Dual Degree
Master of Science in Data Science
Programme Key Points
One Programme. Two Degrees. Infinite Possibilities: Bridge the gap between tech and business with an MS in Data Science from Schiller University and an MBA from EAI—giving you rare cross-domain proficiency in just 10 months.
This programme immerses you in dynamic startup labs, ongoing business challenges, and data-centric strategy exercises where you're not just a participant, but a creator of the solutions and frameworks.
From Paris to Madrid—experience two dynamic international markets, work with leading industry players and connect with a worldwide network in Europe’s business hotspots.
Learn from tech leaders, startup founders and analytics experts who drive industries and guide your next career move.
End the year with engaging analytics projects and in-demand skills from coursework like Machine Learning, Data Analytics and Cloud Computing—ready to impress global recruiters.
Programme Highlights
Express Path to Data Science Expertise
In just 10 months, develop the data acumen, tech expertise and business mindset to lead in the world of data.
Real Projects. Real Tools. Real Impact.
Build your data skills through real projects, global teamwork and tools that matter—from Python to Power BI and machine learning.
Career-Focused, Globally Certified
Boost your global employability with industry workshops, visits to top companies like LOEWE and Goya, and certifications from AWS and Google—plus a Global Employability Certificate to strengthen your resume.
Programme Overview
Ignite your potential with MS in Data Science at Schiller International University, together with EuroAmerican Institute (EAI). This dual degree programme combines technical expertise with business acumen, offering an MS in Data Science from Schiller and an MBA from EAI, giving you the skills to use data in making impactful decisions across international business environments. With locations in Madrid and Paris, you'll develop a deep comprehension of data science in only 10 months, poised to take charge in one of the most transformative fields.
The programme offers an interdisciplinary curriculum in data science, integrating core subjects like machine learning, programming, data analytics and business decision-making. You'll learn about sophisticated tools like Power BI and Python, and become proficient in emerging technologies like cloud computing and big data analytics. With real-world projects, you'll acquire the technical and analytical capabilities to address complex issues and ride the changing waves of data.
Emphasising practice over theory, you'll have hands-on learning opportunities through a one-week boot camp and a capstone project. These experiences enable you to associate with international peers, implement machine learning methods and solve live business problems, and delve into ethical aspects of data handling. Students in this course will be well-prepared to assume leadership roles connecting business and technology, capable of steering data-centred strategy and growth.
Your MS in Data Science experience at Schiller International University envelops you in the vibrant business ecosystems of Paris and Madrid, blending modernisation, culture and worldwide opportunities. Outside of the classroom, Schiller's Global Employability Path (GEP) allows you to acquire the soft skills, industry knowledge and global network you need to succeed in an increasingly competitive international job market. From business tours and career sessions to Google and AWS certifications, GEP assists you in creating a full-fledged professional resume that will get you noticed by top recruiters across the globe.
Why Choose this Programme?
