The Master of Analytics (Research) is an advanced postgraduate research degree designed for professionals and graduates who wish to deepen their expertise in data analytics through original, supervised research. Unlike coursework-only master's degrees, this qualification requires students to undertake a significant research project or thesis that makes a genuine contribution to the field of analytics. The program sits at the intersection of data science, applied statistics, computing, and strategic decision-making, equipping graduates with both the technical rigour to interrogate complex datasets and the intellectual capacity to design, execute and communicate research findings at a professional level. Students typically work under the guidance of an academic supervisor and may collaborate with industry partners on real-world analytics challenges.

This degree is suited to graduates from computing, mathematics, statistics, information technology, engineering, or related disciplines who want to pursue advanced specialisation rather than a broad postgraduate coursework experience. It also appeals to working professionals seeking to elevate their analytical capabilities, transition into research roles, or build a foundation for doctoral (PhD) study. The research-focused nature of the degree means students develop deep domain expertise in areas such as predictive modelling, machine learning, big data analytics, business intelligence, or decision analytics, depending on available supervisors and institutional strengths.

Employers of Master of Analytics (Research) graduates span a wide range of sectors across Australia, including financial services, healthcare and life sciences, government and defence, retail and e-commerce, telecommunications, mining and resources, and technology consulting. Major employers include the big four banks, federal and state government agencies, global consulting firms such as Deloitte, Accenture and KPMG, as well as technology leaders like Telstra, IBM, and data-native companies across the Australian startup ecosystem.

Applicants for the Master of Analytics (Research) are typically required to hold a recognised bachelor's degree or equivalent qualification, ideally with a major in analytics, computing, applied statistics, applied mathematics, information technology, engineering, or a closely related quantitative discipline. Most Australian institutions require a minimum academic performance equivalent to a credit average (60–65%) or above in the undergraduate degree. Some institutions offer pathways for applicants from non-cognate backgrounds — such as those with degrees in business, economics, or social sciences — provided they can demonstrate substantial quantitative skills through prior study or professional experience. Applicants may also be asked to provide evidence of professional qualifications as an alternative or supplement to formal academic requirements.

A critical and distinctive requirement for research-focused master's degrees is the need to identify and secure the support of a potential academic supervisor prior to or at the time of application. Prospective students are expected to submit a research proposal outlining their intended area of inquiry, and admission may be contingent on the availability of a suitable supervisor whose expertise aligns with the proposed topic. This step is essential and should be initiated early in the application process.

English language proficiency is required for all applicants whose primary education was not conducted in English. Standard requirements across Australian universities typically include an overall IELTS score of 6.5 to 7.0, with no individual band below 6.0, or equivalent scores in TOEFL or PTE. International students should also be aware that many institutions will reassess prior qualifications after gaining conditional entry to confirm that minimum academic standards have been met. Work experience, while not always mandatory, is valued by many providers — especially where applicants are seeking credit for prior learning or entry via a non-traditional academic pathway, in which case a detailed CV and employer references are usually required.