Useful links
Data science is a new, rapidly expanding field. There is an unprecedented demand from technology companies, financial services, government and not-for-profits for graduates who can effectively analyse data. This subject will help students gain a critical understanding of the strengths and weaknesses of quantitative research, and acquire practical skills using different methods and tools to answer relevant social science questions. This subject will offer a nuanced combination of real-world applications to data science methodology, bringing an awareness of how to solve actual social problems to the Master of Data Science. We cover topics including elections, criminology, economics and the media. You will clean, process, model and make meaningful visualisations using data from these fields, and test hypotheses to draw inferences about the social world. Techniques covered range from descriptive statistics and linear and logistic regression, the analysis of data from randomised experiments, model selection for prediction and classification tasks, to the analysis of unstructured text as data, multilevel and geospatial modelling, all using the open source program R. In doing this, not only will we build on the skills you have already mastered through this degree, but explore different ways to use them once you graduate.
Study level | Undergraduate |
---|---|
Academic unit | Computer Science |
Credit points | 6 |
Prerequisites:
?
|
DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 |
---|---|
Corequisites:
?
|
None |
Prohibitions:
?
|
DATA5207 |
Assumed knowledge:
?
|
A major in a computer science area |
At the completion of this unit, you should be able to:
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
---|---|---|---|
Semester 1 2024
|
Normal day | Camperdown/Darlington, Sydney |
View
|
Intensive December 2024
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Session | MoA ? | Location | Outline ? |
---|---|---|---|
Semester 1 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Intensive December 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Find your current year census dates
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
If you see the ‘Departmental Permission’ tag below a session, it means you need faculty or school approval to enrol. This may be because it’s an advanced unit, clinical placement, offshore unit, internship or there are limited places available.
You will be prompted to apply for departmental permission when you select this unit in Sydney Student.
Read our information on departmental permission.
The Intensive December offering of this unit requires departmental permission to ensure appropriate foundational knowledge is met, given the steep learning curve. Students must have achieved a WAM of at least 65% to be considered.