Today’s blog is all about how to design and create a business analytics programme at a university,  Dr Salimeh Mohammad kindly offered to share her experiences of designing a Business Analytics and Data Science programme at Warwick Business School in the United Kingdom.   Salimeh is an Associate Professor at Warwick Business School, and she gave us a live talk about her approach to designing the curriculum, the course contents, teaching methods, and student support.    A recording of the talk is available on our YouTube Channel  . .   In the following article Dr Chris Davies from Bangor Business School has summarised Salimeh's talk, boiling down all of those tips and tricks we might find useful.   So, if you’re an academic who is also designing a business analytics program this talk is for you.   The first step in designing the programme is to have a clear definition of what analytics, and thus business analytics, is.   Sal...

 On 12th February we hosted SMA Moin who gave a fascinating talk about the use of storytelling in the classroom. Thanks to our media wizard, Allen Higgins (University College Dublin), we can now link to a video of the event and the stimulating discussion that it prompted. I hope you find it as enjoyable and interesting as we did :)  Please like/share/comment on the video in YouTube to help us gain reach and publicise this great work by Moin.

Thank you again to all attendees, it was a thought provoking and sometimes surprising session. It was heartening to hear that the skills of design, problem structuring, interpretation and communication are thought by everyone to be very important. Most important of all - critical thinking and assessment!

Latest podcast produced by Allen Higgens our resident podcaster and media wizzard:  Annunziata Esposito Amideo is an Assistant Professor in Management Information Systems at University College Dublin and a member of the OR Society. Nunzia chats with Allen about her work as a researcher and educator in business analytics: The challenges surrounding the academic/industry interface. Knowing when to talk with clients in relatable concepts. Knowing when and how to communicate through words, visuals, and in numbers. We need to think of it as practical and applied mathematics, while being happy to express ourselves in pure mathematics if necessary. Also, a view on essential skills, competency and abilities to be able to perform data analytics professionally.