The MSc Computer Science at Middlesex offers a blend of advanced theory and hands-on practice in areas like software development, cybersecurity, and blockchain. It suits students who already have some computing background and want to deepen their skills and engage in research or industry work.
Curriculum Structure:
Year 1 (Full-Time / First Teaching Phase):
Students take core modules such as Software Development (object-oriented design, agile methodology, version control), Cybersecurity & Cloud Systems, and Blockchain Development. These modules provide technical foundations in building secure software, understanding cloud security, and designing decentralised systems. In the final phase, students complete Research Methods & Postgraduate Project (60 credits), applying what they've learnt to a substantial individual research or applied software/CS problem. This also includes advanced topics and preparing proposals via the Advanced Topics in Computer Science module.
Focus areas
“Software Development; Blockchain; Cybersecurity & Cloud Systems; Advanced Topics; ML/AI; Research Methods; Project Implementation”
Learning outcomes
“Develop secure and scalable software; understand cloud & blockchain technologies; apply research methods; build advanced systems; solve real-world computer science problems”
Professional alignment (accreditation):
Includes optional industrial placement; strong industry links (Cisco Academy etc.); aligns with employer needs in software & security fields.
Reputation (employability rankings):
67% of graduates entered highly skilled jobs; Middlesex ranks among top UK young universities; facilities include state-of-the-art labs.
This programme is designed to bridge advanced theory with practical application, allowing you to develop specialist computing skills in modern, industry-focused laboratories. You will gain hands-on experience with professional software and development tools, working on projects that reflect current challenges in the computing industry. This practical approach is central to the curriculum and is delivered through:
Specialist Computing Laboratories: You will have access to the University's modern computing labs, including the Networking Lab for systems configuration and the Software Development Lab equipped with high-specification workstations for programming and project work.
Industry-Standard Software and Tools: The curriculum involves practical work with a range of programming languages and platforms, including Java, Python, and C#, alongside database management systems such as Oracle and development environments like Visual Studio.
Substantial Individual Project: A core component is a significant final project where you will apply your knowledge to a substantial computing problem, conducting research and developing a sophisticated software solution.
Practical, Project-Based Modules: Many modules include collaborative group work and practical assignments, simulating a professional environment where you design and implement computing systems to solve complex problems.
Graduates of the MSc Computer Science at Middlesex University are well-prepared for a wide range of careers in technology, demonstrating strong analytical, programming, and problem-solving skills applicable to various IT roles. The program equips them for roles such as Software Developer, IT Systems Architect, IT Security Coordinator, and Information Security Analyst, reflecting the course’s rigorous academic foundation combined with practical experience.
Middlesex’s dedicated career support service, MDXworks, offers personalized employability coaching from day one, industry networking opportunities, and access to over 1,000 employer links across London and globally, including work placements and project collaborations.
Graduate employment statistics illustrate high success rates, with starting salaries typically ranging from £27,000 to £45,000, underpinned by the university’s connections to leading companies such as Amazon, Arm, IBM, and Jaguar.
Middlesex’s strong industry partnerships include collaborators like EC-Council, Red Hat, Cisco, Microsoft, Siemens, and Ford, offering students access to certifications, hands-on training workshops, research projects, and real-world industry problems.
The program’s affiliation with Cisco as a Local Academy and the provision of recognized industry certifications provide graduates with long-term accreditation value, while facilities such as the Ritterman labs support cutting-edge practical learning.
Graduates benefit from a curriculum enriched with emerging fields including AI, cybersecurity, data science, cloud computing, and blockchain, enabling them to adapt and lead in evolving technology sectors.
Further Academic Progression:
Upon completing this MSc, students may pursue PhD studies in fields such as Computer Science, Cybersecurity, or Artificial Intelligence at Middlesex or other research-intensive institutions. Other options include interdisciplinary research projects, professional certifications, and participation in entrepreneurial activities supported by university programs to further career development.
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