MSc Data Science & AI for Strategy (15 months)
A 15-month, English-taught Master of Science in Madrid. Build real Data Science and Artificial Intelligence skills, from Python to generative AI, then apply them to strategy, finance and business transformation.
then a professional period
taught in English
at 3 levels
Our partners
A master for people who want to work with data and AI, and use them to shape strategy
Whether you come from engineering, business, economics, law or science, you leave with data science and artificial intelligence skills you can apply to real business decisions.
- Recent graduatesA 4-year degree (240 ECTS), for example in engineering, economics, law or science.
- Engineers and scientistsYou already code. Learn how companies decide, value and transform.
- Master’s holdersAdd data science and AI skills, and a strategy toolkit to apply them.
- ProfessionalsReskill full-time in 15 months, with a professional period as a full-time job or internship.
Degree
At least 240 ECTS: a 4-year bachelor’s degree or equivalent, in any field.
Who can apply
Students from the European Union.
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 and reinforcement learning.
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
Learn data science, apply it to strategy, then prove it at work
Nine months of courses on campus in Madrid, then a professional period and a capstone, in the country of your choice.
- 01Courses · 30 ECTS
Semester 1 · Data Science & AI
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
- 02Courses · 30 ECTS
Semester 2 · Strategy
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
- 03After 9 months · 30 ECTS
Professional period & capstone
24+ weeks in a full-time job or internship, anywhere in the world, plus a capstone applying data and AI to a real strategy problem.
To be completed by mid-December.
Professional period & capstone
Once your two semesters on campus are done, you spend at least 24 weeks in a full-time job or internship, anywhere in the world. At the same time, you complete a capstone: a project in which you apply data and AI to a real strategy problem.
- 30 ECTS
- 24+ weeks, full-time
- Full-time job or internship, anywhere in the world
- To be completed by mid-December
What is the capstone?
It is the project that ties the master together. You take a real strategy problem, analyze it with the data and AI tools you learned in the program, and present a recommendation.
60 ECTS of coursework on campus + 30 ECTS professional period and capstone = 90 ECTS.
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.
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 master that pairs data science and AI with strategy.
MSc Data Science & AI for Strategy
Graduate with a Master of Science that pairs real data science and artificial intelligence skills with the strategy toolkit companies look for. 90 ECTS: 60 on campus in Madrid, then a professional period and a capstone, anywhere in the world.
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 (15 months)
Do I need to know how to code to study Data Science & AI here?
No. Semester 1 offers Data Science & AI at three levels (Entry, Intermediate, Advanced). At Entry, Python, SQL and statistics start from scratch. At Advanced, you work on generative AI, deep learning and reinforcement learning.
How long is the master and how is it organized?
About 15 months, 90 ECTS: two semesters on campus in Madrid (30 ECTS each, about 9 months of courses in total), then a 30 ECTS professional period of at least 24 weeks, as a full-time job or internship anywhere in the world, plus a capstone applying data and AI to a real strategy problem.
Why “Data Science & AI for Strategy”?
Data science and artificial intelligence are the tools companies need, and strategy is what you use them for. You study machine learning and generative AI, and also valuation, M&A, pricing and transformation, so you can do more than build models.
Which Data Science & AI topics will I study?
Depending on your level: Python, SQL, statistics and machine learning at Entry; applied ML, neural networks, LLMs and AI products at Intermediate; generative AI, deep learning for NLP, reinforcement learning and graph analytics at Advanced. Semester 1 also includes MLOps & Model Deployment, data engineering and responsible AI.
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.
Is the program too technical if I have never coded?
No. Entry level starts with Python from the first line, then SQL, statistics and machine learning. You study in a class with students from other backgrounds, and you work in teams on the Business Deep Dives.
I already code: will I learn something new?
Yes. Intermediate and Advanced levels go into applied machine learning, deep learning, generative AI, reinforcement learning and graph analytics, and Semester 1 also covers MLOps & Model Deployment, data engineering and cloud infrastructure.
Which degrees give access to the program?
Any field, with at least 240 ECTS: for example in engineering, economics, law, mathematics or physics. Any 4-year Spanish university degree qualifies. Students with a master’s degree who want to add data science and AI can also apply.
Can students from outside the European Union apply?
This route is open to students from the European Union. International students with a valid student visa can look at the 2-year route. See the 2-year MSc, with a second year in Paris in apprenticeship.
I have 180 ECTS (a 3-year degree). Can I apply?
This route requires at least 240 ECTS. With 180 ECTS, the 2-year route is open to you. See the 2-year MSc, with a second year in Paris in apprenticeship.
Can I do the professional period abroad?
Yes. The professional period of at least 24 weeks can be a full-time job or internship, in Madrid or anywhere in the world.
Who can apply?
Students from the European Union with at least 240 ECTS: a 4-year bachelor’s degree or equivalent. Master’s holders who want to add data science and AI skills can also apply.
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.
What happens after the two semesters?
You complete the professional period (24+ weeks) and a capstone. You can do a full-time job or internship, in Madrid or anywhere in the world.
Is the program taught in English?
Yes. Classes are taught in English, on campus in Madrid.
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.