Course Title: Foundations of People Analytics
Part A: Course Overview
Course Title: Foundations of People Analytics
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
BUSM2639 |
City Campus |
Postgraduate |
630H Management |
Face-to-Face |
Sem 2 2022, Sem 1 2024 |
Course Coordinator: Dr Asanka Gunasekara
Course Coordinator Phone: +61 3 9925 4048
Course Coordinator Email: asanka.gunasekara@rmit.edu.au
Course Coordinator Location: 80.09.85
Course Coordinator Availability: via email
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
The use of predictive statistics and machine learning is transforming how we manage people in organisations. In this course you will analyse the context, opportunities, risks, and ethical challenges that this transformation presents. You will learn how different analytic strategies, qualitative and more frequently quantitative, can inform decision making in relation to various dimensions of people management, for example, recruitment, retention, performance, voice and equity. You will be able to explain the value of people analytics in delivering mutual gains for employees, organisations, and their stakeholders.
Objectives/Learning Outcomes/Capability Development
.
Upon successful completion of this course you will be able to:
CLO1: Evaluate the contribution that people analytics can make, using real-world examples, to improving experience, performance and outcomes for people and organisations.
CLO2: Explore and evaluate different sources of information about people, and the information systems in which they are kept.
CLO3: Examine the importance of good quality data and effective data governance to robust analytics.
CLO4: Evaluate how different analytical strategies can be used to inform decision-making about managing people in organisations.
CLO5: Recommend ethical and effective approaches to conducting people analytics.
Overview of Learning Activities
You will be encouraged to act as an active learner and engage in a variety of learning activities including, but not limited to reading; watching multi-media materials; discussing/debating ideas; analysing case studies; conducting research; problem solving; working in a team; giving presentations; and reflecting on your own learning.
This course is offered in blended learning modes. You may participate, face-to-face or via technology, in real time or asynchronously, in workshops, seminars, discussions and collaborative activities.
To develop and test your professional problem-solving capability you will be undertaking learning activities drawn from industry, professional or community contexts, and receive the benefit of learning from, and interaction with, people analytics professionals.
Overview of Learning Resources
Various learning resources are available online through MyRMIT Studies/Canvas. The lecture notes and workshop notes are posted on Canvas.
RMIT Library provides extensive resources, services and study spaces. You will have access to scholarly resources including course related material, books, e-books, journals and databases.
Computers and printers are available at every Library. You can access the Internet and Library e-resources. You can also access the RMIT University wireless network in the Library.
Contact: Ask the Library for assistance and information on Library resources and services: http://www.rmit.edu.au/library. Study support is available for assistance with assignment preparation, academic writing, information literacy, referencing, maths and study skills. Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.
Overview of Assessment
The assessment tasks, their weighting and the course learning outcomes to which they are aligned as follows:
Assessment Task 1: 30%
Linked CLOs 1,2,3
Assessment Task 2: 30%
Linked CLOs 1,3,4
Assessment Task 3: 40%
Linked CLOs 1,3,4,5