Master of Science

Data Science & Organisational Behaviour

Short Track: 12 months
Regular Track: 18 months​
Dijon
Master of Science
12 months, full-time
Taught in English

Why choose BSB's Master of Science (MSc) Data Science & Organisational Behaviour?

High level programme that enables students to manage data in order to influence behaviour
Programme designed in partnership with PwC Luxembourg, a British international network of companies specialising in auditing, accounting and consulting
The academic portion of the programme relies on the LESSAC (Laboratory for Experimentation in Social Sciences and Behavioural Analysis), our world famous research lab created in 2008
A one-year programme full-time, Taught entirely in English

Why choose the BSB MSc Data Science & Organisational Behaviour?

A programme built in partnership with the prestigious auditing and consulting firm PWC Luxembourg.

There are data in all areas that need to be stored, analyzed, transformed in order to extract useful information. It's the role of data science, of data science. If you like numbers and want to justify your ideas, this course is for you. She will teach you how to base your decisions on empirical data, thus adding a valuable skill, useful in any decision-making process.

The Master of Science (MSc) Data Science & Organisational Behaviour from BSB, a high-level program, trains you to data management applied to the influence of behaviors to allow you to understand how data can be useful at all levels of a company and thus offer you a wide range of career options. This training allows you to understand and change decision making, to process and analyze data within the company.

During this year of specialization, prepare yourself for an experience that is both academic and practical.

An academic background

The MSc Data Science & Organisational Behaviour includes an academic part made up of Theoretical courses And of a experimental research work. BSB provides its students with an Experimental Laboratory in Social Sciences and Behavior Analysis (LESSAC).

By learning the data control, students understand how Data can change decision-making in business and cause, at a high level of expertise, a behavioural change. The specificity of the MSc Data Science & Organisational Behaviour is therefore based on a synergy between rigorous understanding Of the intersection between the data management And the mastery of behavioral tools.

Practical training

This practical training is supported by company visits, including that of PwC Luxembourg, training partner, and intensive workshops.

The program offers a immersion in the professional world across several seminars as well as meetings with professionals in the sector. Students can put their theoretical knowledge into practice duringconcrete case studies On real scenarios confided by partner companies.

The companies that recruited our students

Nos accréditations

Skills developed with the MSc — Data Science & Organisational Behaviour

Future professionals and Data Scientists are trained in particular on:

  • Statistics and data analysis
  • Creating value from data
  • Data communication
  • Data transformation and analysis for decision makers
  • Ethical reasoning

MSc Data Science & Organisational Behaviour Programme

The MSc Data Science & Organisational Behaviour trains future professionals and data scientists in the management of Big Data and Behaviour Change at a high level of expertise.

The specificity of the programme is based on a thorough understanding of the intersection between data management and behavioral tools.

Semestre 1

  • Data Science Methods (intermediate) – Introduction aux langages de la science des données (R et Python) pour le traitement et l'analyse des données
  • SQL & Databases – Conception de bases de données et manipulation de données, Master DDL, DML et DCL
  • Business-Oriented Data Governance – Organisation et gouvernance des données, propriété des données, gestionnaire des données, NLP, nettoyage des données, (VBA), renseignements sur les clients
  • Data General Knowledge – Comprendre la gestion des données dans le processus de la science des données et identifier les technologies et pratiques associées
  • Seminars Series & Partner Class 1 – Cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités et études de cas sur des scénarios d'entreprise réels
  • Applied Information Analysis (intermediate) – Statistiques avec R appliquées à des cas d'OB
  • Behavioural Tools – Concevoir et développer des expériences de prise de décision et d'économie comportementale
  • Behavioural Decision Making & Communication – Outils d'influence, nudges, modèles expérimentaux, éthique de l'IA, intelligence humaine contre intelligence artificielle
  • Enterprise and Realities – Singularité, simulations de chef de projet, analyse des causes profondes (RCA), retour d'expérience

Semestre 2

  • Recent Topics in Data Science – Introduction à l'apprentissage automatique et aux réseaux neuronaux
  • Data Science Methods (Advanced) Applications – Sujets avancés en science des données et en intelligence économique
  • Seminars Series & Partner Class 2 – Des cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités, ainsi que des études de cas sur des scénarios d'entreprise réels, dont les thèmes changent chaque année
  • Behavioural Strategies for Business and Management – À l'intersection de la science des données et des sciences comportementales, ce module analyse plusieurs applications des techniques comportementales dans le monde des affaires. Comment gagner de l'argent en comprenant le comportement ?
  • Applied Information Analysis 2 (Advanced) – Statistiques et économétrie appliquées à l'OB
  • Research Methodology – La spécificité de la thèse professionnelle du MSc est qu'il s'agit d'une conduite de projet en laboratoire, sous supervision étroite et permanente pour la programmation, la conception et les tests, en coordination avec une entreprise
Short Track programme (12 months)​

