MSc Data Science & AI for Strategy (2 years)
Two years, two cities: Madrid, then Paris in apprenticeship. Learn Data Science and Artificial Intelligence, then use them to decide and deliver strategy in consulting, corporate development, M&A and transformation.
year 2 in Paris, in apprenticeship
or Transformation & Growth
Our partners
A master for people who want to work with data and AI, and use them to shape strategy
For students with a 3-year bachelor who want data and AI skills, then a year of work experience in Paris.
- Graduates of a 3-year bachelorBusiness, economics, engineering, law or science: add Data Science & AI and a strategy toolkit to your degree.
- Students who want an international experienceA year in Madrid, then a year in a company in Paris, through apprenticeship.
Degree
At least 180 ECTS: a 3-year bachelor or equivalent.
Who can apply
Students from the European Union, and international students with a valid student visa.
Not from a technical background?
No coding experience is needed to join. You start in a group at your level: Entry begins with the first line of Python, Intermediate builds applied machine learning, and Advanced goes up to generative AI.
One year of courses, one year in apprenticeship
You study in Madrid for a year, with Data Science & AI and a strategy track. Then you move to Paris and learn on the job, alternating between school and a company.
- 01Year 1 · 30 ECTS
Semester 1 · Madrid
Data Science & AI at your level, plus Business Deep Dives and career coaching.
Python Fundamentals & Development Environment · Applied ML · Generative AI I · MLOps & Model Deployment
- 02Year 1 · 30 ECTS
Semester 2 · Madrid
Choose your track: Finance & Corporate Strategy or Transformation & Growth Strategy.
Finance & Corporate Strategy: Business Valuation · M&A Advisory · Corporate Strategy & Business Models Transformation & Growth Strategy: AI Transformation Strategies · Revenue Strategy & Go-to-Market AI · Pricing Strategy & Revenue Optimisation
- 03Year 2 · 60 ECTS
Paris, in apprenticeship
Master 2 in Paris, alternating between school and a company. Advanced Data & AI and AI transformation.
AI Transformation Strategies · Causal Inference & Experimentation · Agentic Workflows · Responsible AI
Real strategy problems, real companies in Madrid
In 3-week sprints on campus, teams take on a challenge set by a partner company, work with its data and its experts, and present their solution to its executives. It puts you in front of the companies that hire, and opens job opportunities.
BCG, a partner of the school in Madrid
BCG is a partner of Albert School in Madrid and is closely involved in the coaching, mentoring and Business Deep Dives of our students.
- 01
Week 1 · Challenge discovery
Company executives present the business challenge and share real data. You question them, explore the data and frame the problem.
- 02
Week 2 · Solution building
Your team builds its solution in a dedicated workshop, with guidance from the company’s data and business experts.
- 03
Week 3 · Final pitch
Teams present to company executives, most often at the company’s offices. The company selects the winning team.
How can AI transform non-technical university degrees?
Teams mapped which disciplines benefit from AI, the skills gaps and the barriers to adoption, then designed AI-enabled learning models and roadmaps for universities to 2030.
Launching a new e-commerce business line
Students analyzed the competitive landscape, operating costs and pricing, and recommended how to optimize pricing, promotions and logistics for a profitable online platform.
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Employee experience and retention, from exit data
Students built personas of former employees from structured data, then proposed targeted recommendations for engagement and retention in Talan’s HR strategy.
Keeping driver prices in check on a ride platform
Students analyzed what drives driver price inflation on a two-sided mobility marketplace, built a predictive pricing model from historical ride data and designed incentives to control subsidy costs without hurting service quality.
Start where you are. Learn data science and build real AI.
We build learning groups by background, so the content and the pace fit you. Complete beginners start from the first line of Python. Students who already code move straight to applied machine learning. The most advanced groups work on generative AI, deep learning and reinforcement learning.
Entry
For whom
Business, economics, law or any non-technical degree. No prior coding experience is expected.
Example courses
- Python Fundamentals & Development Environment
- SQL & Business Intelligence
- Statistics & Probability for Data Science
- ML for Business: Landscape, Methodology & Evaluation
Intermediate
For whom
You code a little and want to go from scripts to models that run in a company.
Example courses
- Applied ML: Foundations, Engineering & Evaluation
- Neural Networks & Deep Learning Foundations
- LLM Fundamentals: Prompting & API Integration
- Generative AI I
Advanced
For whom
Engineers, scientists and graduates who already build models and want to go further.
Example courses
- Generative AI I & II
- Deep Learning for Sequential Data and NLP
- Reinforcement Learning
- Graph Analytics
Choose your track: Finance & Corporate Strategy or Transformation & Growth Strategy
Semester 1 is Data Science & AI for everyone. Semester 2 is the strategy semester: you choose between deciding a company’s strategy and delivering it. Both tracks share Business Deep Dives and Career Coaching.
