Masters Program in Big Data in Asia

View Masters Programs in Big Data in Asia 2017

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

Students who complete a part of their degree in Asia are growing in numbers. Currently, the second and the third biggest economies are in Asia. Without limitation, students have described their time in Asia as the best experience of their lives. Today, three of the four most populated countries of the world are in Asia: China, India, and Indonesia.

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Master in Big Data Analytics

Novosibirsk State University
Campus Full time 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. [+]

Masters in Big Data in Asia 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 of Technology in Cloud Computing

K L University
Campus Full time July 2017 India Guntur

To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level. [+]

Program Educational Objectives To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level Must be able to conduct research and undertake development in the focused and emerging areas and domains shortlisted for the discipline - Computer Science and Engineering Specify, design, develop, prototype and test the applications that are related to the domains finalized for the program Be able to achieve hands-on practice in using different type of tools which are related to theoretical aspects covered in the program, and be able to conduct research, and undertake project development using the tools. Understand and practice professional ethics Recognize professional and personal responsibility to the community and undertake all the activities that benefit the society Pursue lifelong learning as a means of enhancing knowledge and skills necessary to contribute to the betterments of profession. Must learn to work in teams especially for undertaking project execution Program Outcomes Apply knowledge, concepts, methods, and algorithms, techniques in implementing solutions to the problems that are related to the domain areas that are shortlisted for the discipline Computer Science and Engineering. Identify, formulate, research literature and find solutions to the problems and critically evaluate the solutions to the problems that are related to the fields of specialization shortlisted for the discipline “Computer Science and Engineering” Specify, design and develop solutions for complex engineering problems related to specialisation areas and domains shortlisted for the program Conduct experimentation using different types of tools, that help analyzing, designing evaluating and testing applications related to specialization areas Be able to innovative and incubate the research findings through development of pilots and be able to promote the commercialization by interacting with eco system in association with the faculty specializing in similar areas. Function effectively as an individual and as a team member to design and develop applications, conduct research and find solutions to the burning problems. Demonstrate the understanding of the societal, health, safety, legal and cultural issues through incorporating and implementing relevant engineering practices during project and LAB execution. Understand and commit to professional ethics through adaption of norms and standards Be able to bring in the societal issues such as energy minimization, pollution elimination etc., into the engineering solutions designed for solving complex problems Demonstrate knowledge and understanding of management and business practices that are related to the field of specialization [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months September 2017 Italy Milan

Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. [+]

Masters in Big Data in Asia 2017. In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]

Master In Big Data

Universidad Europea de Madrid (UEM)
Campus Full time 9 months September 2017 Spain Alcobendas

The area of ​​Information Technology and Telecommunications of the Polytechnic School offers official master's degrees in those areas where there is a need for specialized professionals. [+]

Area Informatics and Telecommunications at the Polytechnic School It offers official master's degrees in those areas where there is a need for specialized professionals. These master's degrees have not just an academic approach, but primarily have a professionalizing orientation. We choose specialties that actually have a high demand for professionals, designed the training program according to the companies, teachers incorporated specialists, and facilitate networking with these professionals and companies. In addition, these training programs incorporate all the methodology and quality of an advanced university and student-oriented, such as the European University of Madrid. WHY STUDY IN THE EUROPEAN UNIVERSITY The rate of employability of our graduates is much higher than those of the current job market: "95% of our students find employment in the first year after completing their studies," in places like Mary Angeles Sánchez Ortega, Head in Central Region IDOM. We have agreements with more than 3,500 companies to offer more internship to our students and our graduates employment. leading companies in their sectors such as Acciona, Movistar, BMW Ibérica, Vodafone, Sony Spain, Bp Oil, Iveco Spain, Airbus Spain, Endesa, Ferrovial, Sacyr, etc. We provide a comprehensive, international university education, designed to help students adjust to the workplace and personal development. Our fundamental principle is academic quality, which reinforced with practical classes and use the latest technology in the classroom. The faculty is highly qualified and has extensive teaching experience, professional and research that enriches the education and training of the student. We are part of Laureate International Universities, a global leader in higher education, with over 1,000,000 students in 80 institutions in 28 countries. This schools network power your international presence, facilitating your trip abroad exchange programs. [-]

Master in Big Data and extreme computing

ITMO University, St. Petersburg
Campus Full time 2 years September 2017 Russia St. Petersburg

Big Data is located not only in high-tech laboratories and institutes. Big Data can be found near to us, e.g. in complex social networks, cloud multimedia services etc. The problems in distributed storage, transfer and processing of big amount of data are on the frontiers of modern branch of IT. [+]

Masters in Big Data in Asia 2017. Big Data and extreme computing Objective of the Programme: Big Data is located not only in high-tech laboratories and institutes. Big Data can be found near to us, e.g. in complex social networks, cloud multimedia services etc. The problems in distributed storage, transfer and processing of big amount of data are on the frontiers of modern branch of IT. High performance computing and distributed data processing, special hardware architectures and telecommunications, domain specific languages and host of other things are required to solve these problems. The graduate will be in demand in the international job market, since big data is spread in all areas of life. Language: English The program is focused: on applicants with an applicable Bachelor's degree, fluent in English and planning a future career in high-tech international companies, both in Russia and abroad. WHY MASTER IN BIG DATA AND EXTREME COMPUTING AT ITMO UNIVERSITY? The courses in Big Data and Extreme Computing are taught by leading professors in computational science and HPC of ITMO University and leading international scholars This program contains extracurricular courses in English: Academic English and Scientific Writing. These courses are built including cultural study of the language aiming to prepare the students to face the English speaking community and academic environment Our students have good facilities for study, including discounts on tuition fee, ability to work at ITMO and earn extra awards, opportunity to win special scholarships and student grants Department of HPC has modern classrooms and laboratories with state-of-the-art computer equipment and software Teaching staff: ITMO professors and associate professors and professors of foreign partner universities. Length of program: 2 years (4 semesters) including 1 semester at the partner University (University of Amsterdam, the Netherlands) Partner Companies: There's a possibility of internship in partner companies in St. Petersburg [-]