Bart Baesens

Bart Baesens

KU Leuven

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data & analytics, credit risk modeling, fraud detection, and marketing analytics. He co-authored more than 250 scientific papers and 10 books some of which have been translated into Chinese, Japanese, Korean, Russian and Kazakh, and sold more than 40,000 copies of these books world-wide. Bart received the OR Society’s Goodeve medal for best JORS paper in 2016 and the EURO 2014 and EURO 2017 award for best EJOR paper. His research is summarized at He also regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy. Bart is listed in the top 2% of Stanford University’s new Database of Top Scientists in the World. He was also named one of the World’s top educators in Data Science by CDO magazine in 2021 and has educated tens of thousands of data scientists across the globe in the fields of credit risk, fraud, marketing, ICT, HR and others. Bart also has his own ON-LINE learning BlueCourses platform which features courses on machine learning, credit risk, fraud, marketing, text analytics, deep learning, web scraping etc.

Follow Bart

Articles by Bart Baesens

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here