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University of New South Wales

Master of Analytics (Human Resource Analytics)

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Gain future-focused skills to enhance workplace culture and performance on an organisational, department or individual level.

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Download your course guide and connect with a university advisor to explore:

  • Course structure
  • Learning outcomes
  • Fees
  • Entry requirements

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Course overview

The Master of Analytics (Human Resource Analytics) will give you the skills to address demand for digital skills in HR and the ability to leverage employee insights to influence decision-making, enhancing business performance. From optimising onboarding processes, identifying retention trends, to improving employee experience, HR analytics can provide solutions to common human resource challenges.

The program is online and delivered in eight-week intensive blocks, so in as little as two years, and while still working, you can gain a comprehensive postgraduate qualification and prepare for a rewarding and dynamic career.

Key facts

Delivery
Online
Course Type
Master's
Duration
24 months (Part time)
Intake
September, 2025
October, 2025
Units
12
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To earn the Master of Analytics (Human Resource Analytics), you must complete eight core courses and four specialisation courses.

Core subjects

  • Principles of Programming
  • Introductory Data Analysis
  • Analytics and Business
  • Managing People, Analytics and Change
  • Database Management
  • Data Visualisation and Communication
  • Predictive Analytics
  • Data and Ethics

Human Resource Analytics specialisation

Students must complete all core courses and two elective courses.

Core courses

  • Human Resources Analytics
  • Human Resource Information Systems

Elective courses

  • Organisational Development
  • Leadership Development
  • Employee Wellbeing and Engagement
  • Sustainability and Human Resources
  • Diversity, Equity and Inclusion
  • Human Resource Policies and Practice
  • Managing Yourself and Others
  • Attracting, Evaluating and Retaining Talent
  • Managing Pay and Performance
  • Change Management
  • Career Navigator
  • Strategic Consulting Project

Entry requirements

Academic requirements

To be eligible for the Master of Analytics you must have one of the following:

  • A recognised bachelor's degree (or equivalent qualification) with a credit average of 65 per cent or higher as per the UNSW Admissions entry calculator.
  • Completed the Graduate Diploma in Analytics or Graduate Certificate in Human Resource Analytics with a minimum WAM of 65.

Entry via nested qualification

Articulation pathways exist from the Graduate Certificate in Human Resource Analytics, Graduate Certificate in Analytics or Graduate Diploma in Analytics programs if the student completes these programs with a minimum WAM of 65.

English language requirements

You may need to provide evidence of your English language proficiency to study at UNSW, depending on your educational background and citizenship. UNSW requires a minimum level of English language competency for enrolment. English language skills are essential for webinar comprehension and the completion of coursework, assignments and examinations.

If English is not your first language, you will need to provide proof of your English proficiency before you will be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:

  • English language tests and university English courses.
  • Prior study in the medium of English.
  • Other qualifications.
  • English waivers.

Recognition of Prior Learning

Your previous studies can be acknowledged as credit towards your online postgraduate studies provided that they meet relevant course requirements. If you are eligible for admission and you have undertaken previous studies at another institution, you may be eligible to apply for RPL.

Students can apply for RPL during the program application process and must ensure all relevant supporting documents are submitted for assessment if requested by Admissions, including course outlines from the same year you completed the relevant course/s as content may change over time. Courses successfully completed within the past ten years can be used for credit transfer within a program as provided within the program rules and the University rules on credit.

If you have completed similar courses in previous undergraduate study, Master of Analytics (Human Resource Analytics specialisation) students can claim up to four courses (24 units of credit) of unspecified RPL advanced standing, meaning that they can acquire the master's program by studying a further eight courses.

Contact the university for more information.

Outcomes

Career outcomes

  • Workplace systems and data officer
  • Human resource business partner
  • Human resource systems analyst
  • Human resource analytics manager
  • Human resource data analyst
  • Insights analytics senior analyst
  • People analytics manager
  • People experience (PX) systems and insights manager
  • Renumeration and analytics manager
  • Senior business analyst
  • Senior customer analyst
  • Senior human resource manager
  • Strategic people analytics consultant
  • Talent analytics manager

Fees and FEE-HELP

Indicative program fee in 2025: $61,500 (domestic full-fee paying place)

A student’s annual fee may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.