Units / FIT3164
FIT3164 · Data science project 2
2026 Handbook6 credit pointsLevel 3Faculty of Information Technology
Last checked: 23 Aug 2026 UTCOverview
This unit provides practical experience in researching, designing, developing and testing a non-trivial data science project. Projects involve whole or part of the data science process (visualisation, analysis, algorithms, etc.) but can also be software-based, or they may involve investigation of theory. Projects if software-based should cover analysis through design to implementation and testing. Comprehensive written documentation on the project is required. Students are assigned in groups to a project supervisor. There are no lectures in this unit, although you will be expected to attend regular meetings with your project supervisor. The unit is the second part of a 12-credit point project sequence; the first part and entry point for the project is FIT3163.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Clayton | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Summer semester A | Teaching activities are on-campus (ON-CAMPUS) |
| Clayton | Second 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 | Individual Vlog Reflections | Artefact | 10% | — |
| 2 | Group Project Meeting Minutes & Videos | Written | 15% | — |
| 3 | Group Mid-Semester Project Pitch | Presentation | 25% | — |
| 4 | Individual Critique of Other Group Pitches | Demonstration | 5% | — |
| 5 | Individual Critique of Other Final Presentations | Demonstration | 5% | — |
| 6 | Software Demonstration and Final Presentation | Presentation | 30% | — |
| 7 | Final Written Report | Project | 10% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
- FIT3144 — Advanced computer science research project
prerequisite
- FIT3163 — Data science project 1
Learning outcomes
- Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project;
- Search, access, and analyse research literature as part of the process of developing solutions to problems;
- Work effectively in collaborative teams;
- Develop and test a substantial piece of software or perform a substantial analysis of data using software;
- Explain and reflect upon the purpose, operation, success and value of the developed project in writing and orally;
- Write a report explaining methodology, outlining their contributions and the contributions of others, and documenting the developed project from appropriate perspectives, for instance that of a user, researcher or developer.
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
| Activity | Duration |
|---|---|
| Studio activities | 36 hours |
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