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Are you curious about how technology works and eager to develop strong computing skills? Whether you’re aspiring to launch a professional career in computer science or want a balanced education that combines theoretical knowledge with hands-on experience, then our new Computer Science degree is for you.
Blending technical expertise with interpersonal skills, this course will provide you with a comprehensive learning experience to develop your technical skills and knowledge needed to thrive in the field of computer science and gain impactful careers in the tech industry.
TYPICAL OFFER
A relevant Foundation Degree, HND, or equivalent Level 5 qualification in Computer Science or a related subject.
International qualifications: International qualifications will be assessed against these criteria.
IELTS: IELTS 6.0 with no less than 5.5 in any component.
RPL claims: The course structure actively supports claims for Recognition of Prior Certified Learning (RPCL) or Recognition of Prior Experiential Learning (RPEL).
International qualifications: International qualifications will be assessed against these criteria
IELTS: IELTS 6.0 with no less than 5.5 in any component.
Mature applicants: University Centre Leeds welcomes applications from mature* applicants who may not have met the academic criteria, but who can demonstrate a wealth of experience in their chosen field. Candidates in this category and otherwise are likely to be interviewed to assess their suitability for the course and may be asked to provide a portfolio of evidence to support their application.
*21 years and over at the start of the course
RPL claims: The course structure actively supports claims for Recognition of Prior Certified Learning (RPCL) or Recognition of Prior Experiential Learning (RPEL).
Part Time: Students for part time study are required to hold a full level 3 qualification or the equivalent experience in a relevant subject and will need to be working in the sector.
Computer Science is an ever-important subject and is useful in both the modern world and digital economy. You’ll be encouraged to adopt an analytical approach to Computer Science, transitioning from user to developer and analyst, through critically examining key computing skills and applying new approaches to computing solutions and concepts.
The course offers and array of modules that cover a variety of subjects such as web development, fundamentals of programming, and introductions to networks.
You’ll gain insight into the breakthroughs in artificial intelligence and machine learning, as well as advancements in data science and cloud computing. You’ll explore emerging trends and cutting-edge developments shaping the future of the tech industry.
Designed to balance foundational programming principles with practical, hands-on projects, this degree will help you to write efficient, maintainable code across various languages and paradigms. You’ll gain exposure to industry-standard tools and practices and learn how to break down complex challenges through designing innovative practical solutions.
You’ll also benefit from attending networking events and guest speakers from professionals within the industry to provide you with real-life expertise.
The course is structured in Trimesters and can be delivered as blended or remote learning if needed, ensuring flexibility for diverse learning preferences and circumstances.
This course is subject to validation by The Open University
If you are applying for 2026 entry, you will need to apply through UCAS.
Final Project (40 credits)
This module allows you to carry out an in-depth investigation into a computing related topic of your choice and develop autonomous and self-directed study skills. This project will allow you to demonstrate to potential employers that you have current and up-to-date subject knowledge plus transferable skills and attributes that they are looking for.
Team Project (40 credits)
Students work collaboratively on a large-scale project, applying their knowledge to solve real-world problems.
Business Intelligence Analytical Tools (20 credits)
This module introduces students to business intelligence tools and techniques for analysing and visualizing data, enabling them to make informed decisions based on large datasets in a business context.
Algorithms for Data (20 credits)
This module provides you with the knowledge and skills needed to create effective and impactful data visualisations. You will explore principles of visual design, data storytelling, and the use of visualisation tools to communicate complex data clearly and persuasively.
Modules will be formally assessed and graded through a range of methods, including:
This range of activities provides the opportunity for everyone to demonstrate the knowledge and skills that they will acquire throughout their studies
Benefits include:
The aim of the course is to prepare you for employment and a long and successful career in Computer Science.
You will develop a broad range of skills that can be used across the digital technology sector, providing you with the opportunity to work in a broad range of roles, such as data scientist, data analyst, data warehouse manager, data warehouse analyst/engineer and digital entrepreneurship.
TYPICAL OFFER
A relevant Foundation Degree, HND, or equivalent Level 5 qualification in Computer Science or a related subject.
International qualifications: International qualifications will be assessed against these criteria.
IELTS: IELTS 6.0 with no less than 5.5 in any component.
RPL claims: The course structure actively supports claims for Recognition of Prior Certified Learning (RPCL) or Recognition of Prior Experiential Learning (RPEL).
International qualifications: International qualifications will be assessed against these criteria
IELTS: IELTS 6.0 with no less than 5.5 in any component.
Mature applicants: University Centre Leeds welcomes applications from mature* applicants who may not have met the academic criteria, but who can demonstrate a wealth of experience in their chosen field. Candidates in this category and otherwise are likely to be interviewed to assess their suitability for the course and may be asked to provide a portfolio of evidence to support their application.
*21 years and over at the start of the course
RPL claims: The course structure actively supports claims for Recognition of Prior Certified Learning (RPCL) or Recognition of Prior Experiential Learning (RPEL).
Part Time: Students for part time study are required to hold a full level 3 qualification or the equivalent experience in a relevant subject and will need to be working in the sector.
This course will be delivered at the new University Centre Mabgate campus which is situated on the outskirts of Leeds city centre, making the campus easily accessible by bus/train/motorway networks.
The new campus is equipped with a range of facilities, such as:
Graduates of this course will be prepared to pursue a wide range of careers in technology and computer science, including:
For the latest version of The Open University regulations please click here.
Applications are open for 2026 entry.
To apply directly to study at University Centre Leeds as an international applicant, please visit our 'How to apply' page and complete the steps.
You can also apply through UCAS.
For more information please visit our 'How to apply' page.
Course fees for Undergraduates are £14,000 (GBP)
For 2025 Entry: Scholarship available £3,000 (GBP) all courses.
For 2026 Entry: Scholarship available £4,000 (GBP) all courses.
For more information about fees and scholarships, please click here.
Please see our entry requirements page for additional requirements as an international student
International students will study 5 additional hours on top of the regular timetable.
For more information about visa and immigration, please click here.
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Access your University Centre Leeds Prospectus now.
