GC-PREDAN v.2 Graduate Certificate in Predictive Analytics

Graduate Certificates prepare students to develop advanced knowledge and skills for professional or highly skilled work and further learning corresponding to AQF level 8 qualifications.

The Graduate Certificate in Predictive Analytics is designed to prepare you for entry to the multi-disciplinary Predictive Data Analytics profession, in which many operations are automated and controlled remotely. Predictive Analytics is the study of data in order to predict and subsequently optimise management decisions. The Graduate Certificate in Predictive Analytics is designed for students who wish to learn the basics of predictive data analytics, providing basic concepts of data analysis, computing and visualisation.

Additional Course Expenses

Students may be expected to purchase a number of textbooks and other essential study materials.

Graduate Certificates contain a series of units which may include compulsory (core), optional or elective units to cater for student preferences.

Course Learning Outcomes

A graduate of this course can:

1. comprehend the theoretical background of data analytics and data processing of unstructured data for correct interpretation of the data

2. explain the various approaches to data analysis and appreciate strategies for adapting them to a specific situation

3. assess information from a variety of sources and assisting to develop a plan to optimise data management, processing and prediction

4. communicate data analysis findings in a variety of ways via written, verbal or electronic communications

5. assist in evaluating and selecting appropriately from existing and emerging data analysis and prediction technologies

6. utilise fundamental knowledge to enable further study of new and emerging prediction analysis concepts, issues and management strategies

7. identify the international standards related to the predictive analytics industry; consider issues with a global perspective

8. articulate the ethical issues related to protecting the rights of individuals from diverse cultures; inclusive of Indigenous perspectives and how that maps to ensuring the quality and integrity of data collected and analysed

9. apply lessons learnt in a professional manner to assist in all areas of prediction design, demonstrating leadership and ethical behaviour at all times

Duration and Availability

This course is 6 months' full-time or the equivalent part-time study.

Location and delivery Mode

The information displayed above refers to study periods and locations where the course is available for first time entry. Students are normally only offered or admitted to a course once.

* The course itself may not be available either solely internally or externally but individual units may be offered in either or both of those modes. Prospective students should contact the Course Coordinator for further information.

^ Course and associated units are offered in this mode permitting International Onshore student enrolment.

# Course and associated units are offered in this online only mode and DO NOT permit International Onshore student enrolment.

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Applicants for a Graduate Certificate are required to meet University academic and English language entry standards; details are provided at http://study.curtin.edu.au/. Applicants generally require a Bachelor Degree or equivalent credit gained for recognised learning. Any specific course entry and completion requirements must also be met.

Specifically, students require a Bachelor's Degree.

Credit for Recognised Learning

Applications for credit towards a course are assessed on an individual basis. Credit reduces the amount of learning required to complete the course and may be granted for formal education qualifications, non-formal learning from non-award programs of study and informal learning through work experiences. Further information can be found at http://futurestudents.curtin.edu.au/non-school-leavers/rpl.cfm

Pathway to Further Study

Graduates may qualify for entry to some Graduate Diplomas and Master degrees. For further details, see the University website http://curtin.edu.au.

Students who successfully complete this course may be eligible for entry into the GD-PREDAN Graduate Certificate in Predictive Analytics; MC-PREDAN Master of Predictive Anlytics, to further their studies.