Bachelor

BSc in Data Science for Responsible Business

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A Bachelor program that prepares you for operational management with an innovative pedagogy that combines fundamental courses, group work and internships in an international environment

Curriculum
Campus
Lyon
Duration
4 years
Curriculum
Language
French or English
Intake
September (onsite)

Presentation

 

The BSc in Data Science for Responsible Business is a 4-year undergraduate program, conferring the state-approved Grade de Licence. Developed by emlyon business school and École Centrale de Lyon, this program combines excellence in data science, artificial intelligence and management, with a strong ethical and sustainable dimension. 

Designed to meet the current challenges facing businesses and society, this bachelor's degree trains hybrid profiles capable of driving digital transformation responsibly. Upon completion of the program, graduates can enrol on the best master's programs or start a career in rapidly evolving sectors. 

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Tea Huskovic / Angélique Chevalier
Program Advisor

Key figures

2nd school in France
Global Employability University Ranking
THE 2025 - emlyon business school
Top 1% of business school woldwide
Accreditated AACS, EQUIS, AMBA
emlyon business school
+300 articles per year
in international scientific journals
Ecole Centrale de Lyon

Key goals of the BSc in Data Science for Responsible Business

  • Become an expert in data and AI
    Acquire cutting-edge technical expertise to meet digital challenges
     
  • Combine data science and management
    Develop dual technical and managerial skills to steer projects with a positive impact and meet market needs
     
  • Open up to the world 
    Study in an international environment with an exchange semester and teaching in English
Preview image for the gge video "emlyon business school - Bachelor of Science in Data Science for Responsible (BSc)".

Program

Master data science and AI for more responsible and sustainable development.

 

The BSc in Data Science for Responsible Business provides an immersive and progressive learning experience built around real-world projects, international collaborations and close proximity to the professional world. Each year of the program is designed to develop autonomy, critical thinking and the ability to address on complex issues at the intersection of technology, human sciences and ethics.

Students benefit from high-level training in data science, while exploring the challenges of responsible management and ethical artificial intelligence. Thanks to the partnership between emlyon business school and Ecole Centrale de Lyon, students evolve in environment of academic excellence, and build a profile that is in high demand and capable of creating sustainable value within organizations.

Year 1 

Mathematics & Computer Science Fundamentals / Fundamentals of Responsible Business 

  • Calculus 1 (real analysis, linear algebra)
  • Probability
  • Fundamentals of Computer Programming
  • Fundamentals of Computer Algorithmics
  • Calculus 2 (multivariate calculus, optimization)
  • Statistics
  • Introduction to Data Analysis
  • Introduction to Management
  • Introduction to Economics
  • Sustainable Project Management

 

Year 2 

Data Science / Technologies of AI / Business Practice / Corporate Social Responsibility 

  • Numerical Methods for Optimization
  • Statistical Learning
  • Machine Learning for Business
  • CSR & AI for Society
  • AI Culture
  • Big Data
  • Deep Learning
  • Agile Software Engineering
  • Web & AI Tools
  • Marketing & Managerial Finance 

Year 3 
 

Advance Language Models / Modern Trends in AI / Digital Business / Corporate Laws 

  • AI Responsible Mission 1
  • Natural Language Processing
  • Modern Trends in AI
  • NLP & NLU for Business
  • Digital Advances for Business
  • Digital Marketing and Personalization for Brand Management
  • Deep Learning Projects
  • Organizational Behaviour & Strategy
  • Responsible Algorithmics
  • Corporate Law
     

Year 4 

Research Mission / Tech Seminars / Innovation / Human & Machine Cognition 

  • AI Responsible Mission 2
  • Tech Workshop Series
  • Research Mission - Techno Watch
  • Managing Innovation
  • Machine & Human Cognition
  • Licence Thesis 

 

Assessment methods

Assessment methods may include case studies, presentations, mock exercises, tests, etc.

 

AI Responsible Missions

Years 3 and 4 are mainly project oriented around AI Responsible Missions with 3 tracks structured as follow: 

  • 4 months project work (spring term, Year 3)
  • 3 months internship (summer term, Year 3)
  • 4 months project work (fall term, Year 4)

Data Scientist Track 

Students work in partnership with a company on a full scale data science project during a year, join the company during their Summer internship, and deliver their solution to the company. 

Research Track

Students work in partnership with a research project tutored by a researcher. They join the lab during their summer internship, and deliver their solution to the company. 

Entrepreneurship Track 

Students are trained and supported by the incubators of emlyon business school and Ecole Centrale de Lyon yo start their own businesses. They work full time developing their company during their summer internship

BSc_Data_Science_emlyon_structure_programme

Eligible profiles to the BSc in Data Science for Responsible Business

This Data Science degree targets high-potential students and delivers a hybrid advanced training in data science and management to fill a gap in organizations, and meet their need for responsible and enlightened AI experts. 

