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Are you curious about how technology works and eager to develop strong analytical 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 (Data Analysis) foundation degree is for you.
Blending technical expertise with interpersonal skills, this course will provide you with a solid understanding of programming, algorithms, and systems necessary for working with large datasets and deriving meaningful insights as you progress into industry.
TYPICAL OFFER
UCAS Tariff Points: 48 UCAS tariff points from two A-levels (or equivalent qualifications)
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.
About the course
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.
This foundation degree course offers an 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 Luminate Education Group
If you are applying for 2026 entry, you will need to apply through UCAS.
Level 4 (Year 1)
Introduction to web development (20 credits)
This module will provide you with an opportunity to develop & demonstrate the technical and creative skills required in the design, construction and management of an effective website interface. It will focus on the UX and UI of web design, while also considering the limitations of some platforms.
Principles of Software Development (20 credits)
In this module, you will gain an understanding and experience of software development methodologies, techniques, and tools, including Agile based methodologies. You will gain experience developing a software solution to meet the requirements gathered from a client.
Fundamentals of Programming (20 credits)
You will gain an understanding of programming principles, techniques and languages, including the ability to design, code and test a series of programs which demonstrate common programming concepts.
Intro to Networks Core (20 credits)
You will gain an understanding of networks hardware, protocols, and tools. You will learn how to plan, model, and test networks to meet prescribed requirements, design network address schemes, and configure network protocols, for efficiency and security.
Intro to Databases (20 credits)
This module provides a foundational knowledge of data storage techniques and principles, preparing you for more advanced topics such as AI and Big Data. You will be given the opportunity to demonstrate the practical aspects of designing and building a relational database to hold structured data. By conducting research into your chosen database this will prepare you for research into data landscape.
Level 5 (Year 2)
Employability (20 credits)
This module is centred on cultivating the comprehensive skill set demanded by modern employers, focusing on invaluable 'soft skills,' alongside essential practical abilities crucial for interviews and coding tests. This module will encourage you to conduct thorough research into prospective employers, to tailor your skillset to meet the specific demands of the organisation/market.
Emerging Trends and Cloud Computing (20 credits)
Within the computing and digital industry there are a wide variety of specialist roles that provide solutions to business, manufacturing, crime prevention and investigation, retail, and health and medical. This module provides you the opportunity to work as part of a group to investigate emerging trends and technologies surrounding subject specialism.
Application of Artificial Intelligence (20 credits)
The module provides a comprehensive introduction to the development and different applications of artificial intelligence. This module will provide you the opportunity to integrate an AI project that aims to create a more efficient workflow of a business or solve an existing problem.
Research (20 credits)
Teaches students research methodologies and critical analysis, preparing them for their final project.
Computational Stats (20 credits)
This module provides students with the statistical and computational tools necessary for analysing complex data sets, emphasizing the application of statistical methods to solve problems in computer science and data analytics.
Data Analysis and Visualisation (20 credits)
This module focuses on extracting insights from complex data sets and presenting them effectively through visualization techniques, fostering the ability to communicate data-driven findings to diverse audiences
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.
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 able to continue onto our Level 6 BSc (Hons) Computer Science (Data Analysis) (Top-up)
You will be given the opportunity to develop skills across a wide range of computer science disciplines, learning to programme software applications, develop websites and mobile apps. You will learn the vital skills in database design, learning how to collect, store, extract and analyse data, you will also explore the exciting world of Artificial intelligence and machine learning.
You will also develop as an individual, learning to appreciate the computing industry form an employers perspective, honing the skills employers are looking for that will compliment your technical skills. One of the aims of the course is to prepare you for employment and a long career in the digital sector.
Finally, you will develop a range of skills that can be used across the digital technology sector that will provide you with the opportunity to work in a broad range of roles, such as a Computer Programmer, Software Developer, Web and Mobile Developer, Database specialist.
TYPICAL OFFER
UCAS Tariff Points: 48 UCAS tariff points from two A-levels (or equivalent qualifications)
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.
For the latest version of the University Centre Leeds 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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