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Postgraduate Diploma in Artificial Intelligence

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Faculty: Informatics

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Academic discipline: Computer Science and Information Technology

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Qualification: AI Expert

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Starting date: September/February


Language requirements: English language proficiency (TOEFL 547 /IELTS 6.0 /oral examination)

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Academic requirements: Relevant bachelor’s degree in Information Technology

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Duration: 2 semesters

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ECTS credits: 60 credits

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Tuition Fee: 8,000 USD/year​​

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One-time fees: Application fee 150 USD, entrance procedure fee 350 USD

Short description:

The Faculty of Informatics at 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 possess basic IT knowledge. The training will be useful for the younger generation of newcomers to the profession, as well as for those who have not yet had the opportunity to learn about these tools during their studies over the last few decades. Our aim is to train professionals who can develop state-of-the-art applications using artificial intelligence, both offline and in the cloud, utilizing the latest technological processes. The preparation and launch of the training have been supported by several industrial partners, including Bosch, EPAM, General Electric, Microsoft, NI, and NVIDIA. To ensure the global nature and measurability of the training, participants can optionally obtain industry certifications, notably from NVIDIA (the current list can be found here: Nvidia Deep Learning Institute - Debreceni Egyetem) and Microsoft (e.g., Azure Fundamentals, Azure AI Fundamentals, Azure AI Solutions, Azure AI Engineer Associate). The list of certificates available at the Faculty is constantly expanding, following international trends and technological developments.​​

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Lecture, seminar: 37%

Practice: 63%

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Main subjects typically include (this list is indicative and may change):

 

  • Year 1: Machine learning, Data protection and cryptography, Generative methods, Parallel computing, AI programming, Autonomous vehicles, Efficient data visualization, Cloud computing, Reinforcement learning.

  • Year 2: Image processing based on neural networks, Natural language processing and text mining, AI frameworks, Big Data handling techniques, Thesis work.

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Career prospects: The courses and their contents have been designed to overlap as much as possible with industry certifications. The preparatory courses integrated into the training will enable students to obtain international industry certificates in a supervised examination environment at the international examination center of the Faculty of Informatics, as well as optionally at other locations. This will allow graduates to add further certificates to their professional portfolio in addition to the certificate of completion of the specialized training.

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​For more information about the program, please check the course Bulletin​​​​​

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Are you considering applying for this program?

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