About this pathway
Your route to future-focused degrees in Artificial Intelligence, Engineering, Data Science and Computer Science.
If you're passionate about technology, innovation and problem-solving, this pathway provides the ideal foundation for university study.
You'll build essential knowledge in mathematics, computing and engineering while developing the academic English and study skills required for degree-level success.
Whether you aspire to work in artificial intelligence, software development, engineering, data science or emerging technologies, this programme will help prepare you for progression to a wide range of undergraduate degrees and future careers.

Why Choose Computing & Engineering?
- Progress to leading UK university degrees
- Prepare for careers in high-growth technology sectors
- Build strong foundations in mathematics, computing and engineering
- Develop academic English and university study skills
- Learn from experienced tutors in a supportive environment
- Study in London or Eastbourne
- Receive guidance on choosing the right degree pathway

Key facts
Age
16 and above
Locations
London or Eastbourne
Start dates
Next intake: January 2027.
Induction start date: 4th January 2027.
Course length
Two-semester (one year)
12 weeks teaching and 1 final week of summative assessment per semester
English Language Requirements
IELTS 5.0 (minimum 4.5 in all skills) or equivalent.
View the latest entry requirements.
Core modules - You will study all of the following core modules:
This module provides you with thorough training in the language and related academic skills which will enable you to achieve your academic potential at university. You will develop awareness and competency in a range of language-related skills required for successful university study, including academic writing, effective reading strategies, how to participate in seminars and deliver presentations, and listening to and recording information effectively from lectures. You will learn how to communicate accurately in written and spoken English with clarity and confidence.
This module provides you with a strong foundation in mathematical modelling and core mathematics skills, preparing you for undergraduate study in subjects with a significant mathematical focus. It enhances your mathematical skills and problem-solving techniques while developing your ability to assimilate and communicate highly technical information.
This module enhances your understanding of statistics and its application to complex sustainability challenges in Science, Engineering, and Business. Aligned with the United Nations’ Education for Sustainable Development (ESD) goals, it teaches you to apply statistical expertise to real-world problems while developing project planning, management, and effective communication skills.
And one optional module:
This module offers you a comprehensive introduction to fundamental concepts in physics. It also develops your skills in interpreting mathematical models, and teaches you to conduct, evaluate, and analyse experimental data.
Potential careers
This pathway can lead to degrees that support careers in:
- Artificial Intelligence (AI)
- Computer Science
- Data Science
- Software Engineering
- Computer Games Development
- Electronic Engineering
- Mechanical Engineering
- Civil Engineering
- General Engineering
Technology and engineering professionals play a vital role in solving global challenges and driving innovation. From developing AI solutions and designing sustainable infrastructure to creating advanced software and engineering new technologies, graduates in these fields are helping shape the world of tomorrow.

Progress to top Universities
Successful students can progress to a range of leading universities, including:
- Cardiff University
- Royal Holloway, University of London
- University of Bath
- University of Birmingham
- University of Leeds
- University of Leicester
- University of Liverpool
- University of Southampton
- University of Surrey
Not sure which degree is right for you? Our university guidance team can help you choose the best progression route.

