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In the Master of Business Analytics students will be exposed to a range of relevant theory, knowledge and approaches to develop and enhance their conceptual and practical understanding of data analytics in business and the information systems required to support these areas. Students will also be given opportunities to work with a range of Business Analytics tools to identify patterns and trends in complex data sets, and to visualise them in meaningful ways. Such an understanding is essential for those who want to pursue a role in Business Analytics as well as for business professionals who want to improve the quality of data-driven decisions in their business areas.
Students have the opportunity to specialise in areas such as finance, human resource management, marketing, supply chain and logistics, or cyber security. These specialty streams are at the cutting edge of developments in the sector today. The course will sharpen commercial awareness in business analytics and develop competencies for analysis, effective decision making, communication and ethical practice.
This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.
Students can choose to complete a 20-credit point work placement unit. The 20-credit point work placement option requires students to undertake a minimum of 100 hours of learning in a work setting. Work placement hours are typically completed on a part-time basis and students will undertake projects and tasks that are related to their course learning outcomes. Work placements will be secured through the work-integrated learning team, or as a result of pre-approved networking and contacts developed by the student. Terms of payment, if any, will be negotiated on an individual basis.
Students must complete the relevant risk management documentation prescribed by the work-integrated learning team, in accordance with ECU policy and procedures. Students should be aware of any work-related restrictions in their visa conditions, if applicable. They must also provide any documentation required by their host partner, including police clearances and immunisations. Required documentation is likely to vary across host organisations.
Students are required to attend host organisations to complete their learning in a work setting. Hours will be organised on an individual basis and host organisations may require students to attend after hours and on the weekends. In addition to their time in the work setting, students may be required to attend virtual and/or face-to-face sessions as instructed by the Unit Coordinator.
Enrolments into work placement units are by application only. Interested students should contact the work-integrated learning team at least one semester prior to when they hope to commence their placement. Eligible students will be required to participate in a recruitment process which could involve submitting recruitment documents and attending an interview (virtual or face-to-face) with the work-integrated learning team and prospective industry partners. Students should be aware that enrolment into the course does not guarantee entry into work placement units.
Students will enrol into BUS6900
Students are expected to behave in a professional manner in the work setting and adhere to the host organisation and/or industry's Code of Conduct. They are also required to meet the requirements outlined in the SBL WIL Guidelines for Students’. Host organisations are expected to the meet the requirements outlined in the 'SBL WIL Guidelines for Collaborators'.
English competency requirements may be satisfied through completion of one of the following:
All applicants are required to meet the published entry requirements. This course allows eligible applicants to fast track their degree through Credit and Recognition of Prior Learning (CRPL), where they have completed a degree in a specified discipline (or with appropriate experience): You may be able to receive CRPL if you have any of the following: - A Bachelor degree, or major, in a related discipline*, or - A Bachelor degree in any discipline, plus two years relevant work experience^, or - A Graduate Certificate of Business Analytics (or equivalent), or - A current professional certification in Business Analytics, such as IIBA-ECBA, or - Evidence of academic capability judged to be equivalent. Depending on the nature of your prior study and experience, you may be able to complete your course in 1.5 years of full-time study (3 years of part-time study) – 180 credit points. *Related discipline refers to any Business Analytics related discipline. ^Relevant work experience constitutes professional experience in Business Analytics positions to be approved by the Course Coordinator. All applications are assessed individually, and the exact amount of credit awarded will depend on how your previous study or experience aligns with this course. One or more of the specialisations in this course has admission requirements. Refer to the specialisation for more information.
This course has been accredited by ECU as an AQF Level 9 Masters Degree (Coursework) Award.
SCI units delivered at the Joondalup campus
This is a Programmatic Learning course. This Course uses a mix of Learning Units and Assessment Units which all connect together.
Students will collect evidence of learning in a digital portfolio that charts their course journey, and can be used as a showcase to employers.
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| CSI6208 | Programming Principles | 20 |
| ECF6102 | Quantitative Skills for Business | 20 |
| MAN6777 | Data Driven Managerial Decisions | 20 |
| BSO6000 * | Business Systems and Operations Fundamentals |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| MAN5902 | Business Systems Analysis | 20 |
| MAN6905 | Databases and Business Intelligence | 20 |
| Elective Unit | Elective or Specialisation | 20 |
| BSO6100 * | Expanded Business Systems and Operations |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| MAN6910 | Business Process Management | 20 |
| MAN6205 | Machine Learning for Business Analytics | 20 |
| Elective Unit | Elective or Specialisation | 20 |
| BSO6300 * | Advanced Business Systems and Operations |
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| Elective Unit | Elective or Specialisation | 20 |
| BSO6500 * | Business Systems and Operations Capstone | 40 |
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
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