MSc Computer Science with Artificial Intelligence

To apply, you’ll need to meet the following entry requirements: 

• A UK honours degree at 2:2 or above (or equivalent international qualification) in a subject other than computing. 

If you hold a non-honours degree and 2 years’ professional experience in one or more computing-related roles, you’re still encouraged to apply. We’ll review your academic and professional background on a case-by-case basis. Applicants without a first degree but with more than two years’ relevant professional experience in computing-related roles may be considered.

Thinking of transferring institutions or have you studied before? You can apply to transfer up to 60 credits towards your master's degree. Please note that credits can’t be awarded for the research module of this programme. 

These credits must be relevant, current, and aligned with the subject matter of your chosen MSc Computer Science pathway. 

• Review our recognition of prior learning process.

• Speak to our Enrolment Team.

• Submit a recognition of prior learning form alongside your application.

If English isn't your first language, you’ll be asked to provide proof of your English language proficiency in one of the following forms. Alternatively, you may be accepted if you have previously studied in English at an appropriate level and attended a recognised institution.

IELTS

• Evidence of a score of IELTS Level 6.0 or above with no element below 5.5. 

TOEFL iBT®

• Evidence of a score of 79 overall (with 18 in reading, 17 in listening, 20 in speaking and 21 in writing). 

Trinity College London Integrated Skills in English (ISE)

• Evidence of a score of ISE II with distinction in each skill.

Cambridge Certificate of Proficiency or Cambridge Certificate of Advanced English

• Evidence of a score of 170 overall, with 160 in each component. 

On this online Computer Science (Cyber Security) programme, you’ll study a series of carefully designed modules. With flexible monthly starts, you’ll join the next available module and study alongside a cohort of computer science master's students learning the same subject at the same time.

• Fundamentals of Cyber Security Practice
  Explore network security, cryptography, ethical hacking, digital forensics, and secure software development, applying your learning in a virtual lab environment to configure defences and respond to simulated incidents.

• Cyber Security for Digital Business
  Secure entire organisations against modern threats. You’ll design layered security strategies, assess risks, and implement controls that protect systems, data, and people – balancing technical measures with business priorities for lasting resilience. 

• Software Engineering
  Apply the software development lifecycle to create secure, maintainable, and high-quality systems. Use agile practices, testing methods, and effective engineering decisions to reduce vulnerabilities early in the design process.

• Modern Database Systems
  Understand how database choices affect performance, scalability, and security. Learn to design and implement relational and NoSQL systems, manage access and transactions, and use industry-standard tools such as MariaDB and MongoDB.

• Fundamentals of Artificial Intelligence (AI)
  Discover how AI and machine learning can be applied to strategic decision-making, using industry tools such as Google Cloud AutoML. Analyse datasets, experiment with algorithms, and evaluate models while considering ethical, commercial, and strategic implications.

• Information Systems Development

  Analyse user and organisational needs to design secure, effective information systems, using HTML, CSS and JavaScript programming languages. Explore requirements analysis, modelling techniques, and development methods that ensure usability, compliance, and resilience.

• Computer Networks
  Explore how networks operate and how to protect them. Study architectures, protocols, and performance management, and apply techniques for configuring, monitoring, and securing networked systems.

• Cloud Computing
  Learn to design, deploy, and secure solutions in cloud environments. Work with virtualisation, networking, and containerisation while addressing the benefits, challenges, and security considerations of cloud platforms.

• Project Management and the Computing Professional
  Develop the ability to lead complex computing projects. Cover system modelling, risk management, scheduling, budgeting, and stakeholder engagement, with a focus on delivering projects that meet technical and security requirements. 

• Research Development
  Prepare for your final research project by building advanced research skills. Review literature, refine your research question, plan your methodology, and consider the ethical and professional issues in your chosen area. 

• Research Project
  Undertake a substantial independent investigation in a cyber security-related area. Apply the knowledge and skills gained during your studies to produce original work, from problem definition and solution design to evaluation and professional reflection. 

Across your MSc, you’ll complete a mix of assessments designed to stretch your thinking, strengthen your communication skills, and bring your learning to life. Each module (except your final research modules) includes three assignments – helping you build confidence, test ideas and apply theory in more than one way. 

Here’s a snapshot of the main types of assessments you’ll complete across your core modules. Want to know what assessments you’ll sit for each module, or just need more detail? Request more info and our team would love to talk it through with you.

• Technical report: produce a detailed, well-structured analysis of a technical problem, solution, or system, often with screenshots, code snippets, or configuration evidence. 

• Design or implementation project: plan, build, and document a working prototype, model, or system using industry-standard tools and practices. 

• Case study analysis: evaluate a real or simulated scenario, identify challenges, and propose solutions grounded in computing principles and current best practice. 

• Discussion board contribution: engage in structured, tutor-led online debates, demonstrating critical thinking, problem-solving, and collaboration. 

• Portfolio: compile artefacts such as code, diagrams, system models, and explanatory notes to showcase your technical and professional skills. 

• Ethics or strategy briefing paper: advise an organisation, client, or committee on a complex technology issue, balancing technical, ethical, and commercial perspectives. 

• Presentation or video demonstration: explain your project or technical findings in a recorded or live presentation, sometimes paired with a live or narrated system demo. 

• Research dissertation: complete an in-depth research project that tackles a significant computing challenge, presenting your findings, methodology, and technical recommendations in a formal dissertation.