Program Overview

Overview

The Advanced Artificial Intelligence MSc is a specialist technical degree that provides students with the advanced skills to design, develop, and apply artificial intelligence technologies. The course is guided by an Industrial Advisory Board, including representatives from Google, Meta, JP Morgan, and PwC, ensuring that the program reflects the latest industry trends, technologies, and employer expectations.

What You'll Learn

The course has three phases. In the first phase, students develop a core knowledge and skillset in statistics and computer science. The second phase consists of more advanced technical modules, as well as a group project where students develop and evaluate an AI solution to a complex, real-world problem. In the final phase, students work on an individual research project, which provides an opportunity to develop their knowledge and skills and work in a research or development team.

Modules

The course includes a range of modules, such as:

• Data Visualization
• Image Processing
• Data Science in the Wild (Group Project)
• Machine Learning with Project
• Deep Learning
• Project and Dissertation in Data Science
• Advanced AI
• Graduate Foundations of Statistics and Data Science
• Engineering for AI
• Generative AI for Businesses

How You'll Learn

The course is delivered through a range of methods, including seminars, lectures, practical classes, group and individual project work, guided independent reading, and self-directed learning. Assessment methods include dissertation, oral presentation, poster, report, and written examination.

Support

Students have access to computing resources to support hands-on work, including data visualization technology, the National Edge AI Hub, and the National Innovation Centre for Data. The School of Computing has a dedicated Wellbeing Advisor and a range of student support services, including academic staff, personal tutors, and research supervisors.

Your Development

The course strengthens students' research skills through an extended research project and provides practical expertise by engaging with real-world challenges in AI. Students develop skills in designing and implementing intelligent software systems, applying computing, mathematical, and statistical techniques to data storage and analysis, and using modern programming languages, libraries, and AI frameworks.

Your Future

The course prepares students for a wide range of careers, including AI Engineer, Machine Learning Engineer, AI Specialist, AI Product Manager, AI Solutions Architect, Software Engineer, and Data Scientist. Graduates have undertaken various roles, including Senior Software Engineer at Sage, Data Analyst at Vodafone, and Data Engineer at Virgin Atlantic.

Industry Links

The course has strong industry links, with an Industrial Advisory Board that includes representatives from Google, Meta, The Alan Turing Institute, Airbus, and PwC. Students have opportunities for internships, guest lectures, and industry-sponsored projects.

Quality and Ranking

The University has a strong reputation for research, with 42% of its research classified as 4* world-leading. The course is accredited by the British Computer Society (BCS), and the University is ranked in the top 140 globally and top 160 in the world for sustainable development.

Facilities

The School of Computing is based in the £58 million Urban Sciences Building, which provides state-of-the-art facilities, including data visualization technology, the National Edge AI Hub, and the National Innovation Centre for Data.

Fees and Funding

Tuition fees for the course are £14,500 for home students and £31,700 for international students. The University offers a range of scholarships, including the Vice-Chancellor's automatic and merit-based scholarships.

Entry Requirements

The course requires a 2:1 BSc honors degree or international equivalent in computer science, mathematics, statistics, or an engineering discipline with programming experience. English language requirements include IELTS, Pearson, Duolingo English Test, or TOEFL.

Admissions Policy

The University's admissions policy applies to all undergraduate and postgraduate admissions. The policy provides information about admissions procedures and requirements to applicants and potential applicants.

How to Apply

The course starts in September, and there is no application closing date. International students are advised to apply at least two months before the course starts. The application process includes submitting a CV and paying a deposit of £1,500 for international students who require a visa to study in the UK.