Computer Science

The Bachelor of Science in Computer Science at Queen Mary University of London offers students a comprehensive grounding in the fundamental principles and practical applications of computing. This programme equips students with a deep understanding of algorithms, programming languages, software development, computer hardware, and system design, preparing them for a wide range of careers in technology and related fields. The curriculum combines theoretical knowledge with hands-on experience, enabling students to develop strong problem-solving skills, analytical thinking, and technical expertise. Throughout the course, students explore core areas such as data structures, databases, networks, cybersecurity, artificial intelligence, machine learning, and human-computer interaction, ensuring they stay at the forefront of technological advancements. The programme also emphasizes teamwork and communication skills, essential for successful collaboration in professional environments. Students benefit from state-of-the-art laboratories, industry-focused projects, and opportunities for work placements, which enhance practical understanding and facilitate seamless transition into the workforce. Queen Mary’s vibrant and diverse academic community provides a dynamic learning environment that fosters innovation, creativity, and academic excellence. Graduates from this programme are well-prepared for careers in software engineering, data analysis, systems development, cybersecurity, research, and further postgraduate studies. The Bachelor of Science in Computer Science at Queen Mary University of London represents a rigorous and rewarding pathway for students passionate about shaping the future of technology and making impactful contributions to society through computing innovation.

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Core module

• MSc Project

Option modules

• Advanced Database Systems and Technology
• Advanced Program Design
• Big Data Processing
• Business Technology Strategy
• Design for Human Interaction
• Foundations of Intellectual Property Law and Management
• Functional Programming
• Information Retrieval
• Interactive System Design
• Introduction to Computer Vision
• Introduction to Law for Science and Engineering
• Machine Learning
• Mobile Services
• Program Specifications
• Real-Time and Critical Systems
• Security and Authentication
• Software Analysis and Verification
• Bayesian Decision and Risk Analysis
• Techniques for Computer Vision
• The Semantic Web
• XML and Structured Documents

Requirements

• An upper second class degree is normally required, usually in electronic engineering, computer science, maths or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
• For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).
• Degree transcripts. Please provide a transcript of your degree(s). If you have not yet completed your degree please provide a transcript of your results achieved to date. 
• If your degree was from an overseas institution, you should supply a transcript of your marks for each year of your studies and a copy of your degree certificate together with a certified translation if the document is not in English. Please note that original documentation will be required before you enrol. International applicants are also advised to include high school transcripts
• Please provide the contact details of two referees, at least one reference must be from an academic referee who is in a position to comment on the standard of your academic work and suitability for postgraduate level study. Where appropriate, a second referee can provide comment on your professional experience.
• Curriculum Vitae (CV)/ Resume
• Statement of purpose. Your statement of purpose should explain why you want to study your chosen programme and how it will help your life and career. This should typically be one side of A4 paper.

The Queen Mary University of London offers a variety of funding options and financial support for students enrolled in their Computer Science degree programs. Funding opportunities are designed to assist both domestic and international students in covering tuition fees, living expenses, and other study-related costs. Scholarships and bursaries are available based on academic merit, financial need, or specific eligibility criteria such as nationality or targeted fields of study. For prospective students, it is recommended to explore the university's official website for detailed information on scholarships, including the Queen Mary University of London International Scholarships, which are awarded to outstanding international applicants.

Additionally, students may access government-funded schemes, student loans, and external bursaries from organizations that support higher education. For UK students, there are options such as the Student Loans Company, which provides loans for tuition fees and maintenance. International students are encouraged to research external scholarship opportunities and sponsorships relevant to their country of origin. The university also offers part-time work opportunities and internships that can help students supplement their finances during the course of their studies.

Payment plans are available to manage tuition fee payments over the academic year, and financial advice is accessible through the university’s student services. It is advisable to contact the university’s financial aid office for personalized guidance and to review the latest information on available funding sources, eligibility criteria, application deadlines, and required documentation. The university is committed to supporting its students financially, ensuring that capable students can pursue their Computer Science degrees regardless of economic background. Overall, the financing landscape at Queen Mary University of London is comprehensive, providing multiple avenues to secure financial assistance throughout your academic journey.

Queen Mary University of London offers a comprehensive BSc Computer Science programme designed to equip students with fundamental and advanced knowledge in computing. The course focuses on developing core skills in programming, algorithms, systems analysis, and software development, while also providing opportunities to specialise in areas such as artificial intelligence, data science, cybersecurity, and software engineering. Throughout the programme, students engage with a variety of programming languages and tools, gaining hands-on experience through practical projects, laboratory work, and collaborative assignments that mimic real-world scenarios. The curriculum balances theoretical foundations with practical applications, ensuring graduates are well-prepared for careers in the technology sector or for further study in postgraduate programmes.

The programme typically spans three years full-time, with opportunities for industrial placements, study abroad, or combined honours options that enhance employability and global perspective. Queen Mary University has strong links with industry partners, allowing students to attend guest lectures, workshops, and networking events that deepen understanding of current technological trends and challenges. The university’s state-of-the-art computing facilities and dedicated labs provide an ideal environment for learning and experimentation. Students are encouraged to participate in research projects and hackathons, fostering innovation, problem-solving skills, and teamwork.

Queen Mary’s Computer Science course emphasizes its commitment to inclusivity and modern education practices, incorporating industry-relevant skills such as cloud computing, machine learning, and cybersecurity measures aligned with current IT demands. Graduates from this programme often pursue careers in software development, systems analysis, cybersecurity, and data analysis, or continue their studies at postgraduate levels. The university’s strong academic reputation and vibrant student community make it an attractive choice for students passionate about technology. The programme is accredited by relevant professional bodies, ensuring it meets high standards of quality and relevance in the rapidly evolving field of computing.