M.Sc. On Campus

Intelligent Systems and Machine Learning

Anglia Ruskin University

12 months
14500 GBP/year
9200 GBP/year
Tuition fee
Apply date
Start date


The Intelligent Systems and Machine Learning course at Anglia Ruskin University will enhance your knowledge and expertise in computer science or electronics, and address the challenges in industry where machine learning techniques are being used increasingly in a wide number of applications. 


Key facts

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.

Programme Structure

Courses include:

  • DSP Applications and ARM® Technology
  • Advanced Machine Learning
  • Research Methods
  • Remote Sensing and the Internet of Things
  • Neural Computing and Deep Learning
  • Major Project

Key information


  • Full-time
    • 12 months

Start dates & application deadlines

More details

It can take up to four weeks to consider applications, so we recommend you apply at least a month before your preferred start date.


180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
First Class

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    14500 GBP/year
    Tuition Fee
    Based on the tuition of 14500 GBP per year during 12 months.
  • National

    9200 GBP/year
    Tuition Fee
    Based on the tuition of 9200 GBP per year during 12 months.

Living costs for Cambridge

846 - 1465 GBP /month
Living costs

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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Intelligent Systems and Machine Learning
Anglia Ruskin University


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