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University of Technology Sydney

Master of Business Analytics (Extension)

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Suitable for students from both business and IT backgrounds who seek to upskill and develop the skills required to meet the growth in emerging careers in business analytics.

Course overview

The Master of Business Analytics (Extension) is a unique transdisciplinary program of study in business analytics. With subjects drawn from UTS Business School, the Faculty of Engineering and Information Technology and the TD School, students are provided with a course structure which fits their background and experience, as well as flexible specialisations to meet new needs and career interests.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $4,394
More Information
The estimated per-unit fee is calculated using the annual average first-year fee. It is based on a full-time study load of 48 credit points (normally eight subjects) per year.
Campus
Ultimo
Intake
27th July, 2026
Units
16
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

The course totals 96 credit points and consists of a combination of core (72 credit points) and elective subjects (24 credit points). Each subject is valued at six credit points, unless otherwise stated.

Core subjects

Complete all of the following subjects:

  • Business Analytics Foundations
  • Data Governance and Regulation
  • Database
  • Financial Analytics
  • Customer Analytics
  • Data Visualisation and Visual Analytics
  • Python Programming for Data Processing
  • Advanced Data Analytics Algorithms
  • Studio 1: Foundation
  • Studio 2: Specialisation
  • Studio 3: Innovation (12 credit points)
Electives

Entry requirements

Applicants must have the following:

  • 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:

Accounting, banking, commerce, computer engineering, computer science, data science, economics, finance, information systems, management, marketing, project management or other related field of study (e.g. engineering) with sufficient background in business, databases or computer programming.

Applicants who do not meet the criteria above should consider applying for the Graduate Certificate in Business Analytics.

English language requirements

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.
  • TOEFL iBT: 79-93 overall with a writing score of 21.
  • AE5: Pass.
  • PTE: 58-64 with a writing score of 50.
  • C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

Recognition of Prior Learning

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

Outcomes

Career outcomes

Career options are incredibly varied as virtually every company in every industry now collects huge amounts of data that needs to be interpreted and analysed to inform decision-making. Graduates from this program are able to provide valuable insights on matters such as fraud detection, logistics optimisation, customer acquisition and retention and demand forecasting.

Learning outcomes

  • Appraise the assumptions implicit in data and apply analytical techniques to create innovative business solutions in a range of contexts.
  • Communicate complex data-informed decisions clearly in written, verbal and visual form to a broad range of business stakeholders.
  • Collaborate with colleagues and a broad range of stakeholders to deliver negotiated outcomes.
  • Critically evaluate various data practices and use these insights to improve analytical processes which drive positive and equitable outcomes.
  • Integrate advanced data analysis techniques with business practices to deliver new insights that drive effective decision-making in a range of local and international contexts.
  • Critically reflect on the rights to consent, privacy, data sovereignty and self-determination to work ethically with and for Indigenous Australians as business analytics professionals.

Fees and FEE-HELP

Indicative first-year tuition fee in 2026: $35,155 (domestic full-fee paying place)

Indicative total tuition fee in 2026: $71,892 (domestic full-fee paying place)

Student fees may vary in accordance with:

  • The number of subjects studied per term.
  • The choice of major or specialisation.
  • Choice of courses.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

You may also need to pay the student services and amenities fee.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university program.