Master of Business Analytics (coursework)

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 overview

Course title
Master of Business Analytics (coursework)
Award abbreviation
MBusA
Course code
42630
Course type
master's degree by coursework only
Status
current / 2020
Administered by
Faculty of Arts, Business, Law and Education
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 Faculty
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
Course Coordinator(s)
Dr Catherine Leighton
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.

Course structure

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; SS = summer teaching period; NS = non-standard teaching period

All units have a value of six points unless otherwise stated.

Students without requisite cognate studies may be required to take units to the value of 24points as advised by the Faculty.

Take all units from this group (24 points):

AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2BUSN5002Fundamentals of Business Analytics
Prerequisites:
Enrollment in 42270 Graduate Certificate in Business Analytics or 42630 Master of Business Analytics
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
S2BUSN5003Data Storytelling
Prerequisites:
Enrolment in Master of Business Analytics, and BUSN5002 Fundamentals of Business Analytics
Up to three hours per week.
S2BUSN5007Business Analytics Industry Project (12 points)
Prerequisites:
Enrolment in Master of Business Analytics (completion of at least 30 points), including: BUSN5002; BUSN5003; BUSN5101 or equivalent. .
Indicative contact hours: up to 6 hours per week.

Take units to at least the value of 18 points from this group.

Note: Business Applications Units

Group A
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S2, SSBUSN5001Blockchain and Distributed Ledger Technologies in Business
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week Summer School: delivered intensively, up to 18 hours per week
S1ECON5514Economic Research and Evaluation Methods
seminars: 3 hours per week
S1HRMT5502People Analytics
lectures/seminars/workshops: up to 3 hours per week
S2INMT5526Business Intelligence
Prerequisites:
For Master of Business Analytics students: BUSN5101 Programming for Business
lectures/seminars/workshops: up to 3 hours per week
S1MKTG5504Big Data in Marketing
Seminars: 3 hours per week for 12 weeks.

Take up to the number required to complete course (maximum of 30 points):

Group B
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2ACCT5432Introductory Financial Accounting
Incompatibility:
ACCT1101 Financial Accounting, ACCT5602 Accounting
lectures/seminars/workshops: up to 3 hours per week
S1, S2BUSN5100Applied Professional Business Communications
Incompatibility:
WACE/TEE English or equivalent or BUSN4003 Applied Business Communication or MGMT5610 Applied Professional Business Communications
lectures/seminars/workshops: up to 3 hours per week
S1, S2BUSN5101Programming for Business
Prerequisites:
BUSN5002 Fundamentals of Business Analytics
Incompatibility:
CITS1401 Computational Thinking with Python or equivalent.
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
S1CITS4407Open Source Tools and Scripting
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 42630 Master of Business Analytics.
S2CITS5503Cloud Computing
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) or HON-CMSSE Computer Science and Software Engineering [Honours] or 42630 Master of Business Analytics and completion of 12 points of programming-based units
S1CITS5504Data Warehousing
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 42630 Master of Business Analytics and CITS1402 Relational Database Management Systems.
Incompatibility:
CITS4243 Advanced Databases, CITS3401 Data Warehousing and Data Mining (formerly CITS3401 Data Exploration and Mining)
lectures: 2 hours per week; labs: 2 hours per week
S1CITS5508Machine Learning
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) or the HON-CMSSE Computer Science and Software Engineering [Honours] or 42630 Master of Business Analytics and completion of 12 points of programming-based units.
lectures: 2 hours per week; labs: 2 hours per week for 11 weeks from week 2
S2ECON5513Applied Advanced Econometrics
Prerequisites:
ECON2271 Business Econometrics or equivalent
lectures/tutorials/seminars/workshops: up to 3 hours per week
NS, S1, S2ECON5541Economics for Business: Applications and Policy
Incompatibility:
ECON5503 Economic Management and Strategy; ECON1101 or equivalent.
lectures/seminars/workshops: up to 3 hours per week
S2INMT5501Enterprise Information Systems
lectures/seminars/workshops: up to 3 hours per week
S1INMT5518Models for Logistics, Operations and Services
Prerequisites:
For students enrolled in the Masters of Business Analytics: BUSN5002 Fundamentals of Business Analytics
lectures/seminars/workshops: up to 3 hours per week
S1, S2MGMT5507Management and Organisations
Incompatibility:
MGMT1136 Management and Organisations
lectures/seminars/workshops: up to 3 hours per week
NS, S2MKTG5502Digital Marketing
Semester 2: Online seminars, 3 hours per week over 12 weeks. Non-standard: Face-to-face seminars, 36 hours in one week.

See also the rules for the course and the Student Rules.

Rules

Applicability of the Student Rules, policies and procedures

1.(1) The http://handbooks.uwa.edu.au/postgraduate/student-procedures'>student procedures apply, except as otherwise indicated in the rules for this course.

Academic Conduct Essentials module

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 bachelor's degree, which includes the completion of a statistics unit or equivalent; and either:

(a) the equivalent of a UWA weighted average mark of at least 60 per cent;

or

(b) a valid Graduate Management Admission Test (GMAT) score of at least 550;

or

(c) at least five years of relevant, documented professional experience considered by UWA to be sufficient to permit satisfactory completion of the course;

or

(2) completion of the Graduate Certificate in Business Analytics with a WAM of 60%.

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 in a calendar year a student must pass units to a value of at least 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 ACE 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 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.