COURSE CURRICULUM

The Data Management module (15 credits) introduces you to modern database techniques, including non-relational (NoSQL) and cloud relational databases. You will explore the ethical and professional standards surrounding data management, preparing you to effectively harness the power of data. The module focuses on future-proofing your knowledge, allowing you to understand and implement cutting-edge data management concepts in a professional setting.Intelligent Data and Text Analytics (30 credits) equips you with specialized skills for extracting valuable insights from unstructured data sources. By applying advanced techniques such as semantic analysis and clustering algorithms, you will uncover hidden patterns across text, speech, and multimedia. This module prepares you to solve real-world challenges using data-driven insights, enhancing your ability to work with complex datasets in practical applications.Programming for Data Analytics and AI (15 credits) provides you with the tools to write programs and use existing software for data analytics and artificial intelligence. You will engage with industry-standard applications and programming languages, including Python, to address real-world data queries. By analyzing programming concepts and troubleshooting your own code, you'll enhance your technical ability to develop data applications for diverse challenges.The Big Data and Machine Learning Applications module (30 credits) allows you to apply big data and machine learning methods to tackle complex problems. You will work with scale-out architectures and platforms, using datasets from various fields such as cybersecurity, healthcare, robotics, or cosmology. This module gives you the expertise to advise on the practical use of AI and big data technologies, preparing you for roles in emerging industries.Data Visualisation and Exploratory Analytics (15 credits) teaches you how to communicate complex financial data through intuitive visual narratives. You will master visualization tools and forecasting techniques, creating clear and effective dashboards that support decision-making processes. This module sharpens your ability to present data insights in a visually appealing and easily understandable format, adhering to best practices in data analytics.The Masters Project (60 credits) serves as the culmination of your studies, where you independently investigate an ambitious real-world problem. Whether developing software or pursuing theoretical advancements, you'll apply robust research methods and data analysis techniques. By presenting your findings through polished written and oral reports, you will demonstrate your ability to lead projects that contribute to both industry and academic advancements, showcasing your expertise in analytical and technical areas.