Econometrics and Big Data

The Econometrics and Big Data cluster is an interdisciplinary research group using big data analytics to achieve better strategic decision making and enhance business, economic, urban and industrial planning. Big data has become a key asset for the business community, the financial world, and policy makers.

Led by Professor Abderrahim Taamouti.

The cluster is developing and maintaining a ‘data warehouse’, containing a variety of micro data sets on financial and operational information of firms and workers, scanner data of products, high frequency stock market data, etc.. In addition, the cluster develops and applies machine learning methods and algorithms to explore, describe, visualize and synthesize complex relationships commonly observed in a variety of problems in the various subject fields in the school.

The Econometrics and Big Data Cluster encourages both academics and PhD students to contact the cluster regarding membership availability. If you are interested in becoming a member or affiliate please contact Professor Abderrahim Taamouti ( for further details.

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