Designed for the AI era, this program forges qualified Data Scientists with a blend of deep theoretical knowledge and practical, project-based experience.
Data Science MSc
4 semesters
3500 EUR /semester
(please note: to be able to obtain an Acceptance Letter, apply for a visa and start your studies, 2-semesters’ tuition fee and some other minor fees must be paid upfront)
Budapest
English
- For September intake: 31 May
- Direct Admission
- Admission with a Foundation
Description of the Program
Óbuda University’s Master of Science program in Data Science provides a comprehensive, English-language education in the high-demand field of information technology. The curriculum is designed to forge experts capable of transforming complex data into actionable insights and predictive models. Students develop deep theoretical knowledge and practical skills in key areas like machine learning, statistics, and big data technologies. The program emphasizes real-world application through a required professional internship and a substantive master’s thesis project. Upon completion, graduates earn the qualification of “Data Scientist,” ready to tackle advanced challenges in industry or research. This rigorous 120-credit degree equips professionals with the technical expertise and ethical understanding necessary for leadership in the data-driven future.
Program aim & competencies
The program aims to train IT professionals capable of analyzing complex data, modeling processes, and conducting research. Graduates will be prepared for doctoral studies. The comprehensive curriculum is designed to develop the following competencies:
- Knowledge: In-depth understanding of data analysis, machine learning, statistics, big data technologies, data security, and legal/ethical aspects of data management.
- Skills: Ability to solve real-world modeling problems, transform and visualize large datasets, conduct independent research, and communicate results effectively in English.
- Attitude & Responsibility: Commitment to continuous learning, professional ethics, teamwork, and responsible handling of sensitive data.
Check out the curriculum of the program.
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