Applied Data Science

Postgraduate | 2026

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Area/Catalogue
INFO 5044
Course ID icon
Course ID
203976
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

An introduction to the role and application of data science in modern organisations and society. Case studies will be used to demonstrate current best practice as well as common pitfalls. Processes for data collection, analysis, verification and validation. The use of data for modelling, prediction and decision support. An overview of widely used tools for data analysis and modelling.

Course learning outcomes

  • Recommend methodologies for the use of data science in business/ in modern organisations and societies
  • Evaluate data science use to describe best practice in modern organisations and societies
  • Analyse issues associated with the use of data for solving complex problems
  • Evaluate the tools used in the data science community for reporting on data analysis
  • Critique data science solutions against recommended methodologies and best practice, identifying areas for improvement

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Assignment, Assignment, Exam

Degree list
The following degrees include this course
Graduate Certificate in Data Science (Applied)
Graduate Diploma in Data Science (Applied)