# Foreign Languages in the Fields of Network Technologies and Artificial Intelligence

**Source**: https://english.spbu.ru/admission/programms/graduate/foreign-languages-fields-network-technologies-and-artificial
**Parent**: https://english.spbu.ru/admission/programms/graduate

45.04.02 
*In Russian*

Level of education Master

Type of instruction Full-time

Duration 2 years

With the additional qualifications ‘Teacher of Additional Education’/ Translator/Interpreter in the Field of Professional and Intercultural Communication’/ and ‘Foreign Language Teacher’

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

Teaching staff

- Svetlana Rubtsova, Candidate of Philology, Associate Professor, Dean of the Faculty of Foreign Languages; translator and interpreter from English; author of textbooks and programmes; author of more than 70 scholarly papers; Member of the Union of Translators of Russia; Member of the European Legal English Teachers’ Association (EULETA); Member of the International Editorial Board of the international journal ‘The Journal of Teaching English for Specific and Academic Purposes’; and Member of the Association of Translator and Interpreter Trainers
- Lilia Timofeeva, Candidate of Philology, Associate Professor in the Department of Foreign Languages in Economics and Law; active consecutive and simultaneous interpreter; graduate of the Junior Faculty Development Programme (JFDP); studied US law at the George Washington University; Head of the Translation Department at the Russian branch of the international oil and gas engineering company Technip (2005–2009). Her research focuses on translation studies, and simultaneous and consecutive interpreting
- Tatiana Dobrova, Candidate of Philology, Associate Professor in the Department of Foreign Languages in Economics and Law; author of more than 30 publications expert in intercultural communication and intercultural professional discourse
- Maria Morozova, Associate Professor in the Department of English in Biology, Medicine and Psychology. Her research focuses on translation studies, professionally oriented translation and interpreting, and lexicology

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

[This webpage may contain outdated information. The programme descriptions and admission requirements for the 2026/2027 academic year are currently being updated. For the latest information on 2026/2027 admission, please visit the Admissions Office website.](https://abiturient.spbu.ru/en/)

[Tuition](https://english.spbu.ru/admission/tuition)

[Create Your Personal Account](https://cabinet.spbu.ru/)