Master of Business Data Analytics

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This course has no domestic offering.
This course has no international offering.

The Master of Business Data Analytics program is designed to equip you with the knowledge and skills needed to thrive in the fast-evolving field of data analytics. Through this course, you’ll gain the ability to analyse complex data, extract valuable insights, and apply them to drive strategic decision-making within a business environment.

Delivered full-time on-campus at Charles Sturt University in Sydney and Melbourne, in collaboration with Navitas, the program blends theoretical knowledge with practical experience. You’ll dive deep into areas like data mining, big data analytics, business intelligence and project management, while also developing essential skills in data storytelling, sustainability management and global business strategies.

A key feature of this program is the opportunity for work-integrated learning through industry placement, where you can apply your learning in real-world professional settings. You’ll also explore Indigenous Australian cultures and gain an understanding of diversity and inclusion in the workplace.

By the end of the course, you will be able to:

  • apply data analytics concepts to a variety of business scenarios
  • analyse raw data to extract meaningful insights that inform strategic decisions
  • recommend and implement innovative, data-driven solutions for business challenges
  • communicate your findings effectively to diverse audiences in a professional manner.

This program is ideal for you if you want to enhance your career prospects and become a leader in business data analytics. Take the next step in your professional journey and join this dynamic, industry-focused program!

This course is part of an articulated program of study. Articulated programs allow you to build on your study to achieve the right level of qualification for you.

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Key information

Study mode and sessions

On Campus
Next session start: November 17, 2025
Session 2 : July 14, 2025
On Campus
Sydney, Melbourne
Session 3 : November 17, 2025
On Campus
Sydney, Melbourne

Duration

Minimum time - 2 year(s)
Maximum time - 2 year(s)

Entry score

TBA

Indicative fees

International on campus
Fee paying overseas:

Full-time - $31,552.00 pa
Part-time - $15,776.00 pa

Course points and codes

Credit Points: 128
AQF: Level 9
Cricos: 117252H

Additional information

    Applications close February 12

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    Find out more

    Why study with us?

    This program is perfect for you if you're looking to advance your career and become a leader in business data analytics. Take the next step in your professional growth and enrol in this dynamic, industry-driven course!

    5-star uni for business postgraduate salaries.

    Our grads earn a median salary of $96,000.

    *Good Universities Guide 2022/23

    Career opportunities

    The Master of Business Data Analytics opens up a wide range of career opportunities in various industries, where data-driven decision-making is becoming increasingly crucial, including:

    • business data analyst
    • data scientist
    • Business intelligence (BI) analyst
    • data engineer
    • Marketing data analyst
    • Operations research analyst
    • Chief data officer (CDO)

    What you will study

    For each 8-point subject you are enrolled in, you should expect to spend 10 to 12 hours per week working on assignments and assigned readings, tutorial assistance, individual or group research/study, forum activity, workplace learning, and attending lectures, intensive schools, or examinations. If you are studying four subjects per session, this is equivalent to a full-time job. The workload for some subjects may vary as a result of approved course design.

    Intensive school

    You may need to attend an online or on-campus intensive school for certain subjects in this course. These schools usually involve lectures, tutorials and practicals that will give you a deeper understanding of your subject.

    Core subjects128 Credit Points

    Legend:
    • Intensive school
    • Workplace learning
    HRM552Organisational Behaviour8 credit pts
    IKC502Critical Studies: Indigenous Australian Cultures, Histories and Contemporary Realities8 credit pts
    ITC505ICT Project Management8 credit pts
    ITC516Data Mining and Visualisation for Business Intelligence8 credit pts
    ITC573Data and Knowledge Engineering8 credit pts
    ITC575Foundations of Big Data Analytics8 credit pts
    MGM513Business Data Analytics and Storytelling8 credit pts
    MGT501Contemporary Management8 credit pts
    MGT510Strategy and Planning8 credit pts
    MGT553Project Management8 credit pts
    MGT583Managing for Sustainability8 credit pts
    MKT563Big Data and Marketing Analytics8 credit pts
    BUS505 Australian Business and its Role in the Global Economy 8 credit pts
    BUS506Contemporary Employability Skills and Reflective Practice8 credit pts
    BUS507Industry Placement16 credit pts

    Due to the flexibility of the course requirements, there is no prescribed enrolment pattern. Students may choose the order in which they undertake subjects. Students should plan their enrolment based on the session in which each subject is offered, bearing in mind that some subjects may list assumed knowledge.

    All Master students complete the capstone subject MGT510 Strategy and Planning in the final session of study.

    International on-campus students are required to study 32 points of study in each compulsory study session.

    Graduation requirements

    As a Charles Sturt University student, throughout your course you have a responsibility to continue to develop skills in English language, literacy and numeracy as appropriate to your discipline. This ongoing development will enable you to effectively participate in your course and graduate prepared to enter the workforce.

    Costs

    Calculate my fee

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    How is this calculated?

    This is an estimate

    • Fees calculated based on 1 year of full-time study (ETSL).
    • Fees dependant on chosen subjects.
    • Subject to annual increase each year.

    Our support for international students goes beyond the classroom

    Studying in a new country is a big step and we know a little bit of financial support can go a long way. Each scholarship is different – and they aren't all about academic performance. Explore scholarships

    Entry requirements

    Selection rank:

    TBA

    Learn about how our selection ranks are calculated (including ATARs and adjustment factors).

    View the course profile for this course.

    Applicants are required to have an AQF equivalent bachelor degree from a recognised Australian tertiary institution (or equivalent).   

    Applicants without an equivalent tertiary qualification may be admitted to the Graduate Diploma of Business Data Analytics pathway.

    For admission to the Graduate Diploma applicants are required to have a minimum of a 3 year tertiary qualification equivalent to an Associate degree. Upon successful completion of the Graduate Diploma, students will then be eligible for admission to the Master of Business Data Analytics and will be eligible to receive credit for up to eight (8) applicable subjects.

    Standard English Language Proficiency (ELP) requirements apply.  Click here to view the specific international course entry requirements.

    Credit and pathways

    If you’ve completed relevant tertiary study, or work experience related to your course, you could receive credit towards your degree. Which would mean completing your qualification quicker. Find out how to apply for credit and see our credit policy.

    Check your eligibility for credit

    We also have several admission pathways to help you take the step into your preferred course, even if you don't quite meet the entry requirements at first. Find out what admission pathways are available to you.

    How to apply

    Apply now

    Please visit the following application portal: https://student-navitas.studylink.com/

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