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Master of Analytics (Research)
UTS is at the forefront of analytics education in Australia with its focus on practice-based, interdisciplinary analytics and decision-making research. Big data in the internet age is very complex and growing exponentially, posing greater challenges for organisations.
In this course, students can focus on real-world business problems in their own organisations and develop solutions as part of their research. This course enables graduates to extend and deepen their knowledge in a specialised area of analytics by undertaking research under the supervision of a member of academic staff.
The core program is supplemented by short courses, seminars and projects. These courses provide academic rigour while using cutting-edge technologies.
The course offers flexibility in the choice of research topics so that the research is closely aligned with the student's professional requirements. Students can undertake research in analytics to solve the problems that directly impact their organisations: research with a purpose.
Advanced analytics techniques and solutions are increasingly being used by industry to drive productivity, transform business and increase competitiveness. The demand for skilled analytics professsionals with the ability to work in both traditional and emerging industries continues to grow. With high-level analytics skills graduates are able to make a significant contribution to their organisation. Students also benefit from being able to work with world-leading researchers in this area.
Course fees
For relevant fee information, please choose from the following:
Local student
International student
For this course, the cost per session for 2025 is $21815. The expected number of sessions are 4.
Careers
There is a skills shortage of professionals with work-ready skills in analytics. The demand for skilled professionals in analytics crosses a range of industries from banking, e-commerce, education, finance, government, health, insurance, marketing, taxation, telecommunications and transport. In a knowledge economy there is significant demand for graduates in this area.
Course structure
To view the course structure please visit the UTS Handbook.Additional information
Course duration
The maximum course duration is two years of full-time or four years of part-time study.
On campus - WeeklyAdmission requirements
Admission requirements
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.
Previous qualifications must have a major in analytics, computing, applied statistics or applied mathematics. Before submitting a formal application for admission, applicants should seek the approval of a potential supervisor for their proposed research work.
The English proficiency requirement for international students or local applicants with international qualifications is: IELTS Academic: 6.5 overall with a writing score of 6.0; or TOEFL iBT: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.
Eligibility for admission does not guarantee offer of a place.
International studentsVisa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.
Previous qualifications must have a major in analytics, computing, applied statistics or applied mathematics. Before submitting a formal application for admission, applicants should seek the approval of a potential supervisor for their proposed research work.
Eligibility for admission does not guarantee offer of a place.
Inherent requirements
Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS. You can find the inherent requirements for your course via the inherent requirements directory.
UTS: Handbook
See the Master of Analytics (Research) in the UTS: Handbook for comprehensive course details.
Information for international students
Find out about support services, the Australian education system, accommodation and more to help you get the most out of your study at UTS.
Domestic students
How to apply
This course is only available to domestic applicants. Apply via the UTS Student Portal.
