Course overview
- Description
The Master of Business Analytics is relevant for those students looking to draw insights from data to enable better business decisions. In this course students will learn analytical and technical skills and apply these skills to business contexts.
- Course title
- Master of Business Analytics (coursework)
- Award abbreviation
- MBusA
- Course code
- 42630
- Course type
- Master's degree by coursework only
- Status
- Current / 2024
- Administered by
- UWA Business School
- CRICOS code
- 0101328
Course details
- Intake periods
- Beginning of year and mid-year
- Attendance type
- Full- or part-time (Student visa holders should read Education Services for Overseas Students Act 2000 for more information.)
- Credit points required
- 96
A standard full-time load is 24 points per semester. - Standard course duration
- 1.5 full-time (or equivalent part-time) comprising 72 points of taught units and 24 points of admission credit, as recognised and granted by the School
- Maximum course duration
- 2.0 full-time (or equivalent part-time) comprising up to 96 points of taught study (see Rule 5 for further information)
- Time limit
- 5 years
- Delivery mode
- Internal
- Locations offered
- UWA (Perth)
- Domestic fee type
- Postgraduate fee-paying/FEE-HELP
- Available to international students
- Yes. For information on international student fees see 'Student Procedures: Fees'. (Enquiries: https://www.uwa.edu.au/askuwa)
- Course Coordinator(s)
- Dr Brett Smith
- Fees
- Visit the fees calculator.
Prospective students should see the Future Students website for details on admission requirements, intake periods, fees, availability to international students, careers information etc.
No study plans found for this course. See study plans for more information.
Specialisations
Course structure
Key to availability of units:
- S1
- Semester 1
- S2
- Semester 2
- N/A
- not available in 2024 – may be available in 2025 or 2026
- NS
- non-standard teaching period
All units have a value of six points unless otherwise stated.
Students who have completed prior tertiary study in data science are not required to complete BUSN5101 Programming for Business and should contact their Student Advising Office for advice.
Students without requisite cognate studies may be required to take units to the value of 24 points as advised by the Faculty.
Take all units from this group (30 points):
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1, S2 | BUSN5002 | Fundamentals of Business Analytics | None | Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week |
| S1, S2 | BUSN5003 | Data Storytelling |
| Up to three hours per week. |
| S1, S2 | BUSN5101 | Programming for Business |
| Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week |
| S1, S2 | INMT5526 | Business Intelligence | lectures/seminars/workshops: up to 3 hours per week | |
| S1, S2 | MGMT5504 | Data Analysis and Decision Making |
| lectures/seminars/workshops: up to 3 hours per week |
Take min 6 points up to 18 points from the followings:
Note: Business Applications Units
A Capstone Experience
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1, S2 | BUSN5007 | Business Analytics Industry Project (12 points) |
| Indicative contact hours: up to 6 hours per week. |
| S1 | INMT5507 | Information Management and Logistics Capstone Projects |
| Lecture seminars: 3 hours per week for 6 weeks and ongoing consultation with academic supervisor throughout the semester. |
| NS, S1, S2 | WILG5001 | Work Integrated Learning Internship Program |
| Industry experience: 100 hours Online sessions with Unit Coordinator: 1-2 hours |
Take min 24 points from the following:
Group B
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1 | CITS4407 | Open Source Tools and Scripting |
| |
| S2 | CITS5503 | Cloud Computing |
| |
| S1 | CITS5504 | Data Warehousing | lectures: 2 hours per week; labs: 2 hours per week | |
| S1 | CITS5508 | Machine Learning |
| lectures: 2 hours per week; labs: 2 hours per week for 11 weeks from week 2 |
| S1 | ECON5514 | Economic Research and Evaluation Methods |
| seminars: 3 hours per week |
| S2 | ECON5570 | Health Analytics |
| seminars: up to 3 hours per week for 12 weeks |
| S2 | HRMT5502 | People Analytics |
| lectures/seminars/workshops: up to 3 hours per week |
| S1, S2 | INMT5518 | Supply Chain Analytics | None | lectures/seminars/workshops: up to 3 hours per week |
| S2 | INMT5527 | Process Mining and Analytics | None | Seminars 3 hours/week for 12 weeks |
| S1 | MGMT5660 | Applied Project Management |
| lectures/seminars: up to 3 hours per week |
| S2 | MKTG5504 | Big Data in Marketing | None | 1 hour lectures, 2 hour tutorials each week |
Take max of 24 from the following::
Group C
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1, S2 | ACCT5432 | Introductory Financial Accounting | lectures/seminars/workshops: up to 3 hours per week | |
| S2 | BUSN5001 | Blockchain and Distributed Ledger Technologies in Business | None | Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week Summer School: delivered intensively, up to 18 hours per week |
| S1, S2 | BUSN5100 | Applied Professional Business Communications |
| lectures/seminars/workshops: up to 3 hours per week |
| S1 | ECON4413 | Applied Advanced Econometrics | lectures/tutorials/seminars/workshops: up to 3 hours per week | |
| N/A | ECON5520 | Text-to-Data Applications and Novel Data Sources |
| seminars: 3 hours per week for 12 weeks |
| S1, S2 | ECON5541 | Economics for Business: Applications and Policy | lectures/seminars/workshops: up to 3 hours per week | |
| S2 | INMT5501 | Enterprise Information Systems | None | lectures/seminars/workshops: up to 3 hours per week |
| S1, S2 | MGMT5507 | Management and Organisations |
| lectures/seminars/workshops: up to 3 hours per week |
| S1 | MKTG5502 | Social Media Marketing | None | 1 hour lectures, 2 hour tutorials |
See also the rules for the course and the Student Rules.
