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Introduction to data science for learning analytics

ITO5007

Synopsis

This unit will focus on the key data science approaches as commonly used in learning analytics. Students will work on relevant datasets and develop skills in identifying suitable data indicators for specific contexts. This unit provides foundations for feature engineering to extract relevant indicators from raw data about learning. Relevant data analytics tools and techniques will also be introduced. This will provide students with experience in working on common tasks in learning analytics using data science approaches that are situated in established frameworks used for designing and evaluating learning environments.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
5
Audience
Postgraduate
Type
Coursework
School
Faculty of Information Technology
Handbook year
2026

Prerequisites

No prereqs in the handbook graph.

What it unlocks (2)