Data Science Principles

COS10022 12.5 Credit Points Hawthorn, Online, Sarawak Available to incoming Study Abroad and Exchange students


  • One Semester or equivalent

Contact hours

  • 48 hours face to face + Blended

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2023 teaching periods


Higher Ed. Semester 1

27 Feb 23 - 28 May 23

4 Jul 23

Last self enrolment:
12 Mar 23

31 Mar 23

Last withdraw without fail:
14 Apr 23

More teaching periods
Swinburne Online

Teaching Period 3

6 Nov 23 - 11 Feb 24

5 Mar 24

Last self enrolment:
19 Nov 23

1 Dec 23

Last withdraw without fail:
29 Dec 23

Aims and objectives

This unit aims at introducing students to the key concepts and techniques in data science and Big Data analytics. Students will be introduced to different stages in data analytics and given the opportunity to plan and design data science projects that address business and organisational needs.

Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:

1. Appreciate the roles of data science and Big Data analytics in organisational contexts.
2. Compare and analyse he key concepts, techniques and tools for discovering, analysing, visualising and presenting data.
3. Describe the processes within the Data Analytics Lifecycle.
4. Analyse organisational problems and formulate them into data science tasks.
5. Evaluate suitable techniques and tools for specific data science tasks.
6. Develop and execute an analytics plan for a given case study.