Why this course

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 Intelligence’s 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

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