This Master’s gives you specialist education in the design, development, use and maintenance of computer technology, electronics and software in areas of great importance to modern society.
You can choose from eight specialisations:
Applied Artificial Intelligence
With a specialisation in Applied Artificial Intelligence, you will learn how intelligent systems are designed, analysed and used for autonomous recognition, decision-making and control.
You will put the theory and knowledge you have learned to use, and test them in practical problem-solving scenarios.
You will also work with AI platforms and tools, such as autonomous mobile robots, as well as high-performance computing and data infrastructure. This allows you to test the AI and machine learning models and algorithms that you have developed.
Cyber Security
With a specialisation in Cyber Security, you will gain the knowledge and skills to protect computer systems, networks and other digital devices against unauthorised access, attacks and theft.
You will learn to promote the safe and responsible use of technology, raise awareness of cyber threats and risks, and implement measures to prevent adverse impacts on data networks and systems.
The specialisation helps you to understand the scope of cyber threats and their potential impact.
You will be prepared to identify, analyse and mitigate cyber risks and vulnerabilities, and you will also learn techniques for responding to cyber attacks.
Data Science
With a specialisation in Data Science, you will become familiar with Big Data, statistics and machine learning.
Given the vast volumes of data from all kinds of electronic devices and systems, the challenge remains to extract knowledge and insight from them.
Data analysis is necessary, for example, for self-driving vehicles that share information and learn from each other, climate data from around the globe, financial transactions from millions of bank customers or genomic datasets from gene banks.
As technology proliferates, ever more data about us are generated, making it increasingly important to protect those data and to understand the ethical implications of their use.