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University of Bristol

Bristol, England, United Kingdom

MSc Artificial Intelligence

The MSc in Artificial Intelligence at the University of Bristol is a rigorous, research- and industry-informed programme designed for graduates from numerate disciplines. This programme provides a deep technical foundation in modern AI, covering both the foundations and advanced techniques and algorithms while fostering critical awareness of AI’s ethical, societal, and environmental impacts.

This MSc has been designed with direct input from both industry partners and internationally leading AI researchers to provide:

  • A dual focus on theory and application, combining mathematical rigour with hands-on implementation using real-world datasets and high-performance computing.
  • Ethics & society integration, with considerations of the ethical impacts of AI embedded throughout the programme and a unit dedicated to fostering critical discussion and reflection on society and the environment.
  • Flexible final project: Choose between an industry team project or an individual research dissertation.
  • Interdisciplinary learning: the programme is run by the School of Engineering Mathematics and Technology in collaboration with the School of Mathematics and the Faculty of Arts, Law and Social Sciences.

Campus Information

Clifton

Temple Quarter

Intakes

  • Sep Deadline: Aug

Application Processing Time in Days: 21

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

Job Opportunity Potential

Graduates of this MSc programme will be equipped for roles such as:

  • AI Engineer/Researcher (tech firms, startups).
  • AI Policy/Governance Specialist (government, NGOs).
  • Tech Leadership (CTO, AI product manager).
  • PhD Research (in AI/ML or applied domains).

Admission Requirement / Eligibility Criteria

You will typically need a strong upper second-class honours degree (65% or higher) or an international equivalent in Computer Science, Computing, Engineering degrees, Architecture, Data Science, Mathematics, Statistics and closely related degrees (eg Biostatistics, Actuarial Science), Physics and closely related degrees (eg Astrophysics), Biology, Bioinformatics, Economics, Econometrics, Genetics, Geology, Earth Sciences, Medicine, Neuroscience, Operations Research or Psychology.

Chemistry and closely related degrees (eg Biochemistry) or joint honours (eg Physics and Sociology) must meet the module requirements of two mathematical units or one mathematics unit and one computer programming unit with 60% UK equivalent achieved in each unit.

Applicants from non-numerate backgrounds who have certificates of study in maths/programming via studying in their own time may be considered on a case by case basis.

We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.

We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.

If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional qualifications. If you have the following, please include your CV (curriculum vitae / résumé) when you apply, showing: a relevant postgraduate qualification.

 

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