Roland Molontay (born 1991) obtained his PhD degree in network and data science from Budapest University of Technology and Economics (BME). He was a visiting PhD student at Brown University in 2016. Currently he holds a research position at MTA-BME Stochastics Research Group and he also teaches mathematics and data science at BME for undergraduate and graduate students. He has been participating in many successful data intensive R&D projects with renowned companies (such as NOKIA-Bell Labs) throughout the years. He has been awarded the Gyula Farkas Memorial Prize in 2020 for his outstanding work in applied mathematics. He is the founder and leader of the Human and Social Data Science Lab at BME.
Tailored to the needs of computer science and software engineering undergraduates in North American colleges and universities in their sophomore through senior years, AIT offers semester-long programs. The program is made up of four course groups, each containing several different course offerings:
Foundational Courses in Computer Science
Creative Design and Entrepreneurship
Humanities Courses Related to Hungary’s Rich Cultural Heritage
All classes are conducted in English at AIT's state-of-the-art campus on the lovely banks of the Danube River. Students live in vibrant neighborhoods of Budapest and have ample opportunities to interact with Hungarian students and explore Hungary and Europe.
AIT is small and friendly, with typical class sizes of 10-15 students. Recent U.S. students have come from Yale, Brown, MIT, Williams, Carleton, Grinnell, Harvey Mudd, among several others. The program also includes a number of Hungarian students.