Filters
Filters
- Masters
- Master degree
- Natural Sciences Programs
- Computational Mathematics
Sort by
7 Computational Mathematics Master's Degree Programs


Promoted
New Mexico Highlands University
Masters in Computer and Math Sciences
- Las Vegas, USA
Master degree
Full time
2 years
On-Campus
English
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.


Charles University Faculty of Mathematics and Physics
Master in Computational Mathematics
- Prague, Czech Republic
Master degree
Full time
2 years
On-Campus
English
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.


Charles University Faculty of Mathematics and Physics
Master in Computer Science - Language Technologies and Computational Linguistics
- Prague, Czech Republic
Master degree
Full time
2 years
On-Campus
English
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.
Best programs for you
Answer a few questions and we'll match you with programs!


The University of Milan
Fast-track counseling
Master's Degree in Bioinformatics for Computational Genomics
- Milan, Italy
Master degree
Full time
2 years
On-Campus
English
Fast-track counseling
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.


Universidade de Aveiro
Master in Computational Engineering
- Aveiro, Portugal
Master degree
2 years
On-Campus
English, Portuguese
The MCE reconciles two objectives:


University of Central Oklahoma
Professional Science Master in Computational Science - Computational Mathematics
- Edmond, USA
Master degree
Full time
On-Campus
English
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...


Indiana University - College of Arts and Sciences
Master in Computational Linguistics
- Bloomington, USA
Master degree
Full time
2 years
On-Campus
English
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.
Popular Natural Sciences Programs Computational Mathematics degree types
Popular study format
Popular locations
Learn more about Computational Mathematics Master's degree programs
Computational Mathematics is a dynamic field that integrates advanced mathematical theories with practical applications in technology and data analysis. A Master's degree in this area allows students to develop strong analytical and problem-solving skills vital for tackling complex challenges in various sectors.
Through courses in numerical analysis, algorithm development, and statistical modeling, students will explore methods to apply mathematical techniques to real-world problems. These studies help you gain expertise in areas like developing simulation models and optimizing processes. As students delve into topics like machine learning and data mining, they build confidence in their ability to analyze large data sets and create predictive models.
Moreover, students strengthen adaptability as they learn to work with various computational tools and techniques. Graduates emerge prepared for careers in finance, engineering, data science, or academic research, equipped with skills that are valued across industries and globally transferable. This program presents a solid foundation for those aiming to impact technology and mathematics sectors positively.