FI MU Study Catalogue 2025/2026

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Digital Linguistics

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

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)
Spring 2026 (2. term)
Fall 2026 (3. term)
Spring 2027 (4. term)

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)