Artificial intelligence (AI) is a broad area of research that uses rigorous and hands-on computational techniques to address significant problems that arise in many different disciplines, including, but not limited to, computing systems, economics, business, healthcare, games, medicine design, education, and agriculture. With the rapid advance of AI, there is a growing demand for students who can understand and promote AI to all these sectors.
Our MSc Artificial Intelligence and its Applications conversion course will equip you with a skillset on AI techniques, and prepare you for meeting demand, regardless of your academic background. You will obtain a comprehensive perspective of the current developments, the needs, and the potential of AI, by participating in taught modules that promote a deep understanding of AI methods together with others that deliver the necessary technical expertise.
Our course will cover areas including:
Our course will give you both theoretical and technical relevant skills, and will offer you:
the understanding of the specifics and the intricacies of AI methodologies
the ability to apply both basic and advanced AI methods
the ability to design and implement novel solutions
You will also gain transferable skills such as the ability to develop and present arguments, as well as the ability to work independently and in groups. Within our School of Computer Science and Electronic Engineering lies the very strong AI for Decision Making research group, which will offer graduates of the course networking opportunities.
With a skillset that combines both technical and analytical know-how from our School of Computer Science and Electronic Engineering, our graduates will be able to find employment in very competitive institutions in a wide range of disciplines. A career in artificial intelligence can be realised within a wide range of sectors, including health, finance, education etc, both in the public and the private sector. Examples of specific jobs held by our AI graduates include computer/data/research scientists, software developers and analysts.
We also work with the University’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.