Artificial intelligence and machine learning is a growing industry worldwide. Societies are adapting to the new technology landscape, becoming more flexible and also inheriting an attitude of lifelong learning, collaboration, innovation and entrepreneurship.Using a range of skills from data science, to programming and hardware architectures that allow suitable artificial intelligence solutions to be produced and implemented, the Intelligent Systems and Machine Learning course at Anglia Ruskin University focuses on up-to-date theoretical and practical developments within machine learning, neural networks, signal processing and remote sensing and how these occur in the intelligent systems. It also allows you to become acquainted with current developments in artificial intelligence, and be able to apply yours skills in intelligent system design and development.
You will be trained in subjects that address the challenges of the current industry, studying modules that focus on data acquisition technologies and data processing techniques, including the development of AI systems, allowing you to become acquainted with digital signal processing, remote sensing and Internet of Things platforms, learning to program processors produced by ARM Ltd, a major player in the world of microelectronic component software/hardware design, based in Cambridge.
In most cases, artificial intelligence will have a supportive role to empower the human factor to perform better in handling complex and critical situations which require judgement and creative thinking.
Employment opportunities exist in vast areas and postgraduates typically follow careers in internet businesses, financial services, control systems, software engineering, mobile communications, programming and many more.
Get more detailsVisit official programme website
- DSP Applications and ARM® Technology
- Advanced Machine Learning
- Research Methods
- Remote Sensing and the Internet of Things
- Neural Computing and Deep Learning
- Major Project
- 12 months
Start dates & application deadlines
- StartingApply anytime.
It can take up to four weeks to consider applications, so we recommend you apply at least a month before your preferred start date.
DisciplinesComputer Sciences Software Engineering Machine Learning View 657 other Masters in Computer Sciences in United Kingdom
- A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject.
- In order for you to gain the full benefits from this advanced Masters course in AI, it is strongly recommended that you ensure that you have some basic programming knowledge of Python prior to the start of your course.
International14500 GBP/yearTuition FeeBased on the tuition of 14500 GBP per year during 12 months.
National9200 GBP/yearTuition FeeBased on the tuition of 9200 GBP per year during 12 months.
Living costs for Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 6 months
Check the official programme website for potential updates.