Master of Business Analytics

Program Overview

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Master of Business Analytics

The Master of Business Analytics equips students with the analytical skills needed to extract meaning from complex data sets, the ability to converse with other technical experts (such as computer scientists), and the capacity to make meaning of the output. This business expertise is highly sought after in the global workplace.

About the course

Today’s businesses have an increasing need to make sense of the large quantities of structured and unstructured data that are generated. Understanding how to integrate large and complex data sets, and transform data into meaningful insights and actions, is vital for business success. Business leaders equipped with the analytical skills needed to extract meaning from complex data sets, and translate this meaning into actionable insights, are highly sought after in the global workplace.

Quick details

• Status: Available
• Locations: Perth (Crawley campus)
• Attendance: Full-time, Part-time
• Delivery: On-campus
• Starting dates: Semester 1, Semester 2
• Level of study: Postgraduate
• Course Code: 42630
• CRICOS code:
• Full time/part time duration: 1.5 - 2 Years

Accreditation

The UWA Business School is accredited by EQUIS and the Association to Advance Collegiate Schools of Business (AACSB), and is a Communicating Signatory to Principles for Responsible Management Education (PRME).

Course structure

Postgraduate coursework degrees and combined (coursework and research) degrees comprise a number of units. Refer to the course structure for more information.

• Conversion:
  • Students who have completed prior tertiary study in data science are not required to complete BUSN5101 Programming for Business and should contact their Student Advising Office for advice.
  • Students without requisite cognate studies may be required to take units to the value of 24 points as advised by the Faculty.
• Core:
  • Take all units from this group (30 points):
    • BUSN5002 Fundamentals of Business Analytics (6)
    • BUSN5003 Data Storytelling (6)
    • BUSN5101 Programming for Business (6)
    • INMT5526 Business Intelligence (6)
    • MGMT5504 Data Analysis and Decision Making (6)
• Option - A Capstone Experience:
  • Take min 6 points up to 18 points from the followings:
    • BUSN5007 Business Analytics Industry Project (12)
    • INMT5507 Information Management and Logistics Capstone Projects (6)
    • SVLG5001 McCusker Centre for Citizenship Internship (6)
    • WILG5001 Work Integrated Learning Internship Program (6)
• Option - Group B:
  • Take min 24 points from the following:
    • BUSN5001 Blockchain and Distributed Ledger Technologies in Business (6)
    • CITS4407 Open Source Tools and Scripting (6)
    • CITS5503 Cloud Computing (6)
    • CITS5504 Data Warehousing (6)
    • CITS5508 Machine Learning (6)
    • ECON5570 Health Analytics (6)
    • HRMT5502 People Analytics (6)
    • INMT5518 Supply Chain Analytics (6)
    • INMT5527 Process Mining and Analytics (6)
    • MGMT5660 Applied Project Management (6)
    • MKTG5504 Big Data in Marketing (6)
• Option - Group C:
  • Take max of 24 from the following:
    • ACCT5432 Introductory Financial Accounting (6)
    • BUSN5100 Applied Professional Business Communications (6)
    • ECON4413 Applied Advanced Econometrics (6)
    • ECON5514 Economic Research and Evaluation Methods (6)
    • ECON5520 Text-to-Data Applications and Novel Data Sources (6)
    • ECON5541 Economics for Business: Applications and Policy (6)
    • ECON5580 Running Randomised Experiments (6)
    • INMT5501 Enterprise Information Systems (6)
    • MGMT5507 Management and Organisations (6)
    • MKTG5502 Social Media Marketing (6)
    • SCIE4481 Good, Bogus and Corrupted Science (6)

Admission requirements

(1) To be considered for admission to this course an applicant must have—

• (a) a Bachelor's degree, or an equivalent qualification incorporating at least one unit of statistics or having a substantive quantitative component , as recognised by UWA; and either:
• (b) the equivalent of a UWA weighted average mark of at least 50 per cent; or
• (c) at least two years professional experience in a relevant occupation; or
• (2) completed a Graduate Certificate in Business Analytics at UWA.

Admission requirements update for 2026 intake

For 2026 intake, to be considered for admission to this course an applicant must have the equivalent of a UWA Weighted Average Mark (WAM) of at least 60 per cent; and any additional requirements as summarised in the Admission Requirements above.

English competency

English is the language of instruction and assessment at UWA and you will need to meet the English language requirements of the University to be eligible for a place.

Minimum overall IELTS score of 6.5, with no band less than 6.0.

Fees and scholarships

Domestic Student Fees

Annual course fee

2025

Full-Fee Paying Place $34,100.00

For Full-Fee Paying places, students are charged an annual course fee, charged per credit point at a rate dependent on the course in which the student is enrolled. Annual course fees are calculated based on a standard annual study load of 48 credit points (1.0 EFTSL).

Check the handbook to confirm the annual study load for your course.

Visit the Fee Calculator and select your course type to find out more. Fees are subject to annual indexation.

International Student Fees

Annual course fee

2025

$49,000.00

Onshore international students are charged an annual course fee, charged per credit point at a rate dependent on the course in which the student is enrolled. Annual course fees are calculated based on an annual study load.

Find out more about international student tuition fees and visit the fee calculator for the relevant course fees.

Fees are subject to annual indexation.

Scholarships

Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

Cost of living

There are a few things to consider before applying to study at university. One could be your cost of living. This can depend on factors such as lifestyle, accommodation, tuition fees, medical insurance, textbooks and more. For an indication of expenses and average costs, see our Cost of living page.

Careers and further study

Explore the career opportunities available to you.

Career Pathways

Graduates may be employed in a range of industry globally. Outcomes include:

• Data analyst
• Business analyst
• Market economist/analyst
• Financial analyst
• Human resource analyst
• Business intelligence analyst
• Insights analyst
• Data consultant
• Senior business analyst

Further Study

After three years' relevant work experience, students may choose to pursue a Master of Business Administration (MBA).

Graduate outcomes

Students of the Master of Business Analytics will graduate with a range of skills, including:

• The ability to understand the theoretical background of data analytics and data processing of unstructured data
• Specialised technical skills to understand, apply and interpret the various approaches to data analysis, be able to adapt strategies to a specific situation and understand the limitations of data
• Be able to understand the ethical issues related to protecting the rights of individuals and the integrity of data collected and analysed
• Communication skills to transfer knowledge clearly, effectively and appropriately in relation to data analytics issues
• The ability to identify and implement the use of data analytics tools and techniques in a variety of business disciplines

Centre for Business Data Analytics

This Centre for Business Data Analytics focuses on the analysis of fast-moving commercial data through new tools and technologies that inform business of changing trends quickly, particularly through the application of machine learning and artificial intelligence. We provide a dual focus on academic impact and practice relevance in the realms of Business Analytics applications in research and practice.

Who should do this course?

• Senior management or professionals who wish to upskill in a growing area allowing you to make stronger and more informed business decisions.
• Recent Master of Business Administration (MBA) graduates seeking more intensive study in business analytics.
• Recent Business or Commerce graduates who have specialised in management or accounting and who desire additional capabilities in information and logistics management.
• Recent Engineering or Science graduates who have specialised in computer science or data science wanting to apply their knowledge to a business and management context.