Overview

Designing intelligent computational architectures and embedding autonomous decision-making capacities into software systems are reshaping the modern technological paradigm. The BSc (Hons) Computer Science and Artificial Intelligence at Queen Mary University of London offers an extensive education that merges foundational software engineering principles with advanced machine learning methods. Taught by research leaders within specialized computer science and robotics groups, the degree provides students with insights into cutting-edge fields such as deep learning, game artificial intelligence, and operating systems. Scholars engage in hands-on technical training within modern computing laboratories, exploring how software solutions address real-world challenges across healthcare, finance, and urban navigation. The curriculum balances theoretical computer science logic with applied intelligence frameworks, culminating in an independent software system design project tailored to individual interests. This program is ideal for analytical thinkers driven to master computational structures and pioneer intelligent software innovations across diverse global industries.

What You'll Learn

•    Procedural programming foundations, computer architecture, and hardware networking fundamentals
•    Logic principles, discrete mathematical structures, and research methodologies in computer science
•    Object-oriented software development and essential web development technologies
•    Foundations of information security, artificial intelligence theories, and formal language models
•    Algorithms, data structures, probabilistic methods, and matrix algebra for computational systems
•    Software engineering practices, database management architectures, and operating system design
•    Advanced artificial intelligence concepts, including neural networks, deep learning, and natural language processing
•    Specialist topics including data mining, big data processing, computational imaging, and game design
•    Independent software research and individual systems design project execution

Learning Outcomes

Graduates will possess a comprehensive understanding of computing architectures, theoretical logic, and intelligent algorithm design. They will demonstrate advanced capabilities in analyzing complex data structures, engineering scalable software, and implementing deep learning algorithms to address multifaceted technical problems. Students build practical expertise in modern programming frameworks, database administration, and security engineering through rigorous laboratory exercises. Furthermore, learners gain the ability to critically evaluate ethical implications, computational efficiency, and operational challenges associated with deploying artificial intelligence models in real-world contexts. Through elective technical pathways and a substantial final-year software development project, scholars cultivate specialized expertise and technical problem-solving capabilities, leaving them fully prepared to excel in roles such as machine learning engineers, data scientists, software developers, or postgraduate researchers.