TU Wien Informatics

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Master Data Science

  • Master Program
  • UE 066 645

When data speaks, you know how to listen—if you’re driven to uncover the patterns and stories that lead to real-world impact, then this is the right master’s program for you!

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Facts

  • Duration: 4 Semesters
  • ECTS: 120
  • Degree: Dipl.-Ing. (equivalent to MSc)
  • Language: English
  • Curriculum: PDF / Courses
  • Questions? — We have answers

Diese Seite in Deutsch.

About

Whether you’re drawn to the logic behind data-driven models or excited by the challenge of making sense of complex information, our master’s program Data Science gives you the skills to unlock the power of data to understand the world, uncover patterns, and drive decisions. You’ll learn to collect, process, analyze, and visualize data—mastering everything from anomaly detection and complex system modeling to trend forecasting and machine learning. Turn complexity into clarity with every step. This master’s program combines technical depth with the power to turn data into action, and provides you with the knowledge and skills to launch a successful career in both academia and the private sector.

What to expect?

We build from the basics: You’ll learn all fundamental principles of data science, statistical modeling, machine learning, data engineering, and algorithmic thinking. You’ll dive into the world of data by working with large, complex datasets—learning how to ask the right questions, build powerful predictive models, and transform raw information into clear, compelling insights. Detect patterns in big data, build responsible AI systems, and apply data science to solve challenges across science, society, and industry. You’ll be part of a dynamic, international research community—collaborating closely with faculty, researchers, and fellow students.

Why all this?

Because today’s most pressing challenges—from healthcare to sustainability—depend on data-driven insights to make informed decisions and solve wicked problems. You’ll learn how to build and evaluate statistical and machine learning models, design efficient data infrastructures, and communicate your findings clearly to drive meaningful outcomes. With a master’s degree in Data Science, you have a bright career ahead of you—not only in terms of salaries but also by shaping how we can make sense of the world with data.

Curriculum

Curriculum Overview. Full details about structure and content of the program are available in the [curriculum](/master/curriculum-ue066645.pdf) (PDF) and in the list of [courses](https://tiss.tuwien.ac.at/curriculum/public/curriculum.xhtml?key=67853&locale=en) in TISS.
Curriculum Overview. Full details about structure and content of the program are available in the curriculum (PDF) and in the list of courses in TISS.

The first semester is dedicated to getting around the foundations of Data Science with the modules Fundamentals of Data Science, Machine Learning and Statistics, Big Data and High Performance Computing, and Visual Analytics and Semantic Technologies.

Over the course of the second and third semesters, you’ll be able to deepen your knowledge in two or more key areas with core and extension modules that build directly on the foundational modules. The core and extension modules are complemented by the module Domain-Specific Aspects of Data Science, where you’ll explore the diverse data science needs of other disciplines.

The focus in the fourth semester lies on developing and writing up your master’s thesis.

Throughout your studies, a well-balanced set of open electives and extension courses deepen your knowledge of core competencies in Data Science and allow you to explore interdisciplinary areas, apply data-driven concepts in broader contexts, and develop valuable secondary skills.

Environment

You are deeply immersed in a rich environment full of exciting ideas and interesting challenges that foster your talents and provide new experiences:

  • Participate in our student mobility programs! International exchange is in our DNA. Meet students, researchers, and lecturers from all over the world, participate in Erasmus, and join our double degree programs during your Masters.
  • Come for the Master; stay for the Doctorate! A master’s degree is the ideal preparation for a doctorate at the TU Wien Informatics Doctoral School. And we are always looking for excellent candidates for open positions in the scientific field.
  • Get to know the people and research! We are proud of the distinguished scholars and researchers who make up our diverse faculty. Find out who they are, what projects our research units are working on, and stay in touch through our newsroom and social media channels.
  • Enjoy Vienna! Our campus is located directly in the heart of Vienna. Besides Vienna ranking as the city with the highest quality of life and TU Wien Informatics in the Global Top 15% in Computer Science, there are numerous more reasons why you should study with us.

Be part of TU Wien Informatics and help us shape the technologies of the future - today!

