In partnership with the Australian Financial Review
University of New South Wales
Combine strategic HR knowledge with workforce analytics to interpret employee data, evaluate organisational performance and support evidence-based people and workforce decisions.
The Master of Human Resource Management (Human Resource Analytics) at UNSW is designed for professionals seeking to use workforce data and digital HR systems to support evidence-based people decisions.
Develop foundational knowledge of HR strategy, workplace policy, people management and employment law while building capabilities in data analysis, human resource analytics and HR information systems. The specialisation examines how data can be collected, interpreted and communicated to understand workforce patterns, organisational performance and employee outcomes.
The 12-course program combines foundational HR study with a specialisation in Human Resource Analytics. Elective options allow you to extend your capabilities across talent management, employee wellbeing, diversity and inclusion, leadership, organisational development, performance and change. You may also follow an approved study plan leading to a second specialisation.
Delivered fully online and part time, the program can be completed in two years. The Master of Human Resource Management is accredited by the Australian HR Institute (AHRI). Career directions may include HR analytics, people analytics, workforce planning, HR systems, employee insights, talent analytics and remuneration analytics.
To earn the Master of Human Resource Management (Human Resource Analytics), you must successfully complete units totalling 72 credit points, as detailed below. Unless otherwise noted, each course is worth 6 credit points.
Academic requirements
To be eligible for the Master of Human Resource Management (Human Resource Analytics), you must have a recognised bachelor’s degree (or equivalent qualification) with a credit average (65 per cent or higher) as determined by the UNSW entry calculator.
Entry via nested qualification
For those who do not qualify for direct entry into the master’s program, articulation pathways exist from the Graduate Certificate programs in Human Resource Management; Human Resource Analytics; Diversity, Equity & Inclusion; and Leadership & Organisational Development; if the student completes these programs with a minimum WAM of 65.
You can also complete up to two eligible graduate certificates which can be stacked towards your Master of Human Resource Management degree. Stacking two graduate certificates will allow you to graduate with the master's degree by completing a further four courses.
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:
If you have completed a degree with a major or specialisation in Human Resources within the past 10 years, you may be eligible for recognition of prior learning of up to four courses or 24 credit points. Eligible completed Graduate Certificates may provide up to eight courses or 48 credit points of specific credit, subject to the published WAM and recency requirements.
Contact the university for more details.
Career outcomes
Potential roles:
Indicative total fee in 2026: $62,500 (Full-fee paying place)
Indicative annual fees are based on your first year of study.
A student’s annual fee may vary by:
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 program.
