Human Resource Analytics

HRM30011 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students


  • One Semester or equivalent

Contact hours

  • 12 Hours face to face + Blended

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods


Higher Ed. Semester 2

31 Jul 23 - 29 Oct 23

5 Dec 23

Last self enrolment:
13 Aug 23

31 Aug 23

Last withdraw without fail:
15 Sep 23


175 Credit Points in Bachelor Degree or Double Bachelor Degree or Bachelor Honours 

Aims and objectives

The unit demonstrates the importance of data-driven decision making and evidence-based management in the context of justifying HR and workforce-related initiatives. Students will learn how to gather and evaluate evidence, and present a strong business case. The unit also aims to develop digital literacy skills in the use of software to perform analytics.

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

1. Design effective procedures and instruments for collecting valid HR-data and empirical evidence in the workplace
2. Identify and prepare different types of data as required to assist with HR-related problem-solving and decision-making
3. Analyse, interpret and communicate patterns in qualitative and quantitative HR-related data individually and collectively
4. Evaluate the extant literature and identify potential sources of cognitive bias in HR-related decisions