Units / ADS4010
ADS4010 · Frontiers of data science
2026 Handbook6 credit pointsLevel 4Faculty of Science
Last checked: 23 Aug 2026 UTCOverview
This unit will introduce you to current topical research in Data Science applications and methods. Through weekly expert seminars, it will provide broad coverage of the issues, concepts, methods and techniques associated with data science research. You will then develop your independent research and written communication skills through short critical reviews of topics discussed in seminars and a major essay based on one of these topics. Knowledge acquired from this unit will prepare you to conduct and communicate your own research.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Critical reviews of research topics (5) | Written | 50% | — |
| 2 | Major essay on a chosen research topic | Written | 50% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Understand and critically analyse a selection of research topics in data science;
- Summarise, evaluate and synthesise current trends and gaps in relevant literature;
- Undertake independent research on data science topics;
- Summarise and evaluate your research findings in written reports.
Workload
The weekly workload requirements will be: • One hour of attendance at weekly seminars and • Approximately 11 hours per week of independent study
| Activity | Duration |
|---|---|
| Seminars | 12 hours |
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