Ing. Radka Brolíková
Consultant
| e‑mail: |
|
|---|
Digital Linguistics
Follow-up Master's degree in full-time form. The language of instruction is Czech.
The programme can be studied only as a single subject.
What will you learn?
The Joint Master Programme in Digital Linguistics will train highly qualified interdisciplinar profile combining knowledge and competencies from the field of computer science, information technology (IT), linguistics and humanities.
Holders of the master’s degree in Digital Linguistics will have a broad set of applied IT skills and will be trained for programming, using and compiling language resources, using and adapting language technologies and autonomously conducting language data analyses. In addition, they will have a high level of competence in communication in at least two languages, will be able to recognise and adjust themselves to all types of written, spoken and digital texts as well as understand the principles of interlingual communication in all forms.
Holder of the master's degree in Digital Linguistics will be employable in various professional environments where technology-assisted language services are developed, offered or used.
Practical training
Practical training tasks are being solved by means of project-related courses of the curriculum. Practical training outside university is not required.
Further information
Career opportunities
Studying Digital Linguistics enables students to gain a broad spectrum of knowledge, skills and experience, allowing graduates to engage in a wide range of jobs in environments where they encounter language-related data in a digital environment.
An ideal place for the graduates are companies from the field of information technology focused on processing natural language data and obtaining information from the text, for example, Google, Seznam.cz, Red Hat, or Moravia.
Other possibilities are positions in applied and basic research, often in collaboration with experts from other disciplines. Graduates can also start their own start-up specializing in the use of digital linguistics methods in a particular area.
Admission requirements
Data from the previous admission procedure (1 Jan – 30 Apr 2026)
Minimum score and numbers of accepted applicants in past years
Study options
Single-subject studies
Students have a pre-defined list of required courses, which are supplemented with selective and elective courses. The student pays full attention to the single field of study chosen.
-
Full-time studies in czech
What will you learn?
Courses – curriculum examples
An example of your study plan:
-
1. semester
- Introduction to Transparent Intensional Logic
- Alghoritmic Descript. of Language
- Foundations of Programming
- History of Computational Linguistics
- Introduction to Corpus Linguistics and Computer Lexicography
- Introduction to Programming and Algorithms
- Introduction to Speech Processing
- Language Typology
- Latest trends in NLP/AI
- Machine Translation
- Mathematical Foundations of Computer Science
- Natural Language Processing
- Natural Language Processing in Practice
- Project from corpus and computational linguistics
- Psycholinguistics
- Vademecum of Czech
- Visualization
-
2. semester
- LLM Tools Project
- Large Language Models
- Information Security and Cryptography
- Basics of Web Development and Markup Languages
- Efficient Use of Database Systems
- History of Linguistics
- Introduction in Corpus Linguistics - Lecture
- Introduction to Information Retrieval
- Machine Learning and Data Mining
- Pragmatics
- Semantic Computing
- Statistics for Computer Science
- Stylometry
- UNIX
-
3. semester
- Foreign Studies - Digital Linguistics
- Natural Language Processing in Practice
- Project from corpus and computational linguistics
- Introduction to Transparent Intensional Logic
- Machine Learning and Natural Language Processing
- Database Systems for Data Analytics
- Advanced machine learning methods
- Computational Lexicography
- Corpus Linguistic Project I
- Introduction to Digital Humanities
- Language Typology
- Linguistic Webinar
- Machine Translation
- Neural Networks
- Probability in Computer Science
- Programming Applications for Social Robots
- Psycholinguistics
- Visualization
-
4. semester
- Advanced Search Techniques for Large Scale Data Analytics
- Algorithms and Data Structures II
- Applied Machine Learning
- Applied Machine Learning Project
- Defence of Thesis
- Diploma Thesis
- Language Modeling
- Similarity Searching in Multimedia Data
- State Exam (MSc degree)
- Tools for theories
- Topics in semantics
Detailed information about study plan courses
Follow-up studies
After graduation, the Digital linguistics master program students can continue to relevant PhD programs (computer science, philology) at the Faculty of Informatics and Faculty of Arts MU or at other universities.
Study information
| Provided by | Faculty of Informatics | |
|---|---|---|
| Type of studies | Follow-up master's | |
| Mode | full-time | Yes |
| combined | No | |
| distance | No | |
| Study options | single-subject studies | Yes |
| single-subject studies with specialization | No | |
| major/minor studies | No | |
| Standard length of studies | 2 years | |
| Language of instruction | Czech | |
| Collaborating institutions |
|
|