Who is this course for?
If you want to learn about AI as science, this course is perfect for you. You will learn how to apply deep learning and other groundbreaking AI methods to image recognition, sequence analysis, optimal control, creativity and cognitive modelling.
You will also gain an understanding of the ethical and legal challenges of AI and how to make AI explainable and fair.
You are required to have a degree in computer science, computational neuroscience, mathematics, computer engineering, or natural sciences.
You will need to have good programming skills, particularly in Python.
You’ll also need a good imagination, be creative and have a keen interest in learning in a collaborative environment where intellectual debate and teamwork are encouraged.
Modules:
Core modules: 6
Optional modules: 2
The programme has six core modules and four elective modules from which you will choose two.
The course has been designed to adapt to developments in the sector, with space within the modules to explore your own interests.
In your third term, you undertake an individual project under the supervision of one of our AI experts.
Programme specification
The programme specification contains more information on how the course is organised, the requirements for progression for each part and credits required for awards.
What you will learn
You learn the latest and most advanced Artificial Intelligence models and technologies and how to apply them to real-life problems in a collaborative environment.
With the skills learnt, you will be equipped with all the necessary knowledge to ensure a successful, cutting-edge Artificial Intelligence project in your chosen application or research area, with an internship in a company of the sector or guided by our specialised scientists.
This project, your MSc thesis, will be the perfect culmination of your studies. The curriculum is designed and kept up to date by the Artificial Intelligence Research Centre at City
How you will study
Lectures and hands-on labs are delivered by recognised and enthusiastic experts, active researchers in the field.
Teaching is entirely project-based, so you can learn to tackle real-world AI challenges in a collaborative and supportive learning setting and in a pragmatic manner.
Each module is introduced in lectures. These give you examples, highlight the most essential aspects of AI, and point you to complementary study and research resources.
You apply this material and develop your skills in laboratory sessions and tutorials, working on practical problem-solving exercises and critical theoretical questions. You can also see concepts and techniques in action in the lab, using the latest software, tools, and platforms.
Our teaching methods mean your levels of specialist knowledge and learning autonomy increase as you work through the programme.
The Programme Director and the team provide learning support and feedback throughout your course.
All in all, the MSc is designed as a perfect balance between the necessary theory and practical experience. It is designed thoroughly and up-to-date. You learn to think critically and to analyse different Artificial Intelligence problems and how to implement them effectively.
