2026 Advanced Data Analytics and Artificial Intelligence Masterclass Series
Register to attend in person Register to attend online
Location:
- In Person: Level 4 Seminar Room, The University of Queensland, St Lucia Campus, Sir James Foots Building (Bldg #47A) map
- Online: Live-streamed for interstate and international participants
How to attend
Choose your preferred format:
- Attend in-person – includes catering and a networking event at the end of day 1
- Attend online – join live from anywhere
Registration and pricing
Registration period: 25 August 2026 - 1 October 2026 (in-person); 25 August 2026 - 7 October 2026 (online)
Early bird discount ends: 31 August 2026
Attendance Type | Early Bird (2 days) until 31 August 2026 (Ex. GST) | Standard (2 days) |
In Person Attendee | $450 (early bird until 31 August 2026) (Ex. GST) | $530 (Ex. GST) (1 Oct – 20 Nov 2026) |
| Online | $240 (early bird until 30 September 2026) (Ex. GST) | $300 (Ex. GST) (1 Oct – 20 Nov 2026) |
About 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 online Advanced Data Analytics and Artificial Intelligence Masterclass 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.
Registrations open for the 2026 Masterclass
Date: 8 - 9 October 2026
Format: In-person and Online
CPD: 16 hours (certificate of attendance available upon request)
Discover how artificial intelligence and data analytics are transforming risk management and critical control monitoring in high-risk industries. This two-day masterclass provides practical insights into how real-time data and AI can be used to verify critical controls, predict failures, and improve workplace safety.
Expert Facilitators
Dr Nikodem Rybak and Nyssa Nair – Leading researchers from the Sustainable Minerals Institute's Minerals Industry Safety and Health Centre (MISHC), The University of Queensland.
Why Attend?
- Learn how to apply AI and data science to improve safety and reduce risk
- Understand the current limitations and opportunities of AI in workplace applications
- Engage in practical examples and research-backed insights
- Network with peers and thought leaders in high-risk industry sectors
Who Should Attend?
- HSE professionals, risk managers, and operational leaders in mining, energy, infrastructure, and manufacturing
- Data analysts and digital transformation leads in safety-critical environments
- Anyone interested in applying AI and predictive analytics for workplace safety
Venue
St Lucia campus