Graduate Certificate in Business Data Analytics

includes:

Graduate Certificate in Business Data Analytics
AQF level 8

Awards

Academic Senate has approved the following awards for conferral at graduation on a testamur:

Graduate Certificate in Business Data Analytics GradCertBusDataAnal

Availability

Graduate Certificate in Business Data Analytics (2322BA)

Online - Bathurst

Availability is subject to change, please verify prior to enrolment.

Normal Course Duration

Course duration referenced below is the effective time taken to complete a course when studied full time (full time equivalent duration). At Charles Sturt the standard calendar refers to 32 points a session over a 2 session calendar year. The Actual Duration is the time taken to complete the course following the prescribed enrolment pattern. A course's actual duration can be affected by the session calendar (number of sessions undertaken per year) and/or mode (full time, part time or mixed) and credit packages which may have been granted upon admission. Therefore, depending on the prescribed enrolment pattern, mode, calendar utilised and credit awarded a course may take less time or more time to complete than the duration noted as full time equivalent years. Students are advised to consult the Enrolment Pattern to determine the actual duration of study.

Graduate Certificate in Business Data Analytics

Full-time: 0.5 years (or part-time equivalent)

Admission Criteria

CSU Admission Policy

Applicants without a bachelor degree may be admitted on the basis of professional attainment and/or work experience. Upon successful completion of the Grad Cert students will be eligible for entry to the Master of Applied Business with credit for relevant subjects.

Credit

CSU Credit Policy

No special arrangements apply

Graduation Requirement

To graduate students must satisfactorily complete 32 points.

Course Structure

Choose 4 subjects from the following:

MGM513 Data, Decision Making and Storytelling
MKT563 Big Data and Marketing Analytics
INF461 An Introduction to Data mgt: Governance, Standards and Ethics
INF463 Introduction to Data Tools and Analytics
ITC516 Data Mining and Visualisation for Business Intelligence
ITC573 Data and Knowledge Engineering
ITC575 Foundations of Big Data Analytics

* All subjects are 8 point subjects unless otherwise indicated.

Enrolment Pattern

Due to the flexible nature of the program there is no prescribed enrolment pattern.

The information contained in the CSU Handbook was accurate at the date of publication: July 2022. The University reserves the right to vary the information at any time without notice.

Back