This Master of Science in Data Science for Sustainability is designed for individuals aiming to become leaders in data-driven sustainability solutions. Over four semesters, you will gain expertise in advanced data science techniques while focusing on environmental and societal impact. The program bridges technical skills with practical applications, enabling you to analyze complex datasets, derive insights for policy-making, and develop data-driven solutions for global ecological and economic challenges. It is one of the few programs in Central Europe specifically tailored to sustainability issues, offering a unique combination of technical rigor and real-world application through projects with industry or government partners.
The program is structured over four semesters, integrating foundational data science concepts with sustainability principles. Students will engage in coursework, practical projects, and a master's thesis. An optional internship can be pursued through the Industry Excellence Program.
Graduates of the MSc in Data Science for Sustainability are prepared for roles that combine data analytics expertise with a focus on environmental and social impact. The program equips students to address complex global challenges in various sectors.
English proficiency proof must be from within the last two years. Exceptions may be granted for native English speakers or those who completed their entire secondary education in English at recognized International Schools (American, British, or IB curricula). The admissions committee reserves the right to request additional evidence of English proficiency.
Tuition fees are per semester and cover classroom study and university services. They do not include housing or other living costs. Fees are subject to bi-annual adjustment according to the inflation index. Options for full payment (3% discount) or yearly payment (1.5% discount) are available.
Applicants need a Bachelor's Degree of at least 3 years duration with a quantitative focus in fields like Computer Science, Data Science, Environmental Sciences, or Statistics. Proof of English proficiency at C1 level (e.g., IELTS 7.0 overall with no sub-score below 6.5, or TOEFL iBT 95) is also required, valid within the last two years.
The Master of Science in Data Science for Sustainability is designed to be completed over four semesters, totaling 120 ECTS credits.
Tuition fees are €7,000 per semester for all students, covering classroom study and university services. These fees do not include housing or other living costs and are subject to bi-annual adjustment.
Graduates are prepared for roles such as Data Scientist, Sustainability Analyst, ESG Consultant, or Climate Data Specialist, combining data analytics expertise with a focus on environmental and social impact.
For Fall intake, the first application round deadline is March 15th. Specific deadlines vary for EU/EEA citizens, non-EU/visa applicants, and 90-day visa-free entry applicants for both Fall and Spring semesters.
Yes, the Graduate Excellence Scholarship is available on a merit-based. To be considered, you need to apply for admission and indicate your interest in scholarships.