Tuition Fee
USD 8,000
Per semester
Start Date
Medium of studying
Blended
Duration
2 semesters
Details
Program Details
Degree
Diploma
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 8,000
Intakes
| Program start date | Application deadline |
| 2025-09-01 | - |
| 2025-02-01 | - |
About Program
Program Overview
Postgraduate Diploma in Artificial Intelligence
Faculty and Academic Discipline
- Faculty: Informatics
- Academic discipline: Information Technology
- Qualification: AI Expert
Starting Date and Language Requirements
- Starting date: September/February
- Language requirements: English language proficiency (TOEFL 547 / IELTS 6.0/oral examination)
Academic Requirements and Duration
- Academic requirements: at least bachelor’s degree in Information Technology
- Duration: 2 semesters
ECTS Credits and Tuition Fee
- ECTS credits: 60
- Tuition fee: 8,000 USD/semester
- Other fees: application fee 150 USD, entrance procedure fee 350 USD
Short Description
The Faculty of Informatics of the University of Debrecen offers a 1-year (2 semesters) advanced training course in Artificial Intelligence (AI Expert) in English in a hybrid format. The aim of the course is to provide high-level, state-of-the-art training in artificial intelligence for those who already have a basic IT knowledge.
Career Prospects
The courses and their contents have also been designed to overlap as much as possible with the industry certifications. The preparatory courses integrated into the training will thus enable students to obtain international industry certificates in a supervised examination environment at the international examination center of the Faculty of Informatics.
Main Subjects
- Machine learning
- Data protection and cryptography
- Generative methods
- Parallel computing
- AI programming
- Autonomous vehicles
- Efficient data visualization
- Cloud computing
- Reinforcement learning
- Image processing based on neural networks
- Natural language processing and text mining
- AI frameworks
- Big Data handling techniques
- Thesis work
Lecture, Seminar, and Practice
- Lecture, seminar: 37%
- Practice: 63%
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