Master of Analytics (Research)
A research-focused master’s degree transforming data into actionable insights for global impact.
Best for:Best for graduates with a strong background in analytics, computing, statistics, or mathematics who are passionate about research and want to make a tangible impact through data-driven insights.
Overview
The Master of Analytics (Research) at the University of Technology Sydney (UTS) is a research-intensive programme designed for ambitious graduates seeking to advance their expertise in data-driven decision-making. This programme fosters interdisciplinary collaboration, leveraging UTS’s global networks and cutting-edge facilities to support impactful research. Students will work closely with leading academics to develop innovative solutions, whether shaping policy, launching startups, or contributing new knowledge to the field. The programme emphasizes practical application, ensuring graduates can directly influence organisations and society through data analytics.
What you'll do
- Conduct independent research under the guidance of a supervisor in a chosen analytics-related field.
- Develop and apply advanced analytical techniques to solve real-world problems.
- Collaborate with interdisciplinary teams to transform data into actionable insights.
- Present research findings at academic conferences or workshops.
- Utilize UTS’s global networks and facilities to support research and innovation.
- Contribute new knowledge to the field of analytics through original research.
Requirements
Degree required: A recognised bachelor’s degree (or equivalent) with a major in analytics, computing, applied statistics, or applied mathematics, or evidence demonstrating potential for graduate research studies.
Degree offered: Master of Analytics (Research)
Language: English proficiency (if applicable, though not explicitly stated in the source data)
Instruction: English
- Strong analytical and computational skills
- Background in analytics, computing, applied statistics, or applied mathematics
- Ability to conduct independent research
- Proficiency in data analysis tools and techniques
- Applicants must have completed a recognised bachelor’s degree or equivalent.
- Previous qualifications must include a major in analytics, computing, applied statistics, or applied mathematics.
- Applicants must secure approval from a potential supervisor for their proposed research work before formal application.
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
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: unknown
Applicants must first seek approval from a potential supervisor for their proposed research work. After securing supervisor approval, they should submit a formal application for admission through the UTS portal. Ensure all required documents, including academic transcripts and evidence of research potential, are included.
- CV or resume
- Academic transcripts (bachelor’s degree)
- Statement of research interest or proposal
- Approval letter from a potential supervisor
- Proof of English proficiency (if required)
Contact
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