Advanced Data Analytics and Artificial Intelligence Masterclass Series

Our industries are changing and advanced data tools are becoming more accessible and available to extract value and information from the growing amounts of data that are being collected.   

The Advanced Data Analytics and Artificial Intelligence Masterclasses are designed for people working in the mining and resources industry to advance their use of data through advanced data analytical tools and explore the impact that AI can have by using predictive models to make our workplaces safer. The Masterclasses are available in-person and online.

The 2024 Masterclass Series will run on 21 - 22 October

During the workshops, you will hear from leading experts on current practices and latest research outcomes associated with the implementation of AI across a range of applications. Case studies will be explored and discussed to provide examples of what is possible with advanced data tools.  

The masterclass runs as two full-day workshops featuring presentations and discussions. They are facilitated by Dr Nikodem Rybak, a machine learning, natural language processing and complex systems research engineer at UQ's Minerals Industry Safety and Health Centre.

  • Day 1 – Getting started with using data analytics and artificial intelligence tools
  • Day 2 – Opportunities for data analytics and artificial intelligence tools into the future

In person

1 day (day 1 or day 2)

Day 1 and day 2


$150 (excl GST)

$280 (excl GST)


1 day (day 1 or day 2)

Day 1 and day 2


$100 (excl GST)

$180 (excl GST)

In person registrations include morning tea, lunch and afternoon tea each day

Getting to UQ Brisbane City

The venue is open 7am to 7pm weekdays, can easily be reached by car or public transport, and is accessible by people with reduced mobility.
Pre-paid parking is available through QueensPlaza.
Public Transport
The easiest way to access UQ Brisbane City locations is via public transport.
Plan your journey
There are no bicycle or storage facilities at 308 Queen Street, but on-street bike racks are available.