Overview
The University of Salzburg is renowned for its commitment to academic excellence and innovative research, particularly within its Data Science programme. This Master’s degree is structured to prepare students for a rapidly evolving field that is vital for various sectors, including business, healthcare, and technology. The curriculum is designed to encompass a wide range of data-related competencies, from statistical analysis to advanced data modelling techniques. Students engage with raw data, transforming it into actionable insights that can influence strategic decision-making in real-world scenarios.
Why Data Science at University of Salzburg?Salzburg has consistently been recognised as one of the most appealing cities for students in Austria, often ranking among the top ten study destinations in Europe. The university boasts a nurturing academic environment, characterised by small class sizes and a personal approach to education. The newly established Department of Artificial Intelligence and Human Interfaces enhances the learning experience, fostering collaboration across various disciplines. The Data Science initiative at Salzburg is notable for being the first of its kind at an Austrian university, having been established in 2016. This initiative has attracted leading scientists, including several younger professors, positioning the university as a prominent international hub for research and innovation.
Tuition Fee BreakdownThe tuition fees for the Data Science programme are structured as follows:
- International Students: EUR 727 per semester
- European Students: EUR 0 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe Data Science curriculum is comprehensive, covering essential topics that prepare students for the demands of the industry. Key areas of study include:
- Applied Statistics
- Data Analytics
- Business Intelligence
- Machine Learning Techniques
- Data Visualisation
- Big Data Technologies
- Ethics in Data Science
This diverse syllabus ensures that graduates are well-equipped to tackle complex data challenges in various sectors.
Careers with Data ScienceGraduates of the Data Science programme find themselves in high demand across multiple industries. Career opportunities span research and development roles, government positions, and various sectors such as healthcare, finance, telecommunications, and logistics. The skills acquired through this programme enable graduates to excel in roles such as Data Analyst, Data Scientist, Business Intelligence Developer, and Research Scientist. The university's strong connections with local and international organisations further enhance job placement prospects for its alumni.
Programme Structure
Courses include:
- Mathematical Statistics
- Applied Statistics
- Databases
- Algorithms and Data Structures
- Statistics, Visualization, and More Using R
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
- Apply before , International
-
Language
Credits
Delivered
Campus Location
- Salzburg, 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
Other requirements
General requirements
- Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a field considered equivalent to one of these. Other students may be admitted conditional on a required completion of additional work worth up to 45 ECTS. Selection of candidates is made on the basis of application supporting documents
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Salzburg and/or in Austria, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents1454 EUR / year≈ 1454 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
EU citizens are exempt from paying tuition fees during the designated study period and the additional semester and have to pay only the Student’s Union fee.
Living costs
Salzburg
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility