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Master in AI for Business and Data Science

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Master in AI for Business and Data Science

Programme Key Pointsline

An Immersive, On-Site Learning Experience: The Master in AI for Business and Data Science is a 60-ECTS on-site programme at ENAE’s Murcia campus, Spain. Graduates earn dual qualifications — a Master’s degree from ENAE and an MBA from EAI Malta, creating a distinctive international credential.

Internationally Recognised and Trusted: Backed by a QS 5-Star rating, ISO-EN-UNE 9001 certification, and memberships with CLADEA and AACSB, the programme ranks among Spain’s top 10, with 500+ alumni working across global industries.

Develop AI and Data Science Expertise: Across 10 months plus an internship, students work with real business datasets, apply machine learning and predictive analytics, and develop data-driven decision-making skills for modern organisations.

Build Leadership and Analytical Strength: Grow into confident leaders capable of managing data-driven teams, collaborate across departments, and apply ethical, evidence-based decisions that improve organisational performance.

Encourage Innovation and Drive Digital Change: Learn to spot opportunities, modernise processes, and apply AI-driven insights to help organisations adapt and lead in rapidly evolving industries.

Programme Highlightsline

From Data to Decisions — You Lead

Work with generative AI, LLMs, and predictive analytics — turning data into real business strategies, just like the 95% of ENAE graduates already doing it.

Be the One Who Makes Change Happen

Use ML, automation, and real-time data intelligence to drive transformation — and join a community where students have already built 65+ companies of their own.

A Degree That Opens Doors Everywhere

Graduate with the skills, network, and credibility to work across industries and borders, backed by ENAE's 350+ company connections across Asia, Europe, the USA, and Latin America.

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Programme Overviewline

Most people understand that AI is changing business. Fewer know how to actually use it. This programme is for those who want to be in the second group.

 

The Master in AI for Business and Data Science at ENAE International Business School is an on-site, 10-months programme built for professionals and graduates who not just want to understand AI, but also use it practically to make a real difference in the organisations they work for. On top of the ENAE Master's degree, students also graduate with an MBA top-up from EAI Malta — two accredited qualifications that open doors most single degrees simply cannot.

 

Throughout the programme, students work hands-on with the technologies that are driving change in industries today: machine learning and predictive analytics, generative AI, and big data platforms.This is not only a technical degree but a programme in which students acquire the business insight, leadership confidence and analytical thinking necessary to apply what is learned to decisions that really count: whether it is making an organisation better at what it currently does, finding new opportunities in markets and industries, or driving change from within.

 

What distinguishes this programme is the balance it offers. Students come out of this programme knowing how to work with data and how to bring people with them — these are not often found together in one programme, yet this combination is exactly what every progressive organisation urgently needs. With over 250 faculty members who are active industry practitioners, project work rooted in real business challenges, and an EU internship programme, students are building their professional reputation long before they graduate.

 

The results speak for themselves. Graduates enter into employment market which is actively seeking their skills in: finance, logistics, healthcare, marketing, and consulting, supported by ENAE's network of with access to over 350+ partner companies and a 95% employment rate after graduating, alongside being ranked in the top 10 in Spain, top 65 in Europe, and top 151+ globally. For anyone looking to pursue a path where they can combine business and technology, this is where it all starts.

Why Choose this Programme?

