Postgraduate Diploma in Artificial Intelligence

Academic discipline: Information Technology

Qualification: AI Expert

Starting date: September/February

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

Academic requirements: at least bachelor’s degree in Information Technology

Duration: 2 semesters
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. 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 in the last decades during their studies. Our aim is to train professionals who can develop state-of-the-art applications using artificial intelligence, both offline and in the cloud, using the latest technological processes. The preparation and launch of the training has been supported by a number of industrial partners, including Bosch, EPAM, General Electric, Microsoft, NI, NVIDIA. To ensure the global nature and measurability of the training, participants can optionally obtain industry certifications, notably 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 Solution, Azure AI Engineer Associate). The list of certificates available at the Faculty is constantly expanding, following international trends and technological developments.

Lecture, seminar: 37%

Practice: 63%

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

Semester	Main subjects
1	Machine learning, Data protection and cryptography, Generative methods, Parallel computing, AI programming, Autonomous vehicles, Efficient data visualization, Cloud computing, Reinforcement learning
2	Image processing based on neural networks, Natural language processing and text mining, AI frameworks, Big Data handling techniques, Thesis work

More information about the program can be found here.

You can reach the program bulletin on this link.

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, but also optionally at other locations, and will allow graduates to add further certificates to their professional portfolio in addition to the certificate of completion of the specialized training.