Master of Business Analytics

Course summary for international students

Year	2026 course information
Award granted	Master of Business Analytics
Campus	Offered at Burwood (Melbourne), Online
Length	The time and cost can be reduced based on your previous qualifications and professional experience. This means you can fast track the masters degree from 2 years down to 1.5 years. See entry requirements below for more information.
Fee paying annual fee - commencing 2026	$44,200 for 1 yr full-time AUD
CRICOS code	088856B Burwood (Melbourne)
Level	Higher Degree Coursework (Masters and Doctorates)
Deakin course code	M761
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9

Course sub-headings

Course overview

There is strong demand for business-minded data experts who combine technical expertise with business acumen to enable evidence-based decision making. If you’re looking to develop the skills to assist decision makers and support effective business process design, Deakin's Master of Business Analytics equips you to step up to this challenge.

In the business world, understanding and interpreting data is an integral part of decision making. The Master of Business Analytics gives you the skills to help organisations achieve their strategic objectives through analytics-based solutions. You will learn skills that are in demand in both the private and public sectors, where a wide variety of industries are moving towards increasingly evidence-based decision practices.

The course has been developed in consultation with industry leaders and partners, including IBM, Microsoft, Altis Consulting, Deloitte, EY, PBT Group and PwC. You will gain hands-on experience with internationally recognised business intelligence and state-of-the-art analytics tools. The latest analytics concepts and issues are also integrated across the curriculum.

Want to become an expert at using analytics tools to solve business challenges?

Working alongside expert academics, you will explore topics including business intelligence, predictive analytics, decision modelling, machine learning, artificial intelligence, cyber security strategies and real-world applications of analytics.

This flexible course caters for working professionals balancing study with other commitments. You can also fast-track to complete your course in as little as a year. Choose to study online or on campus and tailor your study to meet your individual needs.

Online studies

Deakin offers many courses which can be studied by distance education overseas.

However, international students living in Australia on a student visa, in each compulsory trimester (that is, Trimesters 1 and 2), must enrol in at least one unit that is offered as a Campus located unit and can, in addition enrol in units offered online. International students may undertake a maximum of up to one third (or equivalent) of their study as online study. Please note enrolment in one face to face unit in compulsory study periods is only allowed if the student is completing their final unit of study and will not exceed maximum one third (or equivalent) online requirement.

Professional recognition

Deakin's Master of Business Analytics is accredited by the Australian Computer Society (ACS).
Completion of this course grants eligibility for entry as a Professional member of the Australian Computer Society (ACS). In order to meet ACS requirements for professional membership, students must satisfy the completion requirements for the whole degree. In addition, ACS guidelines require that the following specific units are completed at Deakin as part of this qualification: MIS771, MIS772, MIS780, MIS775, MIS774, MIS779.

Deakin Business School holds both AACSB and EQUIS accreditations. These prestigious accreditations are awarded to business schools that meet strict standards of quality, academic and professional excellence, and demonstrate a commitment to ongoing improvement and innovation in their courses, ensuring our graduates are employable worldwide.

Fees and charges

The 'Estimated tuition fee' is provided as a guide only and represents the typical first-year tuition fees for students enrolled in this course. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of prior learning you have.

One year full-time study load is typically represented by eight credit points of study. Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together eight credit points of a typical combination of units for your course.

You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook. Learn more about fees and available payment options.

Career opportunities

As a graduate of the Master of Business Analytics, you will be equipped to lead data-driven transformation and uncover strategic insights across business functions. With technical, managerial, and analytical expertise, you will be prepared for roles across sectors such as finance, retail, health, government, and tech.

Career opportunities include:

business intelligence analyst

business data scientist

analytics project manager

data Analyst

market research analyst

customer experience analyst

risk and compliance analyst

data and Analytics Consultant

business Intelligence Developer

data Engineer

Demand for skilled business analytics professionals continues to grow, with employers seeking talent that can bridge the gap between data science and commercial strategy.

Course learning outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Show a specialised and integrated understanding of contemporary body of knowledge of business analytics to research, design and implement projects with creativity and initiative
Communication	Interpret specialised knowledge and effectively communicate complex business analytics findings to both specialists and non-specialists
Digital literacy	Expertise in using business analytics technologies to independently source information, analyse complex business data and disseminate finding
Critical thinking	Evaluate complex business information using specialised and advanced critical and analytical thinking and judgement
Problem solving	Use research skills and analytics techniques to interpret data, analyse business environments, and develop advanced solutions for authentic (real world and ill-defined) problems
Self-management	Show autonomy, adaptability and responsibility, self- reflect and critique own performance and identify and plan future development as a business analytics professional
Teamwork	Collaborate constructively in teams to produce and share specialised and integrated analytic solutions to complex business problems
Global citizenship	Engage ethically and productively in a business analytics professional context with diverse communities and cultures in a global context

Course rules

To complete the Master of Business Analytics, you must pass 8, 12 or 16 credit points. The number of credit points required may vary, depending on your entry point or how much credit you receive as recognition of prior learning (RPL) based on your professional experience and previous qualifications.

