Computer Science - Language Technologies and Computational Linguistics
Charles University
About this program
Computer Science - Language Technologies and Computational Linguistics
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.
Admission requirements
Description of verification and evaluation criteria
The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the capability and diligence expected of Charles University students. To apply for our Computer Science, Mathematics or Physics Master's programmes given in English you must
- hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof;
- have sufficient academic background in the relevant fields;
- have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize.
Conditions for admission
Admission to Bachelor's studies is conditioned by completed secondary education confirmed by a school-leaving certificate. Admission to Post-Bachelor studies (Master's programme) is likewise conditioned by completed education in any type of study programme.
For more information about admission requirements and selection processes, please visit the programme's website.
Does this course require proof of English proficiency?
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Learn moreTuition
Total Tuition fee: 140000 CZK / year
Career paths
The graduate 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 and large quantities of both structured and unstructured data, such as information retrieval, question answering, summarization and information extraction, machine translation and speech processing. They are equipped with good knowledge, skills, and experience in software development and teamwork applicable in all areas involving the development of applications aiding human-computer interaction and/or machine learning.
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About this institute
Charles University
Charles University was founded in 1348, making it one of the oldest universities in the world. Yet it is also renowned as a modern, dynamic, cosmopolitan and prestigious institution of higher education. Charles University is ranked amongst the top 2...
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Charles University
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