Course Content

The Bachelor of Arts & Science in “Data, Society & Organisations” is a double program lasting three years and focused on data science applied to the fields of society and organisations. This program of interdisciplinary excellence is designed to respond to the new challenges of our society.  

This program gained its inspiration from current and future needs identified within the public and private sectors. The Bachelor offers students a rigorous path that integrates two complementary areas: the interdisciplinary development of computer science and mathematics skills, as well as an in-depth understanding of the social issues necessary for the analysis and relevance of data. This approach makes it possible to understand the major challenges linked to the collection and use of data in fields such as economics, sociology, law, public affairs and management (environmental transition, health, education, justice, social, etc.) and develop entrepreneurial methods to solve the key societal and organisational challenges.

This program will enable you to :

• Develop fluency in data sciences (mathematics, data, AI)
• Gain a deeper understanding of behavioral and social sciences 
• Acquire applied skills in management
• Develop problem-solving and analytical skills
• Design concrete solutions for societal and organisational challenges
• Specialize in a specific area (Law & Justice, Democracy, Governance & Public Policy, Sustainability Transition or Management & Organisations)
   

• Quizzes
• Short problems 
• Case studies
• Role-playing games
• Action projects 
• Capstone projects/data challenges

• Exams
• Continuous evaluation (quizzes, case studies, presentations, etc.)
• Capstone project (data challenges) deliverables

SEMESTER 1

• Economics (Module I - Consumer Behavior and Firms)
• Comparative Public Law and Regulation
• Politics & Public Sector
• Quantitative Methods for Social Sciences (Module I – Mathematics for Social Sciences)
• Coding and Data Visualization in Python

SEMESTER 2

• Economics (Module II - Macro-Economic Governance)
• Global History and Affairs
• Machine Learning (Module I - Introduction)
• Quantitative Methods for Social Sciences (Module II - Data Analytics)
• Foreign Language I

SEMESTER 1 : Bocconi

• Governance of Digital Technologies in Public and Private Sector
• Social Transformations
• Social Media and Democracy
• Machine Learning (Module II – Deep Learning)  
   

SEMESTER 2 : HEC Paris

• Business Analytics & Data Modelling
• European Governance
• Behavioral and Cognitive Science
• Introduction to Ethics and Philosophy of AI and Technology 
• Foreign Language II

SEMESTER 1      

1 Mandatory Course

• Climate Change and Sustainability

1 Elective Course among: 

• Contract and Business Law
• Financial Accounting
• Financial Economics and Markets

2 Modules for Preparing Capstone and Dissertation: 

• Entrepreneurial Management Methods for Addressing Challenges
• Introduction to Research Methods    

 4 Courses in your 2 Chosen Pathways

  Pathways are chosen among:

• Law and Justice
• Democracy, Governance and Public Policy
• Sustainability Transition
• Management & Organisations

SEMESTER 2

• Capstone Project / Data Challenge : Conducting a team project by applying data science to social or business challenges partnered with public or private organisations. Includes advising by a mentor and final presentation to a Board of stakeholders. 
   
• 1 Field Work ( Academy) offering a concentration in applied skills
• 2 Courses in your 2 Chosen Pathways​​​​​ 
• Dissertation / Final Paper:
  • Students must write an essay on a topic related to the Capstone project, including literature review, hypotheses development, empirical study and conclusion.