Rules
Applicability of the Student Rules, policies and procedures
1.(1) The Student Rules apply to students in this course.
(2) The policy, policy statements and guidance documents and student procedures apply, except as otherwise indicated in the rules for this course.
Academic Conduct Essentials and Communication and Research Skills modules
2.(1) Except as stated in (2), a student who enrols in this course for the first time irrespective of whether they have previously been enrolled in another course of the University, must undertake the Academic Conduct Essentials module (the ACE module).
(2) A student who has previously achieved a result of Ungraded Pass (UP) for the ACE module is not required to repeat the module.
English Language competency requirements
3. To be considered eligible for consideration for admission to this course an applicant must satisfy the University's English language competence requirement as set out in the University Policy on Admission: Coursework.
Admission requirements
4.(1) To be considered for admission to this course an applicant must have—
(a) a Bachelor's degree, or an equivalent qualification incorporating at least one unit of statistics or having a substantive quantitative component , as recognised by UWA; and either:
(b) the equivalent of a UWA weighted average mark of at least 50 per cent;
or
(c) at least two years professional experience in a relevant occupation; or
(2) completed a Graduate Certificate in Business Analytics at UWA.
Admission ranking and selection
5. Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.
Articulations and exit awards
6.(1) The following courses form part of an articulated sequence:
- 42270 Graduate Certificate in Business Analytics (24 points)
- 42630 Master of Business Analytics (96 points)
(2) A student who withdraws from the Master of Business Analytics course before completing it, but after fulfilling the requirements of a lesser award in the above sequence, may apply for the relevant award.
Course structure
7.(1) The course consists of units to a total value of 96 points (maximum value) which include conversion units to a value of 24 points.
(2) Units must be selected in accordance with the course structure, as set out in these rules.
(3) Students who have completed a bachelor's degree with a major in a Commerce-related discipline, or a major in a Computer Science discipline (including a statistics unit), or equivalent as recognised by the Faculty are granted credit for conversion units up to a value of 24 points.
Satisfactory progress
8. To make satisfactory progress a student must pass units to a point value greater than half the total value of units in which they remain enrolled after the final date for withdrawal without academic penalty.
9. A student who has not achieved a result of Ungraded Pass (UP) for the Communication and Research Skills module (the CARS module) when their progress status is assessed will not have made satisfactory progress even if they have met the other requirements for satisfactory progress in Rule 8.
Progress status
10.(1) A student who makes satisfactory progress in terms of Rule 8 is assigned the status of 'Good Standing'.
(2) Unless the relevant board determines otherwise because of exceptional circumstances—
(a) a student who does not make satisfactory progress for the first time under Rule 8 is assigned a progress status of 'On Probation';
(b) a student who does not make satisfactory progress for the second time under Rule 8 is assigned a progress status of 'Suspended';
(c) a student who does not make satisfactory progress for the third time under Rule 8 is assigned a progress status of 'Excluded'.
11. A student who does not make satisfactory progress in terms of Rule 9 is assigned the progress status of 'On Probation', unless they have been assigned a progress status of 'Suspended' or 'Excluded' for failure to meet other satisfactory progress requirements in Rule 8.
Award with distinction
12. To be awarded the degree with distinction a student must achieve a course weighted average mark (WAM) of at least 80 per cent which is calculated based on—
(a) all units above Level 3 attempted as part of the course that are awarded a final percentage mark;
(b) all relevant units above Level 3 undertaken in articulating courses of this University that are awarded a final percentage mark;
and
(c) all units above Level 3 completed at this University that are credited to the master's degree course.
Deferrals
13. Applicants awarded admission to the course are entitled to a deferral of up to 12 months, as per the University Policy on: Admissions (Coursework).