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MSc Applied Artificial Intelligence

Designed for the modern AI job market, the MSc in Applied Artificial Intelligence offers a practical pathway into machine learning, deep learning, and AI-driven decision support. Delivered part-time over up to two years, the programme emphasises ethical and responsible AI, real-world toolsets, and project-based learning , preparing you for careers as an Artificial Intelligence Engineer, Data Scientist, Computer Vision Engineer, or AI Solutions Architect.

“Your pathway to the global IT industry”

Why follow this MSc?

A forward-thinking AI degree designed for the real world: The MSc in Applied Artificial Intelligence at the University of Westminster offers a dynamic pathway into the world of AI. The course begins with core foundations such as search strategies and reasoning, before progressing to advanced topics including machine learning and deep learning—the technologies that drive innovations like Large Language Models (LLMs).

Designed for the next generation of tech talent: This programme is ideal for graduates from IT and computing backgrounds who are looking to expand their skill set, as well as professionals aiming to upskill or pivot into the fast-growing field of Artificial Intelligence.

Skills that stick: Practical learning is central to the course. Students gain real-world experience using industry-standard tools, including Python, key AI libraries, and professional development environments—ensuring they graduate with the skills employers need.

Flexible and focused: With a range of optional modules, students can tailor their learning to match their interests and career goals. Areas such as Applied Computer Vision and Big Data, and Cloud Computing provide opportunities to specialise in high-demand fields across the AI landscape.

Project-based and purposeful: The MSc Applied AI Project gives students the chance to apply their learning to a real-world problem. Guided by academic experts, this independent research project strengthens their understanding of AI while building valuable problem-solving and project management skills.

A modern approach to learning: Teaching combines lectures, seminars, and practical workshops with collaborative coursework, presentations, and hands-on group work. Students also work with the tools and platforms commonly used in industry, helping them stay ahead of the curve.

Awarding University & Course Recognition

Awarded by the University of Westminster UK

Recognized By UGC

Entry Requirements

A minimum 2:2 honours degree is required, preferably in English. Non-native English speakers must have an IELTS score of 6.5 overall, with no individual componenet below 6.0 – is required

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Associated Careers

AI Data Analyst
Artificial Intelligence Engineer
AI Solutions Architect
Machine Learning Operations (MLOps) Engineer
Data Scientist
Big Data Engineer
Business Intelligence Developer
Computer Vision Engineer
Research Scientist
Robotics Scientist

Assignment Overview

Teaching focuses on active student engagement through a combination of lectures, seminars, workshops, problem-based learning, and blended learning methods. Where relevant, students will also gain hands-on experience through practical application.

Learning is typically divided into two main categories:

Scheduled Learning – Includes structured sessions such as lectures, seminars, workshops, practical classes, and supervised studio time.
Independent Study – Involves self-directed learning such as preparing for classes, conducting research for final projects or dissertations, engaging in wider reading or practice, completing assignments, and revising for assessments.

Assessment Methods – Assessment across postgraduate courses is varied and designed to reflect real-world application and academic understanding. These typically include: