University of Technology Sydney

Master of Business Analytics

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 18 Months
  • Course Type: Master's

Develop expertise in business analytics, data visualisation, programming and analytical decision-making through cross-disciplinary study and project-based learning in specialised business analytics studios.

Course overview

Develop advanced analytical skills with the Master of Business Analytics at the University of Technology Sydney (UTS). Designed for graduates and professionals seeking to strengthen their expertise in business analytics, this postgraduate qualification combines business knowledge with information technology and data analysis. The course explores how organisations use data to understand complex problems, evaluate performance and make informed decisions across different business environments.

Explore business analytics foundations, database management, Python programming, data governance and advanced analytical algorithms. You'll also examine financial analytics, customer analytics and data visualisation, developing an understanding of how data can be interpreted and communicated to support business decisions. Through these interconnected areas, you'll strengthen your analytical and technical capabilities while considering the responsible use of information in contemporary organisations.

The 72-credit-point qualification comprises 11 compulsory subjects, including three studio subjects that bring analytical concepts into practical projects. Studio classes provide opportunities to apply technical knowledge to business challenges through intensive, project-based learning. Delivered at UTS's City campus, the course can be completed in one-and-a-half years of full-time study or three years part time. Graduates may pursue opportunities in business analytics, data analysis and related fields across different industries, depending on their previous qualifications and professional experience.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
18 Months (Full time)
Price Per Unit
From $4,675
More Information
The estimated per-unit fee is based on the indicative tuition fee per subject.
Campus
Ultimo
Intake
15th February, 2027
26th July, 2027
Units
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You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
12
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 requires completion of 72 credit points, comprising 11 compulsory subjects. Ten subjects are valued at six credit points each, while Studio 3: Innovation is valued at 12 credit points.

Core subjects

Complete all 11 compulsory 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)

Studio subjects

The course includes three studio subjects that develop your ability to apply analytical knowledge to business projects:

  • Studio 1: Foundation
  • Studio 2: Specialisation
  • Studio 3: Innovation

Electives

There are no electives in the published course structure. Students complete all compulsory subjects to satisfy the 72-credit-point requirement.

Entry requirements

To be eligible for admission to the Master of Business Analytics, applicants must meet the following requirement:

  • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, with more than 75% of all subjects completed at pass level (conceded passes not included).

Applicants who do not meet this requirement may consider the Graduate Certificate in Business Analytics, subject to its admission requirements.

Supporting documentation

Applicants may need to provide:

  • Academic transcripts and evidence of completed qualifications.
  • Evidence of overseas qualifications and English-language proficiency, where applicable.
  • Any additional documentation requested during the application assessment.

English language requirements

The English proficiency requirements for international students or domestic applicants with international qualifications are:

  • IELTS Academic: Overall score of 6.5, with a minimum writing score of 6.0.
  • TOEFL iBT (0–120 scale): Overall score of 79, with a minimum writing score of 21.
  • TOEFL iBT (1–6 scale): Overall score of 4, with a minimum writing score of 4.5.
  • UTS College Academic English Level 5 (AE5): Pass.
  • Pearson PTE Academic: Overall score of 58, with a minimum writing score of 50.
  • Cambridge C1 Advanced or C2 Proficiency: Overall score of 176, with a minimum writing score of 169.

Eligibility for admission does not guarantee an 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

  • Evaluate the assumptions implicit in data and apply analytical techniques to create innovative business solutions.
  • Communicate complex data-informed decisions clearly in written, verbal and visual form to a range of business stakeholders.
  • Collaborate with colleagues and a range of stakeholders to deliver negotiated business outcomes.
  • Critically evaluate 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 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

Domestic full-fee paying prices

  • Indicative tuition fee per 6-credit-point subject in 2027: $4,675
  • Indicative annual tuition fee (48 credit points) in 2027: $37,400
  • Indicative total course fee in 2027: $56,848

Eligible domestic students may access FEE-HELP to defer all or part of their tuition fees.

The Student Services and Amenities Fee (SSAF) may apply and is not included in the indicative tuition fees.

Tuition fees are subject to annual review and may change.

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 course.