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- Artificial Intelligence (AI)
- University of Westminster
- Applied Artificial Intelligence MSc
Course options
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Qualification
MSc - Master of Science
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Location
Cavendish
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Study mode
Full time
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Start date
22-SEP-25
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Duration
1 Year
Course summary
The Applied Artificial Intelligence MSc will equip you with essential techniques and practical skills, preparing you to tackle real-world challenges and contribute to the growing field of Artificial Intelligence.
Youll gain a comprehensive understanding of AI, covering core concepts such as search strategies and reasoning. Thereafter, youll progress to advanced topics like machine learning and deep learning, which power cutting-edge technologies, including Large Language Models (LLMs).
The course is ideal for IT and computing graduates who wish to expand their knowledge and skills in Artificial Intelligence. It also applies to professionals seeking to upskill in the latest industry developments or transition into a new field.
Hands-on learning is central to this course, ensuring you gain practical experience with industry-standard software and tools. You'll develop expertise in programming languages such as Python, essential AI libraries and development environments.
Through optional modules, you'll specialise in areas such as Applied Computer Vision or Big Data and Cloud Computing, enhancing your career prospects in diverse AI-driven industries.
The MSc Applied AI Project module allows you to apply what you have learnt to a real-world problem, conduct independent research and develop an AI solution under the guidance of experienced staff. This project will solidify your understanding of AI and enhance your research and problem-solving abilities.
Modules
Tuition fees
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£ 17,500per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
118th
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Campus address
University of Westminster, London, 101 New Cavendish Street, LONDON, CITY OF WESTMINSTER, W1W 6XH, England
Subject rankings
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Subject ranking
87th out of 117
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Entry standards
/ Max 227112 49%103rd
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Graduate prospects
/ Max 10077.0 77%74th
1 -
Student satisfaction
/ Max 42.98 74%69th
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