BSc AIDAMS ESSEC & CentraleSupélec - Applying with an international High School diploma

YEAR 1

YEAR 2

Fall

Host campus
CentraleSupélec - Saclay*

Host campus
CentraleSupélec - Saclay*

Spring

Host campus
ESSEC Business School - Cergy*

Host campus
ESSEC Business School - Cergy*

Summer

Internship - 3 months

YEAR 3

YEAR 4

Fall

Host campus
ESSEC Business School - Cergy*

Corporate Research Project

Host campus
CentraleSupélec - Saclay*

Spring

International Exchange (Business or Engineering)
Thesis

Internship - 6 months

Summer

Research work in the field of specialisation

First Year

Second Year

Introduction and consolidation of knowledge and fundamental skills.

• Revise and acquire the fundamentals of mathematics, coding, economics & management, statistics, and technology necessary to successfully study the following subjects.
• Know how to define and identify challenges and opportunities through data analysis, as well as issues in social and behavioural sciences.

Consolidate core knowledge and develop skills in data science and business analytics.

• Leading technologies and tools in AI and data science. Manage programming, database, machine learning, and big data.
• Apply statistics and mathematics to problem-solving and data analysis.

Third Year

Four Year

Introduce AI and reinforce modelling competencies in relation to management science and the corporate world.

• Being conscious of realworld challenges and opportunities in the economy and environment using the technologies and gaining an international perspective.

Finalize your experience and build your expertise through applied research and professionalisation.

MANAGERIAL DISCIPLINES *

Core Management courses to understand companies
• Marketing, Organisational Behaviour, Financial Accounting, Corporate Finance, Operations Management

Economics as a tool for modelling
• Micro, Macro, Network & Digital economics

Business Analytics to understand how companies benefit from data & AI
• Econometrics, Forecasting, Business Data Science, Decision Analysis, Business intelligence, Excel & digital tools, Data Visualization & Design

Management & Governance of Data & Technology
• IS/IT management, AI strategy, Data law & Intellectual Property, Ethics

Humanities & understanding of society
• Society & Geopolitics, Philosophy of Science, Negotiation, Responsible Leadership, Climate and energy transition, Intercultural management, Knowing oneself and teamwork, Entrepreneurship, Diversity

Business English

ENGINEERING DISCIPLINES *

Maths
• Mathematics for Data Analysis, Engineering & Management;
• Probability and Statistics for Data Analysis & Management;
• Optimization and Machine Learning methodology

Computer science
• Identify requirements and formalize problems to design and implement innovative algorithms;
• Discover opportunities of technologies and processes;
• Develop changes in techniques for Sustainable Business In Society

Data science
• Understand and analyze data to explore and influence digital markets and society;
• Identify useful tools in data panorama to support decisions and strategic processes in companies;
• Use data in the strategic decisions

AI
• Apply AI techniques to overcome computational complexity of algorithms and problems;
• Handle and recognize useful and innovative Artificial Intelligence techniques in specific use cases