GC-FIVAN v.1 Graduate Certificate in Finance and Investment Analytics
GradCertFinInvAnlyt(Curtin)
Course CRICOS Code: 098135G
Registered full-time Duration:
0.5 Years
Course Overview
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.
Course Entry and Completion Details
Applicants for an Associate Degree are required to meet University academic and English language entry standards; details are provided at http://futurestudents.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.
Course Organisation (Generic)
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# |
|---|---|---|---|---|---|---|---|
| 2019 | Bentley Campus | Semester 1 | Y | ||||
| 2020 | Bentley 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.
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 1 Semester 1 | |||||
| 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 | |
| ECON5004 | v.1 | Mathematical Modelling in Business | 3.0 | 25.0 | |
| OR | |||||
| FNCE5008 | v.1 | Financial Principles and Analysis | 3.0 | 25.0 | |
| 100.0 | |||||
Further Information
If you need more course information, you may contact the relevant areas: For Current Students: Student Services Office, please click here for further details: http://students.curtin.edu.au/contact_offices.cfm. For Domestic Future Students: Curtin Connect Future Students, enquiries: https://future.connect.curtin.edu.au/ , Tel: +61-1300 222 888. For International Future Students: Curtin International, email: international@curtin.edu.au, Tel: +61-8-9266 7331.
Course Structure Disclaimer
Curtin University reserves the right to alter the internal composition of any course to ensure learning outcomes retain maximum relevance. Any changes to the internal composition of a course will protect the right of students to complete the course within a normal timeframe and will not result in additional cost to students through a requirement to undertake additional units.
Disclaimer
Information in this publication is correct at the time of printing but may be subject to change.
In particular, the University reserves the right to change the content and/or method of assessment, to change or alter tuition fees of any unit of study, to withdraw any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/ or to vary arrangements for any program.
This material does not purport to constitute legal or professional advice.
Curtin accepts no responsibility for and makes no representations, whether express or implied, as to the accuracy or reliability in any respect of any material in this publication.
Except to the extent mandated otherwise by legislation, Curtin University does not accept responsibility for the consequences of any reliance which may be placed on this material by any person.
Curtin will not be liable to you or to any other person for any loss or damage (including direct, consequential or economic loss or damage) however caused and whether by negligence or otherwise which may result directly or indirectly from the use of this publication.
International students
International students studying in Australia on a student visa can only study full-time and there are also specific entry requirements that must be met. As some information contained in this publication may not be applicable to international students, refer to international.curtin.edu.au for further information. Australian citizens, permanent residents and international students studying outside Australia may have the choice of full-time, part-time and external study, depending on course availability and in-country requirements.
