MSc Artificial Intelligence

The MSc Artificial Intelligence at the University of Huddersfield offers advanced training in machine learning, data mining, robotics and autonomous systems, equipping students to build intelligent applications and systems. It suits students with prior computing or engineering background who want a career in AI-driven development, research, or systems implementation.

Curriculum Structure:
Students begin with core modules such as Machine Learning, Data Mining, and Robotics, where they learn how to train models on data, extract useful patterns from large datasets, and design intelligent robotic or autonomous agents. They then study Knowledge Representation and Reasoning, Autonomous and Autonomic Intelligent Systems, and AI Planning, deepening their understanding of how machines can reason, make decisions, and act autonomously in complex environments. The programme finishes with an Individual Project, where students apply their learning to a real-world or research-oriented AI problem, integrating data-driven methods, reasoning techniques and system design.

Focus areas: “Machine Learning, Data Mining, Robotics & Autonomous Systems, Knowledge Representation & Reasoning, AI Planning, Intelligent Systems Design”

Learning outcomes: “Ability to develop and deploy AI models for data and autonomous systems; extract insights from large datasets; design and implement intelligent and autonomous agents; apply reasoning and planning algorithms; carry out independent AI projects.”

Professional alignment (accreditation): The degree is accredited by the British Computer Society (BCS), partially fulfilling the academic requirements for becoming a Chartered IT Professional or Chartered Engineer.

Reputation (employability rankings): University of Huddersfield reports high graduate employment rates in computing and engineering fields; its AI MSc prepares graduates for roles in industry, research or applied AI sectors