University of Greenwich

Computer Science MSc

Advance your career in computer science with this Master’s in Computer Science. Choose from a range of options, including cyber security, forensics, business intelligence and software engineering.

On this MSc Computer Science course, you will study, employ and reflect on the principles that underpin computer science. You can choose from a range of options, including machine learning, data science, cyber security and forensics, and wireless and mobile technologies.

You will gain practical experience in the analysis and understanding of problems, systems and structures through case studies. As a result, you'll be equipped to deal with the intense demands of modern computer science and to respond with solutions that meet the needs of commerce, industry, or research.

  • You will gain the practical skills and theoretical knowledge for careers in the expanding field of Computer Science.
  • You can specialise in one of two exciting pathways: Data Science or Network Engineering.
  • The University of Greenwich is an academic partner with The Council for Registered Ethical Security Testers (CREST).
  • The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.

Career Prospects

What sort of careers do graduates pursue?

Graduates from this Computer Science course are equipped for employment in industry, commerce or research with proficiency in the key theoretical and practical areas in computer science, including their application to modern software systems development.

Do you provide employability services?

Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.

The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.

Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.

Course Details

Full Time Year 1

Compulsory modules.
MSc Project (60 credits)
Enterprise Software Engineering Development (15 credits)
Programming Enterprise Components (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Software Quality Management (15 credits)
Essential Professional and Academic Skills for Masters Students

Optional modules
Mobile Application Development (15 credits)
Cyber Security (15 credits)
Network and Internet Technology and Design (15 credits)
Machine Learning (15 credits)
JVM Programming Languages (15 credits)
Programming Fundamentals for Data Science (15 credits)

Optional modules
Audit and Security (15 credits)
System Administration and Security (15 credits)
Network Architectures and Services (15 credits)
Penetration Testing (15 credits)
Big Data (15 credits)
Wireless and Mobile Technologies (15 credits)
Data Visualisation (15 credits)
Applied Machine Learning (15 credits)

Part Time Year 1

Enterprise Software Engineering Development (15 credits)
Programming Enterprise Components (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Software Quality Management (15 credits)
Essential Professional and Academic Skills for Masters Student

Part Time Year 2

Compulsory modules.
MSc Project (60 credits)

Optional modules
Mobile Application Development (15 credits)
Cyber Security (15 credits)
Network and Internet Technology and Design (15 credits)
Machine Learning (15 credits)
JVM Programming Languages (15 credits)
Programming Fundamentals for Data Science (15 credits)

Optional modules
Audit and Security (15 credits)
System Administration and Security (15 credits)
Network Architectures and Services (15 credits)
Penetration Testing (15 credits)
Big Data (15 credits)
Wireless and Mobile Technologies (15 credits)
Data Visualisation (15 credits)
Applied Machine Learning (15 credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

Are you ready to start building your future?

Contact our admission counseller and get a free consultation.