7 Computational Mathematics Master's Degree Programs

The Master's Degree in Bioinformatics for Computational Genomics program aims to form graduates with knowledge about the molecular basis of biological systems, the structure and function of biological molecules in the cellular processes, the technologies, and platforms for the analysis of genomes, the tools for bioinformatic and genomic analysis, and the statistical and computational methodologies for the analysis of biomolecular data.

The Department of Computer Sciences offers graduate courses in computer science. In addition, a joint media arts and computer science degree is offered by the Department of Computer Science and the Department of Communication and Fine Arts. The Department of Computer Science trains students in the fields of computer science.

The Computational Mathematics program is devoted to the development, analysis, algorithmization, and implementation of methods for the computer processing of mathematical models. It represents a transition from theoretical mathematics to practically useful results. An emphasis is placed on the creative use of information technology and the production of programming applications. An integral part of the program is the verification of employed methods. The study is a natural continuation of the bachelor's program General Mathematics, branch Numerical Analysis and Mathematical Modelling at the Faculty of Mathematics and Physics of Charles University. The program Computational Mathematics is designed in such a way that it enables to admit also students who finished a bachelor's study of Mathematics of another branch or at another university, requiring that they complete the missing knowledge. The students will first obtain knowledge of the modern theory of partial differential equations, linear and nonlinear functional analysis, finite element method, basics of numerical software, and methods for matrix calculations. Later the students will choose elective courses, in particular, according to the topic of their master’s thesis.

The aim of the study program “Computer Science – Language Technologies and Computational Linguistics” is to get the graduates ready for research in the area of natural language processing and the 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 a deep understanding of formal mathematical and algorithmic foundations and their practical applicability in natural language processing tasks. Students of the program 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.

The MCE reconciles two objectives:

The Professional Science Master in Computational Science with a focus on Computational Mathematics is designed to equip students with advanced quantitative skills and the ability to apply computationa...

Computational linguistics is an interdisciplinary field that addresses the use of computers to process or produce human language. Linguistics contributes to this field an understanding of the special properties of language data, and also provides theories and descriptions of language structure and use. Computational linguistics is largely an applied discipline concerned with practical problems. Typical applications include natural language processing, machine translation (translating from one language to another), speech synthesis, speech production, information retrieval (finding relevant documents or parts of documents in large collections of texts), cognitive modeling, and, in general, almost anything dealing with natural language interfaces.