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  • DeadlineStudy Details: 1 year full-time Up to 2 years full-time with professional placement

Masters Degree Description

This course aims to equip you with the skills needed to drive innovations in fields like weather prediction, financial forecasting, medical diagnostics and customer behaviour analysis.

Master core concepts: gain a deep understanding of essential computing principles, applications and technologies.
Explore fascinating fields: master practical skills and theoretical knowledge in artificial intelligence, cyber security, data science, and parallel and distributed computing, and learn how these areas continue to drive major developments and innovations in the domain of computer science.
Engage in vocationally driven study: course content is informed by professional practice and the needs of industry with a focus on your employability
Hone your skills: specialise in cutting-edge fields like machine learning, big data, cloud computing, or high-performance computing.

Start dates:

  • March 2026
  • May 2026
  • July 2026
  • September 2026

Entry Requirements

An honours degree 2:2 or above (or international equivalent) in a computational discipline.

We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

A range of financial support is available for postgraduate study including loans, flexible payment options, discounts and scholarships.

Student Destinations

On successful completion of the course, you may choose to pursue a career as:

Software Developer (App/web developer, embedded software developer / Internet of Things developer, cloud developer)
Data Scientist
Data Analyst
Cloud Solutions Architect
Cybersecurity Engineer
Machine Learning Specialist
AI developer or specialist
Software Engineer.

Module Details

Advanced Programming — 30 credits
Advanced Software Development — 30 credits
Secure Computing Systems — 30 credits
Machine Learning and Big Data - 30 credits
Master's with professional placement
Individual Research Project — 60 credits

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