Study Details: MSc 1 year full-time
As the need and scope for robots, smart machines and real-time systems in society grows, so does the market for those trained in autonomous and intelligent systems.
The course covers all major aspects of these control and systems engineering with an emphasis on system autonomy and intelligence.
As you progress, you’ll develop an extensive understanding of artificial intelligence, machine learning, autonomous agents, real-time intelligent systems and intelligent control theory.
You’ll get hands-on experience working with various types of data, hardware and software and you’ll have the opportunity to build a system from scratch using the specialist labs in the University. You’ll be able to take optional modules, including a choice to work with companies to work on real opportunities and problems experienced by industry.
You will also work on a research-level dissertation project of your own where you’ll be able to pick an area you are passionate about and develop a solution to a real world problem in the area.
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Subject requirements
We accept degrees in the following subject areas:
Engineering
Mathematics
Physics
We may also consider other related subjects
Module requirements
You should have studied at least one Mathematics module and one module from the following areas:
Further/Advanced Mathematics
Physics
Probability and Statistics
Programming
We may also consider other related modules.
We also consider a wide range of international qualifications
For fees and funding options, please visit website to find out more
Our courses are informed by our strong links with industry and our research. Graduates of this course go on to work as software engineers, developers, AI researchers or data scientists.
Some graduates choose to work in research or follow up their studies with a research degree.
See our website for modules
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