Why study this course?

This program, designed by mathematics and applied computing experts, focuses on data science and analytics. It offers specialised modules in areas like data engineering, analytics, visualisation, statistical modelling, and machine learning. Students are encouraged to apply mathematics and statistics, solve domain-specific problems, and create scalable data products using cutting-edge tools such as Spark, Kafka, Hadoop, Python, Tableau, and more.

The course combines lectures, tutorials, and workshops with self-guided learning and support from teaching staff. Blended learning resources, including the university’s virtual learning environment and online databases, enhance engagement and provide timely feedback. With practical skills often gained through collaborations with external organisations, this course prepares

Year  modules

• Data Analysis
• Financial Mathematics
• Fundamentals of Computing
• Introduction to Information Systems
• Logic and Mathematical Techniques
• Programming prepares students for impactful careers in data science and analytics.
• Data Analytics
• Data Engineering
• Databases
• Professional and Ethical Issues
• Programming with Data
• Smart Data Discovery
• Statistical Methods and Modelling Markets.