COURSE CURRICULUM

The MSc Big Data and Data Science Technology program is designed to equip students with advanced knowledge and practical skills in data science, computing, and digital technologies, with most modules carrying 20 credits and the professional practices project worth 60 credits. Students begin with information governance and cyber security, learning how to manage and protect data while ensuring compliance with legal and organisational policies. Leadership in a digital age develops strategic and managerial skills, preparing students to lead teams and projects effectively within technology-driven environments. Applied data science provides practical experience in analysing complex datasets, applying statistical and computational techniques, and generating actionable insights for business decision-making. Contemporary computing and digital technologies explores current and emerging digital tools, platforms, and practices, ensuring students remain at the forefront of technological advancements. Big data analytics focuses on managing, processing, and interpreting large-scale, unstructured datasets to support evidence-based decision-making. Machine learning on cloud introduces cloud-based techniques for building, deploying, and scaling intelligent data models. The program culminates in the professional practices in computing and digital technologies project, allowing students to apply their learning to a substantial research or applied project, demonstrating problem-solving, critical thinking, and practical application of data science and computing knowledge. Overall, the MSc prepares graduates for careers as data scientists, analysts, or technology specialists in diverse industries, equipping them with the skills needed to thrive in a data-driven economy.