Computer Science MSc (Distance Learning)
- Time investment
- 2 years part-time
- Location
- Online
- Cost
- £9,900
- Language
- English
About this degree
Master data-driven approaches to computer science and forge a bold new digital future
Advance your career with an online Computer Science MSc designed for ambitious professionals looking to develop expertise in artificial intelligence, machine learning, cybersecurity, and software engineering.
Study flexibly from anywhere while building industry-relevant skills in one of today’s fastest-growing fields.
Study an online Computer Science MSc with a top rated University
On this degree, you’ll develop advanced computing expertise through a flexible distance learning Computer Science master’s degree built around today’s evolving technology landscape.
Gain practical and theoretical knowledge in AI, software development, intelligent systems, and secure computing while studying around your existing commitments.
You’ll immerse yourself in the diverse field of computer science, preparing you for a competitive job market.
Build future-ready computing expertise
Designed in response to growing industry demand, this programme prepares you to design scalable, secure, and intelligent systems.
Optional modules allow you to tailor your studies toward big data, predictive analytics, or cybersecurity pathways aligned with your career ambitions.
Apply your AI skills in practice
To ensure you’re prepared the moment you graduate, this online degree offers ample opportunities to apply your learning in real-time.
You’ll work through case studies in data analytics and artificial intelligence, broadening your understanding of the historical, current, and future application of both fields.
You’ll also complete an independent project, giving you the chance to tackle a real-world challenge, either with an external client or through internal research projects. This project allows you to integrate your learning, demonstrate your skills, and further develop your expertise in AI and data analytics.
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.
Where you’ll be studying
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.
Analyse advanced datasets
Apply data-driven methods and analytical techniques to solve real-world computing challenges.
Develop AI expertise
Build advanced knowledge of artificial intelligence, machine learning, and intelligent systems used across modern industries.
Apply software engineering principles
Design, implement, test, and evaluate complex computing systems using contemporary tools and methodologies.
Evaluate emerging technologies
Critically assess computational approaches while understanding ethical, professional, and societal considerations.
Create secure computing systems
Develop practical skills in secure systems architecture and modern digital infrastructure design.
Deliver independent research
Complete a substantial research or development project addressing meaningful and complex computing challenges.
Find out more about this degree
Additional information
If you completed your qualification more than ten years ago, evidence of current subject knowledge may be requested, such as recent professional experience, training, or references.
Applicants with alternative qualifications or substantial industry experience demonstrating honours-level knowledge may also be considered.
If English is not your first language, you'll need an IELTS score of 6.0 overall with a minimum of 6.0 in writing and no component below 5.5. Alternatively, a Duolingo English Test score of 105 or above may be accepted
• Coursework assignments
• Practical projects
• Technical reports
• Research activities
• Individual project work
• Module-based assessments
Your advanced technical skills will be valued by technology companies, start-ups, consultancies and multinational organisations working across AI-enabled and data-driven environments.
This degree can prepare you for roles such as:
- Software Engineer
- Data Scientist
- AI Engineer
- Security Engineer
- Machine Learning Specialist
- Systems Architect
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