placement or the types of assessments you'll do, they are here to help.
A variety of assessment methods are used, matched to the learning outcomes for your programme, allowing you to apply and demonstrate the full range of knowledge and skills that you have developed.
For more details on specific assessment methods for this course contact hello@leedstrinity.ac.uk
Your time on campus, learning through in-person teaching, is at the heart of your academic experience and the way we deliver our programmes. This is supported and further enhanced by additional engagement activities and opportunities provided online and through digital teaching materials. This blended approach seeks to ensure a positive learning and teaching student experience.
Your programme of study has been carefully designed around a three-phase model of delivery:
Preparation, Live and Post teaching and learning and the digital materials used will vary by course, but will be designed to help you structure your learning, take a full and active part in your course, and apply and test your developing knowledge and skills.
At Leeds Trinity we aim to provide an excellent student experience and provide you with the tools and support to help you achieve your academic, personal and professional potential.
Our Learning, Teaching and Assessment Strategy delivers excellence by providing the framework for:
We have a strong reputation for developing student employability, supporting your development towards graduate employment, with relevant skills embedded throughout your programme of study.
We endeavour to develop curiosity, confidence, courage, ambition and aspiration in all students through the key themes in our Learning and Teaching Strategy:
To help you achieve your potential we emphasise learning as a collaborative process, with a range of student-led and real-world activities. This approach ensures that you fully engage in shaping your own learning, developing your critical thinking and reflective skills so that you can identify your own strengths and weaknesses, and use the extensive learning support system we offer to shape your own development.
We believe the secret to great learning and teaching is simple: it is about creating an inclusive learning experience that allows all students to thrive through:
Leeds Trinity University is committed to recruiting students with talent and potential and who we feel will benefit greatly from their academic and non-academic experiences here. We treat every application on its own merits; we value highly the experience you illustrate in your personal statement.
Information about the large range of qualifications we accept, including A-Levels, BTECs and T Levels, can be found on our entry requirements page. If you need additional advice or are taking qualifications that are not covered in the information supplied, please contact our Admissions Office.
| Qualification | Grade |
|---|---|
| UCAS tariff | 112-144 |
| GCSE requirements | GCSEs at grade C or 4 (or higher) are required in English Language and Maths |
Tuition fees cost £9,535 a year for this course in 2025/2026. Students who enrolled in 2024/2025 will also be charged £9,535 for academic year 2025/2026.
Tuition fees for part-time study are charged a pro-rata amount of the full-time equivalent.
Depending on government policy, tuition fees may change in future years.
Tuition fees for 2026/2027 entry will be set in summer 2025.
Living costs, e.g. accommodation, travel, food, will also need to be taken into consideration.
Leeds Trinity offers a range of bursaries and scholarships to help support students while you study.
Visit our webpage for international students.
Part-time study is not available for international students on a Student Route Visa.
We advise students that there may be additional course costs in addition to annual tuition fees:
For full-time undergraduate courses, you apply through UCAS. That's the University and Colleges Admissions Service.
On your application form, you'll need to know our institution code - it's L24 - and the course code. If you click through to the UCAS website using the button below, it'll take you to the right place with all the information you need.
You'll need to write a personal statement - we've prepared a guide to help you.
Applications are now open for courses starting in September 2025. The UCAS application deadline for courses starting in September 2025 is 29 January 2025.
There's lots more information about the application process on the UCAS website, or you can get in touch with our admissions team who will be happy to help:
Providing you with the opportunity to develop the professional skills and experience you need to launch your career is at the heart of everything we do at Leeds Trinity University.
There is increasing demand for graduates with relevant computer science and AI knowledge. Opportunities for careers in AI continue to grow across a variety of sectors, including the tech sector, but increasingly within other areas such as medicine and healthcare, e-commerce, finance, the energy industry, sustainable and green design, the automotive sector, aerospace, defence and government.
This degree aims to prepare you for specialist computer science roles, including algorithm developer, research scientist, big data engineer, machine learning engineer, business intelligence developer/consultant, software engineer, NLP engineer and robotics engineer. Alternatively, the degree provides a solid foundation for postgraduate study or academic research.
After you graduate, Careers and Placements will help you as you pursue your chosen career through our mentoring scheme, support with CV and interview preparation and access to graduate employability events.
To find out how we can help you make your career ambitions a reality, visit:
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