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Learn From People Still Doing the Work
Sessions at ENAE are led by faculty members who are still active in their field. There are 250+ industry professionals who bring what is happening right now in AI, data, and business into the classroom, making every class feel updated and genuinely useful.
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A Truly Global Classroom, Right Here on Campus
Students and faculty arrive from all over the world, bringing experience of different industries, cultures, and ways of thinking into every conversation. That kind of diversity teaches something no module can — the ability to work with, lead, and communicate with people who see the world in a different way to you.
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Learning That Puts You in the Room Where It Happens
ENAE's own "Learning by Doing" method means students are not sitting back and absorbing — they are doing. Face-to-face sessions on Friday afternoons and Saturday mornings, real business case studies, an enterprise simulator, and a final Master's Project supervised by international experts all add up to an experience that feels far closer to the real world than most programmes dare to go.
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A City That Works in Your Favour
Murcia is not just a beautiful place to live — it is a smart place to study. With a cost of living lower than most Spanish capitals, a Mediterranean climate, and a professional culture where students and industry figures genuinely mix, it is the kind of city that adds to your education rather than competing with it.
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Support That Actually Shows Up
Moving abroad to study is a big decision. ENAE's student support team is there from the moment students arrive — helping with the practical stuff, the academic stuff, and everything in between — so students can put their energy where it belongs, into the programme itself.
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A Network Built Into the Degree
From the very first day, students are building connections that last. With 500+ corporate recruiters actively engaged with ENAE and a professional community that spans Europe, the USA, and Latin America, the network students leave with is often just as valuable as the qualification itself.
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Syllabusline

10 Months Onsite Program
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Foundations for Data Science 

Builds the mathematical and statistical foundations on which everything else in the programme rests, covering statistics, linear algebra, and data structures so students can dive deeper with confidence from day one.

 

Python Foundations 

A practical introduction to the basics of the Python programming language, with a focus on data analysis and automating repetitive tasks, which are common in data-related roles

 

Data Analysis and Visualisation 

In this module, students learn how to effectively explore, interpret, and present data in a manner that makes sense to business, utilising tools such as Tableau, pandas, seaborn, and matplotlib, effectively turning numbers into insights that actually mean something to business.

 

Artificial Intelligence and Business 

Students examine how AI is being utilised today across marketing, finance, operations, and HR, effectively linking the technical side of AI to the actual decisions made in business today.

 

Machine Learning 

Covers the basic algorithms of machine learning: regression, classification, and clustering. This provides students with a good grasp of how it works and when to apply it.

 

Business Analytics and Intelligence Systems 

Explore how business organisations use data to make strategic decisions with tools like Power BI, dashboards, and reporting systems. This is essentially the "hands-on" part of making data work for the business.

 

Deep Learning 

Introduces neural networks and the various architectures used in deep learning: CNNs, RNNs, and transformers. This provides students with a solid foundation in how to work with the most powerful AI systems in use today.

 

OpenAI Tools and Applications 

This module introduces students to OpenAI tools like GPT and Codex and how businesses are leveraging these tools for automation and cognitive assistance. It helps students get comfortable with the technology that is driving how business is being done. 

 

Data Science and AI for Decision Making and Automation 

Puts everything together in a business context and shows students how to use AI and data science tools for decision making and automation at a business level. 

 

Artificial Intelligence and Organisations

This module takes it one step further and helps students understand what it means for business to adopt AI and how it impacts business culture and people.

 

AI Strategy and Foresight for Business 

This segment helps students build strategic thinking skills to effectively plan for AI implementation, ensuring that they can anticipate where the technology is heading and create strategies that are both viable for business and ethical in their approach.

 

Capstone Project 

Finally, there is a capstone project where students get to use everything that they have learned and apply it to a real-world business scenario with guidance from industry experts.

Courses

  • Master in AI for Business and Data Science

Tuition Fees
€13,900 + €2100 (for Top up degree)
Country
Spain
Mode of Teaching
On Campus
Duration
10 Months

Eligibility

Career Opportunitiesline

Completing the Master in AI for Business and Data Science at ENAE International Business School puts graduates in a strong position in one of the fastest-growing job markets in the world. The programme gives graduates everything they need to walk into organisations and make a real difference — the technical skills, the business sense, and the confidence to lead in a world where data sits at the heart of everything.

