Curriculum Information

The Data Analytics module provides students across Computing, Engineering, and Science with the core knowledge and practical skills needed to collect, process, analyse, and interpret data effectively. In today’s data-driven world, the ability to understand and apply analytical methods is an essential professional and research skill, underpinning innovation, efficiency, and evidence-based decision making across industries. This module introduces key statistical concepts, data visualisation techniques, and computational tools, enabling students to work confidently with real-world datasets. Emphasis is placed on applying analytical approaches to practical problems, from optimising engineering systems and improving scientific experiments to evaluating technological performance and sustainability. Students will also develop critical thinking and data communication skills, learning how to present findings clearly to both technical and non-technical audiences. By integrating theoretical understanding with hands-on experience, the module strengthens students’ capacity to make informed, data-supported judgments. As an optional module, Data Analytics enhances flexibility and personalisation in the curriculum, allowing students to broaden their expertise, increase employability, and prepare for careers or research pathways where data literacy and analytical insight are key to success.