In the geosciences, the use and availability of digital data is growing rapidly. As a result, industry-based geoscientists are expected to use sophisticated, cost-effective and innovative methods to process and interpret large amounts of multivariate digital data to enhance insight, decision making, and process automation. 

This rapid and ongoing shift from manual to automated methods for modelling complex geological phenomena has resulted in a knowledge gap. This limits the possible degree of understanding and knowledge to be gained from data or in the worst case, poor choices for analyses may lead to erroneous interpretations.

The Geodata Analytics Series will focus on rigorous and reproducible methods for extracting and visualising meaningful information from geological data. 

Successful completion of all assessments in this course series will make you eligible to recieve credit into the Master of Economic Geology. For more information please contact short.course@utas.edu.au