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 (machine learning, AI, data,)
• 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
• Start to specialize in specific areas (Law, Tech & Society; Governance & Public Policy; Business & Management; Accounting & Finance)
   

• Quizzes and short problems 
• Case studies
• Simulations and role-playing games
• Learning-by-doing: group projects, capstone project / data challenge

• Exams
• Continuous assessment (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

Consult the core courses catalog

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, Tech & Society
• Governance & Public Policy 
• Business & Management 
• Accounting & Finance  

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 multiple presentations to a Board of stakeholders. 
   
• 1  Academy offering a blend of tech and business-related topics.
• 2 Courses in your 2 Chosen Pathways.​​​​​
• Bachelor Thesis (at Bocconi)
  • Students must write a dissertation/Bachelor thesis with the supervision of a faculty member at Bocconi.
• Reflexive Capstone Paper (at HEC Paris)
  • Students must write an essay related to their Capstone Project, including relevant literature review and reflecting on their capstone groupwork experience.