BSc Computer Science and Artificial Intelligence
About this course
Computer science and artificial intelligence together form one of the most significant disciplines in contemporary education and industry. Computer science provides the theoretical foundations, including algorithms, data structures, software engineering, computer architecture, and the mathematics of computation, that underlie all digital technology. Artificial intelligence extends these foundations into the development of systems that can learn from data, reason under uncertainty, perceive the world through images and language, and act in complex environments. AI is no longer a specialised research topic; it now influences how we work, study, create, communicate, and navigate daily life, from health diagnostics and financial tools to real-time traffic systems and creative software. At Queen Mary University of London, this four-year full-time degree gives you a rigorous grounding in both computer science and AI, developing both the theoretical depth and the practical engineering skills that the sector demands. You will study the mathematical and computational foundations of the discipline alongside the core machine learning methods, deep learning architectures, and AI application areas that are shaping the technology landscape. Queen Mary has a strong research environment in both computer science and AI, and its east London location places you close to one of the UK's most active technology and creative industries clusters. Graduates in computer science and AI have access to some of the most in-demand careers in the modern economy. Machine learning engineering, AI research, software development, data science, robotics, natural language processing, and computer vision are among the most direct technical destinations. Others work in product management, technology consultancy, and the digital transformation functions of organisations across healthcare, finance, media, retail, and government. For those drawn to academic research, the degree provides excellent preparation for postgraduate study at Masters or doctoral level in AI, machine learning, or a specialist area of computing. The typical entry tariff is 152 points.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 305 respondents (68% response rate)
Similarly Ranked Alternatives
What comes next? 🎓
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai →