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
Minimum second-class (2:2) Honours degree or overseas equivalent.
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: businesses generate huge amounts of data every day and all want to clean that data, understand that data, extract information from that data and turn that information into information to drive the business forward. This degree gives you exactly the skills needed to perform these roles
AI Engineer (for Autonomous Systems): In this role, you will focus on designing AI systems that enable machines or robots to operate autonomously. You may develop algorithms for decision-making or path planning, which are essential for self-driving cars, drones, or robots. This job often involves working on cutting-edge technologies, solving complex problems related to real-time decision-making, and ensuring safety and efficiency in autonomous systems.
Business/policy analyst: as a business/policy analyst you will identify improvements which can be made to organisational systems using AI, write specifications for their modification and enhancement, and be involved in the design of new IT solutions to improve business efficiency
Legal, Ethical & Professional Issues (10 Credits)
Quantitative Methods for AI (10 Credits)
Big Data Technologies (20 Credits)
AI for Autonomous Systems (20 credits)
Deep Learning & Neural Nets (20 Credits)
AI for Finance (20 credits)
Machine Learning for Data Analytics (20 credits)
The place of useful learning The University of Strathclyde is a leading international technological university located in the heart of Glasgow – one ...