Foreign Languages in the Fields of Network Technologies and Artificial Intelligence
45.04.02 In Russian
Level of education Master
Type of instruction Full-time
Duration 2 years
Programme description
- The Master’s degree programme in Foreign Languages in the Fields of Network Technologies and Artificial Intelligence is an innovative interdisciplinary programme in the field of modern linguistics, which implies the convergence of humanities, linguistic, and technical knowledge. The degree provides additional qualifications as a teacher in extracurricular education, a translator in the field of professional and intercultural communication, and a foreign language teacher
- The programme is designed for those who wish to become highly skilled translators with knowledge of modern word processing tools and language technologies
Main courses
- English for Artificial Intelligence, Machine Learning and Deep Learning
- Second foreign language (Chinese / Spanish / French / German / Italian / Turkish / Arabic / Persian)
- Translation theory and practice
- Written Translation
- Interpreting in the field of networks and computer technology
- Computer-aided translation
- Translation quality assessment and management
- Fundamentals of network technologies (topology, protocols, routing)
- Basics of machine learning. Neural Networks (in English)
- Projects and practical training in the field of artificial intelligence and network technologies
- Natural language processing (textual data analysis, information extraction, semantic analysis and text modelling) (in English)
- Artificial Intelligence and the Internet: Current Perspectives and Opportunities
- Network Technologies and Information Warfare: Analysis and Defence
- Artificial Intelligence Ethics and Legislation
Our advantages
- Students master two foreign languages
- Students acquire practical skills in translation and interpreting, editing and proofreading, participate in translation competitions, academic and professional conferences, collaborative projects and research, master research methods and the theory and practice of literary analysis when working with different types of texts, be able to produce, edit and proofread bilingual documentation, apply artificial intelligence methods in linguistic and philological projects
- Students will be able to teach, research, advise and provide operational support on issues such as machine learning, building text corpora, developing and implementing organisational culture, implementing terminology bases