The MSc Advanced Computer Science at the University of Essex is a flexible and comprehensive programme designed to help students master key areas in computer science that excite and inspire them. It combines rigorous academic study with practical project work to prepare graduates for leadership roles in research, development, and industry.
Curriculum structure
Students undertake core modules including Computer Security, Group Project, and an extensive MSc Project and Dissertation which provides hands-on experience in applying advanced computer science concepts. Additional options cover topics like Mobile and Social Computing, Machine Learning, and Cloud Computing, enabling students to tailor their learning to personal interests and emerging technologies. Teaching methods include lectures, labs, group projects, and individual supervision, with assessment based on coursework, exams, and project presentations.
Focus areas
Computer security, machine learning, mobile and social computing, cloud technologies, group project development, and independent research.
Learning outcomes
Graduates gain the ability to design advanced computer systems, implement secure software solutions, analyse and apply machine learning algorithms, collaborate effectively on complex projects, and conduct original research leading to innovative software applications.
Professional alignment (accreditation)
The course is accredited by the British Computer Society (BCS) and the Institution of Engineering and Technology (IET), partially fulfilling academic requirements for Chartered IT Professional and Chartered Engineer status.
Reputation (employability rankings)
The University of Essex is recognized for excellence in research and teaching within computer science and engineering, ranked 6th in the UK for research power in computer science according to the Research Excellence Framework 2021, enabling strong graduate employability outcomes
If you're looking to push the boundaries of what's possible with technology, the MSc Advanced Computer Science at the University of Essex is designed to give you the deep, hands-on expertise you need. You'll be based in our School of Computer Science and Electronic Engineering, where you'll move beyond the fundamentals to tackle advanced topics like artificial intelligence, big data, and Internet of Things technologies. Your learning will be intensely practical, giving you the chance to work with the same cutting-edge tools and equipment used by industry professionals and our own groundbreaking researchers.
This programme is built around applying advanced concepts in a real-world context, and you'll have access to fantastic resources to make that happen:
Specialist Laboratories: You will have access to our suite of dedicated labs, including Robotics Lab with Baxter and Turtlebot robots, a Specialist Embedded Systems Lab with Oculus Rift and Arduino kits, and a Secure Cyber-physical Systems Lab for security research.
Industry-Standard Software & Tools: Get hands-on experience with a wide array of professional tools. Depending on your chosen modules, this includes software like Hadoop for big data processing, TensorFlow for machine learning, and NS-3 for network simulation.
Practical Project Work: The core of your experience is the MSc project, a substantial piece of individual research and development. This is where you'll apply all your skills to a complex problem, often drawing on the research strengths of our academics in areas like intelligent systems and robotics.
Research-Led Teaching & Institutes: You’ll be taught by experts from our research groups and institutes, such as the Institute for Analytics and Data Science (IADS) and the ESSEX Lab for experimental social sciences, providing opportunities to work on real, cutting-edge research challenges.
Extensive Computing Resources: You will benefit from the School's high-performance computing resources and have full access to the University's Library Services, including its vast collection of electronic journals, databases, and specialised computing literature.
This programme is your gateway to becoming a specialist and an innovator. You'll graduate with a strong portfolio of practical skills and the confidence to take on leading technical roles in software engineering, AI, data science, and beyond.
Graduates from Essex’s MSc Advanced Computer Science often move into roles such as Machine Learning Engineer, Security Specialist, Data Scientist, or Software / Systems Architect. Because the degree lets you choose from cutting-edge topics (e.g. robotics, security, game dev, intelligent systems) and includes a substantial project, many alumni are well-prepared for both technical industry roles and research paths.
Progression & Future Opportunities:
Here’s how Essex supports you, and what outcomes you can expect:
Which university services will help students to employ:
Employment stats and salary figures:
University–industry partnerships (specific):
The School is involved in externally funded research (over £4 million in recent funding) and contracts with government and industrial organisations. This gives you exposure to research-led, real-world problems and sometimes collaboration opportunities.
The departments have labs covering robotics, embedded systems, intelligent and adaptive systems, brain-computer interfacing etc., which are fields with strong industry and government interest. You’ll often work with tools and in environments that mirror what is used in practice.
Long-term accreditation value:
The degree is accredited by BCS for partially meeting academic requirements for Chartered IT Professional, and by IET and BCS for further learning toward Chartered Engineer (CEng) status (if you already have a suitable accredited undergraduate degree). (Accreditation info Essex)
Because Essex’s Computer Science & Electronic Engineering is ranked highly in the UK for research power (REF 2021), the academic strength enhances the recognition of your degree in both industry and the research community.
Graduation outcomes:
On graduating, you’ll have completed a major dissertation/project (60 credits) where you apply what you’ve learned to a problem of your choice, demonstrating independent research, programming/engineering, and presentation skills. (Course structure Essex)
You’ll also have done compulsory modules in Machine Learning and Computer Security, plus the chance to specialize via optional modules in areas like web/cloud tech, robotics, evolutionary computation, human language processing etc.
Many former students have gone into senior positions across companies in IT, finance, engineering, or into research roles or further study—so employers respect this combination of choice, technical depth, and project experience.
Further Academic Progression:
After completing the MSc Advanced Computer Science at Essex, you’re in great shape to push further academically if that’s your aim. You could pursue a PhD in any of the areas you’ve specialised in (e.g. robotics, machine learning, security etc.)—with your dissertation providing a strong stepping stone. Alternatively, if you'd prefer industry, the accreditation and project-based experience give you credentials for leadership or specialized technical roles, or even roles that bridge research and development.



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