RUDN University introduces voluntary mode of classes attendance

RUDN University introduces voluntary mode of classes attendance

According to recommendations of the Ministry of science and higher education and the order of the Mayor of Moscow, RUDN introduces voluntary classes attendance mode.

All lectures will be in distance mode using online technologies. All seminars and practical classes will be in 2 formats - intramural and distant. Online studies will comply with individual study plans.
Ask questions at information@rudn.ru and call +7 (499) 936-87-87
 

News
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Education
31 Jan
RUDN University Master’s research on the Arctic and the Far East wins the young political scientists’ articles contest

Master student in political science Alexander Belkov became the best young researcher in the international competition “The best article of a young political scientist — 2022” announced by the journal “Russian Political Science”. Read a brief interview with Alexander about the importance of humanitarian research in the Arctic, career interests and politics without borders.

Education
02 Dec 2022
Languages and Translation in the Context of Intercultural Communication

On November 23, 2022, Chev. Prof. Mario Pace, (Ph.D. (Melit), Associate Professor, Head of the Department, Languages and Humanities Education, Faculty of Education, University of Malta, language consultant to the Minister of Education) gave lecture entitled “Languages and Translation in the Context of Intercultural Communication” within the framework of the academic and methodological online seminar of the Foreign Languages Department of the Agrarian and Technological Institute of RUDN University held via MS Teams. The event attracted an audience of more than 80 guests.

Education
06 Oct 2022
RUDN students win the translators’ contest

RUDN University students are among the winners and prize-winners of the Second International Student Contest of Professionally Oriented Translation, which was attended by 876 participants from 6 countries. 1,316 works were presented in 11 categories of the competition. Over 160 were disqualified for machine translation.