Ismail Kayali, from Aleppo, Syria, earned his MS in Big Data Systems from the HSE Faculty of Business and Management in 2018. He is currently pursuing a PhD in Informatics and Computer Engineering at the HSE School of Data Analysis and Artificial Intelligence.
Sangam Kumar Singh is currently finishing the second year of his Master of Science in Big Data Systems. After spending the first year at HSE Moscow, he has gone to the UK on a double degree track with Lancaster University. Sangam has talked to HSE News Service about his studies, hobbies, research interests, and future plans.
During the XX April International Academic Conference on Economic and Social Development, scheduled this year for April 9-12 at the Higher School of Economics, Dr David Garcia of the Complexity Science Hub Vienna and the Medical University of Vienna, Austria will present a report entitled ‘The digital traces of collective emotion’ at a session on ‘The Wellbeing of Children and Youth in the Digital Age.’ Ahead of the conference, Dr Garcia spoke with the HSE News Service about his conference presentation, his research, and plans for ongoing collaboration with HSE colleagues.
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.
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.
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.
HSE will launch a new project called Data Culture in September 2017. Starting their very first year, HSE bachelor’s students will learn to work with data, and students in a number of programmes will also become familiarised with methods of machine-learning and artificial intelligence.
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.
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.
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.