Who is it for?
This Artificial Intelligence programme from City, University of London 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.
What is Artificial Intelligence? 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.
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.
Get more detailsVisit official programme website
- Programming and Mathematics for Artificial Intelligence
- Computational Cognitive Systems
- Explainable Artificial Intelligence
- Deep Learning for Image Analysis
- Deep Learning for Sequence Analysis
- 12 months
Start dates & application deadlines
- StartingApply anytime.
DisciplinesRobotics Artificial Intelligence Machine Learning View 231 other Masters in Artificial Intelligence in United Kingdom
- 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).
International20400 GBP/yearTuition FeeBased on the tuition of 20400 GBP per year during 12 months.
National10200 GBP/yearTuition FeeBased on the tuition of 10200 GBP per year during 12 months.
- Full-time: £10,200
- Full-time: £20,400
- Full-time: £20,400
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 6 months
Check the official programme website for potential updates.