Program Overview

Discover how tech companies gather and use data and explore both the databases that power our daily lives and the data languages underpinning them on this MSc. You’ll receive a thorough grounding in mathematics and statistics, data mining, artificial intelligence and the fundamentals of programming, then go on to complete an extended industrial placement in a real-world environment.

With organisations increasingly reliant on data science and artificial intelligence (AI), understanding how to analyse, validate and interpret data can significantly enhance your employability.

If you’re a graduate in a subject that’s not related to computer science, this MSc will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.

With the roots of data science embedded in mathematics, we’ll start year one by introducing you to linear algebra, differential calculus, probability theory and statistics. This will prepare you for working with data mining algorithms and experimenting using real-world data.

You’ll receive an overview of how to design and create software, including an intensive introduction to programming, and explore key topics in AI. We’ll also provide a thorough grounding in how to plan and conduct research.

Further opportunities to specialise and enhance your knowledge of big data, web programming, bio-inspired algorithms and modern information systems are available through a range of optional modules.

In year two, you’ll undertake an industrial project in a real-world environment as part of an extended placement opportunity.

What you'll learn

• How to design and create software using a modern programming language
• Essential mathematical concepts and techniques in linear algebra, differential calculus, probability theory and statistics
• Key topics in artificial intelligence, including machine learning, deep learning, natural language processing (NLP) and computer vision
• How to develop web applications
• The role of artificial intelligence in communication
• Data mining techniques and challenges using real-world datasets
• Application of visualisation methods to data mining
• Research skills in computer science
• Bio-inspired algorithms for optimisation and machine learning
• How big data is collected and used in modern society
• The role of structured query language, SQL, in information systems.