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Quantitative and data analysis in Python

BFF5525

Synopsis

This unit develops advanced foundational skills in quantitative and data analysis for financial applications using Python as the programing language. Content is organised into 2 sections: introduction to Python and quantitative investment analysis. In the former, you will be introduced to Python and its core libraries for financial applications such as NumPy and Pandas - no prior knowledge in Python or programming is required. In the latter, you will refresh your knowledge on probability and statistics and develop hands-on skills in financial data processing and visualisation, performing correlation and regression, time series analysis, simulation analysis and portfolio construction.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
5
Audience
Postgraduate
Type
Coursework
School
Faculty of Business and Economics
Faculty
Department of Banking and Finance
Handbook year
2026

Prerequisites

No prereqs in the handbook graph.

What it unlocks

Nothing in the visible graph depends on this unit.

Offerings (2)

  • First semesterCaulfield · FLEXIBLE
  • Second semesterCaulfield · FLEXIBLE