Semester 1

  • Data Science Methods (intermediate) – Introduction aux langages de la science des données (R et Python) pour le traitement et l'analyse des données
  • SQL & Databases – Conception de bases de données et manipulation de données, Master DDL, DML et DCL
  • Business-Oriented Data Governance – Organisation et gouvernance des données, propriété des données, gestionnaire des données, NLP, nettoyage des données, (VBA), renseignements sur les clients
  • Data General Knowledge – Comprendre la gestion des données dans le processus de la science des données et identifier les technologies et pratiques associées
  • Seminars Series & Partner Class 1 – Cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités et études de cas sur des scénarios d'entreprise réels
  • Applied Information Analysis (intermediate) – Statistiques avec R appliquées à des cas d'OB
  • Behavioural Tools – Concevoir et développer des expériences de prise de décision et d'économie comportementale
  • Behavioural Decision Making & Communication – Outils d'influence, nudges, modèles expérimentaux, éthique de l'IA, intelligence humaine contre intelligence artificielle
  • Enterprise and Realities – Singularité, simulations de chef de projet, analyse des causes profondes (RCA), retour d'expérience

Semester 2

  • Recent Topics in Data Science – Introduction à l'apprentissage automatique et aux réseaux neuronaux
  • Data Science Methods (Advanced) Applications – Sujets avancés en science des données et en intelligence économique
  • Seminars Series & Partner Class 2 – Des cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités, ainsi que des études de cas sur des scénarios d'entreprise réels, dont les thèmes changent chaque année
  • Behavioural Strategies for Business and Management – À l'intersection de la science des données et des sciences comportementales, ce module analyse plusieurs applications des techniques comportementales dans le monde des affaires. Comment gagner de l'argent en comprenant le comportement ?
  • Applied Information Analysis 2 (Advanced) – Statistiques et économétrie appliquées à l'OB
  • Research Methodology – La spécificité de la thèse professionnelle du MSc est qu'il s'agit d'une conduite de projet en laboratoire, sous supervision étroite et permanente pour la programmation, la conception et les tests, en coordination avec une entreprise
Regular Track programme (18 months)​

Technical lessons and creative exercises

Pre-semester for Regular Track

  • Management of Organizations
  • Industrial Organization and Corporate Strategy
  • International Business Environment
  • Quantitative Methods, Principles of Marketing
  • Accounting & Management Control
  • Corporate Finance
  • Elective courses
  • French as a foreign language

The school year, which is taking place from mid-September to the end of June/beginning of July, is divided into two semesters combining technical and creative courses.

Semester 1

  • Data Science Methods (intermediate) – Introduction aux langages de la science des données (R et Python) pour le traitement et l'analyse des données
  • SQL & Databases – Conception de bases de données et manipulation de données, Master DDL, DML et DCL
  • Business-Oriented Data Governance – Organisation et gouvernance des données, propriété des données, gestionnaire des données, NLP, nettoyage des données, (VBA), renseignements sur les clients
  • Data General Knowledge – Comprendre la gestion des données dans le processus de la science des données et identifier les technologies et pratiques associées
  • Seminars Series & Partner Class 1 – Cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités et études de cas sur des scénarios d'entreprise réels
  • Applied Information Analysis (intermediate) – Statistiques avec R appliquées à des cas d'OB
  • Behavioural Tools – Concevoir et développer des expériences de prise de décision et d'économie comportementale
  • Behavioural Decision Making & Communication – Outils d'influence, nudges, modèles expérimentaux, éthique de l'IA, intelligence humaine contre intelligence artificielle
  • Enterprise and Realities – Singularité, simulations de chef de projet, analyse des causes profondes (RCA), retour d'expérience

Semester 2

  • Recent Topics in Data Science – Introduction à l'apprentissage automatique et aux réseaux neuronaux
  • Data Science Methods (Advanced) Applications – Sujets avancés en science des données et en intelligence économique
  • Seminars Series & Partner Class 2 – Des cours dispensés par notre partenaire (PWC Luxembourg) et des chercheurs invités, ainsi que des études de cas sur des scénarios d'entreprise réels, dont les thèmes changent chaque année
  • Behavioural Strategies for Business and Management – À l'intersection de la science des données et des sciences comportementales, ce module analyse plusieurs applications des techniques comportementales dans le monde des affaires. Comment gagner de l'argent en comprenant le comportement ?
  • Applied Information Analysis 2 (Advanced) – Statistiques et économétrie appliquées à l'OB
  • Research Methodology – La spécificité de la thèse professionnelle du MSc est qu'il s'agit d'une conduite de projet en laboratoire, sous supervision étroite et permanente pour la programmation, la conception et les tests, en coordination avec une entreprise

Immersive Field Trips to Industry Hubs

MSc Data Science & Organizational Behaviour: Field Trip to Luxembourg – Hosted by PwC Luxembourg
During the field trip to Luxembourg, students are welcomed by PwC Luxembourg. They have the opportunity to discover the organization, visit its offices, and connect with alumni of the MSc DSOB. Through these exchanges, they discover the wide variety of careers where data is at the heart of business.

