Master of Business Analytics

2023 Deakin University Handbook

Note: You are seeing the 2023 view of this course information. These details may no longer be current. [Go to the current version]

Year	2023 course information
Award granted	Master of Business Analytics
Course Map	This course map is for new students commencing from Trimester 1 2023. This course map is for new students commencing from Trimester 2 2023. This course map is for new students commencing from Trimester 3 2023. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
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.
CRICOS course code	088856B Burwood (Melbourne)
Deakin course code	M761
Approval status	This course is approved by the University under the Higher Education Standards Framework.
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

Study the Master of Business Analytics to become a business analytics professional capable of addressing business opportunities and challenges through analytics-based solutions. The program is designed to meet industry needs, and has been developed in conjunction with our course partners including IBM, Microsoft, Altis Consulting, Deloitte, Ernst & Young, PBT Group and PwC.

This course introduces you to a range of internationally recognised business intelligence and analytics tools and has a strong focus on practical learning. You’ll learn how decision-making problems in business can be solved using modern modelling and solution techniques.

During the course, you'll have the opportunity to complement your primary studies in business analytics with a specialisation in a wide range of business-related fields. Designed to meet current and future demands for skilled professionals with a breadth of transferrable skills, a specialisation can help deepen your knowledge in a particular business field, broadening your skills and making you more employable.

Big data concepts and issues are integrated across the curriculum, and you’ll have access to state-of-the-art business analytics software tools, such as IBM Cognos, Power BI, RapidMiner, Microsoft Excel and Tableau.

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 Business School is in the top 1% of business schools globally by holding 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.

The 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).

Career opportunities

As a Graduate of the Master of Business Analytics you will have developed a broad set of business analytic skills highly sought after in every industry sector, particularly within professional services firms and government.

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 the standard holiday breaks listed here: https://www.deakin.edu.au/courses/key-dates.

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 your course, the type of fee place you hold, your commencement year, the units you choose 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. Further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods is available on our Current students fees 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 students undertaking 16 credit points, you study 11 credit points of core units, one credit point from course grouped elective units, plus completion of the compulsory 0-credit point module, MAI010 Academic Integrity Module, and 4 credit points of elective units which may be selected from a faculty wide specialisation, a selected list of units or any postgraduate units offered by the University, 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.

Course structure

Compulsory 0-credit point module

To be completed in the first trimester of study:-

MAI010

Academic Integrity Module

Core units

MIS770/MIS770A

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)

^MIS770A is a Start Anytime unit.

Electives

1 credit point from course grouped elective units:

MIS714

People Analytics

MIS784

Marketing Analytics

Plus 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)

^{^} Recommended electives:

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

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 - additional information
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.