COURSE CURRICULUM

The MSc in Big Data Technologies at Glasgow Caledonian University offers a well-rounded curriculum that equips students with the technical, analytical, and practical skills needed to thrive in the data science industry. The program begins with a focus on understanding the Big Data Landscape, where students explore the full lifecycle of data management across various systems, databases, and storage media. The Software Development for Data Science module strengthens programming skills essential for data capture, wrangling, processing, and visualisation, enabling students to work with both simulated and real-world datasets. A key component of the course is the Artificial Intelligence and Machine Learning module, which teaches the foundational concepts of AI and ML, including deep learning, while also addressing the ethical implications of these technologies. The Data Ethics and Research Methods module supports students in developing robust research practices and project frameworks. Cloud Computing and Web Services introduces leading technologies and frameworks in cloud platforms, scalability, and integrated application development, while the Internet of Things (IoT) module explores the convergence of sensor networks, security, analytics, and user interaction within IoT applications. The Big Data Platforms module delves into scalable systems that support real-time processing and retrospective analysis, giving students a deep understanding of the capabilities and limitations of different platforms. Finally, the Data Visualisation module focuses on creating impactful visual representations of data, teaching students how to design and implement interactive visual tools that turn complex data into accessible information for varied audiences. Throughout the program, students gain hands-on experience using industry-standard tools and platforms, preparing them for careers in a range of sectors where big data is used to drive innovation, efficiency, and social good.