This module strengthens data analysis and visualisation skills in a lab setting, using real-world data and industry tools. It builds on prior knowledge and applies it to other program modules and the capstone project, emphasising critical thinking, creativity, innovation, and skills mastery.

This module focuses on Big Data frameworks, Cloud technologies, and data analysis. Students learn core concepts, tools like Hadoop and Spark, data structuring, and analysis. It builds on previous knowledge, integrates into other modules and the capstone project, and covers attributes like Influence, Impact, Critical Creativity, and Innovation.

This module covers solution design, including problem identification, data collection, modelling, algorithm selection, and data visualisation. It emphasises ethics in data analytics, covering data privacy, bias mitigation, compliance, and responsible AI. Students gain technical skills and ethical awareness for success in the field.

This module enhances research skills, critical thinking, and creative problem-solving. It covers evaluating research papers, literature searching, choosing research methods, and setting research goals. It builds on prior learning and prepares you for the capstone project. It addresses attributes like Influence and Impact and Critical Creativity and Innovation.

This module focuses on research skills and advanced technical knowledge in a chosen subject. Students select a project theme, get it approved by a supervisor, conduct research, and submit a dissertation. It covers attributes like Influence and impact, Critical self-management, Critical creativity and innovation, Professional identity, and Skills mastery.