Masters Program in Computing in Czech Republic

Find Masters Programs in Computing in Czech Republic 2017

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Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

The computing field covers a wide range of studies, including information systems, computer engineering, information technology, computer science and software engineering. Different computing disciplines may cover software and hardware system building and design, the creation of intelligent computers, information structuring and scientific research.

Czech Republic has a well-established and research based university education. This has made learning ini Prague one of the respected curriculum's in Europe since it cultivates the spirit of creativity and innovation among students.

Top Master Programs in Computing in Czech Republic 2017

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Master in Discrete Models and Algorithms

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years October 2017 Czech Republic Prague

Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. [+]

Best Masters in Computing in Czech Republic 2017. Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. Study plans Optimization and Mathematical economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods in mathematical economy. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must: - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof; in cases required by law, a certification of equivalence of education must accompany the application, - have sufficient academic background in the relevant fields (see below for details); this can be demonstrated by passing the specialized entrance examination in June 2016 in Prague that is organized by the Faculty of Mathematics and Physics, Charles University, or by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses; promising students who do not have this background may be admitted with the provision that they complete the missing knowledge from Bachelor's courses, - have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize. You are also welcome to accompany your application by - a statement of purpose in which you describe your reasons for applying to the proposed programme, your study and possibly also research interests and future career plans, - letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a Master's degree in mathematics or computer science. English Language Proficiency All applicants must have an adequate command of English in order to enrol at Charles University. An applicant’s proficiency level in English may be demonstrated by various language tests; any language test results should not be older than two years. The only exemption from this requirement is for students who have completed at least two years of their previous education with English as the sole language of instruction in one of the following countries: Australia, Canada, Ireland, New Zealand, UK, or USA. The table below summarizes the minimum requirements in the various tests of English that we recognize; you must meet the minimum score for at least one of the tests listed here, or provide us comparable results for other recognized qualifications (if in doubt please contact us to obtain specific required scores for other internationally recognized English Language qualifications). Test Minimum score TOEFL Paper / Computer / Internet based - 550 / 213 / 80 SAT Critical Reading and Writing - 550 in each part ACT English and Reading - 24 International Baccalaureate English - 6 The International English Language Testing System (IELTS) - 6.5 Cambridge ESOL FCE A level Cambridge ESOL CPE, or Cambridge ESOL CAE - Passed City&Guilds International ESOL, or City&Guilds International Spoken ESOL - Expert level The European Language Certificates - Level TELC English C1 UNIcert English for Mathematicians - Level C1 Melab - 77 Examination for the Certificate of Proficiency in English (ECPE) - Pass Test of English for International Communication (TOEIC) - 605 Vancouver English Centre (VEC) level / online score - 13-14 / 74 General State Language Examination in English in the Czech Republic - Pass Conditions for admission without entrance examination Academic background In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty. Master of Computer Science: background in calculus, linear algebra, discrete mathematics, probability, logic, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammars. Information on the exercise of graduates Graduates have a broad range of possibilities to work in areas connected with applied mathematics and computer science. Graduates are able to solve complicated technical and economical decision problems. Solutions of these problems are based on methods of mathematical optimization and on methods solving conflict situations. Deep knowledge of modern mathematical methods enables the graduate to design mathematical models in complicated economical situations. Education in computer science provides skills to implement effectively the solutions with the use of fast computers. [-]

Master in Computational Mathematics

Technical University of Ostrava
Campus Full time 2 years September 2017 Czech Republic Ostrava

Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. [+]