The highlight of the visit is the Data Case Challenge, where students work on a real-world data problem and present their solutions in front of a jury of professionals. Some students may also have the opportunity to attend internship interviews.

Beyond professional networking, the trip also offers a chance to explore the city and its international environment.

How to integrate BSB's MSc Data Science & Organisational Behaviour?

Short Track Program (12 months) : an international bachelor's degree in any subject or a French Master 1 (240 ECTS).

To apply, you must fill in an online application form. To learn more about you, your experiences, your interests in BSB and your expectations, you will be asked to record a 30-minute one-way video interview that will take place on a specific platform for our admissions team to view and assess later.

Applications for the start of the 2025 school year are closed.

Apply

Regular Track Program (18 months) : a bachelor degree (B3) in any discipline, non-management B4 or M1 degree.​

To apply send an Email : admissions@bsb-education.com

All our admission requirements can be found in the brochure

What are the opportunities after BSB's MSc Data Science & Organisational Behaviour?

Once you have completed your training, you can occupy pivotal positions between technical and strategic departments.‍

A graduate of the MSc - Data Science & Organisational Behaviour can therefore be recruited as a data analyst, analyst in consultancy firms, marketing manager, management consultant, economist in a bank or financial institution. Some students choose to set up their own business on completion of the course.

The insertion in a few figures
CGE 2024 survey - Master Grande Ecole
85%
of our graduates find a job in less than 4 months
43%
of our graduates have a position with an international dimension
42 to 45k€
Average gross annual salary at the exit in France
48 to 54k €
Average annual gross salary in France with bonuses, 3 years after obtaining the Master Grande École BSB
93%
of our students have graduated
89%
sont satisfaits de la formation reçue à BSB
we are
alumni
BSB'23
Vivek Pandya
Junior Data Analyst
BSB'23
David Binder
Chief Credit and Analytics Officer
BSB'24
Valeriia Danilkina
IT Risk Assurance - Associate
logo pwc

Join the MSc Data Science & Organisational Behaviour on our Dijon campus

MSc — Data Science & Organisational Behaviour students join the BSB campus located in the Dijon city center, easily accessible in public transport (5 minutes by tram from the station).

A stimulating environment

Our campuses are designed to provide a stimulating experience and to prepare for a rich and exciting career.

learning center BSB

What is the tuition fee for the MSc Data Science & Organisational Behaviour?

For the Short Track programme with a start of the school year in September 2026, the tuition fees for the Master of Science Data Science & Organisational Behaviour are €16,500​

For the Regular Track programme with a start of the school year in March 2026, the tuition fees for the Master of Science Data Science & Organisational Behaviour are €27,600​

Find all the details of tuition fees and all the services they include in our brochure.

Additional information

Objectives of the programme

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The Master of Science Data Science & Organisational Behaviour has a unique structure: the academic part is linked to LESSAC, our Laboratory for Experimentation in Social Sciences and Behavior Analysis world-renowned, and the professional component is sponsored by our partner PwC Luxembourg.

This blend of theoretical knowledge and practical experience is reinforced by professional field visits and intensive workshops, allowing you to understand the operations and mechanisms of the modern business world.

The objective of this high-level program is to train you in data management applied to the influence of behaviors, and to understand how data can be useful at all levels of a business, thus offering you a wide range of career options.

Programme evaluation criteria

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Each module is subject to an evaluation that is defined according to the objectives and the skills sought. These evaluations must be most in line with the tasks requested during professional life.

They take place either during or at the end of the module, or at the end of the semester and take different forms:

  • Proof written on a table
  • Individual work in the form of a file
  • Group work
  • Individual or group oral presentation

The final paper is eliminated if a grade of at least 10 is not reached. The program provides 490 hours of courses over the year.

Disability Mission

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Our school is accessible to people with disabilities. BSB pays particular attention to equal opportunities, promoting inclusion and accessibility for all students.

We offer support adapted to each profile: organization of courses and exams, preparation for the international semester, help in your search for internships/apprenticeships, which you can find in detail on the page /of alternations, which you can find in detail on the page Mission disability.

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