Master of Learning Analytics (Research)
A research-focused master’s programme in learning analytics at UTS, blending data science with educational theory.
Best for:Best for graduates with a background in education, computer science, data science, or related fields who are passionate about leveraging data to enhance learning environments and educational outcomes.
Overview
The Master of Learning Analytics (Research) at the University of Technology Sydney is a specialised master’s programme designed for students interested in applying data science techniques to educational contexts. This research-oriented degree focuses on understanding and improving learning processes through the analysis of educational data. Students will engage in advanced coursework while conducting independent research projects, contributing to the growing field of learning analytics. The programme is ideal for graduates with a background in education, computer science, data science, or related disciplines who seek to bridge the gap between technology and pedagogy.
What you'll do
- Conduct independent research projects focused on learning analytics and educational data science.
- Develop and apply advanced data analysis techniques to educational datasets.
- Collaborate with faculty and peers to explore innovative approaches to improving learning outcomes.
- Engage in advanced coursework that integrates theoretical knowledge with practical applications.
- Present research findings through academic papers, conference presentations, or other scholarly formats.
- Utilize cutting-edge tools and methodologies to analyze and interpret educational data.
Requirements
Degree required: Bachelor’s degree (or equivalent) in Education, Computer Science, Data Science, Psychology, or a related field.
Language: English proficiency; IELTS 6.5 (no band below 6.0) or equivalent.
Instruction: English
- Strong analytical and problem-solving skills
- Proficiency in statistical analysis and data visualization tools (e.g., R, Python, SPSS)
- Basic understanding of educational theories and practices
- Ability to conduct independent research and write academic papers
- Familiarity with data management and handling large datasets
- Open to domestic and international applicants
- No specific age restrictions
- No prior research experience required, but preferred for applicants
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: unknown
Applicants must submit an online application through the UTS portal. Required documents typically include academic transcripts, a personal statement, and proof of English proficiency. Some applicants may be required to provide a research proposal or portfolio.
- Academic transcripts and degree certificates
- Personal statement or research proposal
- Proof of English proficiency (e.g., IELTS or TOEFL scores)
- Curriculum Vitae (CV)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.