An exclusive programme in Europe, this MSc enables you to understand and modify decision making, and deal with big data in organisations.
The main objective of this programme is to train you to be able to manage large data sets, provide an outstanding opportunity to advance your coding skills, and allow you to implement hardware skills when managing and running a business.
Data Science Methods (intermediate) - Introduction to Data Science languages (R and Python) for data wrangling and analysis.
SQL & Databases - Databases conception and data manipulation, Master DDL, DML and DCL.
Business-Oriented Data Governance - Organisation and data governance, data ownership, data steward, NLP, data cleaning, (VBA), customer intelligence.
Data General Knowledge - Understanding the management of data in the data science process and identify the related technologies and practices.
Seminars Series & Partner Class 1 - Classes by our partner (PWC Luxembourg) and invited researchers and case studies on real business scenarios.
Applied Information Analysis (intermediate) - Statistics with R applied to OB cases.
Behavioural Tools - Designing and developing decision making and behavioural economics experiments.
Behavioural Decision Making & Communication - Influence tools, nudges, experimental designs, AI ethics, human vs. machine intelligence.
Enterprise and Realities - Singularity, project chief simulations, root cause analysis (RCA), feedback.
Recent Topics in Data Science - Introduction to machine learning and neural networks.
Data Science Methods (Advanced) Applications - Advanced topics in data science and business intelligence.
Seminars Series & Partner Class 2 - Classes by our partner (PWC Luxembourg) and invited researchers and case studies on real business scenarios, with topics changing every year.
Behavioural Strategies for Business and Management - At the intersection of data science and behavioural sciences, this module analyses several applications of behavioural techniques into business. How can we make money understanding behaviour?
Applied Information Analysis 2 (Advanced) - Statistics and econometrics applied to OB.
Research Methodology - The specificity of the professional thesis in the MSc is that this is a project lead in the lab, under close and permanent supervision for programming, design and tests, in coordination with a company.
We believe that research is a core activity within a business school, and part of our academic legitimacy relies on our capacity to produce knowledge through research, experimentation, and evaluation. We see research as a great path to learning as it cultivates critical analysis, structuring reasoning, and seeing things from a new, advanced perspective.
Since 2003, we have had our own research centre known as the CEREN (Centre de Recherche sur l'Entreprise) led by the Associate Dean of Knowledge & Transfer. The CEREN brings together all the research activities at BSB.
BSB is the only French business school to have its research centre assessed by the prestigious HCERES, which is the national independent administrative authority that evaluates research units.
The research work carried out in the CEREN aims to promote models of organisation and governance that can enhance and regenerate their ecosystems based on the concepts of social and societal responsibility, ethics, sustainability and diversity.
100% English taught
Small class size
September to July
Applicants should have a non-French Bachelor’s degree (3 or 4 years) or 240 ECTS in mathematics, statistics, economy, engineering, business, psychology or equivalent subject.
Tuition fees for the MSc Data Science & Organisational Behaviour is €14,000. This rate is guaranteed throughout your course and is all-inclusive covering tuition, academic support, campus facilities, conferences and field trips.
For the September 2023 intake we are offering 29 merit-based scholarships for talented students coming from all around the world.
The sooner you apply, the greater your chances
80% of the scholarships will be distributed proportionately from the 15th of December 2022 to the 15th of April 2023 throughout a monthly assessment made by International Development Division. The residual 20% will be allocated between the 15th of April to the 15th of June on a rolling basis.
Calendar of scholarships will be as follows:
We help you become an expert in the intersection between management, data science and behaviour. Upon graduation, you will be able to put into practise effective tools to understand and modify decision making, conduct detailed research, and deal with big data in large multinationals or government organisations.
Career opportunities include:
Business Intelligence & Data Visualisation Designer
BSB class of 2019
Regional Client Relationship Manager
BSB class of 2019
BSB class of 2019
Risk Assurance Associate
BSB class of 2019
As a BSB student, you will receive expert career services equipping you with tools and confidence you'll need to achieve the best professional positions.
Our Career Booster Department offers you:
At BSB, we offer the coaching and support you need to help you excel during your time with us
and find your purpose to fulfil your role in society, in your community and in a company or organisation.