Artificial Intelligence

We normally require an honours degree at 2:2 or above in a relevant subject.

Experience with writing code or using a scripting language is essential, so you should provide a detailed description and evidence of prior coding experience in your application. This may include:

• examples of programming or writing scripts for quantitative analysis or producing artefacts such as websites
• transcripts of relevant modules studied at undergraduate level
• certificate of completion of a recognised and relevant online course
• details of relevant experience from employment
• links to personal work, for example evidence of engagement with active GitHub repositories.

Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Economics, or Psychology.

For fees and funding options, please visit website to find out more

Don’t let money stand in the way of your ambition. On top of the student loans available to UK postgraduate students, we offer a range of generous scholarships and bursaries to help you invest in your potential – please visit website for details.

There is a huge demand for qualified experts in AI and we will see this grow even more over the coming years. In the UK, as elsewhere, the government’s ‘industrial strategy’ sees AI as a key enabler for a high-skills, high-wage future, and the recent pandemic has only highlighted the valuable part AI will play in areas from healthcare and logistics to entertainment.

Training as an AI professional will not only offer you an intellectually-challenging career, but you can expect to join some of the highest paid IT professionals in the industry. Studying our course will get you set to take advantage of a wide variety of career opportunities provided by AI. You have many options open to you including a job in industry, taking a more entrepreneurial route or going into AI research.

Year one

You will study:

• AI for Search and Optimisation
• AI Group Project Model
• Knowledge-based and Hybrid Systems
• Machine Learning Algorithms
• Machine Learning for Language and Vision
• Statistical Inference.

Plus two optional modules from:

• Advanced Statistics
• Big Data
• Business Intelligence and Data Visualisation
• Cloud Computing
• Data and Information Governance
• Designing the User Experience
• Knowledge Management
• Linked, Open Data and the Internet of Things
• Social Media and Web Science.