Applied Artificial Intelligence MSc
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 at least 6.5 in writing and no element below 6.0.
Recognition of prior learning and experience
If you have previously studied at university level, or have equivalent work experience, academic credit may be awarded towards your course at Westminster. For more information, visit our Recognition of Prior Learning page.
Application process
Visit our How to apply page for more information on:
- the application process
- what you need to apply
- deadlines for applications
Months of entry
September
Course content
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.
Information for international students
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 at least 6.5 in writing and no element below 6.0.
Application process
Visit our How to apply page for more information on:
- the application process
- what to include with your application
- deadlines for application and enrolment
More information
- Country-specific entry requirements
- English language requirements
- Visas and advice
- Fees and scholarship information
University preparation courses
Our partner college, Kaplan International College London, offers Pre-Master’s courses that may help you gain a place on a postgraduate degree at Westminster.
To find out more, visit University preparation courses.
Fees and funding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course Enquiries Team
- course-enquiries@westminster.ac.uk
- Phone
- +44 (0)20 7915 5511