Master of Business Analytics

2024 Deakin University Handbook

Year	2024 course information
Award granted	Master of Business Analytics
Deakin course code	M761
Faculty	Faculty of Business and Law
Campus	Offered at Burwood (Melbourne)
Online	Yes
Duration	Depending on your professional experience and previous qualifications, the Master of Business Analytics is typically 1, 1.5 or 2 years duration. 1 year full-time (2 years part-time) - 8 credit points 1.5 years full-time (3 years part-time) - 12 credit points 2 years full-time (4 years part-time) - 16 credit points Deakin courses can also be studied part-time over a longer period.
Course Map - enrolment planning tool	This course map is for new students commencing from Trimester 1 2024. This course map is for new students commencing from Trimester 2 2024. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
CRICOS course code	088856B Burwood (Melbourne)
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 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, SAS, 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.

Indicative student 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.

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.

Career opportunities

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.

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.

Alternative exits

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

Fees and charges

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

Use the Fee estimator to see course and unit fees applicable to your course and type of place. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.

Course Learning Outcomes

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

Course rules

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.

Specialisations

Faculty-wide specialisations

Refer to the details of each specialisation for availability.

*Offered to students who commenced in 2023 or prior.

^{^} New from T1 2025.

Course structure

Compulsory 0-credit point module

To be completed in the first trimester of study:-

DAI001

Academic Integrity Module

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

MIS775

Decision Modelling for Business Analytics

MIS710

Machine Learning in Business

SIT718

Real World Analytics

MIS780

Advanced Artificial Intelligence for Business

MIS761

Cyber Security Strategies

MIS779

Decision Analytics in Practice ^(Capstone)

Course elective units

1 credit point from course elective units:

MIS714

People Analytics

MIS784

Marketing Analytics

SIT719

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.

Work experience

This course provides students the opportunity to complete one or more elective work integrated learning units.
More information: WIL Programs

Other course information

Course duration

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

Further information

Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.

Contact Student Central

Other learning experiences

This course includes the option of other learning experiences including residential and study tour units.

Research and research-related study

Research-related learning tasks are embedded across units where student achievement is demonstrated in specific assessment tasks.