FI MU Study Catalogue 2025/2026
follow-up master's program (Czech) without specializations supporting Major/Minor study
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.
Graduates of the program will find employment, for example, in the design and development of conversational systems and artificial intelligence systems based on working with language or the creation and use of complex tools for analyzing large texts in different languages, i.e. generally as specialists in the application of IT in processing language data. Graduates will master professional terminology in at least two languages and will be able to use and build linguistic resources and improve existing language technologies using programming tools.
Requirements for successful graduation
- Obtain at least 120 credits overall and pass the final state exam.
- Obtain 20 credits from SDIPR course and successfully defend Master's Thesis. See more details.
- Pass all the compulsory and elective courses of the program and selected specialization with the highest possible graduation form (unless explicitly stated otherwise).
- To enroll in the 3rd semester, i.e. before starting the internship abroad, students must have completed at least 54 credits. In exceptional cases, students can apply for an exemption upon completing at least 51 credits.
Compulsory courses of the program
MV013
|
Statistics for Computer Science | |
---|---|---|
PA153
|
Natural Language Processing | |
SA400
|
Foreign Studies - Digital Linguistics | |
FF:CJBB105
|
Introduction in Corpus Linguistics - Lecture | |
FF:CJJ60
|
History of Linguistics | |
Foundations Pass at least 2 courses of the following list | ||
IB000
|
Mathematical Foundations of Computer Science | |
IV029
|
Introduction to Transparent Intensional Logic | |
FF:CJJ14
|
Vademecum of Czech | |
FF:PLIN041
|
History of Computational Linguistics | |
Introduction to programming Pass at least 1 course of the following list | ||
IB111
|
Foundations of Programming | |
IB113
|
Introduction to Programming and Algorithms | |
Application Oriented Electives I Pass at least 1 course of the following list | ||
PV061
|
Machine Translation | |
PV251
|
Visualization | |
FF:PLIN025
|
Latest trends in NLP/AI | |
FF:PLIN055
|
Corpus and computational linguistics project | |
FF:CJJ63
|
Psycholinguistics | |
Application Oriented Electives II Pass at least 1 course of the following list | ||
PA107
|
LLM Tools Project | |
PB138
|
Basics of Web Development and Markup Languages | |
PV211
|
Introduction to Information Retrieval | |
FF:CJBB66
|
Pragmatics | |
Methods and Tools I Pass at least 1 course of the following list | ||
PB095
|
Introduction to Speech Processing | |
IA161
|
Natural Language Processing in Practice | |
FF:CJBB184
|
Language Typology | |
FF:PLIN082
|
Alghoritmic Descript. of Language | |
Methods and Tools II Pass at least 2 courses of the following list | ||
IB047
|
Introduction to Corpus Linguistics and Computer Lexicography | |
PV004
|
UNIX | |
PV056
|
Machine Learning and Data Mining | |
PV080
|
Information Security and Cryptography | |
PA152
|
Efficient Use of Database Systems | |
FF:PLIN037
|
Semantic Computing | |
FF:PLIN077
|
Stylometry | |
Advanced Topics Pass at least 2 courses of the following list | ||
IV003
|
Algorithms and Data Structures II | |
PA128
|
Similarity Searching in Multimedia Data | |
PA154
|
Language Modeling | |
PA212
|
Advanced Search Techniques for Large Scale Data Analytics | |
FF:CJJ45
|
Topics in semantics | |
FF:PLIN065
|
Tools for theories | |
FF:PLIN068
|
Applied Machine Learning | |
FF:PLIN069
|
Applied Machine Learning Project | |
SDIPR
|
Diploma Thesis | |
SOBHA
|
Defence of Thesis | |
SZMGR
|
State Exam (MSc degree) |
Study option: Study plan for local students
Compulsory courses and other obligations of the study option
Internshipe abroad equal to 30 credits is expected in the third term. |
Recommended course of study
Fall 2025 (1. term)
-
PA153
Natural Language Processing - Choice: Any course from Foundations secion
- Choice: Any course from Foundations secion
- Choice: Any course from Introduction to programming secion
- Choice: Any course from Methods and Tools I secion
- Choice: Any course from Application Oriented Electives I secion
Spring 2026 (2. term)
-
MV013
Statistics for Computer Science -
FF:CJBB105
Introduction in Corpus Linguistics - Lecture -
FF:CJJ60
History of Linguistics - Choice: Any course from Methods and Tools II secion
- Choice: Any course from Methods and Tools II secion
- Choice: Any course from Application Oriented Electives II secion
-
SDIPR
Diploma Thesis
Fall 2026 (3. term)
- Internship abroad
-
SA400
Foreign Studies - Digital Linguistics
Study option: Study plan for students from abroad
Students are expected to collect 30 credits within the term.
Compulsory courses and other obligations of the study option
IA161
|
Natural Language Processing in Practice | |
---|---|---|
FF:PLIN055
|
Corpus and computational linguistics project | |
Selected Topics in Digital Linguistics Pass at least 3 courses of the following list | ||
PA164
|
Machine Learning and Natural Language Processing | |
PA220
|
Database Systems for Data Analytics | |
PV021
|
Neural Networks | |
PV061
|
Machine Translation | |
PV251
|
Visualization | |
IV029
|
Introduction to Transparent Intensional Logic | |
IV111
|
Probability in Computer Science | |
FF:CJJ63
|
Psycholinguistics | |
FF:CJBB184
|
Language Typology | |
FF:PLIN035
|
Computational Lexicography | |
FF:PLIN064
|
Introduction to Digital Humanities | |
Projects Obtain at least 4 credits by passing courses of the following list | ||
PB106
|
Corpus Linguistic Project I | |
PV277
|
Programming Applications for Social Robots | |
FF:PLIN075
|
Linguistic Webinar | |
FF:PLIN081
|
Advanced machine learning methods |
Recommended course of study
Fall 2026 (3. term)
-
IA161
Natural Language Processing in Practice -
FF:PLIN055
Corpus and computational linguistics project - Choice: Any course from Selected Topics in Digital Linguistics secion
- Choice: Any course from Selected Topics in Digital Linguistics secion
- Choice: Any course from Selected Topics in Digital Linguistics secion
- Choice: Any course from Projects secion