Overview
The Master of Science in Data Science at the University of Vienna is a comprehensive programme that combines theoretical knowledge with practical application, tailored to meet the challenges posed by the modern data landscape. This interdisciplinary course is a collaborative effort involving faculties from Business, Economics and Statistics, Computer Science, Historical and Cultural Studies, Mathematics, as well as Philological and Cultural Studies. It is structured to provide students with a robust foundation in data science, which is increasingly recognised as a pivotal element across various sectors, including business, healthcare, and the humanities.
Why Data Science at the University of Vienna?The University of Vienna is renowned for its academic excellence and innovative approach to education. The Data Science programme is designed to foster a rich learning environment, encouraging interdisciplinary collaboration among students from diverse academic backgrounds. This unique structure not only enhances learning but also prepares students for real-world applications of data science.
Tuition Fee BreakdownThe tuition fee for international students is set at EUR 752 per year. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum encompasses a variety of core modules and specialisations, ensuring a well-rounded education. Key components of the programme include:
- Mathematical and Statistical Foundations
- Optimisation Methods
- Machine Learning
- Scalable Algorithms
- Visual Data Analysis
- Doing Data Science
- Ethical and Legal Issues
- Specialisation in Areas of Data Science
- Master’s Thesis
This structure allows students to delve deeply into specific areas of interest while gaining a comprehensive understanding of the fundamental principles of data science.
Careers with Data ScienceGraduates of the Data Science programme are well-prepared for a variety of career paths. They typically find employment in sectors that require expertise in data analysis, such as technology, finance, healthcare, and academia. Alumni have reported successful careers in prominent organisations, where they leverage their skills to tackle complex data challenges. The programme equips students with the ability to statistically analyse large datasets, develop algorithms, and implement data-driven solutions, making them highly sought after in the job market.
Programme Structure
Courses include:
- Mathematical & Statistical Foundations
- Mining Massive Data
- Optimisation
- Visual & Exploratory Data Analysis
- Ethics & Legal Issues
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Vienna, Austria
Disciplines
Data Science & Big Data View 16 other Masters in Data Science & Big Data in AustriaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
- List of degree programmes
- Admission with a degree from the University of Vienna
- Admission with a degree from another university
- Degree programmes with an entrance exam procedure
- Visiting Master
Student Insurance via Studyportals Partner
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Tuition Fees
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International Applies to you
Applies to youNon-residents752 EUR / year≈ 752 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
Citizens of an EU/EEA country or Switzerland are exempt from paying the tuition fee for a specified time period.
Living costs
Vienna
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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