Master in Big Data in Russia

View Masters Programs in Big Data in Russia 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.

Russia (Russian: Россия) is by far the largest country in the world, covering more than one-eighth of the Earth's inhabited land area. The former State Committee for Higher Education in Russia financed 240 universities, academies and institutes, making Russia a solid country to study in.

Top Master Programs in Big Data in Russia 2017

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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. [+]

Best Masters in Big Data in Russia 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 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. [+]

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 [-]