Graduate Certificate in Applied Artificial Intelligence

includes:

Graduate Certificate in Applied Artificial Intelligence
AQF level 8

Awards

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

Graduate Certificate in Applied Artificial Intelligence GradCertAppArtIntel

Availability

Graduate Certificate in Applied Artificial Intelligence (2322AI)

Online - Wagga Wagga

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 Applied Artificial Intelligence

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

Admission Criteria

CSU Admission Policy

To be eligible for admission, applicants will need:

* A completed Bachelor degree or higher qualification from a recognised Australian tertiary institution (or equivalent)
OR
*   Two years relevant work experience.

Upon successful completion of the Graduate Certificate, students will be eligible for admission to relevant Masters course and receive credit for applicable subjects as per Charles Sturt credit policy.

Credit

CSU Credit Policy

No special arrangements apply

Graduation Requirement

To graduate students must satisfactorily complete 32 points.

Course Structure

The course structure consists of 3 core subjects and 1 restricted elective

Core
ITC558 Programming Principles
ITC588 Artificial Intelligence for Business Applications
ITC576 Artificial Intelligence and Machine Learning

Restricted Electives - choose 1 subject from:

ITC516 Data Mining and Visualisation for Business Intelligence
ITC560 Internet of Things
ITC561 Cloud Computing
ITC575 Foundations of Big Data Analytics
ITC573 Data and Knowledge Engineering

Enrolment Pattern

Due to the flexible nature of the course structure there is no prescribed enrolment pattern. Students' enrolment patterns will depend upon their choice of subjects, the prerequisite needs of subjects and the session of availability of subjects.

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.

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