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Master of Business Analytics

Postgraduate coursework

Become a business analytics professional capable of driving growth. Learn how problems can be solved using modern modelling and solution techniques.

Key facts

Duration

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, or even 1 year duration. See entry requirements below for more information.

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course overview

There is high demand for business-minded data experts who have both the technical expertise and business knowledge to guide effective use of data and analytics for solving business problems. 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.

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

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 and course partners, including IBM, Microsoft, Altis Consulting, Deloitte, Ernst & Young, PBT Group and PwC. This means you will get hands-on experience with a range of internationally recognised business intelligence and state-of-the-art analytics tools. The latest analytics concepts and issues are also integrated across the curriculum.

Working alongside academics who are experts in their field, you will cover areas such as business intelligence, predictive analytics, decision modelling, machine learning, artificial intelligence, cyber security strategies and real-world 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.

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Course information

Award granted
Master of Business Analytics
Year

2024 course information

Deakin code
M761
CRICOS code?
088856B Burwood (Melbourne)
Level
Higher Degree Coursework (Masters and Doctorates)
Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9

Course structure

The Master of Business Analytics is typically 8, 12 or 16 credit points. The exact number of credit points you study depends on how much credit you receive as recognition of prior learning (RPL) – your professional experience and previous qualifications – which can save you time and money.

For Burwood and Online campus students undertaking 16 credit points, you study 11 credit points of core units, one credit point from course elective units, plus completion of the compulsory 0-credit point module, DAI001 Academic Integrity Module and 4 credit points of open elective units which may be selected from a Faculty wide specialisation, a selected list of units or any postgraduate units offered by the University including stackable short courses (0.5cp microcredentials), subject to eligibility.

Students are introduced to research tools and techniques in core units of the course where they learn analytic skills and the practical application of those skills in professional contexts. They must also complete a capstone unit that requires them to integrate the skills learnt over their course of study and produce an applied piece of research with reference to prevailing literature.

11

Core units

1

Course elective unit

4

Elective units

16

Total units

Core units

  • Foundation Skills in Data Analysis
  • Business Intelligence and Database
  • Value of Information
  • Descriptive Analytics and Visualisation
  • Predictive Analytics
  • Decision Modelling for Business Analytics
  • Machine Learning in Business
  • Real World Analytics
  • Advanced Artificial Intelligence for Business
  • Cyber Security Strategies
  • Decision Analytics in Practice (Capstone)
  • Compulsory 0-credit point module

    To be completed in the first trimester of study:-

  • Academic Integrity Module
  • Course elective units

    1 credit point from course elective units:

  • People Analytics
  • Marketing Analytics
  • Analytics for Security and Privacy
  • Open elective units

    The remaining 4 credit points may be selected from:

    • Recommended electives^
    • a faculty-wide specialisation
    • 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

    Stackable short courses

    Mix and match Deakin stackable short courses (0.5 cp microcredentials) to earn up to 4 credit point(s) of open electives, subject to eligibility. Any stacking must add up to a whole number to be used for credit. See more information on Deakin stackable short course options.

    Specialisations

    Refer to the details of each specialisation for availability.

     

    Intakes by location

    The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

    Trimester 1 - March

    • Start date: March
    • Available at:
      • Burwood (Melbourne)
      • Online

    Trimester 2 - July

    • Start date: July
    • Available at:
      • Burwood (Melbourne)
      • Online

    Trimester 3 - November

    • Start date: November
    • Available at:
      • Burwood (Melbourne)
      • Online

    Additional course information

    Course duration

    Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.

    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.

    Workload

    As a student in the Faculty of Business and Law, you can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. 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.

    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.

    Work experience

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

    Explore Business and Law WIL opportunities.

    Entry requirements

    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 year full-time (or part-time equivalent) - 8 credit points

    To be considered for admission to this degree (with 8 credit points of admission credit applied^*) you will need to meet at least one of the following criteria:

    • completion of a bachelor degree (honours) (AQF 8) or higher in a related discipline
    • completion of a bachelor degree in a related discipline, and at least two years' of relevant work experience (or part-time equivalent)
    • completion of a graduate certificate or graduate diploma or higher in a related discipline

    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

    ^Related discipline degree: A 'related discipline' award for this course is 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.

    ^Relevant work experience: Relevant work experience is professional work experience either in a business or IT related role in any industry.

    *Credit for 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:

    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.

    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.

    Recognition of prior learning

    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 system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place

    The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing the first year of 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.

    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 tuition fees.

    Scholarship options

    A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.

    Search or browse through our scholarships

    Postgraduate bursary

    If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.

    Learn more about the 10% Deakin alumni discount

    Apply now

    Apply through Deakin

    Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page.

    Deakin International office or Deakin representative

    Fill out the application form and submit to a Deakin International office or take your application form to a Deakin representative for assistance

    Need more information on how to apply?

    For information on the application process and closing dates, see the How to apply webpage
    If you’re still having problems, please contact Deakin International for assistance.

    Entry pathways

    Careers

    Career outcomes

    As a Deakin Master of Business Analytics graduate, you will develop a broad set of business analytic skills that are highly sought after in every industry sector, particularly within professional services firms and government. There are many career paths you could take, including:

    • business intelligence analyst
    • business systems analyst
    • market research analyst
    • statistician
    • business data scientist
    • analytics project manager.

    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).

    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.

    Course learning outcomes

    Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.

    Graduate Learning Outcome Course Learning Outcome
    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