What will I learn?
The MEng Computing Science (Artificial Intelligence) is a five-year integrated Master's programme that combines our four-year BSc Computing Science with an additional year of postgraduate-level study. This extra year enhances your ability to solve real-world problems while deepening your expertise in the growing field of AI.This programme is structured to provide a seamless transition from undergraduate to postgraduate study within a single degree. The additional year of study helps you gain a competitive edge in your career.At the University of Aberdeen, Computing Science encompasses both the theoretical and practical aspects of the field, with a strong emphasis on developing technical analysis, design, and programming skills. You will explore subjects including software programming, databases and data management, computer systems, AI, and cybersecurity. These skills are applied to a variety of commercial, scientific, and socio-economic contexts.Our teaching methodology reflects the ongoing advancements in computing, which are continually reshaping how we live, learn, work, and socialise. From detecting and treating diseases to analysing business, scientific, or social data, and making online shopping more secure, our curriculum is designed to prepare you for the future.You will be taught by leading researchers whose work in multi-agent systems, natural language generation, machine learning, and blockchain technology informs the content of your lectures.Our strong industry connections further enhance your learning experience through guest lectures, seminars, and industry-sponsored prizes from notable organisations like Amazon, CGI, and ScotlandIS. Additionally, you can undertake a placement during your studies, providing an excellent opportunity to gain practical professional experience.The fifth year of this programme covers all aspects of AI, from fundamental theories to cutting-edge techniques, offering career opportunities in this rapidly evolving field including data and text mining, machine learning, reasoning, natural language generation, knowledge representation, and distributed AI systems. You will learn to engineer and evaluate AI systems and engage in discussions about the legal and ethical considerations of AI technology.
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