Study abroad in Vienna, Austria: Most popular universities for Data Science & Big Data.
Are you thinking of studying Data Science & Big Data abroad? Below you can find the most popular universities and programmes to study Data Science & Big Data in Vienna, Austria. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
Based in Vienna, Central European University brings together students and faculty from over 100 countries in a community that encourages debate and the open exchange of ideas. The university is accredited in the U.S., Austria and Hungary, and offers 48 English-language graduate degree programs in a wide range of disciplines, and two undergraduate programs in the social sciences and humanities.
At TU Wien, we have been conducting research, teaching and learning under the motto 'Technology for people' for over 200 years. TU Wien has evolved into an open academic institution where discussions can happen, opinions can be voiced and arguments will be heard.
WU is an international university that is very aware of its responsibility to society and the research community and acts conscientiously in all that it does.
With more than 6000 students, FH Campus Wien is one of the largest universities of applied sciences in Austria. Students can choose from more than 60 bachelor's and master's degree programs and master courses in the departments of Applied Life Sciences, Building and Design, Health Sciences, Nursing Science, Public Sector, Social Work and Engineering.
Most popular Data Science & Big Data programmes for international students in Vienna
These are the most popular programmes among international students who are looking for a Data Science & Big Data degree in Vienna.
1
Bioinformatics
FH Campus Wien
Bioinformatics develops algorithms and programs to simulate biochemical processes and analyze molecular data. It combines knowledge of biochemical and molecular biological processes in organisms in applied computer science and data management as well as analysis. As part of the system biology, bioinformatics supports both research as well as industrial development and production.
The PhD program in Network Science at Central European University (CEU) is a research-oriented program that provides the only PhD degree in this field in Europe. It offers advanced training in theoretical and computational methods, challenging coursework on the basic concepts and theories of large-scale networks, and hands-on experience in taming massive datasets.
The Logical Methods in Computer Science – LogiCS doctoral program is a PhD degree program, funded by the Austrian Science Fund FWF and run jointly by the three Austrian universities TU Wien (Vienna University of Technology), Graz University of Technology and Johannes Kepler University Linz.
Master of Business Administration - Digital Transformation and Data Science
WU (Vienna University of Economics and Business)
In the MBA Digital Transformation and Data Science from WU (Vienna University of Economics and Business), executives embrace cutting-edge topics and the practical leadership skills that are essential today to best prepare for the unique challenges of digitalization, data science, big data, and digital strategy.
The most common way to assess your English level is by taking a standardised English test, such as:
PTE Academic (Pearson Test of English)
TOEFL iBT (Test of English as a Foreign Language)
IELTS Academic (International English Language Testing System)
C1 Advanced (formerly known as CAE – Cambridge English Advanced)
What makes PTE Academic stand out among these renowned English exams is the use of A.I. (Artificial Intelligence) to correct the answers of tests takers. This ensures that the results are unbiased and offer a 100% objective evaluation. Another great advantage of using A.I. is speed – results are typically available within 2 business days after taking PTE Academic.
Data Science degrees teach students to use scientific techniques to extract insights from data. Big Data studies prepare specialists who work with large collected databases, by showing students how data mining, programming, and data visualisation work, and how to make predictions. Big Data courses approach business adaptability and sustainability and help you understand markets and customer behaviour.
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