Artificial intelligence technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential of AI. With a fundamental interest in AI, machine vision and computer sciences, you will have the desire to apply this knowledge to solve real world engineering problems. Taught through a unique combination of theoretical and practical-based sessions. You will cover subjects in machine learning and deep learning, Agentic AI, data analytics, multi-agent architectures, alongside the broader systems engineering and ethical considerations required for implementation in real-world systems. |
| Grade for Entrance Previous Year (%)* | 74 |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
A UK first or second class undergraduate degree with honours, as a minimum, or equivalent international qualification. - Bachelor degree with a percentage score of 74%
- Ideally applicants will have studied in aeronautics/aerospace engineering, mechanical engineering, electrical/electronic engineering, pure mathematics, computer science, software engineering, mechatronic engineering or information technology subjects.
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| Test Scores: | - International English Language Testing System (academic or immigration) or Test of English as a Foreign Language (Internet Based) or Test of English as a Foreign Language (Internet Based) or Pearson Test of English (Academic)
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* The entrance grade may change from year to year. Please contact the school for further information.
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.