Start building today!
Experience the Find the courses and unlock the true potential
The Master of Learning Analytics (Research) is a postgraduate research degree that sits at the intersection of data science, education, and the learning sciences. It requires students to make an original and significant contribution to knowledge in the field of learning analytics — the measurement, collection, analysis, and reporting of data about learners and their contexts, with the goal of understanding and optimising learning and the environments in which it occurs. Unlike coursework-based analytics degrees, this research pathway is thesis-driven: students design a sustained, supervised research program that may culminate in a formal thesis or a practice-led research project such as a policy proposal or portfolio of work. Core intellectual territory spans educational data mining, predictive modelling of student outcomes, learning design, technology-enhanced learning environments, ethical data governance, and the application of artificial intelligence to educational settings.
This degree is designed for educators, data professionals, instructional designers, and education technology practitioners who want to deepen their expertise and contribute to the body of knowledge guiding how institutions use data to improve student success. Students may come from backgrounds in education, computer science, psychology, statistics, or information systems, and share an interest in applying quantitative and qualitative research methods to real learning challenges. The research program is typically tailored in collaboration with academic supervisors, allowing scholars to pursue topics ranging from early identification of at-risk students to the design of personalised adaptive learning systems.
Graduates are sought by a wide range of employers across Australia, including universities, TAFEs, K–12 school systems, ed-tech companies, government education departments, research institutes, and corporate learning and development teams. Key employers include state and federal education departments, the Australian Institute for Teaching and School Leadership (AITSL), the Australian Council for Educational Research (ACER), technology firms building learning management systems, and large organisations investing in workforce analytics and capability development. The degree also provides a direct pathway to doctoral (PhD) study for those wishing to pursue academic careers.
The demand for professionals who can interpret and act on educational data has never been stronger. Australia's education sector — spanning early childhood, schools, vocational education, higher education, and corporate learning — is undergoing a profound digital transformation, generating vast quantities of learner data that institutions are only beginning to leverage effectively. According to SEEK data, employment opportunities for data analysts in Australia are projected to grow by over 27% in the next five years, and the broader data analytics market is forecast to expand at a compound annual growth rate of 38% through to 2030. Learning analytics sits at the high-value frontier of this growth, where education expertise meets data science capability — a combination that remains scarce and highly sought after.
There is a significant skills gap in Australia between the volume of educational data being collected and the institutional capacity to use it meaningfully. Schools, universities, and online learning providers are investing heavily in learning management systems, adaptive platforms, and student success dashboards, yet most lack researchers and practitioners with the deep methodological grounding to translate raw data into evidence-based interventions. A research degree in this field equips graduates not just to analyse data, but to critically evaluate the ethics, design, and systemic implications of how learning analytics is deployed — making them invaluable to institutions that want to use data responsibly and effectively. Individuals with a postgraduate qualification also earn, on average, 18% more than those with an undergraduate degree alone, reflecting the rising premium placed on advanced analytical capability.
Applicants to a Master of Learning Analytics (Research) are typically required to hold a completed bachelor's degree or an equivalent or higher qualification recognised by the awarding institution. In practice, most programs expect applicants to have an undergraduate background in a relevant discipline such as education, computer science, information technology, mathematics, statistics, psychology, or a related field. Some institutions may accept applicants without a relevant undergraduate degree if they can demonstrate substantial professional experience and the potential to undertake graduate research studies — for example, through a published research record, industry projects, or a detailed research proposal. Eligibility for admission does not automatically guarantee an offer of a place; shortlisted applicants are typically assessed on the quality of their research proposal and the availability of a suitable supervisor in the applicant's chosen research area.
For international students or domestic applicants with international qualifications, English language proficiency requirements are generally set at a high level given the thesis-writing demands of the degree. Typical benchmarks include an Academic IELTS overall score of 7.0 with a writing score of 7.0, a TOEFL iBT overall score of 94 with a writing score of 27, a Pearson PTE overall score of 65, or a Cambridge C1 Advanced overall score of 185. These thresholds reflect the expectation that students will be reading, writing, and discussing complex academic content throughout their candidature.
A strong, well-articulated research proposal is a critical component of the application for most research master's programs. The proposal should identify a research problem within the field of learning analytics, situate it within the existing literature, outline a preliminary methodology, and demonstrate awareness of ethical considerations. Some institutions may also conduct a supervisory interview before making an offer. Domestic students accepted into a research master's may be eligible for Australian Government Research Training Program (RTP) fee-offset scholarships, which cover tuition costs for the standard duration of the degree, and living-stipend scholarships of up to $40,000 per year may also be available.
This course may be offered in different study modes depending on the university, campus location, course structure and student type. Students should check the available delivery mode before applying, as not every study option is available at every institution.
On-campus study is the traditional mode of delivery where students attend classes, lectures, tutorials, workshops or seminars at the university campus. This option may suit students who prefer face-to-face learning, access to campus facilities, networking with classmates, practical workshops, group projects and direct engagement with academic staff.
