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Different course options

Full time | Ipswich Main Campus | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

Master of Science - MSc (PG)

Subject areas

Computer Science

Course Summary

This degree is designed for those with previous qualifications or experience in the fields of technology, computing or computer science. If you do not have experience of studying or working in these fields, please consider our MSc in Applied Cyber Security or MSc in Data Science and Artificial Intelligence.

The MSc Computer Science course is a taught postgraduate course aimed at students with a substantial background in computing who would like to study advanced computing concepts and technologies, covering a wide variety of topics in depth with dedicated experts teaching on each of the pathways. The MSc Computer Science degree provides you with a wealth of opportunities to choose your own path of specialisation into a computing career. The course includes four core modules (Dissertation and Research skills, Topics in Emerging Technologies, DevOps, Managing Projects and Teams) and three optional modules from a range of modules offered in artificial intelligence, cyber security, and software development.

Core modules will cover aspects of computing that are common across all subdomains of computing, whereas optional modules will include a choice of topics helping you specialise in an area of your preference (cyber security, software development, artificial intelligence). The programme is suitable for students from computing backgrounds who are interested in a career orientated towards an industry role, as well as in academia.

Course Highlights
A flexible MSc in Computer Science that gives you a choice of pathways or the freedom to create your own. You can choose from one of three pathways in Cyber Security, Software Engineering or Artificial Intelligence.

Access to resources from some of the largest tech companies including Amazon Web Services, Juniper, Oracle and our Google Student Club.

Access to world-class specialist laboratories at our new state-of-the-art DigiTech Centre located at Adastral Park, home to over 150 high-tech ICT companies and BT’s innovation labs.

Opportunities to work on real-world projects in collaboration with industry leaders and experts using the latest technologies.

An annual schedule of industry events and hackathons allowing you to apply the knowledge and skills you learn from the course.

An opportunity to start your own business with the University of Suffolk’s Innovation Centre (IWIC) and gain guidance from business leaders and academics.

Career Opportunities
There is extensive research indicating a shortage of advanced specialist computing graduates in industry - for example demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (+231%), according to a labour market analysis commissioned for Dynamics of data science skills by the Royal Society and the (ISC)² Cybersecurity Workforce Study surveyed nearly 12,000 cybersecurity professionals worldwide (2022) and identified a global cybersecurity workforce gap of 3.4 million people, indicating strong career prospects for graduates. Many local businesses with whom we have strong links, such as BT, Juniper, Viavi, Gallagher, MSC, local Councils, NHS and other large local employers have strong and sustainable need for individuals with advanced computing training.

Graduates from this programme can work as expert computing professionals in areas of:

Cyber Security

Cloud Computing

Distributed Systems

Network Systems

Embedded Systems

Artificial Intelligence

Machine Learning

and more

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£9,150

International fees
Course fees for EU and international students

For this course (per year)

£15,210

Entry requirements

Applicants will need to hold at least a 2:2 BSc Degree in Computing, Computer Science, Software Engineering, Network Engineering, Data Science and AI, Cyber Security or cognate degree or have equivalent industry experience.

Applicants may be expected to attend an interview as part of the application process.