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New English-language Master's Programme in Big Data Systems

New English-language Master's Programme in Big Data Systems

This year, the HSE Faculty of Business Informatics is launching an English-language master's programme in Big Data Systems. Scholarships are available, particularly for selected applicants who participate in the Olympiad, a competition that is open to students and graduates of university undergraduate and specialist courses from throughout Russia, the CIS, and the Baltic countries. The registration deadline for the Olympiad is March 12, 2014.

The recent expansion in the quantity of data collection devices and technologies has resulted in a dramatic increase in the total amount of data being stored worldwide (it is already being calculated in zettabytes). Demand exists for professionals capable of converting data storage systems into company 'information assets' which can be used to generate profit and respond promptly to change. “This is what the Big Data Systems concept is all about”, explains Professor Svetlana Maltseva, Head of the Big Data Systems Programme.

A few universities in other countries offer educational courses in this area, but they focus mainly on its mathematical aspects. However, little is currently being done to study business as a system with an advanced information infrastructure that allows management processes to be automated. Therefore, the Big Data Systems programme, designed by the HSE Faculty of Business Informatics, focuses primarily on effective business use of this technology. This globally competitive programme is a recipient of the 2013 IBM Faculty Awards.

The training will be practice-oriented thanks to the Faculty's extensive partnerships with leading Russian and international companies; the research performed by students as part of their training will deal mostly with practical, hands-on issues.

The training will be practice-oriented thanks to the Faculty's extensive partnerships with leading Russian and international companies; the research performed by students as part of their training will deal mostly with practical, hands-on issues.

The curriculum includes two elective blocs (technology and management), from which the master's students will select disciplines to match their individual baseline competencies, and five core disciplines (systems analysis and organizational design; economic and mathematical modeling; enterprise architecture modeling; data analysis methods and big data in business intelligence; big data system design and integration). A special adaptation course will also be available.

The programme is taught entirely in English, enabling students to participate in joint research projects and to benefit from exchange programmes and internships with foreign universities. A number of courses will be delivered by teachers from foreign universities.

The graduates' potential employers include major companies and organizations involved in storing large amounts of data (including external data centres), and also IT companies and research institutions. However, competence in big data management is becoming increasingly relevant in other spheres, so programme graduates can expect to find work in IT and analytical departments of companies and organizations across all sectors. Since the programme’s content is so versatile, graduates will be able to secure employment in Russia, where specialists in this area are in high demand, and elsewhere in the world.

Admission will be based either on the results of the Olympiad or on the applicant’s portfolio consisting of a letter of motivation, proof of basic education (with a preference for those trained in mathematics, computer science, economics, and management), and the applicant's research papers and professional certificates, if any. "We no longer require letters of recommendation," says Professor Maltseva, "because too often they refer to the applicant's qualities as a person rather than his or her experience or work history."

In 2014, the programme will admit 15 students on a scholarship basis; fee-based tuition is also available.

The graduates of the master's programme will be able to continue their studies in the HSE's postgraduate programme.

Maria Glazyrina, third-year student of the Faculty of Law, HSE News Service intern

See also:

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‘Big Data Systems Programme Is the Perfect Amalgam of Business, Analytics, and Informatics’

Sangam Kumar Singh has come from India to do a Master’s in Big Data Systems at the HSE School of Business Informatics in Moscow. He has chosen HSE due to its high standing in global university rankings such as QS and the Times Higher Education ranking as well as its focus on research and innovation. Having started his career in engineering within telecommunication business and later moving onto R&D application and analytics in the same area, he was drawn to HSE’s programme because it combines business, informatics and analytics and equips its graduates with the skills and knowledge required by our modern economy and ever-changing market dynamics.

Graduation Ceremony for the Double-degree Master’s Programme in Big Data Systems

On June 29, the third graduation ceremony for the double-degree Master’s programme in Big Data Systems (HSE, Russia) and Information Systems Management (UAS Technikum Wien, Austria) was hosted at the Austrian Ambassador’s Residence in Moscow. Dr. Hartmut Koller-Lenhardt, Chancellor at the Embassy of Austria in Moscow, gave the opening address. He congratulated the graduates on their successful completion of the programme and stressed the importance of cooperation between the universities in regards to cultural and professional communication and connections.

Leading Researcher at the HSE Faculty of Computer Science Coordinates New Experiment at CERN

Fedor Ratnikov, a leading researcher at the Laboratory of Methods for Big Data Analysis (LAMBDA), has been appointed project coordinator in the SHiP collaboration. He will be responsible for developing and designing the detector’s active magnetic radiation shielding.

Data Culture: HSE Will Teach All Its Students to Work with Data

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First Graduates Complete Double-degree Master’s Programme in Big Data Systems and Information Systems Management

On June 27, 2016, the first graduation ceremony for the double-degree Master’s programme in Big Data Systems and Information Systems Management was held at the Higher School of Economics in Moscow. The ceremony marks three years of successful collaboration between HSE and University of Applied Sciences Technikum Wien.

Students Come from Far and Wide to Study Big Data Systems

The Master’s programme in Big Data Systems at the Higher School of Economics focuses on the value aspect of big data for large enterprises and the implementation of big data technology in enterprises. Two current students of the programme share their thoughts about what drew them to HSE to study big data, what they hope to gain from the programme and what advice they would give to prospective international students.

French Delegation Visits School of Business Informatics to Discuss Cooperation in Big Data Studies

In March 2016, the School of Business Informatics (Faculty of Business and Management) at HSE was visited by a delegation from France’s University of Évry; in late 2015, a student exchange agreement was signed between HSE and this university. The delegation brought 19 students from the Master’s programmes in the field of big data at the University of Évry to Moscow.

Student from Big Data Systems Master’s Programme Takes Part in IBM’s Best Student Recognition Event 2015

IBM held its annual forum, the Best Student Recognition Event, in Amsterdam on July 8-10, 2015. The IBM Corporation has been carrying out the event since 2008, bringing together some of the best students in Europe. Around 70 students attended this year’s event, including HSE student Dmitry Shostko, who studies Business Informatics in the Big Data Systems Master’s Programme. Dmitry was rated one of the top-10 students for the second semester.

Want to Go to Germany…

‘The University of Passau is the youngest HEI in Bavaria but has earnt itself a good reputation since it opened in 1978,’ says Svetlana Maltseva, Academic Supervisor of the Master’s programme in Big Data Systems. ‘For more than ten years the university has occupied a leading position in German and European rankings in Law, Management and International Relations.’