Discover the impact of AI on industry, cutting-edge research and society as a whole.
This course will build on a solid foundation in the principles and practices of computer science, including coding, mathematics and basic engineering. You will study both the underlying theory and practical skills used in symbolic and learning-based AI methodologies. You will see how these modern AI techniques and apply these to areas such as computer vision, robotics, graphics, analysis of data and games.
2:2 or equivalent in Computer Science or a relevant discipline. Successful applicants will demonstrate a strong background in the following essential topics: programming, maths and a knowledge of basic algorithms.
We are willing to consider your application if you do not fit this profile, providing you are able to demonstrate that you have the required amount of Computer Science knowledge and experience to succeed on the programme
For fees and funding options, please visit website to find out more
Skills for employability are embedded throughout the programme, with opportunities for you to return to these throughout the degree. Throughout the programmes, you'll study real cases from the industry, learn how to run projects and manage risks.
Career opportunities
Core modules
Foundations of Artificial Intelligence and Machine Learning
Research Methods for Computer Science
Probabilistic and Deep Learning
Professional and Academic Development
Option modules
You will study two option modules. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
Autonomous Robotic Systems Engineering
Computer Vision and Graphics
AI Problem Solving with Search and Logic
Evolutionary and Adaptive Computing
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
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