Program Overview

Overview

The Computing MSc at the University of Huddersfield is designed to enhance computing skills and information technology (IT) knowledge. This advanced course aims to meet the industry demand for computer science and IT experts with advanced skills and competencies.

Key Information

Entry Requirements

• An Honours degree (2:2 or above) in business computing/IS/ICT-related subject or an equivalent professional qualification.
• Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level.
• Substantial (3 years) relevant industry experience in a management role.
• If the first language is not English, the minimum English Language qualification requirement is IELTS 6.0 overall with no element lower than 5.5, or equivalent.

Start Dates

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

Duration

• 1 year full-time

Course Detail

Core Modules

• Semantic Web: This module covers basic languages for describing ontologies, as well as languages and tools for processing and querying them.
• Autonomous and Autonomic Intelligent Systems: This module aims to cover the background and requirements for intelligent systems autonomy in a wide range of applications.
• Web and Network Services: This module considers how the Internet can be used to provide services, such as the web-enabled provision of information, cloud computing, and VoIP.
• Effective Research and Professional Practice: This module provides skills that are key to helping students become successful computing researchers or practitioners.
• Data Mining: Data mining is a collection of tools, methods, and statistical techniques for exploring and extracting meaningful information from large data sets.
• Individual Project: This module enables students to work independently on a project related to a self-selected problem.
• Software Development: This module brings together database, object-oriented semantics, and web authoring skills using an appropriate set of development tools.
• Machine Learning: Machine Learning techniques are now used widely in a range of applications either stand-alone or integrated with other AI techniques.
• Databases for Large Data-sets: The data needs of modern enterprises and organisations require a more flexible approach to data management than that offered by traditional relational database management systems.

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. A variety of assessment strategies will be used depending on the type and nature of the module, including coursework, quizzes, presentations, and demonstrations.

Why Study with Us?

• The University of Huddersfield is nestled within the heart of Huddersfield, a warm and welcoming town known for its friendly atmosphere and diverse community.
• The course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, students will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.

Fees and Finance

• 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, including what the tuition fee covers, please see the University's Fees and Finance page.

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. The service helps students focus on life after graduation to achieve their ambitions.

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, serving as an indicator of quality to students and potential employers.