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MSc Artificial Intelligence

Be at the forefront of technological innovation with this MSc Artificial Intelligence degree from the University of Huddersfield. Immerse yourself in practical theory and develop cutting-edge skills to thrive in a rapidly advancing and in-demand industry.

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Time investment: 2 years

Location: Online

Cost: £9,900

Language: English

About this degree

Shape the future and grow your career by mastering AI

Spanning many industries and now essential to our daily lives, the demand for artificial intelligence (AI) is booming. Organisations are now looking for skilled AI specialists who can help transform their businesses with innovative tech solutions.

How can you become the next sought-after AI expert?

The University of Huddersfield’s Artificial Intelligence MSc will help you do just that, arming you with the knowledge and know-how needed to create, manage, and optimise intelligent systems.

Master computer science techniques

World-leading experts and relevant case studies will guide you throughout this comprehensive degree, which covers a range of AI principles, including autonomous systems, data mining, machine learning, and robotics.

Where you’ll be studying

About this University

Studying at the University of Huddersfield

The University is home to six academic Schools of Study: Applied Sciences, Arts and Humanities, Business and Law, Computing and Engineering, Education, and Human and Health Sciences. It is an established and growing centre of research and excellence, pushing the boundaries of knowledge and is recognised for the quality of its teaching, achieving a Gold Award in the Teaching Excellence Framework (TEF) and winning the inaugural Higher Education Academy Global Teaching Excellence Award in 2017.

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Learning outcomes

Autonomous and autonomic intelligent systems

Explore intelligent systems, addressing technical challenges alongside ethical, legal, and human implications.

Robotics

Develop specialist knowledge and skills in robotics, learning more about the integration of mechanical devices, sensors, and intelligent agents, as well as their design, development, and programming.

Artificial intelligence planning

Explore the history and contemporary practices of automated planning, including algorithms, heuristics, and current application areas, like hybrid planning.

Data mining

Learn data mining techniques to extract valuable insights from large datasets, including preparation, exploration, supervised and unsupervised approaches, and social impact considerations.

Knowledge Representation and Reasoning (KRR)

Gain expertise in representing and utilising information for complex tasks through knowledge representation principles, languages, and algorithms, and learn more about its applications, such as the semantic web and knowledge graphs.

Machine learning

Master machine learning techniques for various applications, including deep learning, data-driven approaches, and model-driven learning, with practical evaluation and exploration of applications, like AlphaGo.

Effective research practice

Gain essential skills for a successful computing researcher or practitioner by learning more about research methodologies, how to write research papers, reports and proposals, and effective project management and presentation essentials.

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Additional information

The Artificial Intelligence MSc is open to all learners who meet the following prerequisites:

A BSc or BEng Honours degree (2:2 or above) in computing, engineering, or related subject, or an equivalent professional qualification
Familiarity with discrete mathematics and predicate calculus
Additional qualification(s) at an Honours level and/or experience(s) in computer science, mathematics, and/or engineering

Learners are expected to have an IELTS proficiency score of at least 6.0 (no less than 5.5, or equivalent) if English is not their first language.