|Location||United Kingdom, Southampton|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||£19,570.00 per year|
Undergraduate diploma (or higher)
Our normal entry requirement is an upper second-class honours degree or higher (or equivalent) in a related discipline, such as mathematics, physics, engineering or computer science.
IELTS: 6.5 (with a minimum of 6.0 in each band)
At least 2 reference(s) must be provided.
Develop core data analysis skills and explore both traditional and state-of-the-art aspects of artificial intelligence and machine learning.
This research-led MSc takes a contemporary approach and covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.
The programme will give you a solid awareness of the key concepts of artificial intelligence. You will also learn the techniques that form the current basis of machine learning and data mining. You will develop a wide-ranging skill set that supports further study or that you can use in application development.
As a result of the leading research being undertaken at Southampton, the course is able to offer a wide range of options that cover state-of-the-art modern techniques, which directly reflect research directions in ECS. These include:
machine learning techniques, such as kernel methods and support vector machines
The programme has been designed to maximise student choice by allowing you to tailor the structure to suit your own interests. You can choose areas that reflect your personal interests and work on an individual project. You will however, also take a number of compulsory modules to ensure you are exposed to key topics in all areas.
This programme provides an excellent platform for further research in either industry or academia.
Graduates from our MSc programme are employed worldwide in leading companies at the forefront of technology. ECS runs a dedicated careers hub which is affiliated with over 100 renowned companies like IBM, ARM, Microsoft Research, Imagination Technologies, Nvidia, Samsung and Google to name a few. Visit our careers hub for more information.