Máster en Data Science para Finanzas
In this course you will learn how to help organisations plan for the future and protect themselves from loss. Core units cover the principles of finance and investment science through to risk analysis and credibility theory.
You will also select optional units, which include practical mathematical financial modelling, applied statistics and numerical methods.
On completion of this course, your skills may be applied in the worlds of insurance, pensions, healthcare, banking, business management and risk assessment. You may also play a role in determining company policy and explaining complex technical matters to company executives, government officials, shareholders, policyholders, or the public in general.
This course is accredited by the Actuaries Institute. Graduates are also eligible for membership of the Australian Mathematical Society.
Australian & NZ Students:
You must have an honours degree or a four-year bachelor degree in mathematics, statistics, science, engineering or finance. Your basic mathematics and statistics competency must be equivalent to Curtin’s advanced calculus, linear algebra and statistical methods units.
Minimum English language entry requirements:
IELTS ACADEMIC (INTERNATIONAL ENGLISH LANGUAGE TESTING SYSTEM)
Investment Science 1
Life Contingencies 1
Risk Analysis and Credibility Theory
Theory of Interest
Mathematics Masters Project 1
Advanced Corporate Finance and Theory
Investment Science 2
Advanced Derivative Securities
Science Masters Research Methodologies
SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF:
OPTIONAL UNITS (NO YEAR LEVEL SPECIFIED)
Advanced Business Financial Modelling
Practical Mathematical Financial Modelling
Life Contingencies 2
Contemporary Issues in International Finance
Advanced Optimisation Techniques
Intermediate Financial Accounting
Financial Principles and Analysis
Graduates generally find employment with insurance companies, investment and superannuation funds, banks, stockbrokers and government agencies.