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 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. [+]

Masters in Big Data in Asia 2017. 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 [-]

Master of Science in Information Technology (MSIT)

President University
Campus Full time July 2017 Indonesia Jakarta

The Master of Science in Information Technology (MSIT) enables students to gain a solid foundation in areas such as information architecture, information quality assurance, usability, IT governance, information systems management, IT project management, user experience design, IT documentation/technical writing and communication, distributed information systems, data management, and mobile information systems. The Master in Information Technology (MSIT) program comprises 38 credits (including Thesis) which could be accomplished in 4 semesters (1 semester equals to 4 months). You can complete your Masters Degree within 16 months. [+]

Innovative Step to Technology Advancement The Master of Science in Information Technology (MSIT) enables students to gain a solid foundation in areas such as information architecture, information quality assurance, usability, IT governance, information systems management, IT project management, user experience design, IT documentation/technical writing and communication, distributed information systems, data management, and mobile information systems. The Master in Information Technology (MSIT) program comprises 38 credits (including Thesis) which could be accomplished in 4 semesters (1 semester equals to 4 months). You can complete your Masters Degree within 16 months. Below is a guide to the number of credits in the Master of Science in Information Technology. Data Quality 3 credits Software Development Methodology 3 credits Distributed Systems 3 credits Machine Learning 3 credits Security System 3 credits Computer Vision 3 credits Information Retrieval Systems 3 credits Analysis of Algorithms 3 credits Seminar 2 credits Research Methodology 2 credits Data Mining 2 credits Information Extraction 2 credits Modelling and Simulation 2 credits Enterprise Resource Planning 2 credits Vision In 2018, becomes a leading of Information Technology graduate education in Indonesia, able to compete globally and actively support the industries. Mission To administer high quality learning process in Information Technology science and technology. To conduct high quality research and development in Information Technology science and technology, especially focus on support for industries To advocate and endorse Information Technology in community empowerment. To cooperate with industries, privates, government and other institutions in implementing the Information Technology’s MSIT Concentration Business Intelligence IT for Industry MSIT Graduate Attributes The graduates of MSIT program are expected to possess the following attributes: Innovators. Able to contribute expertise to the development of Information Technology in relevant industries. Problem Solvers. Able to utilize systematic and logic approaches to solve IT-related problems in dynamic working environments. You can learn more about specific admission requirements for The Master of Science in Information Technology (MSIT) by completing the form to request free information. [-]

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 [-]