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Anglia Ruskin University

Cambridge , England ,United Kingdom

Artificial Intelligence MSc

Advance your computing career with artificial intelligence. Develop practical expertise in machine learning, deep learning and data modelling at ARU in Cambridge.
If you’re already working in computing, mathematics, or data analysis, this course will equip you with the practical AI skills employers are looking for.

You’ll learn about machine learning algorithms, neural computing, deep learning, and Natural Language Processing (NLP), and discover how to analyse data, develop intelligent models, and create AI-powered solutions that improve systems, solve complex problems and support innovation across industries.

Before starting the course, we strongly recommended that you have basic programming knowledge of Python for Machine Learning.

Course durations vary slightly: 12 months (September starts), or 20 months (January starts). The Professional Experience option takes 2 years.

Intakes

  • Jan
  • Sep

Application Processing Time in Days: 30

Application Process

Visa application
20 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

PSW Opportunity

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Admission Requirement / Eligibility Criteria

  • 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.
  • If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
  • 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.
  • If you have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, you may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course.

Important additional notes

  • Our published entry requirements are a guide only and our decision will be based on your overall suitability for the course as well as whether you meet the minimum entry requirements.

 

For More Information Please Contact To Our PSA Counselor.

Disclaimer: PSA updates the information on this page from time to time; however, there may have been more recent updates. Please refer to the university website for the latest information.