Part time Master's Degree in Data Science

See Part time Masters Programs in Data Science 2017

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.

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Master in Big Data Analytics

Novosibirsk State University
Campus 2 years September 2017 Russia Novosibirsk

The innovative project-oriented training in Data Science led by the minds that envision and hands that shape the future of Big Data World. Your diploma will read Master of Science. Only because our "Wizard" degree is not yet official. [+]

Best Part time Masters in Data Science 2017. Description The innovative project-oriented training in Data Science led by the minds that envision and hands that shape the future of Big Data World. Your diploma will read Master of Science. Only because our "Wizard" degree is not yet official. Program goal True Data Scientist solves the problem by combining the hardcore science and breakthrough data mining technologies with inexplicable art of human understanding. As a student you will take part in real projects, working with the team through all the project stages to acquire deep knowledge and master your skills in analyzing the core problems of your customer, planning and managing project resources, engineering software, collecting and processing all sorts of data, and discovering the precious insights that put the whole data puzzle together. Duration of study 2 years Language of instruction English How to apply Entrance requirements For both foreign students and graduates of the Russian higher education institutions (including bachelor graduates of NRU NSU): Educational diploma (certificate or analogous document) on program of level of a bachelor degree or of a specialist qualification of any specialization Strong motivation to be Data Scientist Proved background and strong knowledge of statistics and programming. The application procedure and deadlines Till July, 8 the applicant send the following copies of documents via e-mail to the supervisor of the program Pavlovskiy Evgeniy Nikolaevich (e-mail: pavlovskiy@post.nsu.ru): Application for admission to the master program; Diploma (or some analogous document) on program of level of a bachelor degree or certificate (ordering) about passing now such program. TOEFL certificate (score 50-70: intermediate or upper intermediate level) or other international certificates (BEC etc.) of similar level. Curriculum Vitae of the applicant. Motivational letter (1-2 pages) on entrance to the Program. Recommendation of the professor of mathematics, informatics, director of software engineering company, or head of information technology department of state organization. Till July, 12 the procedure of selection of applicants for testing passing is carried out. Till July, 20 the interview with committee of leading professors of the Chair of General Informatics DIT NSU is carried out (on site or via remote conferencing (Skype/Hangouts)). Features of this interview are reflected in the following section of the Program. Till July, 25 the admittance to the Program occurs. Curriculum First year, Fall Semester Obligatory Сourses Operations Research Data Mining Tools and Languages Storage Technologies Philosophy of Data Science Business Analysis Team Management Knowledge Management First year, Spring Semester Project Management Machine Learning Natural Language Processing Frontiers of Data Science Elective courses Data Warehouses Programming in Scala Decision Making Theory Processing Big Data with Cloud tech Second year, Fall Semester Obligatory courses Academic writing Signal Processing Virtualization and Consolidation Elective courses Biomedical Engineering Algorithm Analysis Project Management with TOC Product Management and Entrepreneurship Second year, Spring Semester Pregraduation practice Master Thesis During the all period R & D practice Scientific workshop Master dissertation Example subjects to work on Development of a system for predicting blood sugar levels based on machine learning Developing a subsystem for retrieving event data. Development of a module of an expert system for analysis and monitoring of communications, solving the subscribers identification problem Developing Big Data platform for cognitive analysis The application of the principle of rival similarity search for significant features in the processing of large amounts of data (Big Data) Training base Each student can select a domain of his own interest. Courses specified for domains are served by companies, which have a great experience in applying data analysis technique to solve innovative problems. Chair of General Informatics of Information Technology Department at NSU Expasoft LLC., Exploratory Systems LLC., Futurolab LLC., UniPro LLC., Novel Software Systems Company (LLC.), Development Group (LLC.) Institute of fundamental medicine and physiology SB RAMS Institute of Cytology and Genetics Budker Institute of Nuclear Physics Eyeline Communications CIS Alawar Entertainment Sobolev Institute of Mathematics Fees and Financial support Tuition Fee $5200 per year Scholarships We are seeking candidates for 2016 Russian Government Scholarship Program, which is a 2-year scholarship Master's program and 3-year (or 4-year) scholarship PhD program. NSU offers 43 scholarships. Benefits: full tuition, monthly stipend. Application deadline: June 15, 2017 Career opportunities There are several possibilities: to work for University, Research Institutes of Russian Academy of Sciences, or to work for IT-business, such as our companies ExpaSoft, UniPro, Inteks, Parallels and so on. All our students have a part time work in IT-company during the tuition period. In addition, you can find that many of our alumni works for Yandex, Google, Microsoft, Parallels and Intel. Near the University, there is an R&D division on Intel Corporation. [-]

Master "fundamental Computer Science And Information Technology (fiit)"

South Ural State University
Campus 2 years September 2017 Russia Chelyabinsk

Educational direction FIIT focused on the training of professional programmers in the field of multi-user distributed information systems with fundamental knowledge in the areas of: [+]