A Community of 1000+ And Countingline

Here's what our students have to say about their programme experience with EuroAmerican Education
View All
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Mariana Souza, Brazil

I chose ENAE because of its ranking and because it was something I could justify to my parents. But once I arrived, the rankings stopped mattering. My professors were active in the industry and talked about things happening in real time, not outdated case studies. And Murcia, a place I had never even heard of before applying, ended up being one of the best parts of the experience.

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Arjun Patel, India

I studied engineering but always felt I was missing the business side of the technology I worked with. I expected to be behind everyone else, but the programme meets you where you are and builds from there. The internship arrives quickly, and suddenly you’re working on real projects with a company in Europe. That experience changes how you see yourself.

 

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Dmitri Volkov, Russia

I have completed this programme and the taught modules are great. But for me the final project was where everything came together. You’re not working on something theoretical, in fact you’re solving a real problem with professionals who have spent their careers in the field. I walked into my first job interview with a real project to talk about and walked out with an offer.

 

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Sofia Reyes, Mexico

I had been researching programmes in the UK and US for months when someone told me about ENAE. I was a bit sceptical at first, as Spain is not a country I had considered. But when I did look into it, everything seemed to fit - the cost of living, the quality of the programme, and the rankings. What I did not realise is how much I would love being there. It is difficult to describe until you are in it.

 

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Frequently Asked Questions
FAQ's

Frequently Asked Questionsline

This programme is for anyone who wants to work where AI and business meet — whether you come from a technical background and want to understand business better, or from a business background and want to get serious about data and AI. It also suits data analysts wanting to go deeper into machine learning, professionals building data-driven solutions with real business impact, and those transitioning into deep tech who want a grounded understanding of AI from a business perspective.

Not at all. Students from engineering, business, economics, and other fields have all done well here. What matters more than your background is your willingness to learn and your drive to put it into practice.

You will be able to work with machine learning, generative AI, predictive analytics, and big data tools — and just as importantly, you will know how to lead teams, present data insights clearly, and make strategic business decisions. That combination is what employers in finance, logistics, healthcare, and marketing are genuinely looking for.

Yes. It holds a 5-star QS institutional rating, accreditations from AENOR, CLADEA, and AACSB, and ranks top 10 in Spain, 65th in Europe, and 151+ globally in the QS Business Master's Rankings 2026.

Classes run on Friday afternoons and Saturday mornings, using ENAE's own Learning by Doing method. Sessions are led by active industry professionals, built around real business case studies and an enterprise simulator, and the programme wraps up with a final Master's Project supervised by international experts.

The EU internship places students inside a real company in Europe for a period during their studies. It bridges the gap between learning and working, and gives students real professional experience and something tangible to show employers before they even graduate.

95% of graduates are in work after finishing and 98% find employment within 12 months. With 350+ partner companies and 500+ corporate recruiters actively working with ENAE, students are not starting from scratch when it comes to finding opportunities.

ENAE's support team helps with visa applications, finding accommodation, and settling into life in Murcia. The goal is to take the stress out of moving abroad so students can focus on getting the most out of the programme from the moment they arrive.

A bachelor's degree or equivalent, official academic transcripts, a valid photo ID, an up-to-date CV, a personal motivation letter, letters of recommendation, and a GMAT score certificate.

Students build a solid mix of technical skills — Python, SQL, deep learning, machine learning, big data, and AI strategy — alongside business competencies like data management, analytics, leadership, and strategic decision-making. The goal is to be equally comfortable in a technical conversation and a boardroom one.

Through ENAE's active learning methodology — real business case studies, group work, virtual campus access, tutoring support, and hands-on experience with current technologies. The final Master's Project involves building a structured business plan with guidance from international experts. Add in the EU internship and a network of 350+ company partners, and students graduate with experience and connections, not just a qualification.

Alongside the ENAE Master in AI for Business and Data Science, students also graduate with an MBA top-up from EAI Malta — two qualifications from a single on-site programme. It is a combination that covers both the specialist and the strategic, giving graduates a profile that stands out across technical and leadership roles alike.