Turn Data into Insight and Impact
Study Data Science programs in English at Vienna’s leading international university where you can learn sustainability, innovation, and data-driven management at an international hub.
100%
English Taught
75%
International Student Body
100%
Accredited by AQ Austria
Why Study Data Science at MU?
Data Science at MU combines a strong technical foundation with a clear focus on ethical and responsible AI, ensuring that graduates are prepared to work with data in a way that is both innovative and accountable. The program is application-driven rather than abstract, with small cohorts and close academic supervision that support hands-on learning, individual guidance, and real-world problem solving.
Small Classes & Personal Mentoring
Truly International
Hands-on Projects
Career Driven Outcomes
Through Career Days, Innovation Nights, and our Industry Excellence Program, you’ll meet professionals, explore emerging trends, and gain practical experience that employers value. With strong partnerships across the tourism sector, we help you build your network, sharpen your skills, and graduate ready to launch a successful international career.
Partners
Data Science Programs for you to choose from
From day one, you’ll dive into the core of data science, harnessing the power of data to solve real-world problems.
- 6 Semesters
- €9.000
- 180 ECTS credits
From day one, you’ll dive into the core of data science, harnessing the power of data to solve real-world problems.
- 4 Semesters
- €7.000
- 120 ECTS credits
”
The curriculum for the Applied Data Science Program at Modul University effectively blends theoretical knowledge with practical applications. Courses typically start with a theoretical foundation, followed by hands-on projects that allow us to apply what we've learned. This approach ensures that we are not just preparing for exams but gaining real-world experience that will be extremely important and valuable in our future careers.
”
Modul University Vienna is an inspiring place for both students and faculty. As Professor of Applied Data Science, I value the university’s diverse and multicultural environment, innovative curriculum, and close-knit academic community. Small class sizes create space for genuine interaction and collaboration, and the international student body makes every discussion rich and unique. I especially appreciate how MU fosters not only technical excellence and its application, but also responsible and human-centered perspectives on AI and Data Science in teaching and research. For students joining us, my advice is: be curious, be critical, engage fully with your peers and lecturers, and take advantage of Vienna’s vibrant cultural and scientific life — it will make your journey here truly rewarding.
”
Working with computers has always been my strong suit. I enjoyed being the "IT guy" throughout my life and no matter what the task was, if it involved many interactions with a computer, I would do that task well. I have been working as a software engineer since the age of 16, developing software across various platforms, including iOS, Android, web, and backend. However, as much as being a software engineer is empowering, in the realm of IT, AI stands out as the trendiest topic. At the time of applying, I was working on a startup project that required me to know more about building machine learning models. Modul was the only university in Vienna that offered bachelor’s degree data science in English. Nevertheless, I am delighted to have become a part of MU. Apart from providing a great course to study data science, it has afforded me opportunities to connect with exceptional individuals, engage in challenging projects, and showcase my talents beyond classroom assignments and topics.
Learning Outcomes
These outcome-based curricula equip you with technical, analytical, and problem-solving skills to transform complex data into actionable insights, develop responsible data-driven solutions, and support informed decision-making across industries.
Skills:
Gain strong skills in programming, data handling, and statistical analysis. Learn how to collect, clean, and analyze complex datasets to extract meaningful insights and support evidence-based decision-making.
Develop a clear understanding of ethical considerations in data science, including responsible AI, data privacy, and bias awareness. Learn to design and apply data-driven solutions that are transparent, fair, and socially responsible.
Learn how to apply data science methods to sustainability challenges such as climate change, resource management, and social impact. This skill enables you to translate complex data into actionable insights that support sustainable policies and practices.
Learn to build, evaluate, and apply machine learning models to identify patterns, make predictions, and solve real-world problems. The focus is on practical application rather than abstract theory, preparing you for real data-driven environments.
Industry Access & Real Experiences:
Strengthen your professional profile with structured, credit-bearing internships built into the curriculum. These placements give you first-hand exposure to tourism and hospitality operations, helping you apply classroom learning to workplace challenges
Learn directly from seasoned practitioners who bring current insights, case studies and real industry perspectives into the classroom, enhancing both academic learning and career relevance.
Connect with employers, innovators and alumni at dedicated events that showcase opportunities, trends and entrepreneurial pathways in tourism, hospitality and beyond. These events help you build relationships and explore career directions early.
Expand your global outlook via partner universities and study abroad options, gaining intercultural skills, international experience and a deeper understanding of tourism systems around the world.
Study Data Science in The Heart of Vienna
All in all, Austria offers you a broad spectrum of educational opportunities – not to mention great social security, economic stability and the great hospitality of the Austrians. This is why Austria is an ideal place for living and studying!
Drag
Admissions Made for International Students
Modul University Vienna is AQ Austria accredited, TedQual certified and offers EU-recognized degrees along with dedicated admissions support to guide you from application to enrollment.
Admission Process
- Choose your program and Apply Online
- Your Application will be reviewed and you will be invited for an admission interview
- You will be notified by email of the decision made by the Admission committee
Visa & Arrival support
Modul University Vienna has an internal department fully dedicated to supporting international students with their visa and residence permit needs. Our team provides personalized, end-to-end guidance throughout the entire process — from choosing the correct visa type to submitting a complete application and booking appointments with the authorities.
Scholarships & Funding
Modul University Vienna offers a range of scholarships, tuition reductions, and grants to help students lower the cost of their studies. Options include merit-based awards and special funding opportunities, depending on eligibility and academic performance.
Mathias Corvinus Collegium Foundation Scholarship
Reductions & Grants
Undergraduate Supporting Futures Scholarship
Graduate Excellence Scholarship
Data skills that matter in the real world
Our Admissions Team will review your application as soon as possible. You will then be invited for an interview with us.
