Master’s degree · Dedicated AI or machine learning program
Artificial Intelligence, MSc
University of Debrecen · Debrecen, Hungary
Currently offered, next intake unconfirmed
- Award
- Artificial Intelligence, MSc
- Subject
- Artificial intelligence, Machine learningFull time
- Format
- On campus2 years, 4 academic semesters, 120 ECTS
- Price
- $7,500per year, as published (no year stated)
About this program
Four-semester English-taught MSc from the Faculty of Informatics covering AI foundations, machine learning, deep learning, NLP, generative AI and MLOps, with a professional training placement and thesis.
- School and department
- University of DebrecenFaculty of Informatics
- Subject or specialization
- Artificial intelligence, Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Master’s degree
- Exact award
- Artificial Intelligence, MSc
- Credential type
- DegreeA degree awarded by a degree-granting institution.
- Academic credit
- Credit status not stated
- Awarding institution
- University of Debrecen
- Access and price model
- Access terms not statedThe official page does not state the price model.
Structure and schedule
- Duration
- 2 years, 4 academic semesters, 120 ECTS
- Delivery
- On campusTaught at the listed campus.
- Physical attendance
- Regular physical attendance
- Schedule
- Full time
- Required components (internships, residencies, exams, visits)
- Professional training (at least 6 weeks and 240 work hours), thesisShown separately from the teaching duration.
- Credits
- 120 ECTSCredit systems differ between countries and institutions.
- Teaching location
- University of DebrecenEgyetem tér 1., H-4032 Debrecen
Admissions, prerequisites and intakes
- Programming
- Not stated
- Mathematics
- Not stated
- Prior degree
- Required
- Work experience
- Not stated
BSc in computer science, computer engineering or business informatics, or at least 50 credits in relevant areas.
- Academic requirements
- BSc in Computer Science, Computer Engineering or Business Informatics, or at least 50 credits in mathematics/computer science and IT
- International applicants
- The provider states that international students may apply
- Language requirements
- Upper-B2 English
Fees
Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.
Curriculum, assessment and projects
As published by the provider. None of this guarantees employment, admission or professional certification.
- Curriculum
- Core subjects include machine learning, deep learning, NLP, generative AI and AI engineering / MLOps; differentiated electives; professional training and thesis.
- Project or capstone
- Thesis 1 and Thesis 2
- Internship
- At least 6 weeks and 240 work hours
Sources and verification
Not published on the program’s source pages: dated intake or deadline.
Sources and how this was checked
Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.
Sources (checked 1 November 2026)