The pedagogy of this data science program is applied and action oriented (group and individual projects, business games, flipped classrooms, etc). You will learn the best professional practices of AI and get a real know-how of data science through concrete business projects and responsible AI missions within companies, organizations, and research labs. Students will be evaluated all year long, on different courses and projects. 

This program is eligible for VAE (APEL: accreditations of prior experiential learning), find all the information on em-lyon.com

Career

Graduates from this data science program will learn from renowned organizations and companies, talented professionals and featured speakers from all over the world.

Graduates will seek positions as : 

  • AI Project Leader
  • Data Scientist
  • AI Consultant
  • Data Analyst / Big Data Analyst

They can work in all sectors of activities: tech, banking, industry, e-commerce, energy, transport, telecommunications, etc. 

As a student of the BSc in Data Science for Responsible Business, you will benefit from a dedicated career track which will include workshops, expert panels, fairs, events, etc. 

The Career Center provides continual support in identifying career goals and developping action plans. Program-specific careers services include:

  • Workshop: Careers workshops help you prepare for your internship search and future career. Self-assessment tools and individual coaching provide you with the opportunity to prepare your next move into a career in the data science.
     
  • Tools: Our wide range of career tools help you find out more information on partner companies and sector specific resources, including databases with internship and job offers
     
  • Events: Over 300 companies visit emlyon business school campuses each year and provide students with continuous access to the business world (finance careers days, vocation days, jobs to change the world, "career talks by..." & "learning from alumni")

As a future graduate, you will hold lifelong membership of emlyon business school alumni network, a network of near to 48,000 alumni covering more than 130 countries.
You will benefit from all services it offers, including the online assessment modules. Its members will help you further develop your career regardless of which stage you are at, by providing you with career development information, exchange business information with you and share their experience for you to build on.

Job placement statistics for our recent graduates 


Data not available, first intake in Septembre 2023

Admission

Want to know how to join the BSc in Data Science for Responsible?


Students holding, or soon to hold, a French Baccalaureat must apply via the Parcoursup procedure.


Selection for the BSc Data Science for Responsible Business is competitive and follow a full online admission process. 

You are first evaluated on the content and quality of your High School course work, your grades, your English proficiency. After successfully submitting your application online, you will then take an online admission test. 

Selection sessions for the academic year 2025-2026 are organized from November 2025 to July 2026 (subject to availability).

  • Admission to the 1st year: 

    For students in their final year studying for their High School certificate, for the IB or "National Baccalauréat", or for an equivalent certificate. 
     
  • Admission to the 2nd year:

    For students currently completing a 1st year of university studies(to be validated by 60 ECTS credits) or a diploma certifying one year of successful study at a higher level and issued by an official higher education instituion. 
     
  • Admission to the 3rd year:

    For students currently completing a 2nd year of university studies (to be validated by 120 ECTS credits) or holding a diploma certifying two successful years of higher education issued by an official educational institution in an undergraduate program in mathematics, computer science, or engineering.

This program is eligible for VAE (APEL: accreditation of prior experiential learning), find all the information on em-lyon.com

Step 1: Your application file

Mandatory documents (all the documents provided need to be in English or French - except passport and identity card):

  • A resume
  • A copy of an official valid identity card or passport
  • A certified copy of your most recent academic degree
  • A proof of enrollment statement for applicants currently enrolled in higher education
  • A certified copy of your transcripts from the first year of high school until now
     

Step 2: Your digital test and online interview

  • Part 1: cognitive test
    You have to solve a series of logic reasoning tests (for instance, domino test).
     
  • Part 2: mathematics test
    You have 30 minutes to answer as many questions as possible (for instance, primitive or derivative computations, limit of a sequence, extrema of a function, polynomial roots, probability and number theory puzzles, etc.)
     
  • Part 3: deferred video interview 
    This is a video differed interview. You are filmed while answering questions displayed on your screen. You have 15 seconds to read each question and limited time is set for each answer.
     

Step 3: Eligibility Board 

The admission jury meets on a monthly basis after the receipt of the test scores; members of the jury analyze the results and decide on the eligibility of each candidate
 

Step 4: Individual video interview 

Candidates who have met the eligibility requirements will be invited to an individual interview with a member of the emlyon or Ecole Centrale Lyon panel.
 

Step 5: Admission Results

The Admissions Board will fully review your application and will decide on your admission. You will receive an email as soon as possible to inform you that results are available on your candidate area.
 

Admissions sessions are organized from November 2025 to July 2026.

To learn more about our admission procedures and apply online, create your account.
Candidates who hold a "French Baccalaureat" must submit their applications through the French competitive exam procedure: concours SESAME

Application Fees

Applications for the 2025-2026 academic year will be open from early Novembre 2025 to July 2026 (subject to availability). The non-refundable application fee is €60 (payment only online by credit card when submitting your application)

Financing

The BSc in Data Science for Responsible Business is a 4-year post-baccalaureate program. Admission is possible in 1st, 2nd and 3rd year.

