City, University of London

Course Introduction

This programme is for recent graduates, and those already working, with a strong grounding in mathematics, good imagination and creativity and an appreciation for data. The MSc also requires programming experience, preferably, but not limited to, Java, C++ or Python. You will need to have a degree in mathematics, engineering or computer science, or a degree in natural sciences, including psychology. You must also be able to envisage and create models and algorithms so you can work with data to find out what it means and says.

AI seeks to simulate intelligence and apply the resulting algorithms to solve real-life problems. AI professionals are in huge demand in fields including health, finance, transport and energy, as well as in neuroscience. On City's MSc in Artificial Intelligence, you learn advanced AI technology and how to apply it to problems in data classification, prediction and forecasting, optimization, as well as in computational modelling of learning and behaviour. Our focus is on the most commercially applicable form of AI, known as Deep Learning - developing adaptable artificial neural networks (ANNs) that replicate how the brain works. You also explore the wider issues of ethics, accountability and trust that surround AI and how "Explainable AI" is used to interpret the functioning of complex ANNs. The course is hands-on, using the new world-class City AI Lab, which provides the latest computers, tools and technologies, and the GPU power needed for Deep Learning. Here, as part of your project work and in preparation for employment or future research, students work on how to apply AI to real-world problems, with active researchers in AI.

This practical MSc is assessed solely on coursework, one assessment per module, which includes an oral presentation of your work. This could be through theoretical questions such as short essays, or practical assignments where you analyse and give examples of AI methods and techniques. To reflect the real-life practice of Artificial Intelligence your work is often in teams. We may ask for separate oral presentations when assessing team assignments so that each member can demonstrate their contribution. Artificial Intelligence experts are highly sought after by businesses, including those working in health, finance, energy and transport, by neuroscience companies and by government. Employment opportunities range from AI developer jobs to roles that benefit from a deep understanding of cutting-edge Artificial Intelligence techniques and tools. This programme's emphasis on nature-inspired AI and Deep Learning, and links with industrial partners at London's Tech City and the Knowledge Quarter, give students a particular advantage in finding work as specialists in AI companies and institutions. The course also prepares students for entry into doctoral research.

Start Date:

Duration: 12 months (15 months with option of three month internship).

Duration & Attendance Qualification Tuition fees Fee type
2 years
Full Time
MSc £9,500 Home Fees
2 years
Full Time
MSc £9,500 European Fees
2 years
Full Time
MSc £20,000 Overseas Fees

Qualifications required:

  • Domestic entry requirements: The programme is designed for those who have completed a first (or upper second class) degree in science and technology subjects including computer science, mathematics, physics, engineering, psychology or biology. You must have competence in at least one object-oriented programming language (preferably Python, but Java or C++ are also adequate) and mathematics (linear algebra and calculus, in particular).
  • International entry requirements: For overseas students whose first language is not English, the following qualification is required: IELTS: 6.5 (minimum of 6.0 in all four components).