Faculty of Electrical Engineering and Computer Science Study Branch Computational Mathematics Branch Profile Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. Students gain a solid base for a career, or can continue in a doctoral programme focusing on the development of new methods for computational solutions of engineering problems with particular application in R&D. Computational Mathematics is a branch of the study programme of Information and Communication Technology. Key Learning Outcomes Knowledge The graduates in this study programme possess a broad and deep state-of-the-art knowledge and understanding of the branch of information technology, and a practical knowledge of applied mathematics, along with the selected areas of application. The knowledge in mathematics acquired during the Master’s studies constitutes an appropriate theoretical basis for further doctoral studies. Skills The graduates in this study programme can search for, sort out and interpret the relevant information to solve a defined practical problem. They can also deal with complex problems independently and creatively, using selected procedures that make use of information and communication technology as well as applied mathematics. - General competencies: A graduate is able to make independent and responsible decisions in new or changing contexts or in a developing environment with respect to broader social consequences, to coordinate the operation of a team and bear ultimate responsibility for the results. They possess communication skills that enable them to express the essence of a problem, to sum up their own opinions and the opinions of other team members in a comprehensible way, and to express the nature of technical problems. They are prepared for further studies in the doctoral programme focused on the utilization of applied mathematics. Occupational Profiles of Graduates With a good understanding of the theoretical aspects of mathematics, informatics and communication technology, a graduate is qualified for flexible adaptation to the requirements of the workplace, including research and development. A graduate can find employment practically in all areas that use information and communication technology, regardless of the subject field. Admission Requirements Determined by Dean, may include entrance examination, specific courses taken during bachelor studies, other formal documents. Graduation requirement 120 ECTS Credits, Final state examination, Diploma thesis Course Structure Diagram with ECTS Credits 30 ECTS credit per semester. [-]

Master in Computer Science: Computational Linguistics

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years October 2017 Czech Republic Prague

The aim of the program is to get the students ready for research in the area of natural language processing and development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, machine translation, grammar checking, text summarization and information extraction, automatic speech recognition, voice control, spoken dialogue systems, and speech synthesis. [+]

Best Masters in Computing in Czech Republic 2017. The aim of the program is to get the students ready for research in the area of natural language processing and development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, machine translation, grammar checking, text summarization and information extraction, automatic speech recognition, voice control, spoken dialogue systems, and speech synthesis. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof; in cases required by law, a certification of equivalence of education must accompany the application, - have sufficient academic background in the relevant fields (see below for details); this can be demonstrated by passing the specialized entrance examination in June 2016 in Prague that is organized by the Faculty of Mathematics and Physics, Charles University, or by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses; promising students who do not have this background may be admitted with the provision that they complete the missing knowledge from Bachelor's courses, - have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize. You are also welcome to accompany your application by - a statement of purpose in which you describe your reasons for applying to the proposed programme, your study and possibly also research interests and future career plans, - letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a Master's degree in mathematics or computer science. English Language Proficiency All applicants must have an adequate command of English in order to enrol at Charles University. An applicant’s proficiency level in English may be demonstrated by various language tests; any language test results should not be older than two years. The only exemption from this requirement is for students who have completed at least two years of their previous education with English as the sole language of instruction in one of the following countries: Australia, Canada, Ireland, New Zealand, UK, or USA. The table below summarizes the minimum requirements in the various tests of English that we recognize; you must meet the minimum score for at least one of the tests listed here, or provide us comparable results for other recognized qualifications (if in doubt please contact us to obtain specific required scores for other internationally recognized English Language qualifications). Test Minimum score TOEFL Paper / Computer / Internet based - 550 / 213 / 80 SAT Critical Reading and Writing - 550 in each part ACT English and Reading - 24 International Baccalaureate English - 6 The International English Language Testing System (IELTS) - 6.5 Cambridge ESOL FCE A level Cambridge ESOL CPE, or Cambridge ESOL CAE - Passed City&Guilds International ESOL, or City&Guilds International Spoken ESOL - Expert level The European Language Certificates - Level TELC English C1 UNIcert English for Mathematicians - Level C1 Melab - 77 Examination for the Certificate of Proficiency in English (ECPE) - Pass Test of English for International Communication (TOEIC) - 605 Vancouver English Centre (VEC) level / online score - 13-14 / 74 General State Language Examination in English in the Czech Republic - Pass Conditions for admission without entrance examination Academic background In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty. Master of Computer Science: background in calculus, linear algebra, discrete mathematics, probability, logic, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammars. Information on the exercise of graduates The graduate student is an expert in application of state-of-the-art statistical as well as rule-based methods in the area of natural language processing. The student is prepared for doctoral studies in this area and for development of software applications of natural language processing such as information retrieval, question answering, summarization and information extraction, machine translation, automatic construction of dictionaries, speech processing (in Czech and other natural languages). Given the general applicability of machine learning and data driven methods, the graduate is also well equipped to use these methods in other domains, such as finances, medicine, and other areas where large quantities of both structured and unstructured data are being analyzed. The graduate has also extensive programming skills. [-]