Computing (Artificial Intelligence and Machine Learning)
Imperial College LondonLondon, United Kingdom
Fee for international students
- Intakes
- September
- Duration
- Not published
Programme facts
- Level
- Bachelor's
- Duration
- Not published
- Language of teaching
- English
- Study mode
- full time
- Credits
- Not published
- Intakes
- September
About this programme
Focus your study of computing on artificial intelligence in this integrated Master’s degree. Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work. You'll specialise in artificial intelligence and knowledge engineering, as well as machine learning and the development of computational and engineering models of complex cognitive and social behaviours. In this course, you will learn how modern computer and communications systems function, and how they can be used and adapted to build the next generation of computing applications. The core of this programme has been designed to give you an overview of computing. This includes an understanding of basic concepts and principles, the ability to appreciate and to adapt to changes in technology, and practical experience in applied computing. A special emphasis of your studies will be on the fundamental principles underlying computing and on the engineering considerations involved in computing system design, implementation and usage. You will be introduced to computing architecture and hardware, and the software used to exploit them. This course will also equip you with a strong background in discrete mathematics (logic, sets, relations and grammar), classical mathematics and statistics relevant to applications engineering and management. Throughout the programme, you will attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced tech
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6 overall
- Minimum prior level
- upper secondary
Source: UK sector norm / UKVI SELT
Check if you qualifyData: Discover Uni (HESA and Jisc).
