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Intelligent Systems and Machine Learning, M.Sc.

  • Anytime
    Application Deadline
  • 12 months
University rank #301 (WUR) Cambridge, United Kingdom
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. 
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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

Detailed Programme Facts

  • 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.

  • Programme intensity Full-time
    • Full-time duration 12 months
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You need the following IELTS score:

  • Minimum required score:


    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Get a free IELTS practice test

Academic Requirements

You need the following GPA score:

Required score: First Class

Applicants for graduate programs must have the equivalent of a bachelor’s degree with a minimum GPA equivalent to First Class on the UK Honour scale. Admitted applicants typically have an undergraduate GPA of or better on the UK Honour scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

General Requirements

  • Applicants will normally hold a first or second class honours degree in a subject containing a substantial amount of computing or electronics or qualifications judged by the course team to be equivalent. Applicants should also be qualified to at least A-level Mathematics or Statistics level (or equivalent).

Tuition Fee

  • International

    13700 GBP/year
    Tuition Fee
    Based on the original amount of 13700 GBP per year and a duration of 12 months.
  • EU/EEA

    8500 GBP/year
    Tuition Fee
    Based on the original amount of 8500 GBP per year and a duration of 12 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Cambridge

  • 846 - 1470 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.

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