MSc Advanced Computer Science

Students in the MSc Advanced Computer Science at Queen Mary University of London develop practical skills through a curriculum that emphasizes hands-on coursework, lab-based sessions, and research-focused projects led by world-leading academics. Facilities include state-of-the-art computer labs, dedicated project support, and industry-facing opportunities that prepare students for direct engagement with technology employers and real-world problem solving. The program’s structure ensures technical fluency, critical analysis, and collaboration are at the heart of the learning experience.

Key experiential learning highlights include:

• Extensive programming practice in modern languages and frameworks—including functional programming and semi-structured data engineering—in specialist computer laboratories.

• Core coursework and practical assessments involving Machine Learning, Bayesian Decision and Risk Analysis, Security, and Human-Computer Interaction, all supported by hands-on exercises and interactive workshops.

• Access to elective modules mapping current industry needs, often taught in collaboration with partners such as Google, IBM, BT, and Vodafone, as well as opportunities for student-led, staff-supervised research projects with industrial or public-sector links.

• A major final project—often undertaken alongside an external company or leveraging the School’s professional partnerships—which enhances applied research skills and professional readiness.

• Wireless access and advanced digital learning platforms for remote work and collaboration, plus full access to Queen Mary’s libraries and computing environments.

• Regular networking and knowledge exchange through School events, research center workshops, and industry guest lectures, ensuring students are exposed to the latest developments and real-world perspectives.

Graduates of the MSc Advanced Computer Science at Queen Mary University of London enjoy excellent outcomes, with 93% securing employment or further study within 15 months, and an average starting salary of around £42,000 per year. Typical roles include software developer, data analyst, network engineer, and user experience designer, reflecting the program’s preparation for diverse and high-demand tech careers. This degree equips students with advanced skills in AI, machine learning, data engineering, and human-computer interaction, placing them in strong positions across industry and research sectors.

Specifically:

• Queen Mary’s Careers and Employability Service offers tailored support including job application workshops, networking events with companies like Google, IBM, and NASA, and internship placements.

• Employment stats show a high employment rate of 93% within 15 months post-graduation, with graduates working at firms such as BBC, Deloitte, Vodafone, Goldman Sachs, and Wipro.

• The program has strong industry partnerships providing students with project collaboration opportunities and insights into emerging technologies.

• Accredited by BCS, The Chartered Institute for IT, the MSc meets professional standards beneficial for Chartered IT Professional (CITP) recognition.

• Graduates proceed to roles in leading tech companies, public sector IT services, and research labs, equipped with a comprehensive and contemporary skill set.

Further Academic Progression:
Graduates often continue their studies with PhD programs at Queen Mary or other global institutions, focusing on specialized research in AI, data science, human-computer interaction, or cybersecurity to deepen expertise and career impact