02.04.02 Fundamental informatics and information technologies (FIIT) The profiles of the educational program heavy duty systems technology development (training in Russian) Database Technologies (in English Language) Areas of expertise Educational direction FIIT focused on the training of professional programmers in the field of multi-user distributed information systems fundamental knowledge in areas: distributed object technologies, parallel database management systems, cloud computing, heavily web-based systems, development of corporate web applications, systems of data mining. Future Career The graduate is prepared for activities that require in-depth basic and vocational training, including scientific research, in the development of modern multi-user distributed information systems and heavy duty web-based systems, the creation and use of new analytical data processing technologies implemented in the form of software systems, products and services. And also designed to work in companies engaged in the development and implementation of multi-user distributed information systems; research centers and educational institutions, to develop new technologies to handle large data sets; as well as in public administration and organizations of various forms of ownership, use in their work highly loaded systems. specialized courses Object-oriented CASE-technology Distributed object technology Parallel and Distributed Programming Mathematical foundations of information security and information security Modern database technology development Modern technologies of software development Programming in Java Programming for Multicore Accelerator Modern NoSQL-system Highload web system Administration and optimization of corporate databases Object databases Computer animation and modeling Programming Mobile Devices Analysis of Information Technology Managing high-performance computing clusters Cloud computing Enterprise Management Systems equipment used As part of the educational process in the disciplines related to the study of parallel programming and supercomputer technologies, students have access to supercomputers Laboratories supercomputer simulations SUSU. Students are taught in today's multimedia computer classes with access to cloud services provide the necessary professional software. In the educational process in this direction actively introducing advanced technologies and high-end design approach learning. Teaching Staff The training of students participated leading Russian and foreign experts in the field of information technology. Some courses are taught by representatives of commercial companies involved in software development. Students practice in real-world software companies. The volume of the program and mode of study 120 ECTS credits, full time (2 years, 4 semesters), Master's Degree Fundamental Computer Science and Information Technology Scholarship Students studying on a budgetary basis, receive a monthly stipend, and can claim a place in a hostel, getting increased and social grants. Continuing education Received a master's degree have the opportunity to continue their education in graduate school in the specialty "Mathematical and software of computers, complexes and computer networks." [-]

Master in Cognitive Science and Artificial Intelligence

Tilburg University
Campus 1 year January 2017 Netherlands Tilburg

The Master's track in Cognitive Science and Artificial Intelligence provides you with a deep understanding of human cognition and communication, as well as the creative and technical skills to apply this knowledge in Artificial Intelligence solutions and applications. [+]

Best Part time Masters in Data Science 2017. Master in Cognitive Science and Artificial Intelligence The Master's track in Cognitive Science and Artificial Intelligence provides you with a deep understanding of human cognition and communication, as well as the creative and technical skills to apply this knowledge in Artificial Intelligence solutions and applications. Become an expert in the application of Artificial Intelligence in human cognition and communication

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice! The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior. Why Cognitive Science and Artificial Intelligence in Tilburg? Study and design at the intersection of Artificial Intelligence software and human cognition and communication Gain a deep understanding of Artificial Intelligence: the study and design of computers and software that are capable of intelligent behavior - drawing inspiration and applications from cognitive science: the study of thought, learning and mental organization concerning different types of psychological processes; such as those involved in attention, decision making, language use, memory and perception. Develop in a field that is growing, driven by the fast datafication of our everyday lives and by the implementation of AI based solutions in the context of online services, social media and business communication. Experience creative learning, employ cutting-edge techniques in the area of virtual and augmented reality, and make use of data-driven methods like data mining In the DAF Technology Lab you can employ virtual and augmented reality applications and gain experience in persuasive technology and sensing technology. Collaborate and elaborate on ideas and knowledge with fellow students, lecturers, artists and industrial partners during Creative Coding meetings. And make use of the most recent data-driven methods in digital content analysis, such as data mining, data visualization and online data collection. Experience with these techniques helps you to create an attractive professional profile for the job market. The Master's track Cognitive Science and Artificial Intelligence in short Specialization of Communication and Information Sciences Language: English Start: End of August and end of January (as of August 2017) Duration: 1 year (60 ECTS) Title: Master of Science (MSc) Best preparatory Bachelor's: Bachelor's in Communication Sciences Pre-Master's: Available in English After graduation: Intelligent Software Developer; Web Analyst; Social Media Analyst; Data Journalist; Social Robot Developer; Web Data Entrepreneur; E-Health and Healthcare Quality Analyst Career prospects Cognitive Science and Artificial Intelligence Profound knowledge of human cognition and communication, and the creative and technical skills to develop artificial intelligence solutions Organizations are very interested in graduates with both knowledge in the area of human cognition and communication, as well as the creative and innovative skills to design artificial intelligence solutions based upon it. Work areas and career prospects Graduates will be able to contribute to advancements in working fields like artificial intelligence and robotics, data science, data mining, knowledge technology and decision support systems. Examples of jobs / positions: Intelligent Software Developer Web Analyst Social Media Analyst Data Journalist Social Robot Developer Web Data Entrepreneur E-Health and Healthcare Quality Analyst [-]

Master in Computer Science: Computational Linguistics

Charles University Faculty of Mathematics and Physics
Campus 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. [+]

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 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. [+]

Best Part time Masters in Data Science 2017. 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! [-]