Master of Business Analytics
2021 Deakin University Handbook
Year | 2021 course information |
---|---|
Award granted | Master of Business Analytics |
Course Map | This course map is for new students commencing from Trimester 1 2021. This course map is for new students commencing from Trimester 2 2021. This course map is for new students commencing from Trimester 3 2021. 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) |
Cloud Campus | Yes |
Duration | Depending on your professional experience and previous qualifications, the Master of Business Analytics is typically 1, 1.5 or 2 years duration.
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
- Indicative student workload
- Professional recognition
- Career opportunities
- Participation requirements
- Mandatory student checks
- Alternative exits
- Fees and charges
- Course Learning Outcomes
- Course rules
- Specialisations
- Course structure
- Work experience
- Other learning experiences
- Research and research-related study
Course overview
Become a business analytics professional capable of driving business growth through analytics-based solutions.
Deakin’s business analytics program has been developed in partnership with industry needs. These are drawn from 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 very strong practical focus. You’ll learn how decision-making problems in business can be solved using modern modelling and solution techniques.
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, and 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. Click here for more information.
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 and your study load. To find out about the fees and charges that apply to you, visit the Current students fees website or our handy Fee estimator to help estimate your tuition fees.
Course Learning Outcomes
Graduate Learning Outcome | Course Learning Outcome |
Discipline specific knowledge and capabilities | Demonstrate 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 | Demonstrate 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 12 credit points of core 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 requiring 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.
- Academic Research
- Accounting
- Artificial Intelligence for Business
- Arts and Cultural Industries
- Business Law^
- Cyberlaw
- Digital Transformation
- Event Management
- Finance
- Financial Planning
- Human Resource Management
- Information Systems
- International Trade and Business
- Leadership#
- Management Consulting
- Marketing
- Project Management
- Property and Real Estate
- Public Sector Studies
- Supply Chain Management
# Not available in 2021
^ New from Trimester 2 2021
Course structure
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 |
MIS784 | Marketing Analytics |
SIT718 | Real World Analytics |
MIS780 | Advanced Artificial Intelligence for Business |
SIT742 | Modern Data Science |
MIS779 | Decision Analytics in Practice |
Plus 1 credit point from:
- MPM701 Business Process Management
- Any MIS7 coded unit
- Any MIT7 coded unit
- Any SIT7 coded unit
- Any MWL7 coded unit
^MIS770A is a Start Anytime unit.
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 availability.
^ Recommended electives list:
- MIS793 Business Analytics Project ~
- Any MIS7 coded unit
- Any MIT7 coded unit
- Any SIT7 coded unit
- Any MWL7 coded unit
~Please note: enrolment in MIS793 cannot be taken with a 4cp specialisation. This unit has a special enrolment process.
Compulsory 0-credit point module
To be completed in the first trimester of study:-
MAI010 | Academic Integrity Module |
Work experience
This course provides students the opportunity to complete one or more elective work integrated learning uni 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.