Overview

At the University of Reading, students build the knowledge and technical ability to design and apply intelligent systems that address real-world challenges across multiple industries. The course emphasises understanding the underlying principles of AI rather than simply learning to use existing tools.

What You'll Learn

• Core foundations of artificial intelligence, including machine learning, deep learning, and natural language processing

• Cognitive and agentic systems, reasoning, and decision-making algorithms

• Ethical, responsible, and trustworthy approaches to AI development

• Computer vision and intelligent data analytics

• Software engineering, systems development, and database systems

• Computer networking, blockchain computing, and security

• Programming and computational problem-solving using languages such as Python and Java

Learning Outcomes

By the end of the course, students will be able to design, build, and evaluate AI-driven systems grounded in a solid understanding of computer science principles. They will be equipped to apply machine learning and data analysis techniques to solve practical, real-world problems across different sectors. Students will also develop the ability to think critically about the ethical and social implications of AI technologies, while strengthening core professional skills such as teamwork, communication, and analytical problem-solving. Overall, students will graduate ready to progress confidently into further study or a career in computing and artificial intelligence.