MSc Artificial Intelligence (Machine Learning)

About this course

A very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.

• Embark on this newly developed course on a topic of great recent and predicted growth
• Explore the theory of machine learning and practical applications
• Benefit from studying both the practical focus and real industrial applications - this is one of a small number of such courses available
• Learn from academics with substantial experience in machine learning and industrial collaboration

Machine Learning is the scientific study of the ways in which computer systems can be programmed to perform a specific task without using explicit instructions, relying on patterns and inference instead through algorithms and statistical models.

This course is unique in combining theoretical and practical aspects of Machine Learning that will prepare graduates for a career in Industry or Academia. Modules include both aspects throughout the programme and prepare graduates for a variety of roles in Machine Learning development and deployment.

Assessment

How learning is monitored on your programme

To cater for the wide-ranging content of our courses and the varied learning preferences of our students, we offer a range of assessment methods on each programme. Assessment techniques vary from module to module to reflect relevant assessment approaches and the key learning points of each topic.

You will need: an undergraduate degree in a cognate subject area or an undergraduate degree in a non-cognate subject area when supplemented by relevant skills and / or experience or degree equivalent professional qualifications, e.g. BCS Professional Graduate Diploma in IT or a HND plus a minimum of three years relevant professional experience.