Bridge the Gap with our FinTech Micro Credentials. Learn more

Bridge the Gap with our FinTech Micro Credentials. Learn more

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TFIN605 Data Analytics in Finance

TFIN605 Data Analytics in Finance
Campus: South Eveleigh, NSW 2015
Units of Credit: 6
Prerequisite or Corequisite: There is no required prerequisite for this unit.
EFTSL*: 0.125
Indicative Contact Hours per Week: 3
Tuition Fee See Tuition Fee Schedule
Application Date: See Key Dates
Unit Overview:

This unit introduces students to data analytics in financel using the Python programming language and its ecosystem of packages (e.g., Pandas, Matplotlib, Numpy, Scikit-Learn, StatsModels, Tensorflow). Students will investigate a variety of empirical questions from different areas within finance including: investment analysis with a focus on stock prices and returns, performance evaluation and portfolio optimisation, corporate finance, real estate finance and financial intermediation. Students will learn basic Python coding relevant for data analysis and the steps involved in financial data analytics workflow. The unit will highlight how data analytics is applied in finance by focusing on practical problems currently confronting finance professionals.

Note: This unit is BYOD (Bring Your Own Device). Students are required to bring their own device (Laptop/Notebook) with installed Windows 10, MAC OS, or Linux operating systems.

*EFTSL = Equivalent full-time study load