Tuition fees for this program are €14,650 per year, i.e for admission in 

  • 1st year: 
    €14,200 per year (€14,200 tuition fee + €450 general management fee), i.e over 4 years a total of €14,650 x 4 = €58,600 
     
  • 2nd year
    €14,200 per year (€14,200 tuition fee + €450 general management fee), i.e over 3 years a total of €14,650 x 3 = €43,950 
     
  • 3rd year
    €14,200 per year (€14,200 tuition fee + €450 general management fee), i.e over 2 years a total of €14,650 x 2 = €23,300 
     

The tuition and fee charges are in effect for the 2024-2025 academic year and are subject to change for future years. These tuition fees include non-refundable registration fees, administrative fees, lifetime membership of the emlyon business school alumni network and, where applicable, teaching fees relating to academic exchanges. 
Tuition and related fees may be increased each year and are therefore subject to change. 

emlyon and École Centrale de Lyon Scholarships

As socially responsible organizations, emlyon business school and École Centrale de Lyon help students to finance their BSc in Data Science for Responsible Business by offering up scholarships to qualifying students. These scholarships are limited in number, so we advise you to contact your program advisor as soon as possible to discuss your eligibility.

Tuition fees discounts for early bird applicants

emlyon waives a discount of the tuition fees for the admitted international students applying within the first admission session
 

State Scholarships 

Some countries offer specific scholarships to their nationals. We advise you to contact your dedicated governmental entities or organizations or to visit the Campus France Bourse catalogue website. 
 

Other grants and aids

  • Prodigy Finance loan: non-French applicants for the BSc in Data Science for Responsible Business are now eligible to apply for a student loan from Prodigy Finance.
    Find more information about financial aid as well as other useful information for international students in France here. 
     
  • Banking Partners: You may obtain a bank loan through emlyon business school financial parnets only if you have a fiscal warrantor in France. If not, we advise you to obtain a loan in your country of origin before your arrival. 

Mobility Scholarship from the Rhône-Alpes Region - EXPLO'RA SUP scholarships

These scolarships may help you to finance your internships abroad (minimum of 4 weeks) or your exchange programs abroad (minimum of 8 weeks) with emlyon business school partners Universities. 

Please note: the BSc in Data Science for Responsible Business is not eligible for neither the CROUS scholarships nor the following financing schemes: FAFSA, FONGECIF, DIF, CPF or other funding from France Travail (ex Pôle Emploi). For further information regarding potential state scholarships, we recommend you to contact your region or your department as some of them have specific scholarships available for students going to another department in France to study:
Get to know more here

Disability initiative

You will find the welcome guide and all the information on how we welcome and support our students and participants with disabilities here 

FAQ 

A Bachelor of Science in Data Science is a data science degree that equips students with a strong foundation in mathematics, statistics, computer science, and data analysis. This science in data program is designed to teach students how to extract insights from large datasets, apply machine learning techniques, and make data-driven decisions across various industries. Graduates with a bachelor of science in this field are prepared for roles in tech, finance, healthcare, and more.

With a bachelor's degree in data science, graduates can pursue a wide range of jobs such as data science, junior data analyst, or business data analyst. These positions involve analyzing data trends, building predictive models, and helping companies make strategic decisions. A BSc provides the technical and analytical skills required to enter the fast-growing data sector.

The average base salary for data scientists varies depending on experience, location, and industry, but it typically ranges from $85,000 to $120,000 per year in the U.S. Entry-level job salaries may strts around $70,000, while experienced professionals can earn significantly more. Overall, the salary prospects for data scientists remain high due to strong demand in the tech and business sectors. In Europe, the salary for data scientists varies by country, experience level, and industry. On average, the base salary for entry-level data scientists may starts aroung €35,000 to €45,000 per year. With a few years of experience, mid-level professionals may earn between €50,000 and €70,000, while senior data scientists may reach €80,000 to €100,000+ annually, especially in tech hubs like Germany, France, the Netherlands, and the UK. Salaries also depends on the specific job title, such as machine learning engineer or AI specialist, and the size of the company. Overall, Europe offers competitive compensation aligned with the growing demand for skilled data professionals.

Many top universities and business schools now offer specialized data science degrees at the undergraduate and graduate levels. Programs can be found worldwide, often housed within schools of engineering, computer science, or business schools like emlyon. These institutions provide comprehensive training in both technical and applied aspects of data science to prepare students for the global job market.

After earning a Bachelor of Science in Data Science, you can pursue a wide range of opportunities across industries. Many graduates begin careers as data analysts, data scientists, or business intelligence analysts, helping organizations make data-driven decisions. You can also specialize further by becoming a machine learning engineer, AI consultant, or data engineer. Alternatively, some choose to continue their studies with a master of increase their job prospects. This degree opens doors in field like tech, finance, healthcare, and marketing, making it a strong foundation for a future in data-driven innovation.

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