

For students inclined to work as IT entrepreneurs in the future, AIT provides a great opportunity to develop their skills and aptitude for business.
Given the fact that the world's most accomplished IT entrepreneurs were trained as engineers rather than business administrators, AIT's approach to entrepreneurship is shaped by the specific characteristics of the IT industry. AIT's courses are taught by Hungary's leading IT entrepreneurs with vast experience in internationally successful companies and software product development.
These courses fill important gaps in contemporary IT education by focusing on the importance of user-centered product development, and by fostering cross-cultural skills of development and adaptation.
What's more, Ernő Rubik's contribution provides an exceptional opportunity for students to gain a better understanding of the concept of 3D design both on and off the computer screen.
| Title | Faculty | Duration |
| Ernő Rubik | weeks 1 – 14 | |
| Gábor Bojár | weeks 1 – 14 | |
| Gyuri Juhász | weeks 1 – 14 | |
| Tamás Hajas | weeks 1 – 7 | |
| Tamás Hajas | weeks 8 - 14 | |
| László Szirmay-Kalos | weeks 1 - 7 | |
| Gergely Vass | weeks 8 - 14 |
Detailed course descriptions will be available soon.
Students may select one or more courses to deepen their knowledge in the foundations of computer science. The world’s very first graph theory course was offered at the Budapest University of Technology and Economics some 80 years ago. The lecturer was Professor Dénes Kőnig, author of the first book on graph theory; his students included Paul Erdős, Tibor Gallai, Paul Turán and other pioneers of the subject. Based on this unique tradition, various courses are offered in classical graph theory, combinatorial optimization, theory of computing, and declarative programming.
Courses offered:
| Title | Faculty | Duration |
| János Kertész, László Barabási-Albert, Péter Csermely | weeks 1 – 14 | |
| Péter Szeredi | weeks 1 – 14 | |
| Gábor Simonyi | weeks 1 – 14 | |
| Dávid Szeszlér | weeks 1 – 14 | |
| Gyula Y. Katona | weeks 1 – 14 | |
| András A. Benczúr, András Lukács | weeks 1 – 7 | |
| András A. Benczúr, András Lukács | weeks 8 – 14 | |
| Katalin Friedl | weeks 1 – 14 | |
Detailed course descriptions will be available soon.
We are witnessing a dramatic expansion in the areas of genomics and systems biology, and their immediate interaction with translational research in the pharmaceutical and biotech industries.
Building on early applications of computer science in the field of biology, bioinformatics research requires input from the diverse disciplines of mathematics and statistics, physics and chemistry, and medicine and pharmacology. AIT students interested in bioinformatics will be introduced to this multidisciplinary perspective and its consequences for academic and industrial environments.
A key recent development in systems biology is bioinformatics, which is becoming increasingly successful at managing huge amounts of biological data. AIT brings internationally-acclaimed scholars in this exciting new field together with professionals and business people committed to industrial/software applications for this cutting-edge research.
Offered courses:
| Title | Faculty | Duration |
|
András Falus, Péter Antal |
weeks 1 – 14 |
|
|
István Miklós |
weeks 8 – 14 |
|
|
András Aszódi |
weeks 1 – 14 |
|
|
Gábor I. Csonka |
weeks 1 – 7 |
|
|
Gábor I. Csonka |
weeks 8 – 14 |
Detailed course descriptions will be available soon.
Detailed course descriptions will be available soon.