University of Technology Sydney

36102 iLab: Research Project

12cp; no class, self-study
Requisite(s): 36100 Data Science for Innovation AND 36103 Statistical Thinking for Data Science AND 36106 Machine Learning Algorithms and Applications
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.


This subject gives students an opportunity to conduct a self-guided research investigation relevant to data science to develop an understanding of research process and prepare a research paper having potential to be published in peer-reviewed conferences or journals. Students must have an academic supervisor and an agreed research topic approved by the subject coordinator at the beginning of the semester.

Students are required to read relevant papers and the literature, come up with a research problem and develop research questions, and then work with the supervisor to refine the questions, design research and data collection methods to answer the questions, conduct the research, analyse the data and write a report.

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.