Applied machine learning

Credits: 6 (equivalent to 12 CATS credits)

Learn about a range of important machine learning algorithms, their implementation and applications. By the end of the unit, you'll be able to critically analyse and implement machine learning algorithms in Python, apply machine learning algorithms to real-world data, evaluate their performance, and write technical reports to summarise your findings.

Programming for data science

Credits: 12 (equivalent to 24 CATS credits)

Develop your skills in numerical programming for data science and machine learning applications. After completing this unit you will be able to implement and critically evaluate low-level data science functionality from scratch, and complex methodologies using relevant libraries. You will gain experience in methods and structures to help you handle, process and analyse large datasets, and have an understanding of sustainable software development.

Data science and statistics for health

Credits: 12 (equivalent to 24 CATS credits)

Learn the concepts and methods of data science and statistics relevant to applications in the health sector, such as data sources, data management, statistical analysis, interpretation and reporting. After completing the unit, you will have extensive experience in the processes involved in initial data handling, preparation and assessment, as well as an understanding of how to handle, manage and analyse health data in the context of legal, ethical and professional considerations. This unit runs across both semester 1 and semester 2.