SKEMA Business School
SKEMA Business School is a top ten French global business school; they have a multi-campus curriculum, rich educational programmes, 48,000 alumni worldwide, and over 130 international partners in more than 40 countries. Take this opportunity to meet with SKEMA's academic experts, learn about how new technologies are transforming global industries, and discover the training opportunities you can access with SKEMA.
Description of Institution
SKEMA Business School is a top ten French global business school. Member of the “Conference des Grandes Ecoles” and recognised internationally with the triple accreditation EQUIS, AMBA and EFMD, as well as the FT rankings.
SKEMA’s mission is to train and educate the talented individuals businesses require in the current competitive environment.
• A multi-campus curriculum: the school is international, with three sites in France (Lille, Paris and Sophia Antipolis), one in China (Suzhou), one in the USA (Raleigh), one in Brazil (Belo Horizonte) and one in South Africa (Cape Town).
• Rich educational programmes: SKEMA’s programmes reflect the latest research into the challenges posed by the management of innovative and high-tech projects, the management of information, customer relations, globalisation, and economic dynamics.
• A more valuable degree: SKEMA students now have a wider choice of curricula and enjoy the benefits of an enlarged alumni network (48,000 alumni throughout the world), an even larger faculty, and over 130 international partners in more than 40 countries.
March 9th: FRENCH AI & DATA WEEK @HKU
Dr. Steward Huang, Head of SKEMA’s Master of Artificial Intelligence and Business Transformation will be participating in a discussion on "Data Science: The Revolution in Business Strategy and Intelligence" on March 9th (Tues) as part of the FRENCH AI & DATA WEEK @HKU. Tune in to his panel discussion from 3:00 - 4:05 pm (HK time).
Register here.
Speaker Profile
Dr. Steward Huang, Head of SKEMA’s Master of Artificial Intelligence and Business Transformation
Dr. Steward Huang earned his PhD in Applied Statistics degree from the University of California, Riverside (UCR), and has deep insight and rich academic experience in statistical analysis, machine learning, data mining, artificial intelligence, and management science. He has a rich international perspective and speaks Chinese, English, Spanish and French. He is also a current graduate adjunct professor in the Master of Science in Data Analytics Program at the University of Maryland Global Campus (UMGC) and an adjunct instructor in the Master of Science in Data Analytics Program at Northeastern University in Boston (via webinar). He has also served as an Associate Professor of Statistics at the University of Arkansas at Fort Smith.