NUS has a Master of Science in Maritime Technology and Management (MTM) programme. In this programme, there is a course, MTM5004 (Maritime Data Analytics) where postgraduate students are exposed with the opportunity to apply their data analytics skills to solve maritime-related problems.

This course builds on IE5005 and IE5600, where knowledge learnt about data analytics (IE 5005) and programming (IE 5600) is applied to solve maritime-related problems. Students are expected to analyze real-world data sets, define the objectives and scope of the problems, and then design, develop and implement systems. CMS will work with maritime related companies for access to real world data sets.

NUS invited Sergio Ballesteros Solanas and I to deliver a guest lecture to the postgraduate students on the topic of “Making data and analytics work across the entire value chain”. During the lecture we covered why most organisations struggle to realise this, how Databricks created the “The Data Lakehouse” category to address this, and how Databricks is yet again innovating to establish a new category called the “Data Intelligence Platform” which is redefining how organisations work with data and AI. We also demonstrated all of this capability live and showcase a ship to ship transfer detection use case that has been solved thereon. We then closed with how the students could learn more for free with Databricks and allow time for Q&A as well.

Sergio and I thoroughly enjoyed delivering this guest lecture and look forward to supporting many more at NUS and others.