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 Data Analytics

ISDI
Campus Part time 400 hours October 2017 Spain Madrid Barcelona + 1 more

Master degree with hands-on-learning methodology to acquire the necessary knowledge in order to become a Data Scientist, Digital & Web Analyst, Digital Consultant or Business Intelligence Manager [+]

Best Part time Masters in Data Science 2017. Master degree with hands-on-learning methodology to acquire the necessary knowledge in order to become a Data Scientist, Digital & Web Analyst, Digital Consultant or Business Intelligence Manager Who is it aimed at? Data Scientists, Digital & Web Analytics, Digital Consultants, Business Intelligence Managers, Digital Marketing Managers, Project Managers and Deputy Managers. Data analysts who need to acquire a business & strategic vision. Professionals in business development and market research. Professionals with an average age of 31 years old and seven year experience. Goals To become an expert in decision-making based on data. To acquire knowledge of Google Analytics, SAS, R, Data Governance, Dashboards, Big Query o SQL at expert level. To develop predictive projects and to manage digital analytic projects. To combine business vision, analytic methods and technology tools. To acquire a strategic and digital business vision. Modules Module 1 . Technological Framework Module 2 . Statistics and Analytics Method Module 3 . Digital Marketing Analytics Module 4 . Ecommerce Analytics Module 5 . Programmatic Buying Module 6 . Big Data Fundamentals Module 7 . Data Visualization Extensions Extension 1 . SAS Base Extension 2 . R Fundamentals Extension 3 . Recommendation Systems Extension 4 . Predictive Analytics Extension 5 . Text Mining Social Analytics Extension 6 . R Visualization Admission Process ADMISSION FORM - If you are interested, please fill in our admission form. INTERVIEW - We will arrange a face-to-face or online interview to get to know you and discuss... [-]

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... [-]

Master in Statistical Learning Theory

Higher School of Economics
Campus 2 years September 2017 Russia Moscow

This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. [+]

Best Part time Masters in Data Science 2017. Programme Overview This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues. Programme courses are taught by leading HSE experts, including globally renowned scholars such as Dr. Yurii Nesterov, Dr. Denis Belomestny, Dr. Dmitry Vetrov, Dr. Andrei Sobolevski, Dr. Alexey Naumov, and Dr. Quentin Paris. Lectures are also delivered by Skoltech professors including Dr. Ivan Oseledets, Dr. Viktor Lempitsky, Dr. Evgeny Burnaev, and Dr. Yury Maximov. This team is rather young, but its members have already made significant research achievements. The programme actively cooperates with the Russian Academy of Sciences Institute for Information Transmission Problems, as well as with relevant faculties at Moscow State University and the Moscow Institute of Physics and Technology. Graduates go on to... [-]

Master in Information Design

Domus Academy
Campus 12 months September 2017 Italy Milan

The Master in Information Design has a multidisciplinary approach that brings together visual design, data analysis and creative coding. Students will develop a skillset and a mindset to understand different cultural, social and economic contexts, translate complex information into engaging visual forms and narratives that are readable by different audiences, to support comprehensive communication strategies. [+]

Creating strong insights while transforming data into narrations. Nurturing accessible complex information. We are surrounded by a large amount of data to be interpreted, analyzed and represented. Information Design is a growing discipline strongly required by private companies, social enterprises and government agencies to crunch, interpret and visualize data for effective internal communications and public relations. The Master in Information Design has a multidisciplinary approach that brings together visual design, data analysis and creative coding. Students will develop a skillset and a mindset to understand different cultural, social and economic contexts, translate complex information into engaging visual forms and narratives that are readable by different audiences, to support comprehensive communication strategies. Audience The program is addressed to candidates who have a first-level degree and/or professional experience in Product Design, Visual and Graphic Design, Media and Web Design, Architecture, Computer Science, Engineering. The program is also open to candidates who hold a degree or diploma in Communication Science, Psychology, Sociology, or equivalent, if they are motivated by a sound research interest towards the program’s topics and a strong portfolio. Outcome Graduates from the Master in Information Design may seek employment at established firms, such as large corporations, service companies, design consultancy, as well as NGO’s, government agencies, research institutions, or start their own consulting business. Graduates can occupy a position in the following fields: Digital Design, Data Visualization and Information Mapping, Visual Design and Branding, Trend Forecasting. Program The Master in Information Design program is workshop-based, supported by seminars, lectures, tutorials,... [-]

