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Data Science and Artificial Intelligence by Conversion (Taught)

MS · 1 Years · Full-time · 09/2025 · PostgraduateMile End
Awarded by:
Queen Mary, University of London

Course options

2025-20262026-2027
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Course summary

Prepare for the jobs of the near future with this conversion MSc programme, designed to enable learners without computer science backgrounds to train as artificial intelligence data specialists.

This programme is ideal for highly motivated applicants seeking to develop knowledge and technical expertise in data science and AI. Since applicants come from various academic backgrounds, we strongly recommend that you review our guidance for completing your application tailored specifically to this programme.

  • Discover data science and AI principles to create solutions for business and industry challenges.

  • Learn from experts engaged in cutting-edge research in Machine Learning, Natural Language Processing, Computer Vision, and Game AI.

  • Receive intensive teaching on programming and statistics, to equip you for the specialised modules in this programme.

  • This programme was developed by a collaborative partnership of universities and industry partners, brought together by the Institute of Coding.

Modules

Please refer to our website for modules related to this programme.

Assessment method

Please refer to our website for information on assessment.

This course is subject to validation. You can still apply for this course while it is being approved.

Ways to study this course

Campuses

  • Mile End

Study options

  • MS • Full-time • 1 Years

Start dates

  • 09/2025

How to apply

International applicants

Please see: www.qmul.ac.uk/international-students

Open days

Entry requirements

A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering.

Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics.

Applicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of:

  • Aptitude and technical skills normally acquired through employment OR
  • Evidence of successful completion of relevant programming qualifications, such as those provided by the Institute of Coding

Where possible, selection will be based on the written application, but applicants may be asked to attend an interview to support the evaluation of their experience and aptitude.

For international qualifications, please refer to our website for specific entry requirements.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student.

You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/

Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

To learn more about funding and scholarships, please visit our funding a masters webpage at: www.qmul.ac.uk/postgraduate/taught/funding_masters/

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