Study level

Vacation research experience scheme

Faculty/School

Faculty of Science

School of Mathematical Sciences

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Helen Thompson
Position
Associate Professor in Statistics
Division / Faculty
Faculty of Science
Dr Gentry White
Position
Associate Professor in Data Science and Government Statistics Chair
Division / Faculty
Faculty of Science

External supervisors

  • Bernadette Giuffrida, ABS

Overview

To reap the benefits of data science it's necessary to be able to pair real world data problems with data science methods.

In this project we'll begin to map out the key methods, their benefits and drawbacks, and suitability of each given some initial problem statements.

Research activities

You can expect to:

  • learn about a range of data science techniques
  • get exposure to the sorts of data problems faced by industry
  • communicate your work in an interactive manner
  • meet regularly with your supervisor(s) to discuss ideas and research direction, as well as to receive feedback.

Outcomes

A document describing the relationship between various data science problems and methodology to be implemented by the industry partner for internal use in developing future research proposals and projects.

Skills and experience

To be considered for this project, you'll need an interest in how data science techniques can be applied in the real world. Some practical experience with these techniques would be beneficial.

Keywords

Contact

Contact the supervisor for more information.