In partnership with the Australian Financial Review
University of New South Wales
Turn workforce data into meaningful insights that support evidence-based people decisions, strengthen organisational performance and help address complex workforce challenges.
Applying analytics to the way organisations understand and manage their people, UNSW's Master of Analytics (Human Resource Analytics) develops the technical and analytical capabilities to turn workforce data into evidence for better people and organisational decisions. The program connects broad analytics expertise with specialist understanding of workforce and human resource contexts.
Combining data analysis, predictive modelling, programming and visualisation with people analytics, you'll learn to identify workforce patterns, interpret complex information and communicate findings to different stakeholders. You'll also develop the judgement to apply data-driven insights to areas such as workforce planning, employee experience and retention, helping organisations make more informed people decisions and address complex workforce challenges.
Delivered 100% online, the program combines a common analytics core with specialist study in Human Resource Analytics and Human Resource Information Systems. A choice of HR-focused electives allows you to extend your expertise across areas such as employee engagement, diversity and inclusion, change, organisational development, leadership or workforce strategy.
I never thought I could study again after a long gap and with kids. But the excellent program design, resources, halo from peers and academic staff and flexible, easy to understand study materials has enabled me to finish my masters. I learned many new skills, like programming (Python, R, Tableau), without having a single idea about it before in a very easy and effective way. The discussion forum was an interesting way for remote students to be attached to peers and exchange ideas. The program has added great value to my skills and profile, and opened the door to many opportunities I can choose from.
Farah Tilat, Master of Analytics Graduate
To earn the Master of Analytics (Human Resource Analytics), you must successfully complete eight core units and four specialisation units.
Core units
*These courses have a prerequisite: Introductory Data Analysis.
Human Resource Analytics specialisation core units
Elective units
Select two of the following electives:
Academic requirements
To be eligible for the Master of Analytics you must have one of the following:
Entry via nested qualification
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:
Contact the university or visit its website for more information.
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.
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.
