COURSE CURRICULUM

This program provides a comprehensive foundation in data science, combining statistical knowledge, technical skills, and business applications to prepare students for data-driven careers. It begins with core areas such as statistical foundations and data science fundamentals, enabling learners to understand how to collect, analyse, and interpret data effectively. Students explore both classical and advanced data analysis techniques, along with real-time data processing, to handle complex and dynamic datasets. The course also covers data visualisation, helping students communicate insights clearly and support decision making. A strong focus is placed on big data infrastructure, ensuring students understand how large-scale data systems operate, alongside important considerations in legal, ethical, and security aspects of data use. Innovation, creative technology, and entrepreneurship modules encourage the development of new ideas and business solutions, while data-driven business concepts highlight how organisations use analytics for strategic advantage. Agile methodologies are introduced to support efficient project management and teamwork in fast-paced environments. Artificial intelligence is also a key component, allowing students to explore advanced technologies and their applications. The program concludes with a project that integrates these skills, giving students practical experience in solving real-world data challenges and preparing them for professional roles in the field.