GC-FIVAN v.1 Graduate Certificate in Finance and Investment Analytics

Curtin University

About

Associate Degrees prepare students to develop broad knowledge and skills for paraprofessional/highly skilled work and further learning corresponding to AQF level 6 qualifications.

This Graduate Certificate provides students with the ability to develop predictive models for purposes of formulating appropriate investment strategies

Additional Course Expenses

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

Structure

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. understand the economic foundations of financial markets and how these foundations can manifest in reality via market data

2. analyse market data in a logical, rational and critical way and correctly identify the information in the data

3. obtain, evaluate and apply relevant econometric techniques to market data in order to obtain useful predictions to aid business decisions

4. communicate effectively with a wide range of people from different disciplines, professional positions and countries; communicate financial data analytic findings via both verbal and written media

5. evaluate and utilize appropriate technologies to construct data analytics for financial market data and to compute useful predictions that aid business decisions

6. appreciate the need for, and develop, a lifelong learning skills strategy to pursue continuing development

7. recognize the global nature of financial and investment analytics and apply international standard practices and skills to produce excellent prediction outcomes

8. practice appropriate data collection methodologies in finance industry with consideration of and respect for cultural diversity, indigenous perspectives and individual human rights

9. apply lessons learnt in all areas of finance and investment analytics, demonstrating leadership and ethical behaviour at all times

Duration and Availability

This fee-paying course is one semester full-time or equivalent part-time study.

Location and delivery Mode

YEAR LOCATION PERIOD ALL INTERNAL PARTIALLY ONLINE INTERNAL EXTERNAL FULLY ONLINE
2021 Bentley Perth Campus Semester 1 Y
2022 Bentley Perth Campus Semester 1 Y

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.

YEAR 1 SEMESTER 1

Code Version Course Name HRS/WK Credit
ECOM5002 v.2 Business Quantitative Techniques 3.0 25.0
ECOM5001 v.1 Econometric Theory and Application 3.0 25.0
ECOM6003 v.1 Predictive Analytics in Business 3.0 25.0
FNCE5008 v.1 Financial Principles and Analysis 3.0 25.0
OR
ECON5004 v.1 Mathematical Modelling in Business 3.0 25.0
100.0

Entry requirements

Applicants for an Associate Degree are required to meet University academic and English language entry standards; details are provided at http://study.curtin.edu.au/ and include flexible entry pathways. Any specific course entry and completion requirements must also be met.

Specifically, applicants require a bachelor degree (or equivalent) in a quantitative discipline, such as mathematics/statistics, computer science, engineering, economics or finance, or at least 5 years relevant work experience in a role requiring quantitative knowledge/skill. Applicants must also meet Curtin’s English language proficiency requirements.

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.

Institution