Frequently Asked Questions

Simply browse through the individual pages for all our master’s programs. Each page provides an overview of the program, as well as links to the full curriculum, list of courses, and answers to program-specific questions. If you have additional questions, the student council offers a wide range of advisory services: FS Inf, FS Winf.
Please follow the instructions on the Admission to a Master Degree Program page. And please submit your application in time, as the admission procedure may take two months or even longer.

Your application is processed in three steps:

  1. The admission office checks whether your application meets certain formal requirements. You need a degree on level 6 (bachelor) or higher in the European Qualifications Framework, and it should have been awarded by a recognized institution (classified as “H+” in ANABIN). Depending on your country of origin, further conditions may apply.

  2. We check whether your bachelor degree covers fundamental education in the area of computer science, mathematics, and statistics.

  3. We check whether the documents you have supplied with the application (like degrees, transcripts, certificates) allow us to conclude that your expertise in computer science, economics, business informatics, and mathematics suffices to follow the master courses successfully.

At the moment, there is no restriction on the number of students admitted per term. You therefore don’t have to compete against other applicants for a limited number of places.

We check your documents (like transcripts and certificates) for expertise in the following four areas: algorithms and data structures, programming, database systems, mathematics, and statistics; for details see the modules INT/ADA (8 ECTS), INT/PRO (9.5 ECTS), WIN/DBS (6 ECTS), STW/ADM (9 ECTS), STW/ANA (6 ECTS), and STW/STA (6 ECTS) of the bachelor’s program in Business Informatics at TU Wien.

The numbers in parentheses indicate the extent of the area, measured in credits according to the European Credit Transfer System. One Ects corresponds to 25 hours of student work, 60 ECTS correspond to the work load of a year.

We are not picky about single ECTS credits, but you need a solid foundation in these areas to be admitted without further conditions. If you lack some of these foundations (up to 30 ECTS), you can be admitted under the condition that you do some extra courses to make up for it.

If you have completed your bachelor degree in Business Informatics at TU Wien you will be admitted without further conditions. If you have completed one of the bachelor’s programs in Informatics at TU Wien you will be admitted, but you will have to do extra courses on economics.

Otherwise we check, based on the documents that you have provided with your application, whether you have the necessary prerequisites for mastering the courses in the programme. If you have, you will be admitted without further conditions. If not, we compile a list of missing prerequisites. If they sum up to a term (half a year) or less, you will be admitted under the condition that you do some extra courses. You don’t have to do them in advance, but can do them side-by-side with the regular master’s program, as we check their completion only at the end of your studies here.

If the missing prerequisites exceed a full term, we have to reject your application.

Proficiency on Level B2 of the Common European Framework of Reference for Languages (CEFR) is required. Please see the TU Wien Language Requirements page for all the details.
None, since the program is entirely in English. If an application form asks for your German skills, this is only because of other study programs; your answer does not affect your chances of getting admitted.

TU Wien offers scholarships in accordance with the Student Support Act, and we also award a number of other scholarships for excellence. Please find more on our Scholarships page.

For scholarship information beyond TU Wien, please visit the stipendium.at platform.

Head over to our First Steps page. It has all the important information, dates, events, and todos for the beginning of your first semester.
Open thesis topics are usually announced via TISS. To see all available thesis topics, please configure the TISS search form as follows (for technical reasons, we unfortunately can’t provide a direct link): Click the “Extended Search” button, set thesis type to “Diploma Thesis”, set faculty to “Faculty of Informatics”, and click the “Search” button.
Your master’s thesis must be written and submitted in English.
Sure! We honor our most excellent master theses with the Best Master Thesis Award.
We’ve prepared a nice step-by-step guide on how to apply for your master’s degree. Please follow the guide and if you have any questions, contact our Study Services team.
You always graduate under the currently valid (i.e., latest) version of your curriculum. If you began your studies under an older version, our transitional provisions and equivalencies will help you with the transition and describe how to proceed when you graduate under a newer version.
Please see the links and contact information below, or contact our Study Services team.