Artificial Intelligence at University of Leeds - UCAS

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Course summary

Designed and delivered by computer scientists, this innovative online Masters in Artificial Intelligence has been developed specifically for professionals who recognise the importance of AI to their sector. This Artificial Intelligence MSc allows you to influence the strategy in your organisation by pushing the boundaries of best practice to drive business efficiencies and strategy processes. Purely AI focused and covering an extensive range of AI and Machine Learning tools and techniques, this online artificial intelligence course allows you to apply your academic study and skills in the real world, so you're armed to face the future of the sector you wish to pursue your career in. Specialist modules like Robotics, Algorithms, Data Mining and Text Analytics, and Machine Learning have been developed in response to market needs, helping you gain high-demand skills. There has never been a more crucial time for businesses to understand the future of AI, and our specialised curriculum brings a modern, technology-focused perspective to help you address work-related challenges. Use your knowledge to influence company strategy and impress employers, helping them to evaluate the risks and opportunities associated with modern technologies and market approaches. Who is this Artificial Intelligence MSc for? If you recognise the importance of AI for the future of your industry, this online Masters in Artificial Intelligence gives you the forward-thinking knowledge to take your career to the next level. It is ideal if you are looking to:

  • reskill to become an AI developer.
  • upskill to develop, manage, and plan AI solutions within your current organisation.
  • develop your academic understanding of this field through higher level study.
The Masters/PGCert options have multiple start dates throughout 2022-2023. Visit https://courses.leeds.ac.uk/d995/artificial-intelligence-msc for dates and application deadlines.

Assessment method

Assessment methods will emphasise not just knowledge, but essential skills development too. The Artificial Intelligence MSc will typically be assessed through mini project reports, group discussions and assignments, live and/or pre-recorded presentations, practical exercises based on real-world scenarios, essays, literature reviews, multiple choice exams for formative learning feedback (no more than 5% of assessment).


Entry requirements

A First or 2.1 (hons) bachelor degree in any mathematical or highly numerate discipline where relevant subject areas have been studied. If you hold a 2.2 (hons) bachelor degree in any mathematical discipline, we’ll consider your application if you have at least three years of relevant work experience in a professional environment. If you hold a First or 2.1 (hons) bachelor degree in a non-mathematical discipline, we’ll consider your application if you have at least three years of relevant work experience in a related professional environment. If you hold a 2.2 (hons) bachelor degree in a non-mathematical discipline with no relevant professional work experience, we’ll consider your application following completion of an admissions test or relevant credit-bearing foundation course in programming. Exceptionally, we will also consider applications from professionally qualified and experienced candidates who do not meet the formal requirements. We accept a range of international equivalent qualifications. For information please contact our Enrolment Advisors at [email protected] All applicants will need to have GCSE English language at grade C or above, or an appropriate English language qualification. Where necessary, students will be expected to improve their English further during the course by making use of the online English tuition support that we provide.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

https://courses.leeds.ac.uk/d997/artificial-intelligence-postgraduate-certificate
Artificial Intelligence at University of Leeds - UCAS