Finance & Corporate Strategy
For whom
You want to decide where a company competes, what it is worth and where it invests, as an adviser or from inside the company.
Semester 2 courses
- Business Valuation
- M&A Advisory
- Corporate Financial Analysis & Value Creation
- Corporate Strategy & Business Models
- Strategic Analytics & Decision Intelligence
Roles it prepares for
- Strategy consultant
- Corporate development or M&A analyst
- Corporate finance analyst
- Investment or venture capital analyst
- Finance & strategy associate in a tech company
Transformation & Growth Strategy
For whom
You want to turn strategy into results: use data and AI to grow revenue, launch AI products and change how a company operates, in a corporation or a scale-up.
Semester 2 courses
- AI Transformation Strategies
- AI for Strategy: From Insight to Action
- Revenue Strategy & Go-to-Market AI
- Pricing Strategy & Revenue Optimisation
- Data & AI Product: From Diagnosis to Delivery
Roles it prepares for
- AI & transformation consultant
- Growth & go-to-market analyst
- Pricing & revenue analyst
- AI product analyst
- Strategy & operations (BizOps) associate
Not sure which track fits you?
Answer 5 questions about what you enjoy and where you see yourself working, and we will suggest a track. You do not have to choose before applying: you pick your track after, when you register.
What you will study
A Data Science & AI semester for everyone, then a strategy semester in the track you choose. A selection of the courses:
01 Data science & machine learning
Every student takes the Data & AI core: Business Machine Learning, Supervised ML Engineering & Advanced Modelling, Applied Statistics & Econometrics for Business, Causal Inference & Experimental Methods, Data Engineering & Cloud Infrastructure, Data Ethics, Governance & Responsible AI and MLOps & Model Deployment. Your level then adds Python and SQL foundations, applied machine learning, neural networks, deep learning for NLP, reinforcement learning or graph analytics.
02 Generative AI, LLMs & agents
Generative AI I & II and LLM Fundamentals: Prompting & API Integration. You learn to prompt and integrate LLMs through their APIs, to manage context (what a model sees, remembers and retrieves), to engineer the harness around a model (tools, memory, guardrails and evaluation), and to build agentic workflows that plan and carry out multi-step tasks.
03 Finance & Corporate Strategy
Finance: Corporate Financial Analysis & Value Creation, Business Valuation, M&A Advisory, Capital Structure & Financing Decisions, Finance for AI & Tech Ventures and Data Analytics for Business Audit. Corporate strategy: Strategic Analysis & Competitive Intelligence, Corporate Strategy & Business Models, Strategy Execution & Performance Management, Strategic Analytics & Decision Intelligence and ESG Strategy & Responsible Business.
04 Transformation & Growth Strategy
Transformation: AI Transformation Strategies, AI for Strategy: From Insight to Action, Organisational Design & Cross-Cultural Execution, Project Manager 101, Data & AI Product: From Diagnosis to Delivery, Operating AI Systems at Scale and Supply Chain Strategy & AI. Growth: AI-Powered Marketing Strategy, Demand Sensing & Market Intelligence, Demand Intelligence & Revenue Analytics, Revenue Strategy & Go-to-Market AI, Pricing Strategy & Revenue Optimisation, Monetizing Data & AI and Corporate Entrepreneurship & Innovation Finance.
05 Business Deep Dives & Career Coaching
Business Deep Dives are 3-week sprints with partner companies, each semester. Career Coaching runs alongside the courses to prepare your internship and job search.
An international career in strategy, finance and tech
The job market for strategy talent who also speak data and AI is international. Each role below is tied to the courses that prepare you for it.
Secured a job before finishing the program
(Albert School 2026 data)
Where graduates go
Strategy consulting
Advise companies on strategy, with data and AI in the toolkit.
Corporations & scale-ups
AI, transformation, growth and operations roles, in large companies and fast-growing ones.
Corporate strategy & M&A
Corporate development, M&A and strategic planning inside large groups.
Venture capital & investment
Assess, value and back tech companies.
Strategy consultant
Structure a client problem, size a market, test the numbers. Strategic Analysis & Competitive Intelligence, Corporate Strategy & Business Models, Strategic Analytics & Decision Intelligence.
Corporate development & M&A analyst
Find, value and negotiate acquisitions. Business Valuation, M&A Advisory, Capital Structure & Financing Decisions.
Corporate finance & investment analyst
Assess companies, from the inside or as an investor, including venture capital. Corporate Financial Analysis & Value Creation, Finance for AI & Tech Ventures, Data Analytics for Business Audit.
AI & transformation consultant
Help a company decide where AI creates value and change how it operates. AI Transformation Strategies, AI for Strategy: From Insight to Action, Organisational Design & Cross-Cultural Execution.
