Program Overview

MSc Computer Science

Overview

This degree is designed for those with previous qualifications or experience in the fields of technology, computing or computer science. 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.

Course Highlights

• A flexible MSc in Computer Science that gives you a choice of pathways or the freedom to create your own.
• 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.

Course Modules

• DevOps Software Development & Operations (Requisite)
  • Many organisations in many sectors have essentially become software houses with dedicated applications. Delivering value quickly, securely and reliably to customers is as vital to these companies as it is to software consultancies and giant technology firms (such as Google, Microsoft, Apple and Meta).
• Managing Projects and Teams (Requisite)
  • As a computing professional gains experience, opportunities will arise to move beyond the role of a competent team player and project contributor. This can involve taking on responsibilities such as becoming an engineering manager, leading a project, or both.
• Advanced Software Engineering & User Experience (Optional)
  • Software engineering is the systematic, disciplined and quantifiable approach to the development, operation and maintenance of software.
• Cloud Computing (Optional)
  • For many organisations, migrating applications and externally facing customer solutions to the cloud (AWS, Microsoft Azure, or Google Cloud) is part of their trajectory to controlling costs, adapting to change, and delivering services effectively and elastically with a global reach.
• Cryptography and Network Security (Optional)
  • This module is designed to equip you with the essential knowledge and skills needed to excel in the critical field of cyber security.
• Cyber Detection and Forensic Investigation (Optional)
  • This module addresses the critical need for professionals skilled in cyber detection and forensic investigations.
• Advanced Machine Learning (Optional)
  • Artificial Intelligence (AI) includes many techniques for classification, analysis and prediction.
• Deep Learning and Applications (Optional)
  • This module introduces advanced topics in deep learning and how it can solve problems in many areas, such natural language processing, robotics, healthcare and computer vision etc.
• Master Project and Research Skills (Mandatory)
  • This module provides you with an opportunity to apply the knowledge and skills you have acquired so far from your course on a single significant technical project.

Entry Requirements

• UK Academic 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.
• International Requirements
  • A UK Bachelors Degree equivalent in Computing, Computer Science, Software Engineering, Network Engineering, Data Science and AI, Cyber Security or cognate degree, or have equivalent industry experience.
  • IELTS 6.5 overall is required where English is not the student's first language.
• Transferring Credit
  • If you have previously studied at higher education level before you may be able to transfer credits to a related course at the University of Suffolk and reduce the period of study time necessary to achieve your degree.

Career Opportunities

• There is extensive research indicating a shortage of advanced specialist computing graduates in industry.
• 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

Your Course Team

• Dr Felix Ngobigha
  • Dr Felix Ngobigha is a Senior Lecturer in Network Engineering and had previously been Scientific Officer with the Centre for Satellite Technology Development.
• Dr Kakia Chatsiou
  • Kakia is a Lecturer in Computing with expertise in machine learning, information management systems and data science.
• Hisham Jaward
  • Hisham is a lecturer in Computing and AI. Work at previous universities in Monash, Bristol and Imperial College, UK, have included developing algorithms.

Fees and Funding

• 2025/26
  • UK Full-time Tuition Fee: £10,215 per year
  • UK Part-time Tuition Fee: £1,135* per 20 credit module
  • International Full-time Tuition Fee: £15,930 per year
• Further Information
  • Postgraduate Loans are available for this course, we also offer University of Suffolk Alumni a 25% reduction on fees.

Facilities and Resources

• This degree will be delivered as a mixture of theoretical and practical sessions, making use of facilities at the new Adastral Park DigiTech Centre and the IT suites on campus in the Atrium Building.
• As a student on the course, you will have access to library resources, online books and subscriptions to IEEE Xplore and ACM Digital Library and other related publications.
• You will also have access to industry-standard cloud tools for computing (TryHackMe, HackTheBox).