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HEC Paris And IBM Create New MBA Curriculum Focused On Big Data/Business Analytics

PARIS, Oct. 11, 2013 /PRNewswire/ -- With support from IBM (NYSE: IBM), HEC Paris introduces a new MBA curriculum for the 2013 academic year designed to prepare students for the growing number of careers requiring Big Data and analytics skills.  

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Through this partnership, IBM will provide HEC Paris with access to IBM's Big Data and analytics software solutions, course material and IBM data scientists who will visit classes as guest lecturers and engineers.

The new MBA program from HEC aims to develop leaders who are able to identify new growth opportunities within "Big Data" — or the quintillion bytes of information generated daily from such sources as sensors, RFID networks, mobile devices and social media. Thus, students will improve their IT skills and meet analytics and data management specialists such as engineers and scientists. The first European MBA in Business Analytics is a result of this joint initiative.

" The development of analytics skills for business and management students has become a necessity. It deals with mixing the general MBA's business training to more in-depth analytics and data interpretation skills in order to improve decision making and the ability to innovate," declares Associate Dean for the HEC Paris MBA Program Bernard Garrette.

A Lack of Analytics Skills

Nowadays, analytics skills are increasingly sought after, as employers in every industry seek out job candidates who can uncover insights from data to solve problems, act on findings, enter new markets, deepen engagement with customers.

However, there is a gap between the growing number of jobs that require data-driven skills and the available pool of job candidates who can fulfil these roles. Indeed, this abundant volume of data is far from being exploited. Only one in ten businesses has the required skills to use state-of-the-art technology in the field of Big Data and analytics 1.

This lack of graduates and adequately trained professionals is hampering the adoption of new Big Data and analytics technologies, which in turn hinders decision making and competitive advantage.

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