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IT DIGITAL MSC PROGRAMME: Data Science
Translation of data into actionable knowledge is a challenging professional job. Still, it is also a burgeoning process that involves a diverse set of experts, considers the long-term preferences of organizations, and considers ethical and legal aspects at the societal level. A data scientist needs many skills to perform and coordinate the analytic workflow besides knowledge from information theory, statistics, machine learning, data science, and artificial intelligence. The human-centred approach to data analysis provides a unified framework to drive the data analysis process toward trustworthy and beneficial solutions.
See more on the primary motivations, structure, and career opportunities of the DSC programme on the page at EIT Digital.
Return to all programmes at BME VIK
SPECIAL ASPECTS OF DATA SCIENCE AT BME VIK
BME-VIK offers "Data Science and Artificial Intelligence" covering directly several HCIDA learning outcomes. The 1st year of the DS-AI MSc specialization includes two theoretical/technical courses on machine learning and deep learning and two laboratories on practical data analysis and the complete workflow of data analysis, machine learning, and AI product development. The 2nd year of the DS-AI specialization focuses on human-centred intelligent data analysis.
EXPEXTED IMPACT On ECONOMY
The acceptance of a product or service by consumers in contemporary society never depended this much on the externalities of consumption and this little on the direct product features. The modern consumer has a holistic worldview in which consumption is an endorsement of a company and its values. To be successful, the engineering process should follow a human-centred design principle to ensure the ethical involvement of the public. It requires a new type of engineering entrepreneur: an ethical systems architect who can coordinate a data analysis workflow and an AI product lifecycle in this new economy.
EXPECTED IMPACT ON SOCIETY
New regulations of ethical data analysis and AI are expected to provide long-term prosperity by ensuring a fruitful, mutually beneficial relationship between information technologies and society by avoiding rejection by the technologically enlightened European consumer. The IT sector can provide more and more complex support for society, and the community provides data and feedback for more advanced technological developments. The human-centred data science and AI approaches are crucial to maintaining the ever more critical public's trust fuelling rapid technological developments.
COMPLETING THE OTHER YEAR
The studies at BME-VIK are in the exit year of the programme. The following universities offer and deliver the entry years: Eindhoven University of Technology (TUE), The Netherlands; KTH Royal Institute of Technology (KTH), Sweden; Technical University of Berlin (TUB), Germany; University of Bologna (UNIBO), Italy; University of Turku (UTU), Finland.
SUBJECTS AND LEADING TEACHERS
Compulsory courses (40 ECTS):
Third semester (fall, 20 ECTS):
- Artificial intelligence and Ethics* (2 ECTS)
- Artificial Intelligence and Law* (2 ECTS)
- Innovation & Entrepreneurship Study (6 ECTS)
- Diploma Thesis Design 1 (10 ECTS)
Fourth semester (spring, 20 ECTS):
- Diploma Thesis Design 2 (20 ECTS)
Elective courses (min. 5 ECTS):
- Privacy and Security in machine learning* (5 ECTS)
- Trustworthy AI and data analysis* (5 ECTS)
- Intelligent data analysis and decision support* (5 ECTS)
- Engineering Ethics* (2 ECTS)
- Complex Federated Models in Machine Learning* (3 ECTS)
- User-centered data-driven and AI-based systems* (5 ECTS)
- Artificial general intelligence* (3 ECTS)
Total credits for the whole exit year: 60 ECTS
Scholarship for top nonEU/EEA students
The Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics (BME), offers scholarships to top nonEU/EEA students enrolled in BME EIT Digital programs. The grant is merit-based, and the ranking is based on the accepted application submitted to EIT Digital Master School. The BME scholarship is up to 2 500 EUR per semester and cannot exceed 5 000 EUR per semester with the EIT Digital tuition fee waiver.
Program coordinators
Ethical data analysis and artificial intelligence
Mihály HÉDER, PhD, habil.
associate professor
head of the department
Dept. for Philosophy and History of Science (FTT)
Faculty of Economic and Social Sciences (GTK)
Budapest University of Technology and Economics (BME)
Intelligent data analysis
Péter Antal, PhD
associate professor
head of the Artificial Intelligence Group
head of the Computational Biology Laboratory
Department of Measurement and Information Systems
Faculty of Electrical Engineering and Informatics (VIK)
Budapest University of Technology and Economics (BME)
Contact:
Péter Antal founded the Computational Biomedicine Laboratory (ComBineLab) in 2009, and has been the head of the Artificial Intelligence Group since 2019. He has published around 150 papers in intelligent data analysis, Bayesian computation, causality research, decision support, bioinformatics, and chemoinformatics.
INDUSTRIAL PARTNERS
There is strong cooperation with the industry in the field of artificial intelligence. The most appropriate link to this cooperation is the thesis work at industrial partners. Several research centers and other artificial intelligence developers reside in Budapest, like:
- E-Group ICT Software Zrt.