Overview
Explore the limitless possibilities of artificial intelligence with the University of Leeds's Artificial Intelligence MS program. Gain expertise in advanced AI techniques, algorithms, and applications, while delving into the ethical, legal, and societal implications of AI technology. Become part of a dynamic academic community where creativity and innovation drive progress in AI research and development.
Key Features
- Comprehensive curriculum covering machine learning, deep learning, neural networks, natural language processing, and robotics.
- Hands-on experience through projects, lab work, and industry collaborations.
- Access to state-of-the-art AI tools, software, and computational resources.
- Emphasis on interdisciplinary approaches, including AI in healthcare, finance, cybersecurity, and more.
- Opportunities for research, internships, and participation in AI competitions and conferences.
Programme Structure
Courses include:
- Machine Learning and Data Mining
- Deep Learning and Neural Networks
- Natural Language Processing
- Computer Vision
- Robotics and Autonomous Systems
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Leeds, United Kingdom
Disciplines
Artificial Intelligence View 64 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Standard Entry: A 2.1 or above honours degree in a mathematical, computational, engineering, or other numerate discipline is required, including Computer Science, Data Science, AI, Mathematics, Statistics, Physics, Engineering, Economics, or quantitative Social Sciences.
- Professional Entry: Applicants may qualify with a 2.2 or above in a non-numerate degree plus 1 year of relevant experience; a third-class degree in any discipline plus 2 years of relevant experience; or 3 years of relevant professional experience in a technical, analytical, or digital role. Relevant experience includes data analysis, coding, automation, software testing, reporting, digital transformation, or technical problem-solving.
- Additional Information: A short numeracy or programming readiness task may be required. Professional certifications in data, cloud, coding, or AI can strengthen your application.
Tuition Fees
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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