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Computing and Engineering Foundation Pathway

Computing and Engineering Foundation Pathway

This course is designed to equip students with the knowledge for successful study across subjects like Artificial Intelligence, Data Science and Electronic Engineering and more.

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About this pathway

This pathway is ideal for students who are passionate about technology and innovation. The programme provides the academic preparation needed for university degrees in cutting-edge fields such as Artificial Intelligence, Data Science, Computer Games Development, and a range of engineering disciplines including Electronic, Mechanical, and Civil Engineering.


Through a mix of core and optional modules, you’ll build strong foundations in mathematics, science, and computing – while also developing your English and study skills. As global demand for tech and engineering graduates continues to rise, this programme sets you on the path to a future-ready career.

What You'll Study

This course covers key topics that will equip students to study the following subjects:

  • Artificial Intelligence (AI)
  • Data Science and Computer Games Development
  • Electronic Engineering
  • Mechanical Engineering
  • Civil Engineering

Core Module Information

This module helps you develop comprehensive language proficiency and equips you with the academic skills to succeed in university studies. This includes academic writing, critical reading, effective listening, and confident speaking. You will also learn valuable research techniques, referencing skills, and strategies for presentations.

Gain a comprehensive understanding of business concepts, management principles, and organisational behaviour, while building essential problem-solving, critical analysis, and business communication skills.

Master statistical analysis and project management techniques while addressing real-world sustainability challenges within the fields of science, engineering, and business.

Provides students with a comprehensive introduction to the fundamental concept of physics.


Develop students' skills in the interpretation of mathematical models of physics.


Students acquire the skills to carry out, evaluate and analyse experimental data.

Key facts

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Intake

First intake: September 2026.

Induction: 14 September 2026.

Academic calendar: 21 September 2026 to 14 May 2027.

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Course length

Two-semesters (min. 12 weeks per semester)

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English Language Requirements

IELTS 5.0 (a minimum of 4.5 in all skills) or equivalent.

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Locations

Twin Greenwich, London or Twin Eastbourne

University Pathways

There are various universities this course prepares students to study at.


Student will be additionally supported to choose an optional module which best aligns with their academic goals.


University pathways include, but are not limited to:


  • Cardiff University
  • Royal Holloway University of London
  • University of Bath
  • University of Birmingham
  • University of Liverpool
  • University of Leeds
  • University of Southampton (UK and Malaysia)
  • University of Surrey
  • University of Leicester

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