Newcastle University Postgraduate programs
Cloud Computing MScNewcastle upon Tyne, United Kingdom
DURATION
24 months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 31,700 / per year **
STUDY FORMAT
On-Campus
* no application deadline for this course
** international students | GBP 14,500 - home students full-time | GBP 7,250 - home students part-time 24 months per year
Key Summary
Introduction
We produce experts with practical experience. They work with companies from around the world realising the business benefits of this exciting technology.
Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed.
Our Cloud Computing MSc focuses on both theory and practice so that you can understand and implement cloud computing applications. You'll cover key subjects such as:
- advanced object-oriented programming
- data mining
- big data analytics
You'll develop both your technical and professional skills to underpin personal development and future career success. Our comprehensive research training provides a basis for PhD study.
This is a demanding and rewarding course. We have close links to research:
- the Scalable Group
- the National Innovation Centre for Data (NICD)
Our cloud computing research also has links with companies such as Red Hat and Hewlett-Packard. They often employ our graduates and also offer summer project internships to students.
Professional accreditation and recognition
British Computer Society (BCS)
The course is accredited by the British Computer Society (BCS). The BCS is the chartered institute for IT. Studying for a BCS-accredited degree provides the foundation for professional membership of the BCS upon graduation and is the first step to becoming a chartered IT professional.
Network of Teaching Excellence in Computer Science
The School of Computing at Newcastle University is an accredited and recognised Partner in the Network of Teaching Excellence in Computer Science.
Rankings
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- Global Top 130 University - QS World University Rankings 2025
- Global Top 170 University - Times Higher Education World University Rankings 2024
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024
Curriculum
What you'll learn
Through compulsory modules, you'll develop your understanding and competence in cloud computing.
Compulsory Modules
- Engineering for AI 10
- Distributed Algorithms 10
- Enterprise Middleware 10
- Cloud Computing 10
- Machine Learning 10
- Internet of Things 10
- Research Methods and Group Project in Cloud Computing 20
- Project and Dissertation for MSc Cloud Computing 90
- Advanced Programming in Java 10
You must also take Advanced Programming in Java. If you have limited programming skills, it may be possible with approval from the Degree Programme Director to replace this with Object-oriented Programming.
Career Opportunities
You'll develop both your technical and professional skills to underpin personal development and future career success. Our comprehensive research training provides a basis for PhD study.
Our graduates have an excellent record of finding employment. Recent examples include:
- software engineer for IBM UK
- software developer for Red Hat
Admissions
Program Tuition Fee
Program delivery
Our Cloud Computing MSc can be completed full time or part time.
Full-time students are taught in three blocks. Each block is timetabled to accommodate all formal lectures and practical sessions for the modules covered in that block. This arrangement is to provide the foundational knowledge necessary to study the modules covered in later blocks.
Part-time students have the flexibility to study over two years.
The part-time version of the course is designed to encourage participation of employees from local IT companies. As a part-time student you can carry out your individual project in your place of work, as long as the supervisory processes in place meet University standards.