Some universities may offer programs fully online or with online subject options. Online study can be attractive for students who need flexibility due to work, family, location or other commitments. Online study may suit domestic students, working professionals or students who want to study from outside Australia.
Hybrid or blended study usually combines online learning with some on-campus classes, workshops, intensive sessions or practical components. This mode may suit students who want flexibility but still want some face-to-face interaction. The exact structure varies between institutions.
Programs in Australia may have different intake structures depending on the university. The most common intake systems are semester, trimester and block mode.
Many Australian universities follow a two-semester academic calendar. The main intakes are commonly Semester 1 (around February or March) and Semester 2 (around July). Semester-based study usually allows students to complete a set number of subjects over approximately 12 to 14 weeks.
Some universities use a trimester system, which generally provides three study periods a year — around February/March, June/July and October/November. Trimester study may provide more flexibility and may help some students complete their course faster.
Some institutions may offer selected subjects or programs in block mode, where students focus on one subject at a time over a shorter, more intensive teaching period. Block mode may suit students who prefer concentrated learning or working professionals managing study around employment.
Some online or professionally focused programs may offer more frequent start dates or flexible entry points throughout the year. Students should not assume that every course has monthly or multiple intakes — availability depends on the institution, course structure and student type.
Graduates of a Master of Learning Analytics (Research) are exceptionally well-positioned across Australia's education, technology, and government sectors. With deep expertise in both data science and educational theory, they are sought by universities and TAFEs to lead institutional research and student success initiatives, by ed-tech companies to design and evaluate analytics-driven products, by government education departments to develop evidence-based policy, and by large corporations to build data-informed learning and development strategies. The research credential also provides a strong launching pad for PhD candidature and academic careers, with growing demand for learning analytics researchers at Australian and international universities.
Entry Level
Graduate Researcher / Junior Analyst
Graduate Learning Analytics Officer, Junior Educational Data Analyst, Research Assistant (Learning Sciences), Graduate Institutional Research Analyst
Early Career
Analyst / Research Officer
Learning Analytics Analyst, Student Success Data Analyst, Educational Technology Research Officer, Curriculum Evaluation Analyst, Learning Data Coordinator
Mid-Level
Specialist / Senior Analyst
Senior Learning Analytics Specialist, Educational Data Scientist, Adaptive Learning Systems Specialist, Institutional Research Specialist, Learning & Development Analytics Adviser
Senior Level
Manager / Lead Researcher
Learning Analytics Manager, Head of Student Success Analytics, Senior Research Fellow (Learning Analytics), Education Data Science Lead, Analytics and Insights Manager
Leadership
Director / Principal / Professor
Director of Learning Analytics, Chief Education Data Officer, Associate Professor / Professor of Learning Sciences, Head of Educational Research and Innovation, Principal Research Scientist (Ed-Tech)
Salaries for learning analytics and educational data science professionals in Australia vary by experience, institution type, and sector, with research-trained candidates commanding a premium over those with coursework qualifications alone.
Melbourne
Melbourne is a major hub for education research and ed-tech innovation in Australia, home to numerous universities, TAFE networks, the Australian Council for Educational Research (ACER), and a thriving technology startup ecosystem — making it an ideal city to build research partnerships and transition into applied roles in learning analytics.
Sydney
Sydney hosts Australia's most established Master of Learning Analytics (Research) program and a dense concentration of universities, corporate headquarters, and government education agencies, providing research students with exceptional access to supervisors, institutional datasets, and post-graduation employment opportunities in both academia and industry.
Brisbane
Brisbane's rapidly growing education and technology sectors, combined with Queensland's significant investment in digital education infrastructure and the city's emerging reputation as a knowledge economy hub ahead of the 2032 Olympics, make it an increasingly attractive base for learning analytics research and practice.
Perth
Perth offers a smaller but tightly connected academic research community with growing investment in online and distance education — particularly relevant to learning analytics given Western Australia's large geographically dispersed student population — alongside emerging ed-tech industry opportunities linked to the mining and resources sector's workforce training needs.
Adelaide
Adelaide's collaborative research culture, lower cost of living, and active computer science education research groups — including nationally recognised work in learning analytics and learning technologies — make it a supportive environment for focused graduate research, particularly for students interested in K–12 and STEM education data.
Canberra
Canberra is uniquely positioned for learning analytics researchers interested in education policy, with direct proximity to federal government bodies including the Department of Education, the Australian Institute for Teaching and School Leadership (AITSL), and the Australian Bureau of Statistics, offering unparalleled access to national-scale education data and policy-focused career pathways.
Before choosing a course, students should compare:
International students who want to study in Australia should also consider additional requirements before applying.
Join successful graduates
Students Helped
Application Processed
Listed Universities
Listed Courses
