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Unit of study_
DATA5703: Data Science Capstone Project
The Data Science Capstone project provides an opportunity for students to carry out a defined piece of independent research or design. These skills include the capacity to define a research or design question, show how it relates to existing knowledge and carry out the research or design in a systematic manner. Students will be expected to choose a research/development project that demonstrates their prior learning in the data science domain (MDS). The results will be presented in a final project presentation and report. It is not expected that the project outcomes from this unit will represent a significant contribution to new knowledge. The unit aims to provide students with the opportunity to carry out a defined piece of independent investigative research or design work in a setting and manner that fosters the development of data science skills in research or design.
| Code | DATA5703 |
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| Academic unit | Computer Science |
| Credit points | 12 |
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Prerequisites:
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A candidate for the MDS who has completed 24 credit points from Core or Elective units of study may take this unit |
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Corequisites:
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None |
| Prohibitions:
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DATA5707 or DATA5708 or DATA5709 |
At the completion of this unit, you should be able to:
- LO1. utilise prior domain knowledge to define and develop a project relevant to a data science domain (MDS)
- LO2. initiate, formulate and plan a semester-long DS project, incorporating risk mitigation strategies and following the plan methodically
- LO3. analyse and synthesise information, draw appropriate conclusions and present those conclusions in context, with due consideration of methods and assumptions involved
- LO4. demonstrate knowledge of recent DS literature and possess an ability to apply investigative research to their own project
- LO5. document, report and present project work undertaken to engage an academic and/or professional audience
- LO6. develop, substantiate and articulate professional positions on issues relevant to the chosen area of practice, critically reflect on and evaluate the outcomes and process of the project
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 1, 2023 [Supervision] - Remote
- Semester 1, 2023 [Supervision] - Camperdown/Darlington, Sydney
- Semester 2, 2023 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2020 [Supervision] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Supervision] - Remote
- Semester 2, 2021 [Supervision] - Remote
- Semester 1, 2022 [Supervision] - Camperdown/Darlington, Sydney
- Semester 1, 2022 [Supervision] - Remote
- Semester 2, 2022 [Supervision] - Remote
- Semester 2, 2022 [Supervision] - Camperdown/Darlington, Sydney
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