Overview
Transform Big Data and AI into better opportunities for your career.
ESSEC Professors have designed an Executive Short program exploring the ongoing developments of Artificial Intelligence, Big Data, the Internet of Things, Blockchain as well as GDPR and Quantum Computing.
This Executve Short program will provide you with solid foundations on these existing and future technologies.
Teaching methods
Methodology
- 100% online lectures
- Teamwork (top-level peer learning)
- Individual academic coach
Follow-up & evaluation
- Self-assessment
- Evaluation & feedback
- Video projects
- Activity files & materials
Pre-requisites
English: minimum TOEIC SCORE 785 or B2 on the Common European Framework of reference
Candidates must have some notions of digital technologies.
Lecturers
Dr. Julien Malaurent is Professor of Information Systems at ESSEC since 2013. Julien’s research projects are based on qualitative approaches (case study and action research), and address issues related to the work practices of users embedded in multi-cultural context, digital ubiquity, digital transformation at both the organizational and societal levels. In terms of methodology and epistemology, Julien’s research projects stress the importance of reflexivity toward the use of theoretical framework and interpretation empirical datasets.
Ph.D in Law. Dr Hugues Bouthinon-Dumas is an associate professor in ESSEC’s Public and Private Policy department. His research topics cover fields such as company law, corporate governance and regulation of markets.
Ph.D. In Econometrics, CORE, Universite Catholique de Louvain. Currently CORE research associate and Elected Member of the International Statistical Institute. Joined ESSEC in 2013 and formerly professor at HEC Montreal (2004-2012).
Professor Jeroen VK Rombouts joined ESSEC Business School in January 2013. He combines rich data sets with statistical tools to answer financial questions. His research outcomes are published in international peer reviewed journals. He teaches courses of Basic Statistics and Econometrics in the Master and PhD programs. He has been Visiting Scholar at several universities (University of Pittsburg, Tilburg University, Erasmus University Rotterdam, Aarhus University (CREATES) and CORE as a research associate among others). He is an expert consultant in financial econometrics and macro-economic forecasting. Prior to joining ESSEC Business School, Jeroen was Associate Professor at HEC Montreal (2004-2012)
Programme Contents
Understand the features and challenges of Big Data and Open Data
- • Understand why data is now being regarded as the ‘oil’ for the companies. New paradigm: data is at the centre of all strategic decisions. Without data there can be no smart decisions.
- • Understand what is a big data system is: Being able to characterise/assess a dataset using threefollowing the 3 criteria: volume, velocity, variety.
Understand features and challenges of AI, Machine Learning and IoT
- • Understand the basics of IoT : Machine To Machine specifications, Heterogeneity of data and protocols (software) and sensors (hardware)
- • Who are the main actors of IoT : Telcos, Gafa, Protocol start-ups.
Navigate through a programming software,
interpret basic coding and write a short coding program
- • Understand basic programming functionalities: open a basic coding, run it, perform basic debugging tasks (Languages : R, Python)
- • Understand basic algorithm functions: CONDITIONAL TESTS (IF, ELSE IF), LOOPS (FOR, WHILE)
