Develop the creative, technical and transferable skills you need to thrive in your career with an accredited Computer Science degree from LTU.
We’ve designed the course in partnership with leading tech employers such as Sky and Infinity Works who want to hire graduates with a blend of technical and transferable skills.
You’ll design and develop applications to solve real-world problems and work closely with tech companies throughout your degree.
We'll teach you everything you need to know to design, develop, test and launch new products, as well as the soft skills tech employers need for you to be part of a flexible and dynamic team.
Tech employers are involved in every aspect of the degree, from inputting into the modules you'll study, to setting some of the projects you’ll work on.
You’ll meet them through guest lectures and work with them during the industry led events included in your degree.
You can specialise in exciting areas of computer science such as artificial intelligence, cyber security and software engineering.
You'll have the chance to graduate with an impressive portfolio and the skills employers want, as well as the connections to help kickstart your career.
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.
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 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.
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.
You'll gain both a theoretical understanding and hands-on experience related to the current best practices in software engineering.
We'll look at the principles of software engineering principles, development of artefacts, design quality, technical evaluation and testing.
You'll be equipped with the comprehensive skillset that reflects the latest and most effective approaches in the field of software engineering including requirements in engineering and modelling, configuration and testing techniques.
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.
Through the lens of agile methodology, you’ll engage in a programme specific group project immersing yourself in a collaborative and dynamic work environment.
Your understanding of social, professional, ethical and legal dimensions of computing will be reinforced as well as a focus on equality and diversity. This module acts a crucial preparatory step for your final year project and introduces vital elements such as teamwork, project planning and investigative skills.
You’ll have opportunities for reflection, fostering the development of personal and communication skills crucial for effective teamwork and future employability.
You’ll also have the opportunity to take part in a professional placement, where you’ll focus on developing important employability skills and industry knowledge.
During your final year, you will study four core modules.
Delve into the essential underlying technologies that underpin mobile applications, enhancing development skills to create software tailored for mobile devices.
You'll be equipped with the proficiency to conceptualise and design successful mobile applications.
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.
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.
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.
Experience matters. That's why we embed professional work placements within the majority of our standard undergraduate degrees.
Careers+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.
We work closely with a wealth of tech companies in the Leeds city region to secure professional placement opportunities which will help you further develop your skills and confidence in the workplace. Recent 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:
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.
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.
The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.
| UCAS tariff | 112-104 |
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.
As part of your application, you'll need to write a personal statement - we've prepared a guide to help you.
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.
Modern computer science roles are numerous and varied, ranging from AI developer to UX/UI designer, Scrum Master and Cyber Security Analyst. These roles require a far more diverse skill set than the traditional stereotype would have you believe.
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: