Study for 2 years in 2 Countries
International Master Business & Data
Academic Direction & Awarding Bodies





A hands-on school
Albert School was born from the realization that current education does not prepare students to tackle the challenges of the future. In a time of technological revolutions, the skills needed in the workplace are changing, and a switch is needed.
Our courses of excellence are designed in partnership with Mines Paris PSL, the best engineering school of France, to create solid basis on which to build real skills.
At Albert School, we don't just teach, we prepare future leaders for a dynamic, data-driven world. Strap in for a learning experience that's engaging, practical, and engineered for the future. Your journey to becoming an innovator starts here.
Maths, coding & data
Intro to coding
Data mining & visualization
Machine learning 101
Business & finance
Business fundamentals
Financial modelling
Finance for business operations
Business powered by tech
Funnel strategy
Data governance
Workflow automation with no-code
Humanities
Geopolitics
GDPR fundamentals
Responsible AI

Alternance in
the second year
EU students choosing Paris for their second year can choose the “alternance” track, combining an apprenticeship in a company while specializing in:
MSc Data & AI for Business
MSc Data & AI for Finance
MSc Data & AI for Sustainability
Business deep dives
Throughout three intensive weeks, our students work hand in hand with executives from top companies on real life projects
Week 1
Dataset discovery session between company executives and the students
Q&A session
Week 2
Workshop to help the students solve the case with members of the data & business teams of the company
Week 3
Students present the solution to an executive of the company
A winning team is chosen betwee the participating students
Our Business Deep Dive withVenchi
.svg.png)
%20(1).jpg)
Week 1
Students began by immersing themselves in ecommerce best practices, analyzing trends in merchandising and navigation used by leading luxury food and chocolate brands. They mapped out the current landscape and identified innovative approaches to product presentation and site usability.
Week 2
The focus shifted to data-driven insights: teams examined Venchi’s existing website analytics to understand customer journeys, user preferences, and high-performing products in both the US and Europe. They also benchmarked Venchi’s digital storefronts against top competitors to spot strengths, weaknesses, and new opportunities.
Week 3
Armed with research and analytics, teams developed comprehensive redesign proposals—aligning their recommendations with Venchi’s premium brand strategy while ensuring technical feasibility for implementation. Their final presentations delivered clear, practical steps for boosting discoverability, conversion, and average order value across Venchi’s international ecommerce platforms.
Our Business Deep Dive withTalan
.jpg)
Week 1
Students received a briefing from Talan’s HR team and began exploring structured data on past employee departures. Initial work focused on grouping individuals by key attributes and mapping patterns within the organization.
Week 2
With support from Talan mentors, teams built detailed personas to represent different employee segments. Master’s students broadened the research, drawing on insights from professional networking sites, public feedback platforms, and relevant industry data to add depth to their findings.
Week 3
Teams presented their personas and strategic recommendations to Talan’s leadership, focusing on actionable ways to enhance employee experience and foster long-term engagement. The most promising ideas were highlighted for their potential to support a positive workplace culture.
Our Business Deep Dive withCarrefour Spain

Week 1
SStudents received a deep dive briefing from Carrefour Spain’s management, exploring the company’s goals, product lines, and the challenges of launching a new e-commerce platform. Teams began assessing the market landscape and identifying key operational hurdles.
Week 2
With support from Carrefour mentors, teams analyzed pricing models, promotional tactics, and logistical frameworks. Students developed data-backed strategies to optimize costs, improve margins, and maximize customer acquisition.
Week 3
Teams presented their strategic recommendations to Carrefour Spain’s leadership, focusing on actionable plans to enhance profitability, streamline operations, and position the new e-commerce business for long-term success.
Our Business Deep Dive withEbra Events


Week 1
Students received an in-depth briefing from EBRA Events’ leadership, exploring the history, ambitions, and unique challenges of Tech&Fest. They began analyzing participant data from previous years to map out key audience profiles and engagement trends.
Week 2
Guided by EBRA’s marketing team, students developed analytical models to pinpoint the drivers of participant no-shows and identify segments with the highest loyalty potential. Teams brainstormed tailored acquisition and retention strategies for each channel.
Week 3
Teams presented data-backed marketing recommendations to EBRA Events’ management, focusing on actionable tactics to optimize acquisition, minimize no-shows, and foster lasting participant loyalty. The most impactful proposals were selected for further development and implementation.
Our Business Deep Dive withGroupe SEB


