Charles University

Overview

The Master’s program in Computer Science - Language Technologies and Computational Linguistics at Charles University offers an in-depth exploration of natural language processing (NLP). This program merges formal methods with contemporary machine learning techniques to develop systems capable of understanding and generating human language. Students can choose to focus on the theoretical aspects of language description or engage with technology-driven methods, including machine learning and deep learning applied to linguistic data.

What you'll study

The core curriculum integrates foundational computation and formal methods with specialized modules in NLP and language technologies.

• Lambda Calculus and Functional Programming
• Statistical Methods in Natural Language Processing
• Information Retrieval
• Boolean Functions and Their Applications
• Machine Learning in Bioinformatics - focusing on applied machine learning foundations relevant for modeling complex data

Throughout the program, students will learn to build NLP systems, evaluate and understand uncertainties in language models, and apply formal and algorithmic reasoning to language data. A capstone or thesis project is typically included, though specific details should be confirmed with the university.

Entry requirements

Applicants should possess a Bachelor’s degree (or be nearing completion) in a relevant field such as computer science, mathematics, or computational linguistics, or hold a Master’s degree. The following documentation is typically required:

• Certified copies of diplomas and transcripts
• Proof of sufficient academic background in relevant areas
• Evidence of English proficiency (see below for details)

Career prospects

Graduates of this program will be well-equipped for a variety of roles in the technology sector, particularly in fields related to natural language processing, computational linguistics, and language technologies. Potential career paths include roles in research and development, software engineering, data analysis, and artificial intelligence, among others. This qualification provides a strong foundation for further academic pursuits or immediate entry into the workforce in a rapidly evolving industry.