C03051v4 Master of Analytics (Research)

Overview

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.

Career options

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.

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: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 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 students

Visa 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.

Inherent (essential) requirements

Inherent (essential) requirements are academic and non-academic requirements that are essential to the successful completion of a course.

Prospective and current students should carefully read the Inherent (Essential) Requirements Statement below and consider whether they might experience challenges in successfully completing this course. This Statement should be read in conjunction with the UTS Student Rules.

Prospective or current student concerned about their ability to meet these requirements should discuss their concerns with the Academic Liaison Officer in their faculty or school and/or UTS Accessibility Service on 9514 1177 or at accessibility@uts.edu.au.

UTS will make reasonable adjustments to teaching and learning, assessment, professional experiences, course related work experience and other course activities to facilitate maximum participation by students with disabilities, carer responsibilities, and religious or cultural obligations in their courses.

For course specific information see the Faculty of Engineering & Information Technology Inherent (Essential) Requirements Statement.

Course duration and attendance

The maximum course duration is two years of full-time or four years of part-time study.

Course structure

Candidates are required to complete two subjects covering technology research preparation and technology research methods respectively (some candidates may be exempt from completing these subjects), and selected learning modules, seminars, projects and practice.

The degree is examined through presentation of a thesis.

All thesis students are required to submit, in consultation with their supervisor(s), a progress report at the end of each session. The UTS: Graduate Research School contacts each student and their supervisor(s) to initiate this process.

Course completion requirements

Other information

Further information is available from:

Graduate Research School

FEIT Research and Development Office
telephone +61 2 9514 2686
email feit.hdr@uts.edu.au