Growth, go-to-market & pricing analyst
Forecast demand, price and launch in new markets. Revenue Strategy & Go-to-Market AI, Pricing Strategy & Revenue Optimisation, Demand Sensing & Market Intelligence.
AI product & strategy-operations associate
Turn strategy into products and operations that work. Data & AI Product: From Diagnosis to Delivery, Operating AI Systems at Scale, Project Manager 101.
Study in Madrid, where tech, consulting and retail meet
Business Deep Dives with companies in Madrid
Amazon AWS, Carrefour, Talan, Sixt, Clarity AI and PropHero take part.
Central campus
P.º de la Castellana, 93, Tetuán. Metro Santiago Bernabéu and Nuevos Ministerios.
Taught in English
An international classroom, in one of Europe’s most dynamic business cities.
Regularly ranked among Europe’s best cities for student life, Madrid offers a blend of global diversity, historic neighborhoods and innovation. The city’s tech, consulting and retail sectors are the setting for the Business Deep Dives.
Discover the Madrid campus →
Application: three steps to join the program
Your transcripts matter, but the interview is where we see how you think, beyond what you have studied.
- Applications for the 2027 intake are open
- Start: September 2027
Upload your transcripts, resume and motivation letter.
A conversation about your fit with the program and your motivation, followed by a short exercise on how you reason.
What you graduate with
A joint diploma: you graduate from Albert School and Mines Paris – PSL.
MSc Data Science & AI for Strategy
A joint Master of Science that combines real data science and AI skills with the strategy toolkit companies look for. You graduate from Albert School and Mines Paris – PSL, with the Grade de Master (by decree of 3 March 2026, Mines Paris – PSL, in partnership with Albert School, is authorized to award it to its Master of Science). 120 ECTS across two cities: 60 in Madrid, then 60 in Paris, in apprenticeship.
About the joint diploma →
Tuition & Financing
See the full cost of the program and the payment plans or financing options that can help cover it.
View fees →Frequently asked questions: MSc Data Science & AI for Strategy (2 years)
How is the 2-year MSc organized?
Year 1 is in Madrid (60 ECTS, two semesters). Year 2 is in Paris (60 ECTS), in apprenticeship. You choose this route when you enrol.
How does the apprenticeship in Paris work?
You alternate between school and a company in Paris. If you do not find an apprenticeship, you can do an internship instead, with tuition fees. Either an apprenticeship or an internship is required to obtain the diploma, and this is written in your contract from day one.
Do I need to know how to code?
No. Semester 1 offers Data Science & AI at three levels (Entry, Intermediate, Advanced). At Entry, Python, SQL and statistics start from scratch.
Who can apply to the 2-year route?
Students with at least 180 ECTS, such as graduates of a 3-year bachelor. Students from the European Union can apply, as can international students with a valid student visa.
What diploma will I receive?
A joint diploma: you graduate from Albert School and Mines Paris – PSL, with the Grade de Master, after 120 ECTS.
How do I choose between the two tracks?
Choose Finance & Corporate Strategy for strategy consulting, corporate development, M&A and venture capital. Choose Transformation & Growth Strategy for AI and transformation consulting, go-to-market, pricing and AI product roles, in corporations and scale-ups.
What is a Business Deep Dive?
A 3-week sprint on campus in which teams solve a real challenge set by a partner company, work with its data and experts, and present their solution to its executives, most often at the company’s offices. In Madrid, partners include Amazon AWS, Carrefour, Talan, Sixt, Clarity AI and PropHero.
Which companies do you work with in Madrid?
Amazon AWS, Carrefour, Talan, Sixt, Clarity AI and PropHero for Business Deep Dives. BCG is a partner of the school in Madrid and is closely involved in coaching, mentoring and Business Deep Dives.
What jobs does the program lead to?
Strategy consulting, corporate development, M&A and venture capital for the Finance & Corporate Strategy track. AI and transformation consulting, go-to-market, pricing and AI product roles, in corporations and scale-ups, for the Transformation & Growth Strategy track.
Is the program taught in English?
Yes. Year 1 in Madrid is taught in English.
Where is the campus?
In Madrid, at P.º de la Castellana, 93, Tetuán. Metro Santiago Bernabéu and Nuevos Ministerios are nearby.
How much does it cost, and how do I apply?
See the tuition and financing section above for fees and payment options. Applying takes three steps: create your candidate portal, upload your documents, and take an interview with our jury.
How does it differ from the 15-month MSc?
Both start with the same year 1 in Madrid. The 15-month route continues with a 30 ECTS professional period and a capstone, for 90 ECTS in about 15 months. The 2-year route continues in Paris. See the 15-month MSc.