Master in Data Science/ Big Data

Narxoz University
Campus 1 year September 2017 Kazakhstan Almaty

From September 2017 Narxoz will launch new master level specialization Data science/Big data. While formally specialization will be called Statistics (to meet Ministry of Education and Science formal requirements), its curriculum will be based on world best practices in Data science/Big data. [+]

Best Part time Masters in Data Science 2017. Narxoz University launches master program in Data science/Big data in September 2017 There are tens of thousands of unfilled vacancies for the position of Data scientist in many countries. Average monthly salary of Data scientist in United States in 8,000 dollars. In Kazakhstan market offers 200,000 – 400,000 tenge for business analyst position. People with Data science/Big data competences are hardly present in Kazakhstan, so there is no data about their wages available, but we expect that well-trained Data scientist should earn at least twice as much as Business analyst. Narxoz University in 2016 created a special Data science group that took courses in Data science at MIT, Stanford and DataCamp. We also invited world class specialists to Narxoz to conduct intensive practical courses on Data science/Big data. We conducted several Data science research projects. Armed with these competences and experience we are ready to offer Data science/Big data courses in Kazakhstan at the master level. From September 2017 Narxoz will launch new master level specialization Data science/Big data. While formally specialization will be called Statistics (to meet Ministry of Education and Science formal requirements), its curriculum will be based on world best practices in Data science/Big data. One year master program in Data science/Big data will be offered to people with bachelor degree that included courses in statistics and econometrics, or have the job practice in these fields. Other applicants will be required to take preparatory courses in statistics (including introduction... [-]

Master's Degree in Data Analytics for Professionals

Sabanci University
Campus Part time 1 year September 2017 Turkey İstanbul

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]

Master's Degree Program for Professionals Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making. In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set... [-]

Master in Enterprise Application Development and Architectural Design (in conjunction with Haulmont)

Samara National Research University
Campus 2 years September 2017 Russia Samara

The master’s degree program Enterprise Application Development and Architectural Design is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. [+]

Best Part time Masters in Data Science 2017. The master’s degree program Enterprise Application Development and Architectural Design is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. The program’s study plan offers a balanced combination of the mastery of theoretical knowledge and the practical skills involved in the field of the development of corporate information systems, data analysis and software management. Special emphasis is placed on cutting-edge programming and data-analysis technologies, as well as on mastering the methods of organizing and managing projects involving software development. A special course is devoted to Data Mining and Big Data using the capabilities offered by supercomputers. An important element of the program is working with English-language study materials, as is studying business practices in the English-speaking environment typically found at international IT companies. The targeted nature of the program focuses on career opportunities – Haulmont offers the preferential recruitment of program graduates on a competitive basis. The high demand for specialists in the area of corporate IT-system development and data analysis on the international IT market allows program graduates to build an exciting career at leading Russian and foreign IT companies. Brief characterisation of the programme The master’s degree program is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. The program... [-]

Mastère Spécialisé® Expert In Big Analytics And Metrics

University of Technology Troyes - UTT
Campus September 2017 France Troyes

Expert's objective in Big Analytics and Metrics is to design, develop and pilot innovative solutions to address the complexity of managing and analyzing these large amounts of data. It uses computer skills, mathematics, statistics, as well as human and social sciences. [+]

BIG DATA: BOOST YOUR CAREER WITH MANAGEMENT AND ANALYSIS OF DIGITAL DATA! In the era of Big Data, it is essential for companies and organizations make sense of the collected volumes of data and build support for decision-making tools. The objective of theExpert Big Analytics and Metrics is to design, develop and pilot innovative solutions to resolve the complexity of managing and analyzing these large amounts of data. It uses computer skills, mathematics, statistics, as well as human and social sciences. The central position of the expert Big Data allows him tosupport the company in its technological change and consolidate the strategic positioning of the latter. In everyday life, graduates of this Master Spécialisé® Big Data can lead a team of data scientists responsible for enhancing corporate data, provide advisory mission Development processes or applications related to the exploration of large amounts of data, or accompany, as "data strategist" large groups, SMEs, government services and communities in control and governance of their data. This training Bac +6 is accredited by the Conférence des Grandes Ecoles (CGE) and is intended for engineers (newly graduates or post for a few years) and business executives from all business sectors. They trust us "(...) The project was considered relevant and perfectly used in line with our Digital strategy focused on offering big data and Atos what makes an innovative full. Therefore, this diploma course is an opportunity to support our business ambitions and respond firstly to our needs with experts jobs Big Data or... [-]