Most viewed and all-time top-selling services
Start a Data-Driven Career Spanning Borders
Curriculum for the AI Era
Learn from Practitioners, Not Just Professors
Get Free Counselling
Schedule a 1-1 career counselling session with our experts and get all your queries answered
Syllabus
10 Months Dual Degree Programme
DIG 515 – Digital Analytics (3 Credits)
Explore data analysis tools like SQL, APIs and web scraping. Learn to interpret, visualise and present data-driven insights for strategic decisions. (Prerequisite: IT 545)
DIG 520 – Maths & Statistics for Database Analysis (3 Credits)
Master foundational and applied statistics, linear regression, ANOVA and hypothesis testing essential for business decision-making. (No prerequisites)
DIG 521 – Digital Technology I (3 Credits)
Examine how digital innovations—from blockchain to disruption—are redefining strategy, business models and product design. (No prerequisites)
DIG 580 – MBDA Integrative Project (3 Credits)
Solve real-world business problems using cross-disciplinary knowledge. Combine with peers, industry cases and simulations to develop actionable strategies. (Prerequisites: IT 545, DIG 515, IT 535)
DIG 597 – BDA Capstone Project (3 Credits)
Undertake a live analytics project with a real company. Present data-driven recommendations addressing legal, ethical and business concerns. Includes full research documentation. (Prerequisites: Core technical courses including DIG 580)
IT 505 – Database Technologies (3 Credits)
Learn relational database design, SQL and big data tools like Apache Spark and PostgreSQL through projects. (No prerequisites)
IT 526 – Cloud Computing & Big Data Analytics (3 Credits)
Analyse large-scale data systems via AWS, Azure and Google Cloud. Understand data mining in the cloud ecosystem. (Prerequisite: IT 505)
IT 528 – Data Visualization (3 Credits)
Design powerful visualisations using Power BI and Tableau. Develop visual storytelling for complex data insights. (Prerequisite: IT 505)
IT 535 – Machine Learning for Business Analytics (3 Credits)
Apply ML algorithms like neural nets, decision trees and clustering to real business cases using statistical software. (Prerequisites: IT 545, DIG 515)
IT 545 – Object-Oriented Programming in Python (3 Credits)
Develop data-centric Python skills. Learn OOP, data handling and scripting for business insights and automation. (No prerequisites)
Courses
Master of Science in Data Science
Tuition Fees
€ 16,300
Country
France, Spain
Mode of Teaching
On Campus
Duration
10 Months
Eligibility
Secure your spot in our graduate programmes by completing these essential steps:
- Official Transcripts: Submit transcripts of your undergraduate degree from your institution.
- International Degrees: If your degree is from outside the U.S., you must get it evaluated by AACRAO, AICE, or NACES. The applicant bears the cost.
- Proof of ID: Provide a copy of your passport or national ID (visa students).
- Enrolment Agreement: Submit a signed enrolment agreement.
- English Proficiency (if applicable): Provide one of the following test scores if your education was not in English:
- TOEFL iBT: 89+ (Code: 0835)
- IELTS: 6.0+ (6.5+ for MBA/MBA IB)
- TOEIC: 700+
- Duolingo: 105+
- PTE: GSE 67+
- Cambridge FCE: Grade B+ (B2 level or higher)
- The Tampa Language Centre Level 6 certificate is also accepted.
Career Opportunities
Bring algorithms to life as you participate in the decision-making process in multinational corporations as well as in startups. From decoding consumer behaviour to building predictive models, your influence spans industries. Pursue roles such as AI Consultant, Data Strategist or Machine Learning Engineer—where insight meets impact.
A Community of 1000+ And Counting
Here's what our students have to say about their programme experience with EuroAmerican Education
Sofia D.
MS in Data Science
What I loved most was the flexibility to study at a campus of my choice. I studied the course in Madrid, which gave me totally different experiences, both culturally and professionally. EuroAmerican Education made the transition smooth, and their career team helped me prep for interviews. I now work at a fintech company, applying data science in product development—and I wouldn’t be here without this programme.
Amina S.
MS in Data Science
Before joining, I wasn’t sure how I’d adjust in a new country, let alone study something as intense as Data Science. But thanks to the support from Schiller University and EuroAmerican Education, I felt confident from day one. They helped me with everything—from visa to accommodation to picking my electives. Now I’m learning Python, machine learning and even working on a real project with a healthcare company. It’s been life-changing!
Thiago L.
MS in Data Science
Coming from a non-tech background, I was nervous. But the initial months at Paris campus included foundational coding classes, and the professors made it easy to follow. I like how everything’s hands-on—case studies, labs, even hackathons. EAE’s team also connected me with alumni who gave me tips on managing coursework and finding part-time work. It’s a very supportive setup.
EAE Graduates Work With
News and Events
.jpg&w=3840&q=75)
Blogs and Articles
- May 21, 2025
- Hospitality
The Rise of Dual Degree and Pathway Programs
- Learn how dual degrees and pathway programmes offer global exposure, save time and cost, and boost employability with a flexible, holistic education approach.
- Apr 25, 2025
- Computer Science
- Apr 7, 2025
- Computer Science
- Apr 4, 2025
- Hospitality
