Program Overview

Overview

The Artificial Intelligence MSc at the University of Huddersfield is designed to develop students' knowledge and understanding of artificial intelligence to an advanced level. The course covers a range of areas, including machine learning, data mining, robotics, knowledge graphs, and autonomous systems.

Key Information

Entry Requirements

• A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification
• Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level
• If the first language is not English, students will need to meet the minimum requirements of an English Language qualification, with a minimum IELTS score of 6.0 overall and no element lower than 5.5

Start Dates

• 22 September 2025
• 12 January 2026
• 18 May 2026

Duration

• 1 year full-time

Course Detail

Modules

• Machine Learning: This module provides a fundamental understanding of machine learning techniques, including data-driven approaches and model-driven machine learning.
• Data Mining: This module explores data mining techniques, including supervised and unsupervised approaches, and the use of data-mining tools to evaluate the quality of discovered knowledge.
• Robotics: This module examines the integration of mechanical devices, sensors, and intelligent computerized robotic agents, and covers the design and development of robotic-based systems.
• Knowledge Representation and Reasoning: This module introduces students to knowledge representation and reasoning principles, languages, and algorithms, and provides experience in using them to solve practical problems.
• Autonomous and Autonomic Intelligent Systems: This module covers the background and requirements for intelligent systems autonomy, including technical challenges, ethical and legal issues, and human factors implications.
• Case Studies in Data Analytics and Artificial Intelligence: This module enables students to appreciate the historical, current, and future application areas of artificial intelligence and data analytics.
• Effective Research and Professional Practice: This module provides students with skills key to becoming a successful computing researcher or practitioner, including the nature of research, research methods, and literature review.
• Artificial Intelligence Planning: This module recaps the history of automated planning and focuses on the kinds of assumptions, algorithms, heuristics, and representation languages used to create generative planning algorithms.
• Individual Project: This module enables students to work independently on a project related to a self-selected problem, with the option to undertake an in-company project with an external client.

Teaching and Assessment

The course will mainly focus on a flipped learning approach, supported by a variety of learning activities, including lectures, seminars, and practice-led, self-directed, and experiential learning. Assessments will include coursework, quizzes, presentations, and demonstrations, and will be flexible to allow students to investigate appropriate topics in their own way.

Fees and Finance

Tuition Fees - Full-time

• In 2025/26, the full-time tuition fee for UK postgraduate students on this course will be £9,900 (Band 3).
• Tuition fees for UK students will cover the cost of study at the University.
• For more information about funding, fees, and finance for UK students, please see the University's Fees and Finance page.

Accreditations and Professional Links

This course is accredited by the British Computer Society (BCS), the Chartered Institute for the IT industry. BCS accreditation is awarded to courses that provide a solid foundation in computing and is an indicator of quality to students and potential employers.

Career Support

The University's Careers and Employability Service offers professional help, support, and guidance, including industry-supported workshops, careers fairs, and one-to-one guidance sessions.

Research Excellence

The University of Huddersfield is in the top 50 UK universities for Research Power, with three-quarters of its research being world-leading and internationally excellent. The University's researchers carry out work that makes a real difference to people's lives, and the course is informed by the University's research expertise in artificial intelligence and related areas.