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... [-]

Master Management & Data Science

Leuphana University of Luneburg
Campus Part time 2 years October 2017 Germany Lüneburg

The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this program our graduates have the ability [+]

The Master's Program in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this program our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The program is designed to meet the fast-growing demand for data scientists in business, public administration, and research. CONTENTS AND IDEA The rapid economic and technological transformations occurring in the global economy and the transition from an industrial to a knowledge-based economy confront corporate leaders with new challenges. The rising flood of data associated with the dynamic complexity of today’s business environment can no longer be handled by traditional methods and a manager’s personal experience alone. This degree program delivers interdisciplinary learning and research opportunities, that allows students to gain application-oriented knowledge for practical management solutions. Through the integration of management, data analysis and information systems knowledge, students will be able to develop the latest in innovative solutions for managing information-driven organizations. PROGRAM STRUCTURE During the first semester, students become experts in extracting knowledge from data. They acquire a foundation in mathematics, skills in the use of data analysis tools and an understanding of the data economics. The second semester includes modules in storage and mining of massive datasets, probabilistic modeling, analyzing networks as well as forecasting and simulation. In the third semester, students undertake a challenging research project, working in teams to address questions of practical relevance with... [-]

Graduate Web Analytics

laSalle Barcelona Postgraduate
Campus 18 weeks October 2017 Spain Barcelona

The Graduate Web Analytics form a new professional able to measure and analyze the parameters of a web page, interpret the results, communicate and recommend actions to improve the web that impact business improvement as well as improving visibility same. [+]

Best Part time Masters in Data Science 2017. The Degree in Web Analytics form a new professional able to measure and analyze the parameters of a web page, interpret the results, communicate and recommend actions to improve the web that impact business improvement as well as improving the visibility of it. ADDRESSED TO Input profile: Digital marketing professionals who want to deepen their knowledge in this discipline that allows them to exercise analysts in companies and organizations. Graduates in Business, Economics, Statistics or Marketing who wish to acquire a thorough understanding of the technical aspects of digital analytics: technological fundamentals, inventory tools, disciplines, etc. Graduates in Computer Engineering management or wishing to acquire a broader vision of the digital business, and practical application of data analysis technology. Professionals in internet with concerns in the discipline of making decisions based on data. Webmasters who want to purchase a web analytics training and introduction to marketing that allows them to develop their careers. Output Profile: Digital analytics professionals able to provide value to companies or organizations from the collection and analysis of data generated in the activity. Professionals able to define and implement the implementation of any digital analytics tool with the aim of collecting data. Professionals with a multipurpose profile able to interact with different areas of business and help them make good decisions from data mining. PREPARES FOR Train professionals to assist and facilitate decision making in companies from the collection and use of data generated in the online activity.... [-]

Master in Cognitive Science and Artificial Intelligence

Tilburg University
Campus 1 year August 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. [+]

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... [-]

Master - The Fundamental Science And Information Technologies

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: [+]

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

MPhil in Computer Science and Engineering

The Hong Kong University of Science and Technology
Campus Part time 2 years September 2017 Hong Kong

The MPhil program seeks to strengthen students' knowledge in computer science and expose them to issues involved in the development, scientific, educational and commercial applications of computer systems. Students are required to undertake coursework and successfully complete a thesis to demonstrate competence in research. [+]

Make your input really count as a postgraduate student in the Department of Computer Science and Engineering. Traditional computer science research covers the hardware and software of computer systems and their applications. Computer science programs at HKUST emphasize an integrated approach to the study of computers and computing methods to collect, process, analyze and transmit information to support relevant and useful applications in modern life. Computer science is still a young field. The world is only just beginning to realize the potential of information technology. The Department and its programs prepare students to meet the exciting challenges that await and to generate new advances in computing that will fuel future progress. The MPhil program seeks to strengthen students' knowledge in computer science and expose them to issues involved in the development, scientific, educational and commercial applications of computer systems. Students are required to undertake coursework and successfully complete a thesis to demonstrate competence in research. Research Foci The Department's research involves many different areas: Artificial Intelligence Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensor-based activity recognition, multi-agent and game theory, and speech and language processing. Data, Knowledge and Information Management Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications. Human-Computer Interaction Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication, affective computer, visual analytics of big data, intelligent interface for robots, E-learning, healthcare... [-]

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... [-]