Faculty notice: this unit is changing
No longer offered
BCS - Data science and artificial intelligence, Data science
Replace with FIT3230 (S1 and S2)
From: Re-enrolment and unit changes - Information Technology (undergraduate) · Last checked: 7 Oct 2026 UTC
Official wording from the faculty, shown as published. It is the page of the Faculty of IT on monash.edu, so confirm with your faculty that it applies to your campus and intake year. Replacements are decided by the faculty, not by this site.
Units / FIT3163
FIT3163 · Data science project 1
2027 Handbook6 credit pointsLevel 3Faculty of Information Technology
Overview
This unit provides practical experience in researching, designing, developing and evaluating 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 sting. 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 first part of a 12-credit point project sequence; the second part and exit point for the project is FIT3164.
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) |
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 | Group Final Proposal Presentation | Presentation | 30% | — |
| 7 | Project Proposal Report | Project | 10% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibition
Learning outcomes
- Recognise and execute the factors essential for successful management of systems development projects, including teamwork and interpersonal communication;
- Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project, and practice these ethically and professionally;
- Search, access and analyse research literature as part of the process of developing solutions to problems;
- Operate effectively as a member of a development team;
- Communicate in written and oral form the proposed deliverables of a project and reflect upon their value and the likelihood of success;
- Develop, demonstrate and explain results of analysis, a software prototype or model.
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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