Master of Business Analytics - Global (coursework)

The Master of Business Analytics - Global 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 international business contexts.

Course overview

Course title
Master of Business Analytics - Global (coursework)
Award abbreviation
MBusA-G
Course code
42640
Course type
master's degree by coursework only
Status
not available in 2021
Administered by
UWA Business School
Jointly with
Indian Institute of Management (Kozhikode)

Course details

Intake periods
Throughout the year
Attendance type
part-time only
Credit points required
72
A standard full-time load is 24 points per semester.
Standard course duration
1 year
Time limit
5 years
Delivery mode
online
Locations offered
online
Available to international students
Not available to international students on student visas. Available to international students on other visas if visa conditions allow (see https://www.immi.gov.au). For information on international student fees see 'Schedule 2: Fees'. (Enquiries: https://www.uwa.edu.au/askuwa)
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

Note: This course is not available in 2021.

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; SS = summer teaching period; N/A = not available in 2021;
NS = non-standard teaching period; OS = offshore teaching period; * = to be advised

Take all units (72 points):

AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2BUSN5002Fundamentals of Business Analytics
Prerequisites:
Enrollment in 42270 Graduate Certificate in Business Analytics or 42630 Master of Business Analytics
Co-requisites:
Nil
Incompatibility:
Nil
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
S1, S2BUSN5003Data Storytelling
Prerequisites:
Enrolment in Master of Business Analytics, and BUSN5002 Fundamentals of Business Analytics or Master of Data Science
Co-requisites:
Nil.
Incompatibility:
Nil.
Up to three hours per week.
S1, S2BUSN5101Programming for Business
Prerequisites:
Nil
Co-requisites:
Nil
Incompatibility:
CITS1401 Computational Thinking with Python or equivalent.
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
T3BUSN5900Effective Business Communications
Prerequisites:
Enrolment in the Master of Business Analytics - International
Co-requisites:
nil
Incompatibility:
BUSN5100 Applied Professional Business Communications (ID 3533)
up to three hours per week
T3BUSN5901Blockchain Applications in Business
Prerequisites:
Enrolment in the Master of Business Analytics (International)
Co-requisites:
nil
Incompatibility:
BUSN5001 Blockchain and Distributed Ledger Technologies in Business (ID 7156)
up to three hours per week
T3BUSN5907Business Analytics International Industry Project (12 points)
Prerequisites:
At least 36 points credit in the Master of Business Analytics (International).
Co-requisites:
nil
Incompatibility:
BUSN5007 Business Analytics Industry Project (ID 7334)
up to 6 hours per week
S1CITS5504Data Warehousing
Prerequisites:
enrolment in: (Master of Information Technology or Master of Data Science or Master of Business Analytics) and (CITS1402 Relational Database Management Systems or BUSN5101 Programming for Busines or BUSN5002 Fundamentals of Business Analytics).
Co-requisites:
Nil.
Incompatibility:
CITS3401 Data Warehousing
lectures: 2 hours per week; labs: 2 hours per week
T3HRMT5902People Analytics and Insights
Prerequisites:
At least 36 points credit in the Master of Business Analytics (International).
Co-requisites:
nil
Incompatibility:
HRMT5502 People Analytics (ID 3297)
up to three hours per week
S1INMT5518Models for Logistics, Operations and Services
Prerequisites:
Nil
Co-requisites:
Nil.
Incompatibility:
Nil.
lectures/seminars/workshops: up to 3 hours per week
S2INMT5526Business Intelligence
Prerequisites:
Nil
Co-requisites:
Nil.
Incompatibility:
Nil.
lectures/seminars/workshops: up to 3 hours per week
T3MKTG5904Marketing Analytics and Big Data
Prerequisites:
At least 36 points credit in the Master of Business Analytics (International).
Co-requisites:
nil
Incompatibility:
MKTG5504 Big Data in Marketing (ID 7106)
up to 3 hours per week.

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

Rules

Note: This course is not available in 2021.

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) and the Communication and Research Skills module (the CARS module).

(2) A student who has previously achieved a result of Ungraded Pass (UP) for the CARS module is not required to repeat the module.

(3) A student must successfully complete the ACE module within the first teaching period of their enrolment. Failure to complete the module within this timeframe will result in the student's unit results from this teaching period being withheld. These results will continue to be withheld until students avail themselves of a subsequent opportunity to achieve a passing grade in the ACE module. In the event that students complete units in subsequent teaching periods without completing the ACE module, these results will similarly be withheld. Students will not be permitted to submit late review or appeal applications regarding results which have been withheld for this reason and which they were unable to access in the normally permitted review period.

English Language competency requirements

3.(1) 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, except as otherwise indicated in the rules for this course.

(2) Applicants presenting with the IELTS Academic require an overall score of at least 7.0 and no band less than 6.5.

(3) Applicants presenting with the TOEFL iBT require an overall score of at least 100 and no sub-score less than 20.

Admission requirements

4. 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, 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

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. This course does not form part of an articulated sequence.

Course structure

7.(1) The course consists of units to a total value of 72 points.

(2) Units must be selected in accordance with the course structure, as set out in these rules.

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 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 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
. 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.

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).


Additional rules
Substitutions

14. Where a student has successfully completed undergraduate study in the disciplinary areas of the core units of this course, the Faculty will permit the substitution of up to six of these units to the extent it is satisfied that the student has already studied the relevant content.