Study programmes

Computer Science - Language Technologies and Computational Linguistics

Study program:
Computer Science - Language Technologies and Computational Linguistics
SP code:
N0688A140011
Study form:
full-time
Study type:
Master's (post-Bachelor)
Standard duration of study in years:
2
Language of instruction:
English
Title:
Mgr.
Title:
Yes - RNDr.
More details
SP name in Czech:
Informatika - Jazykové technologie a počítačová lingvistika
SP name in Latin:
Studia informatica - linguarum technologia et linguistica computatoria
SP profile:
academically oriented

SP characteristics

The aim of the study programme “Computer Science – Language Technologies and Computational Linguistics” is to get the graduates ready for research in the area of natural language processing and development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, information extraction and summarization, machine translation, text analytics, grammar checking, automatic speech recognition, spoken dialogue systems, and speech synthesis. The emphasis is put on deep understanding of formal mathematical and algorithmic foundations and their practical applicability in natural language processing tasks. Students of the programme have the possibility to focus either on theoretical aspects of formal description of natural languages or on the technology-oriented side (state-of-the-art methods in statistics, machine learning and deep learning) for language data processing.
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Graduate profile for the public:
The graduate of the study programme “Computer Science – Language Technologies and Computational Linguistics” is familiar with mathematical and algorithmic foundations of automatic natural language processing, with theoretical foundations of formal description of natural languages, as well as with state-of-the-art machine learning techniques. Graduates have the ability to apply the knowledge acquired during their studies in the design and development of systems automatically processing natural language (written and spoken) and large quantities of both structured and unstructured data, such as information retrieval, question answering, summarization and information extraction, machine translation and speech processing. The graduate is well prepared for doctoral studies in the area of computational linguistics and language technologies as well as for a professional career both in public and private sectors. Given the general applicability of machine learning and data driven methods, the graduate is well equipped to use these methods not only in natural language processing tasks (in technological companies such as Google, Facebook, Amazon, Apple, IBM, Seznam.cz) but also in other domains, such as any artificial intelligence-related fields, finances, medicine, and other areas where large quantities of both structured and unstructured data are being analyzed. The graduate is equipped with good knowledge, skills, programming and experience in software development and teamwork applicable in all areas involving the development of applications aiding human-computer interaction and/or machine learning.

Related accreditations

Faculty Name of the study program Language of instruction Study form
Matematicko-fyzikální fakulta Informatika - Jazykové technologie a počítačová lingvistika čeština prezenční

Teaching provided by

Faculty:
Cooperating institutions:
No
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Foreign university joint diploma type:
No
External department:
No

Classification

Area of education:
  • Informatics

SP structure

Specialisation:
No
Double-curriculum study:
No
Data for persons with disabilities
Contact person for persons with disability:
Mgr. Veronika Jonáková
Web page for persons with disability:
Further information about the study of persons with disability:

Personal provision

Garant SP:
  • doc. Mgr. Barbora Vidová Hladká, Ph.D.

Instruction

Admission procedure requirements:
Study programme (branch) is open for applicants for the academic year 2026/2027:
Admission procedure requirements in the acaademic year 2025/2026:

Can be studied in combination

No combinations have been found