University of Technology Sydney

36119 Advanced Topics in Data Science

There are course requisites for this subject. See access conditions.



This subject delves into the latest developments in academic research and industry practices across different subfields of data science. It aims to extend students’ knowledge and skills in applying data analytics techniques and developing ethical and responsible data solutions to complex problems that benefit stakeholders.

Throughout the learning process, students conduct specialised studies with guided reading and research to further enhance their abilities to translate business problems into research questions, conduct thorough investigations and evaluate the possible implications of their findings. By the end of the subject, students have a comprehensive understanding of latest trends in the chosen topics of the rapidly evolving field of data science.

The topics may vary from year to year depending on student interest and staff availability. The topics covered can be either theoretical or applied aspects of data science.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.