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Finance and Investment Analytics
Graduate Certificate
GC-FIVAN
Outline
Aid businesses in decision making with useful market data predictions.
Get the Curtin edge
Access to leadership programs, specialist facilities and industry placements give you a competitive edge in the job market.
Top 1 %
Curtin is ranked in the top one per cent of universities worldwide (Academic Ranking of World Universities 2019).
Global education
You’ll have access to a range of international study opportunities.
As our economy becomes more data driven, financial and investment decisions will increasingly be guided by insights from data. This course bridges the gap between data analytics and finance and investment decisions.
You will develop a solid foundation in predictive analytics and its applications in finance and investment decision-making, using techniques from data mining, statistics, modelling, machine learning and artificial intelligence to analyse current data and make sound investment predictions.
You will also learn how best to communicate your ideas to stakeholders who do not possess any data analytics knowledge.
Please refer to the handbook for additional course overview information.
Why study
As a graduate, you will be well placed to meet the increasing demand from employers for skills in data analysis, particularly those looking for financial analysts and business data analysts and industries where there are disruptive technologies.
- Financial Analyst
- Financial Investment Adviser
What you'll learn
- understand the economic foundations of financial markets and how these foundations can manifest in reality via market data
- analyse market data in a logical, rational and critical way and correctly identify the information in the data
- obtain, evaluate and apply relevant econometric techniques to market data in order to obtain useful predictions to aid business decisions
- 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
- evaluate and utilize appropriate technologies to construct data analytics for financial market data and to compute useful predictions that aid business decisions
- appreciate the need for, and develop, a lifelong learning skills strategy to pursue continuing development
- recognize the global nature of financial and investment analytics and apply international standard practices and skills to produce excellent prediction outcomes
- practice appropriate data collection methodologies in finance industry with consideration of and respect for cultural diversity, indigenous perspectives and individual human rights
- apply lessons learnt in all areas of finance and investment analytics, demonstrating leadership and ethical behaviour at all times
Admission criteria
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.
Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.
| IELTS Academic (International English Language Testing System) | |
|---|---|
| Writing | 6.0 |
| Speaking | 6.0 |
| Reading | 6.0 |
| Listening | 6.0 |
| Overall band score | 6.5 |
You may demonstrate English proficiency using the following tests and qualifications.
Advanced standing
At Curtin, we understand that everyone’s study journey has been different.
You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.
If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.
A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.
CRL is also known as recognition of prior learning, advanced standing and credit transfer.
Use the CRL search to find out how much CRL you qualify for, or contact us at:
Email: crl@curtin.edu.au
Tel: 1300 222 888
Fees & charges
Domestic fee paying postgraduate
Fee year: 2020
| Student type | Cost |
|---|---|
| Domestic | $13,800* |
Fees are indicative only.
* Based on a first-year full-time study load of 100 credits. The total cost will depend on your course options (i.e. units selected and time taken to complete).
Use the Fee Calculator for an estimate of individual unit fees. There may also be some additional costs. For more information, see other fees and charges.
Location
For start dates, please view the academic calendar.
All endeavours are made to ensure location information for courses is up to date but please note they are subject to change.
The University reserves the right 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.
How to apply
Please review information on how to apply for the campus of your choice
Please note that each campus has different application deadlines. Please view our application deadlines page for further information.
Apply nowHelp is at hand
The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information. View courses information disclaimer.
- Curtin course code: GC-FIVAN
- CRICOS code: 098135G
- Last updated on: December 12, 2019
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