This MSc program focuses on mastering the theories, algorithms, and techniques needed to analyze large and complex unstructured data sets. Over the course of one year full-time or 2-3 years part-time, students will explore vital aspects of data science, such as visualisation, modelling, artificial intelligence, and machine learning. The course prepares students to uncover hidden patterns, correlations, and trends in data from various sources, including social media, IoT sensors, and online reviews. It emphasizes practical skills, ethical considerations, and the latest in computing and data analysis, equipping students to solve real-world data problems creatively.
Why this course is highly recommended
This course is ideal for recent STEM graduates or IT industry professionals looking to deepen their expertise in data science and AI. Its practical focus, interaction with industry professionals, and state-of-the-art facilities make it highly valuable for those seeking careers in rapidly evolving fields such as big data analytics, machine learning, and artificial intelligence. Its alignment with professional standards (like BCS accreditation) and focus on employability ensure students are well-prepared for industry roles or further research.
The program covers a range of specialisations including artificial intelligence methods, data mining, data visualisation, emerging technologies, machine learning, and practical data analysis. It also develops expertise in database design, programming, research methods, and project execution, providing a comprehensive focus on data science and AI integration.
Application fees
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1st year tuition fees
17.95L
Living cost
Applicants need a degree equivalent to a UK first or second-class honours (2:2 or above) in a STEM discipline such as computer science, engineering, mathematics, or related fields. Alternative pathways like professional experience or completing the BCS Professional Diploma in IT (Level 6) are also considered.

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Graduates can pursue roles like data scientist, data analyst, big data developer, or data engineer. Opportunities span industries including banking, healthcare, telecommunications, online sales, energy, automotive, and transport. There's also potential to start a business or continue to PhD level, with the course laying a foundation for chartered status.