Week 1
Students were briefed by Group SEB’s sustainability and data teams, gaining insight into the SBTi framework and the complexities of large-scale environmental commitments. They began exploring four years of operational data and identifying initial trends in carbon emissions.
Week 2
Guided by SEB mentors, teams built analytical models to pinpoint key emission drivers and benchmark progress. They translated data insights into concrete, actionable strategies for reducing the company’s carbon footprint.
Week 3
Teams presented their visualizations and strategic recommendations to a panel of SEB managers and sustainability experts. The winning team stood out for the clarity and impact of their proposals, earning recognition and an invitation to discuss further implementation.
Our Business Deep Dive withCrédit Agricole Indusoez


Week 1
Geneva students received a detailed briefing from Crédit Agricole Indosuez, exploring the bank’s business lines and the dataset covering the top 300 Swiss fortunes over 12 years. Teams began preliminary data exploration and identified key questions for growth.
Week 2
Under the guidance of Indosuez professionals, teams designed analytical frameworks—integrating natural language processing, scoring systems, and relationship mapping. Students translated data findings into strategic business development proposals.
Week 3
Teams presented their digital tools and growth recommendations to a jury of Indosuez managers. The top bachelor team was invited to the bank’s headquarters for a collaborative brainstorming session focused on real-world implementation.
Our Business Deep Dive withUnited Nations OHCHR


Week 1
Geneva students were introduced to HRDx and briefed by UN OHCHR representatives on the platform’s mission and challenges. Teams explored the platform hands-on, familiarizing themselves with its structure and user base.
Week 2
Guided by UN feedback, student teams role-played key user groups—journalists, diplomats, researchers, students—mapping their workflows, stress-testing the platform, and identifying usability pain points. Teams designed and distributed tailored surveys to capture authentic user needs.
Week 3
Students synthesized survey insights and platform analysis into actionable feature suggestions and process improvements. Teams presented their findings and recommendations to a jury of OHCHR staff, with the most impactful and realistic solution recognized as the winning BDD.
Our Business Deep Dive withGoogle

.jpg)
Week 1
Milan students were introduced to the Spanish housing market challenge and met with Google managers to review objectives and key market data.
Week 2
Teams, guided by feedback from Google professionals, built scoring models, analyzed competitor saturation, and estimated acquisition costs using advanced data techniques.
Week 3
Student teams presented their go-to-market strategies and recommendations to a jury of Google managers, with the most impactful solution recognized as the winner.
Our Business Deep Dive withSense Reply


Week 1
Milan students met with Sense Reply experts to explore the fundamentals of energy systems, review electricity consumption datasets, and discuss the objectives of the anomaly detection project.
Week 2
Teams, guided by Sense Reply’s data and business specialists, analyzed complex energy data and developed machine learning models to detect consumption anomalies.
Week 3
Student teams presented their technical solutions and business recommendations to Sense Reply experts and Albert School faculty, with top teams considered for internships and further collaboration.
Our Business Deep Dive withSwissBorg


Week 1
Geneva students were briefed by SwissBorg leaders on key pain points in user onboarding and engagement. Teams explored the platform’s five product lines and began analyzing user data to map the customer journey and identify initial bottlenecks.
Week 2
Teams, supported by SwissBorg’s product and data experts, developed data-driven solutions to streamline onboarding, enhance KYC, and design effective crypto bundling offers.
Week 3
Student teams presented their AI-powered recommendations and bundling strategies to SwissBorg executives, who selected the most promising ideas for further development.
Our Business Deep Dive withGrandir Group


Week 1
Paris students met with Grandir Group executives to review current recruitment data and define key challenges in attracting and selecting top candidates.
Week 2
Teams, supported by Grandir Group’s HR and data experts, designed and tested AI-driven screening algorithms and explored process improvements.
Week 3
Student teams presented their data-driven recommendations and AI tools to Grandir Group executives, who selected the most impactful solutions for implementation.
Our Business Deep Dive withValrhona


Week 1
Geneva and Lyon students met with Valrhona executives to discuss the company’s commercial challenges and review relevant business data.
Week 2
Teams worked together—supported by Valrhona’s data and business experts—to investigate performance drivers and develop recommendations.
Week 3
Student teams presented their analyses and proposed action plans to Valrhona executives, who selected the most promising strategies.
Our Business Deep Dive withCarrefour Voyages
.svg.png)

