Course overview

Description

Business leaders equipped with analytical skills extract meaning from complex data sets, and translate this meaning into actionable insights. To inform strategic decisions, and remain competitive, businesses must leverage the insights contained in the large volumes of data produced both within the business and in the broader business environment. The Graduate Certificate in Business Analytics will allow students to acquire the knowledge and practical skills essential to data analysts working in many fields of business including management, information systems, marketing, human resource management, accounting, finance, economics and auditing.

Course title
Graduate Certificate in Business Analytics
Award abbreviation
GradCertBusAnalytics
Course code
42270
Course type
Postgraduate certificate
Status
Current / 2024
Administered by
UWA Business School

Course details

Intake periods
Beginning of year and mid-year
Attendance type
Part-time only
Credit points required
24
A standard full-time load is 24 points per semester.
Standard course duration
1 year
Time limit
2 years
Delivery mode
Internal
Locations offered
UWA (Perth)
Domestic fee type
Postgraduate fee-paying/FEE-HELP
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 'Student Procedures: 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.

No study plans found for this course. See study plans for more information.

Course structure

Key to availability of units:
S1
Semester 1
S2
Semester 2

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

Take all units (18 points):

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1, S2BUSN5002Fundamentals of Business AnalyticsNoneStandard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
S1, S2BUSN5003Data Storytelling
Prerequisites
Enrolment in
42630 Master of Business Analytics
or 41690 Master of Marketing
or 62530 Master of Data Science
or 42270 Graduate Certificate in Business Analytics
Up to three hours per week.
S1, S2BUSN5101Programming for Business
Prerequisites
Enrolment in
42270 Graduate Certificate in Business Analytics (ID 1458)
or Course Enrolment 42630 Master of Business Analytics (ID 1478)
or 41670 Master of Business Information and Logistics Management (ID 43)
Incompatibility
CITS1401 Computational Thinking with Python or equivalent.
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week

Take unit(s) to the value of 6 points:

Note: Choose units to the value of 12 points as advised by the faculty

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S2BUSN5001Blockchain and Distributed Ledger Technologies in BusinessNoneStandard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week Summer School: delivered intensively, up to 18 hours per week
S2HRMT5502People Analytics
Prerequisites
Enrolment in
41660 Master of Human Resources and Employment Relations (ID 45)
or Course Enrolment 42270 Graduate Certificate in Business Analytics (ID 1458)
or Course Enrolment 42630 Master of Business Analytics (ID 1478)
or 73550 Master of Business Psychology (ID 1408)
lectures/seminars/workshops: up to 3 hours per week
S1MGMT5660Applied Project Management
Incompatibility
MGMT5665 Project Management
lectures/seminars: up to 3 hours per week
S2MKTG5504Big Data in MarketingNone1 hour lectures, 2 hour tutorials each week

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—

(1) (a) a Bachelor's degree, or an equivalent qualification incorporating at least one unit of statistics, as recognised by UWA;

and

(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) Significant work experience including at least 5 years with a material level of responsibility.

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. The following courses form part of an articulated sequence:

  • 42270 Graduate Certificate in Business Analytics (24 points)
  • 42630 Master of Business Analytics (96 points)
Course structure

7.(1) The course consists of units to a total value of 24 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 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. This rule is not applicable to this 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).