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University of Westminster, London: Applied Artificial Intelligence
| Institution | University of Westminster, London View institution profile |
|---|---|
| Department | School of Computer Science and Engineering View department profile |
| Web | https://www.westminster.ac.uk |
| course-enquiries@westminster.ac.uk | |
| Telephone | +44 (0)207 915 5511 |
| Study type | Taught |
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.
You’ll gain a comprehensive understanding of AI, covering core concepts such as search strategies and reasoning. Thereafter, you’ll 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.
Teaching methods include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive coursework, class presentations, group research work, and industry-standard software.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a lower second class honours degree (2:2) in a science, mathematics, computer science, or engineering discipline, with some exposure to the use of IT. Applications will also be considered from individuals who do not have a first degree in these subjects but have gained significant industry experience in data science or software development. If your first language is not English you should have an IELTS 6.5 with no element below 6.0. |
| Location | 115 New Cavendish Street 115 New Cavendish Street Westminster W1W 6UW |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a lower second class honours degree (2:2) in a science, mathematics, computer science, or engineering discipline, with some exposure to the use of IT. Applications will also be considered from individuals who do not have a first degree in these subjects but have gained significant industry experience in data science or software development. If your first language is not English you should have an IELTS 6.5 with no element below 6.0. |
| Location | 115 New Cavendish Street 115 New Cavendish Street Westminster W1W 6UW |
At the University of Westminster, our postgraduate courses in media, fashion, art, computer science and engineering are designed for ambitious professionals ready to advance their careers. Shaped by London’s global creative and tech industries, our programmes cover media, art, fashion, design, business, immersive technologies, cybersecurity, data science, and artificial intelligence.
You’ll learn from experienced practitioners and active researchers who bring real-world insight directly into the classroom. Through live briefs, collaborative projects, professional practice modules, and opportunities to exhibit, screen, or publish work, you’ll gain advanced theoretical knowledge alongside practical skills, critical thinking, and professional development, preparing you to thrive …
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