Week 1
Students met with Carrefour Voyages executives to review agency performance data and discuss the key challenges in achieving agency success.
Week 2
Student teams presented their findings and recommendations to Carrefour Voyages executives on the Paris campus, who selected the most effective strategies.
Week 3
Student teams presented their solutions for optimizing workforce planning to Moncler executives, who selected the most impactful approach.
Our Business Deep Dive withMoncler


Week 1
Students met with Moncler executives on the Milan campus of Albert School to explore the company’s workforce data and understand the challenges of global retail staffing.
Week 2
Teams developed workforce planning strategies, supported by workshops with Moncler’s data and business experts.
Week 3
Student teams presented their solutions for optimizing workforce planning to Moncler executives, who selected the most impactful approach.
Our Business Deep Dive withEdmond De Rothschild


Week 1
After a presentation of the data and a Q&A session, students are tasked with analyzing four Edmond de Rothschild funds' collection performance over the past four years and identifying areas for optimization.
Week 2
Students engage in hands-on analysis, focusing on their assigned fund. With the help of a workshop session, they use this time to explore the factors influencing fund performance and brainstorm strategies for improving collection efficiency.
Week 3
Students pitch their strategies for optimizing fund collections, including targeted recommendations such as focusing on specific regions like Germany. Their proposals are evaluated for effectiveness, and a winning team is chosen.
Our Business Deep Dive withGoogle
.webp)
Week 1
Students are tasked to design a methodology that measures the impact of an omnibidding strategy for a leader in the beauty industry. They start by understanding the client's needs and the available data.
Week 2
Students decide on the best methodology and setup for the test. They delve into the data provided by Google, translating their academic knowledge into practical solutions supported by a workshop organised by the company.
Week 3
Students present their findings and the results of their test, discussing the implications for the business and making strategic recommendations for future steps.
Our Business Deep Dive withLVMH

Week 1
Béatrice Meyer, Retail Business Performance Director and Benoit Ané, Head of Data Science & AI at Louis Vuitton present the mission to students: how can they revitalize the South Korean market?
Week 2
After the exploratory data analysis, Benoît and his team return to Albert School for an in-depth workshop on persona creation, predictive modeling, and sharpening problem-solving strategies.
Week 3
The concluding week is about strategy and communication. Students devise strategic roadmaps to revitalize the South Korean market, presenting their innovative ideas in a succinct, impactful pitch and a winning strategy is selected.
What our partners, business leaders, and educators are saying about us

Ana
My time at Albert School equipped me with practical data analysis skills and an understanding of data-driven marketing strategies. The exceptional instructors and participation in industry hackathons provided real-world insights, and the school helped connect me with companies aligned with my career goals. All the things I learnt have shaped my journey and are significantly helping in my job at LVMH.


Benjamin Apra
I think Albert School addresses a problem I encountered myself when I graduated from the Ecole Polytechnique. I had a very good theoretical grounding, but a total lack of understanding of the business world. Albert School is contributing to a training program that better meets students' expectations and better prepares them for professional life.


Kickstart a career in the ai, business and data world
- Data Scientist
CHF 80k-100k - Strategy Consultant
CHF 80k-150k - Asset Manager
CHF 150k-250k

Kickstart a career in the ai, business and data world
- Data Scientist
€ 50k-90k - Strategy Consultant
€ 50k-90k - Asset Manager
€ 40k-70k

Kickstart a career in the ai, business and data world
- Data Scientist
€ 65k-120k - Strategy Consultant
€ 50k-90k - Asset Manager
€ 40k-75k

Kickstart a career in the ai, business and data world
- Data Scientist
€ 75k-130k - Strategy Consultant
€ 50k-90k - Asset Manager
€ 50k-80k
Where innovation meets tradition
At Albert School, we are proud to partner with Mines Paris, one of France's most prestigious and historically significant engineering schools with whom we deliver joint diplomas.
QS World engineering University Rankings France #1
241
Mines Paris: 241 years of history
15,000
Over 15,000 alumni network worldwide
6
European campuses spanning six cities
Discover more about our Joint Programs with Mines Paris thanks to our events

.png)





.jpg)




























%20(1).avif)















.avif)

.avif)

Meet Us
Want to know more about Albert School?
Our team is here to answer all your questions.

Thank you for contacting us, we will get back to you as soon as possible!
Thank you for contacting us, we will get back to you as soon as possible!
Albert School in the press










