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School of Electronic Engineering and Computer Science

MSc Artificial Intelligence 2025 Modules

Our MSc in Artificial Intelligence opens doors to a thriving AI career. Explore key topics—agents, vision, and language—supported by leading research groups. With a strong emphasis on practical machine learning, this programme boosts your employability. From advanced AI, such as Large Language Models, to AI applications in Creative Domains, it provides top-tier expertise for high-demand roles. Join us to master essential skills for success in both the AI industry and academia.

This MSc allows you to focus your studies and combine different AI topics to suit your personal requirements and future plans. Our world-class teaching, research, and industrial contacts will support you as you learn to understand fundamental AI concepts. You will study universal machine learning tools essential for any AI job profile, as well as specific practical and research skills across various AI topics.

You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Deep Reinforcement Learning (Deep RL), and Large Language Models (LLMs) through regular exercises and practical labs. You will work closely with your lecturers and supervisors to carry out a major project on the AI topic you wish to specialise in.

The MSc Artificial Intelligence (AI) September 2025 Entry is structured in two different streams.

All students will study a set of compulsory modules that cover the fundamentals of machine learning, artificial intelligence, natural language processing, and ethics, regulation, and law in digital information processing and decision making.

In addition to the compulsory modules, you will choose one educational stream of elective modules during Welcome Week, based on your interests.

Language and Agents stream (default)

This stream focuses on providing students with practical skills in speech and language processing technologies. Students learn to construct systems for understanding spoken and written languages using advanced techniques like Large Language Models and Conversational Agents. The curriculum emphasises hands-on experience in text classification, sentiment analysis, and extracting insights from extensive textual datasets. Concurrently, the programme enhances students' abilities to create intelligent AI agents for making informed decisions in complex environments. Coursework also explores AI techniques in games, contributing to a comprehensive understanding of language processing and intelligent agent development.

Semester A

  • Machine Learning
  • Artificial Intelligence
  • Natural Language Processing
  • Statistical Planning and Reinforcement Learning

Semester B

  • Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making
  • Information Retrieval
  • Neural Networks and NLP
  • Conversational Agents and Dialogue Systems

Multimodal AI stream

This stream examines the intersection of AI, Computer Vision, and Creative Domains. Students will explore the latest methods for image processing and pattern recognition, delving into the multifaceted applications of AI across Creative Domains such as audio, music, game design, fiction writing, and artworks. The programme covers both practical skills and the philosophy and science underpinning AI systems with creative responsibilities. Modules prioritise hands-on experience, enabling students to apply theoretical knowledge and develop a robust skill set in Multimodal AI.

Semester A

  • Machine Learning
  • Artificial Intelligence
  • Natural Language Processing
  • Introduction to Computer Vision

Semester B

  • Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making
  • Deep Learning for Audio and Music
  • Deep Learning for Computer Vision
  • Computational Creativity

Please note that all modules are subject to change.

Find out more about each module below, by looking them up in the module directory.

Back to MSc Artificial Intelligence programme page.

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