Program Overview

Master of Business Analytics (Extension)

The Master of Business Analytics (Extension) is a unique transdisciplinary program of study in business analytics. This course is suitable for students from both business and IT backgrounds looking to upskill and develop the skills required to meet the growth in emerging careers in business analytics.

Course Description

This course is designed for professionals from business and IT sectors aiming to enhance their analytics expertise. The course structure is tailored to fit the student's background and experience, as well as flexible specialisations to meet new needs and career interests. Delivered in blended mode, students will experience online and face-to-face learning in leading-edge facilities.

Course Details

• Code: C04379 (version 3)
• CRICOS: (not specified)
• Duration: 2 years full-time, 4 years part-time
• Intake: Autumn Session 2025, Spring Session 2025, Autumn Session 2026, Spring Session 2026
• Course Fees: Indicative total tuition fee for domestic students: $71,892.00
• Location: City Campus, or specialist off-campus locations, with some courses delivered via online (distance) learning

What You'll Study

This course totals 96 credit points and consists of a combination of core and elective subjects. A unique feature of the Business Analytics program is the inclusion of studios, where students will apply the technical skills they've developed onto practical projects. Students will have the option of completing two specialisations across a wide choice of streams, including Business Services Analytics, Data Analytics, Financial Analytics, Marketing, Software Development, and Interaction Design.

Subjects at a Glance

Core Subjects

• 32606: Database
• 23708: Studio 1: Foundation
• 22804: Business Analytics Foundations
• 22805: Data Governance and Regulation
• 24754: Studio 2: Specialisation
• 43031: Python Programming for Data Processing
• 32146: Data Visualisation and Visual Analytics
• 24753: Customer Analytics
• 42048: Studio 3: Innovation
• 22789: Financial Analytics
• 32513: Advanced Data Analytics Algorithms

Admissions Information

Course Description

This course is designed for professionals from business and IT sectors aiming to enhance their analytics expertise. The course structure is tailored to fit the student's background and experience, as well as flexible specialisations to meet new needs and career interests.

Important Dates

Find out more about application dates relating to this course.

Scholarships and Prizes

Discover scholarships for undergraduate, postgraduate, and research students. Scholarships celebrate diversity and academic excellence.

Course Duration

The course may be completed in two years of full-time or four years of part-time study.

Admission Requirements

To be eligible for admission to this course, applicants must meet the following criteria:

• Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a related field of study with more than 75% of all subjects completed at pass level (conceded pass not included)
• Related fields of study include Accounting, Banking, Commerce, Computer Engineering, Computer Science, Data Science, Economics, Finance, Information Systems, Management, Marketing, Project Management, or other related fields of study (e.g., Engineering) with sufficient background in business, database, or computer programming
• English language requirements: IELTS Academic: overall 6.5, writing 6.0; TOEFL iBT: overall 79, writing 21; UTS College AE5: Pass; Pearson PTE: overall 58, writing 50; Cambridge C1A/C2P: overall 176, writing 169

Domestic Course Fees

• 2026 Indicative tuition fees for domestic students: $71,892.00
• Indicative first-year tuition fee: $35,155.00
• Additional costs include the Student Services and Amenities Fee (SSAF), textbooks, materials, and other course-related costs.

Inherent Requirements

Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS. The inherent requirements for this course can be found via the inherent requirements directory.

Recognition of Prior Learning

There is no recognition of prior learning available for this course.

Articulation with UTS Courses

This course is part of an articulated program comprising the Graduate Certificate in Business Analytics (C11280) and the Master of Business Analytics (Extension).

Entry Schemes and Pathways

Learn more about entry schemes and pathways, including the Jumbunna Admission Program for Aboriginal or Torres Strait Islander students.

Why Study Business at UTS

With a Business degree at UTS, students will learn innovative approaches to problem-solving, develop confidence with new technologies, and act towards a just and equitable world. UTS offers a range of undergraduate, postgraduate, research, and MBA courses tailored to students' ambitions.