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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

DATA3888: Data Science Capstone

In our ever-changing world, we are facing a new data-driven era where the capability to efficiently combine and analyse large data collections is essential for informed decision making in business and government, and for scientific research. Data science is an emerging interdisciplinary field with its focus on high performance computation and quantitative expression of the confidence in conclusions, and the clear communication of those conclusions in different discipline context. This unit is our capstone project that presents the opportunity to create a public data product that can illustrate the concepts and skills you have learnt in this discipline. In this unit, you will have an opportunity to explore deeper disciplinary knowledge; while also meeting and collaborating through project-based learning. The capstone project in this unit will allow you to identify and place the data-driven problem into an analytical framework, solve the problem through computational means, interpret the results and communicate your findings to a diverse audience. All such skills are highly valued by employers. This unit will foster the ability to work in an interdisciplinary team, to translate problem between two or more disciplines and this is essential for both professional and research pathways in the future.

Code DATA3888
Academic unit Mathematics and Statistics Academic Operations
Credit points 6
Prerequisites:
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DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012
Corequisites:
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None
Prohibitions:
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None

At the completion of this unit, you should be able to:

  • LO1. study the interdisciplinary data-driven problem and formulate it into an analytical framework
  • LO2. apply disciplinary knowledge to solve problems in an interdisciplinary context
  • LO3. create an investigation strategy, explore solutions, discuss approaches and predict outcomes
  • LO4. analyse data using modern information technology and digital skills
  • LO5. demonstrate integrity, confidence, personal resilience and the capacity to manage challenges, both individually and in teams
  • LO6. collaborate with diverse groups and across cultural boundaries to develop solution(s) to the project problems
  • LO7. communicate project outcomes effectively to an interdisciplinary audience.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.