A 16-credit point Master of Business Analytics includes:

DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
11 credit points of core units
1 credit point from course elective units
4 credit points of open elective units.

Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.

All students are required to meet the University's academic progress and conduct requirements.

Course structure

Compulsory 0-credit point module

To be completed in the first trimester of study:-

DAI001

Academic Integrity and Respect at Deakin

Core units

MIS770

Foundation Skills in Data Analysis

MIS781

Business Intelligence and Database

MIS782

Value of Information

MIS771

Descriptive Analytics and Visualisation

MIS772

Predictive Analytics

MIS774

Enterprise Data Management

MIS775

Decision Modelling for Business Analytics

MIS710

Machine Learning in Business

MIS780

Advanced Artificial Intelligence for Business

MIS761

Cyber Security Strategies

MIS779

Decision Analytics in Practice ^(Capstone)

Course electives

1 credit point from course elective units:

MIS714

People Analytics

MIS784

Marketing Analytics

SIT719

Analytics for Security and Privacy

Open electives

The remaining 4 credit points may be selected from:

Recommended electives^{^}

a postgraduate business specialisation^{^^} or any business units not previously studied

any Level 7 MWL coded unit

postgraduate units offered by the University (subject to eligibility)

Deakin stackable short courses (0.5cp microcredentials)

^{^} Recommended electives:

Any MIS7 coded unit
Any MIT7 coded unit
Any SIT7 coded unit
Any MWL7 coded unit

^{^^}Recommended specialisations:

Artificial intelligence for business

Digital finance

Digital transformation

Information systems

Marketing technology

Project management

Supply chain management

Stackable short courses

Mix and match Deakin stackable short courses (0.5 credit point microcredentials) to earn up to 1 credit point of open electives, subject to eligibility. Any stacking must add up to a whole number to be used for credit. For more information, visit the Deakin stackable short course options.

Admission criteria

Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.

Depending on your professional experience and previous qualifications, you may commence this course with admission credit and complete your course in 1 year full-time (or part-time equivalent).

Academic requirements

1.5 years full-time (or part-time equivalent) - 12 credit points

To be considered for admission to this degree (with 4 credit points of admission credit applied*) you will need to meet at least one of the following criteria:

completion of a bachelor degree or higher in a related discipline
completion of a bachelor degree or higher in any discipline, and at least two years' of relevant work experience (or part-time equivalent).

2 years full-time (or part-time equivalent) - 16 credit points

To be considered for admission to this degree (without admission credit applied*) you will need to meet the following criteria:

completion of a bachelor degree or higher in any discipline.

Examples of related disciplines include, but not limited to: a bachelor degree in information systems, information technology, computer science, mathematics and/or statistics, or a bachelor degree in any discipline with a specialisation (major/minor) in information systems/ information technology/ mathematics/ statistics.

Examples of relevant work experience include, but not limited to: roles focused on data-driven decision-making and analytics. Ideally post-graduation, this could include positions in data analytics, business intelligence, consulting, information systems, data science, operations research, or fields like financial, marketing, cybersecurity or supply chain analytics. Roles in project or product management, or business strategy with a strong emphasis on data analysis, are also relevant. Experience with analytics tools, platforms, or processes to support organisational decision-making is highly valuable.

*Recognition of prior learning will still be considered on a case-by-case basis. Learn more below.

English language proficiency requirements

To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:

bachelor degree from a recognised English-speaking country
IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent
other evidence of English language proficiency (learn more about other ways to satisfy the requirements)

Admissions information

Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.

Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.

Credit for prior learning - general

The University aims to provide students with as much credit as possible for approved prior study or informal learning.

You can refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

Alternative exits

Graduate Certificate of Business Analytics (M561)
Graduate Certificate of Information Systems (M522)
Graduate Diploma of Business Analytics (M661)

Course duration

You may be able to study available units in the optional third trimester to fast-track your degree, however your course duration may be extended if there are delays in meeting course requirements, such as completing a placement.

Workload

You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, online interactions, or professional experiences for Work Integrated Learning (WIL) units. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Work experience

This course provides students the opportunity to complete one or more elective work integrated learning units.

Explore Business and Law WIL opportunities.

Participation requirements

Units in this course may have participation requirements that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

Placement can occur at any time, including during standard holiday breaks. Learn about key dates at Deakin.

Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.

Mandatory student checks

Units which contain work integrated learning, a community placement or interaction with the community may require a police check, working with children check or other check. These requirements will be detailed in unit guides upon enrolment.