Our MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background.

It's based on the Office for Artificial Intelligences National AI Strategy recommendations for AI Masters courses. You'll learn not just core AI-techniques, but how to place them within a business context so as to show their value.

A skills shortage, particularly around machine learning, means graduates are in high demand. This degree is designed to give you the skills to get ahead of the AI-driven transformation in our economy and society. You'll gain transferable skills to prepare you for a professional career in AI and its applications. These are expected to cover all aspects of society both within the tech sector, as well as outside, including:

education
engineering
health
finance
government
manufacturing
retail
transport.
What you'll study
The focus of our Artificial Intelligence & Applications Masters programme is to equip you for the job market. At the end of the course you'll be able to:

understand how AI algorithms, technologies and methodologies are designed, developed, optimised and applied at scale to meet business objectives
select the appropriate statistical methods for sampling, distribution, assessment, bias and error
understand AI problem structuring methods, and evaluate which methods are appropriate for a particular problem
apply rigorous AI-methodologies through experimental design, exploratory modelling, and hypothesis testing to reach robust conclusions
explain how such conclusions are reached to internal and external stakeholders
understand how to extract data from systems, and ensure standards of data quality and consistency for processing by AI-systems
integrate separate data sources in order to produce AI-solutions to meet user needs
understand and make use of different types of data models
understand how to build scalable machine learning technologies, and optimise them, to improve performance
understand a range of software systems to build reliable, reusable, scalable AI solutions to time, quality and budget
demonstrate why AI solutions meet user requirements to stakeholders and show the value gain associated to a given solution
understand the range of applications of AI and how different application areas require different AI-technologies.
Course content:
The MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background.

The curriculum comprises 180 credits, with one credit being equal to ten hours of student learning. The curriculum includes 60 credits in Semester 1, 60 credits in Semester 2, and a 60-credit project that typically runs from May to August.
Careers:
AI graduates are highly employable. They can look forward to well-paid professional careers designing and building the digital technologies that underpin the global economy and, indeed, every aspect of human activity from recreation through healthcare to business and the natural environment.

Examples roles
Job market analysis shows that the most in-demand key skills include big data, machine learning and neural networks, all of which are central to this degree. Example roles could include:

AI professional
AI Engineer (for Autonomous Systems)
Business/policy analyst