Master of Business Analytics
2019 Deakin University Handbook
| Year | 2019 course information |
|---|---|
| Award granted | Master of Business Analytics |
| Course Map | This course map is for new students commencing from Trimester 1 2019. This course map is for new students commencing from Trimester 2 2019. This course map is for new students commencing from Trimester 3 2019. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser. |
| 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
- 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, SAS, 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, IBM SPSS Modeler and IBM Watson, SAS Enterprise Miner, Microsoft Excel and Tableau.
You’ll also have direct access to analytics certification programs offered by IBM, Microsoft and SAS.
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
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, your fee category and the year you started. To find out about the fees and charges that apply to you, visit the Current students fees website.
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 findings |
| Critical thinking | Evaluate complex business information using specialised and advanced critical and analytical thinking and judgment. |
| 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 and 4 credit points of elective units which may be selected from any postgraduate units offered by the University, subject to eligibility, plus completion of MAI010 Academic Integrity (0 -credit point compulsory unit).
Most units (think of units as 'subjects') are equal to 1 credit point. Students are encouraged to use the electives units to gain depth or sector expertise.
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.
Course structure
Core units
| MAI010 | Academic Integrity (0 credit points) |
| MIS770/MIS770A | Foundation Skills in Data Analysis ^ |
| MIS782 | Value of Information |
| MIS771 | Descriptive Analytics and Visualisation |
| MIS772 | Predictive Analytics |
| MIS775 | Decision Modelling for Business Analytics |
| MIS779 | Decision Analytics in Practice |
| MIS781 | Business Intelligence |
| MIS784 | Marketing Analytics |
| SIT772 | Database and Information Retrieval |
| SIT718 | Real World Analytics |
| SIT720 | Machine Learning |
| SIT742 | Modern Data Science |
^MIS770A is a Start Anytime unit.
Course structure
Elective units
Plus 4 credit points of postgraduate units selected from the Faculty of Business and Law and from other faculties within the University; which may include the units listed below:
| MIS793 | Business Analytics Project * |
| MPP704 | Research Project 4 |
* This unit is worth 2 credit points
Students who have completed a minimum of 6 core units within the Master of Business Analytics (including MIS770 and MIS771) with a minimum WAM of 65% will be eligible to enrol in MPP704 Research Project 4 (which includes a thesis).
Achieving at least a second class honours upper division or grade of at least 70% in this unit would allow the student to apply for admission to our PhD program. For details refer to entry pathways to research degrees.
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.
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.