MSc Computer Science (Conversion) in London United Kingdom | Queen Mary University of London

Get ready to launch your tech career with this conversion MSc program, tailored for ambitious graduates from all backgrounds looking to transition into the technology sector, regardless of previous computing knowledge. Boost your career prospects by mastering computer science principles. Acquire specialized technical expertise while building upon your current qualifications and professional background. Participants may also engage in an industry-sponsored project during summer months, pending a competitive selection process.Hone your coding and software development abilities to unlock diverse opportunities in the technology field.Customize your learning path by selecting either the Business or Software Systems specialization track.Our Industrial Advisory Board regularly reviews this program to maintain curriculum relevance with evolving sector needs and technological advancements.Program overviewThis course delivers comprehensive theoretical knowledge and hands-on computer science training. With a strong focus on practical implementation, the curriculum centers on software development, computing infrastructure, and their business applications.EvaluationCourse components are evaluated through blended assessment methods including practical assignments and formal exams. The program culminates with a capstone research project.InstructionDelivery methods incorporate traditional lectures, interactive workshops, and digital learning platforms. All modules feature dedicated faculty contact hours supplemented by laboratory sessions and guided independent study.Career opportunitiesAlumni have secured positions as Technology Consultants, Solutions Architects, Front-end Developers, Business Systems Analysts, Application Developers, and Infrastructure Specialists across multiple industries.Some graduates have pursued doctoral research in computing and electronic engineering fields.Notable employers of our EECS graduates include JPMorgan Chase, Amazon, Samsung, Deutsche Bank, CGI, UBS, Deloitte, London Underground, Comcast, and Leonardo.