COURSE CURRICULUM

The Postgraduate Diploma in Big Data Management and Analytics includes a range of specialised modules designed to provide students with strong theoretical knowledge and practical skills in handling large-scale data and advanced analytics. The program begins with Applied Data Science, which introduces students to the methods and tools used to analyse complex data and extract meaningful insights. Big Data Analytics focuses on techniques for processing and interpreting massive data sets to support decision-making in organisations. Research Methods equips students with the academic and analytical skills needed to conduct structured research and evaluate data-driven solutions. The Deep Learning and Generative AI module explores modern artificial intelligence technologies and how they can be applied to solve real-world problems using advanced neural network models. Parallel and Distributed Programming for Big Data teaches students how to manage and process large volumes of data efficiently across multiple computing systems. Cloud Platforms and Applications provides an understanding of cloud-based infrastructures and services used to store, manage, and analyse data at scale. Big Data Management focuses on organising, storing, and maintaining large data systems effectively. Finally, Data Mining and Machine Learning introduces algorithms and techniques used to identify patterns, predict outcomes, and build intelligent systems. Together, these modules prepare students for professional roles in big data analysis, artificial intelligence, and modern data-driven industries.