Masters Programs in Data Science

Compare 2 Masters Programs in Data Science

A Masters degree gives you the opportunity to either further your understanding of a particular question or take off in a completely different way using skills you have gained from your previous undergraduate degree.

Contact Schools Directly - Compare 2 Master's Programs in Data Science 2017

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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. [+]

Masters in Data Science. 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. [-]

Master of Engineering in Information Technologies

Latvia University of Agriculture
Campus Full time 2 years September 2017 Latvia Jelgava

The masters programme "Information Technologies" is offered by the Faculty of Information Technologies, that trains specialists as for practical as scientific work in the field of IT. Up-to-date computer rooms with the latest equipment are used for the studies, that are practice-oriented and in close connection to the needs of industry and labor market. [+]

Nowadays the development of all sectors of economic and scientific activities is closely related to the application of Information Technologies (IT). The programme is oriented towards the following applications of IT in the interdisciplinary trends: computerized production control systems with the aim to educate you for the analysis of production systems and the development and maintaining of control systems by using the specificity of hardware; systems analysis – you will have good theoretical knowledge of software engineering and practical skills to solve the problems related to the designing, maintaining and application of software systems; information technologies in biosystems with the aim to prepare you to be creative and to be able to apply new solutions of information technologies for storing and analyzing biological data. The study programme is completed with the elaboration and defense of the Master thesis. Admission Requirements Bachelor's degree in Engineering, Computer Sciences, Mathematics or Physics; Diploma in Engineering (higher professional education) eligible for studies at the Master study programme in engineering or computer sciences. English requirements: IELTS score 6.0, TOEFL score 547, TOEFL-iBT score 76. Career prospects and further studies IT field and information systems development, functional research, systems analysis and risk assessment. Master's degree entitles graduates to continue studies in a respective doctoral programme in universities in Latvia or abroad. Why Latvia University of Agriculture? WORLDWIDE RECOGNISED DIPLOMA – diploma supplement acknowledged by the European Commission. Graduates can continue studies or work all over the world. ADVANCED FACILITIES – modern laboratory equipment, comfortable dormitories, studies in an outstanding architectural monument – the Jelgava Palace. REASONABLE COSTS – be smart and spend less by studying at LLU! ADVANTAGEOUS GEOGRAPHICAL LOCATION – major European cities can be conveniently reached by bus, airplane or ferry. GREEN AND SAFE ENVIRONMENT – a great way to experience Latvian culture. Despite variety of many different national and international events, Jelgava is a very safe city for everyone. STUDENT LIFE – well-balanced studies and cultural life, a wide variety of sports activities for free. Gain international experience by using international exchange opportunities! [-]