HSE Faculty of Computer Science Celebrates its First Graduates of the Data Science and Business Analytics Programme
At the beginning of July, the Data Science and Business Analytics programme at the HSE Faculty of Computer Science held its first graduation ceremony. Most graduates have already found jobs in various fields—Data Science, development, product management, systems analysis, and so on. Many of the bachelors plan to continue their studies at the best international and Russian universities, but they are not going to say goodbye. ‘We have been and will always be one big team,’ they say.
The first students have had a lot of challenges and excitement over the course of their studies including moving to Pokrovka, switching to distance learning, then to hybrid learning, and finally coming back to traditional offline studies. They had to take exams amid COVID restrictions, with the exam formats changing each year (open book, closed book, with or without proctoring). All this, including deadlines, coursework, and diploma papers, is now over. The graduates are holding their diplomas in their hands, and they will soon have to make an importance decision as to what path in life to take after this successful start.
Tamara Voznesenskaya, Academic Supervisor of the programme, emphasised the significance of this first graduation event for the HSE Faculty of Computer Science.
‘The programme has its first graduates. It is a kind of graduation ceremony for the programme itself, as the first results of our work go beyond the university. Our Data Science graduates have chosen different trajectories. Some have already enrolled in Master's programmes at universities in Belgium, Great Britain, China, and Portugal, while others are in the process of entering HSE or other Russian universities. Some graduates are already working in banks, consultancies, startups, Data Science, and R&D divisions of various companies, while others are launching their own startups. I wish all our graduates the best of luck!’
Out of 42 graduates, five graduated with honours: Daniil Karzanov, Yunin Pei, Tigran Ramazyan, Ilya Sobakinskikh, and Korniy Tomashchuk.
‘The graduation ceremony is a long-awaited event for every student,’ says Tigran Ramazyan. ‘Four years of classes, home assignments, tests, and exams have come to their logical fruition. It has been twice as important a celebration for us, because we are the first HSE Data Science graduates.’ While still in his second year, Tigran chose an academic career trajectory, which is rather unusual for the Data Science graduates. Tigran Ramazyan began studying physics-related problems. Last summer, he even had an internship at CERN. ‘The knowledge in higher mathematics, statistics, and machine learning that the programme gave me has played a key role in achieving my professional goals,’ he says. After the official graduation ceremony, the inaugural graduates gathered as a class to share this joyous occasion with the professors they cherish so much.
'We were happy to meet off campus, compare views on life and education, and discuss the latest news about AI in industry and science. In addition to sharing nostalgia for the time we spent together at HSE University, we also discussed plans for the future.'
Data Science graduates are in high demand in the labour market, so most of them have already found jobs in various fields: Data Science, development, product management, systems analysis, etc. Denis Shilov—one of the graduates—has founded a startup that analyses human psychological well-being based on behavioural and physiological data. Some alumni would like to stay on to teach at the Faculty of Computer Science, and among them is Natalia Krause, who plans to join her alma mater programme as a teacher next academic year. She says the programme helped her obtain good knowledge in both mathematics and economics, while HSE University made her fall in love with learning, meeting tight deadlines, time management, and diligence.
‘Personally, I am more interested in the trajectory of studies in IT management and economics, so since my second year, I have been developing in these areas as a product manager and systems analyst. I am delighted to be one of the first graduates of Data Science, a really unique programme, and I would like to continue my academic work in this field.’
As applied data analysis offers a wide range of opportunities for further education, many graduates have successfully entered the world's best universities (UCL, Queen Mary University of London, Tsinghua University, KU Leuven, etc). Others have decided to continue their studies at the Faculty of Computer Science. Vladislav Abramov, one of the first graduates, entered the Master's programme at NOVA IMS University (Lisbon). ‘While I was studying the Data Science Programme, I met some talented guys who became close friends and colleagues. It was here, thanks to annual coursework and internships, that my career in Data Science began,’ Vladislav Abramov emphasized. Vladislav believes that he understood the material he studied much better and was able to see its business value instantly thanks to the practice integrated closely in the learning process.
‘Many would say that it is better not to combine work and university studies. I’d say that this is not the case with data analysis. It's very sad to say goodbye to my classmates and teachers, we were one big team. I hope that we will remain a big team, working together, sharing experience, and visiting each other's offices as CEOs.’
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
HSE University’s Faculty of Computer Science and Samolet, one of Russia’s largest development companies, are launching a new Master’s Programme 'Data Science for Construction, Architecture and Engineering'. Samolet will finance the tuition of the 30 best applicants on the programme.
The awards ceremony for the winners of the Data Analysis National Olympiad (DANO) has taken place at the HSE Cultural Centre. This is the second time the Olympiad has been held, and was organized by HSE University together with Tinkoff. About 7,000 participants from different regions of Russia and 13 other countries took part in the event. Those coming in the top 25 of the individual ratings will be able to study at HSE University for free.
Data analysis enthusiasts from different regions of Russia and 13 foreign countries recently took part in the Data Analysis National Olympiad (DANO). The results of the first round will be announced on October 20th.
The ‘Data Science and Business Analytics’ bachelor’s programme at HSE Faculty of Computer Science has received professional and public accreditation by the AI Alliance Russia. This is the third programme of the faculty that has received accreditation from the AI Alliance Russia, following the bachelor's programme in ‘Applied Mathematics and Information Science’ and the master’s programme in ‘Financial Technologies and Data Analysis’.
In August 2018, the HSE Faculty of Computer Science launched a Joint Department with SAS, a world leader in analytics software. The Department’s objective is to provide better training for future data experts. The HSE News Service reports on the ideas that have come to fruition and how academic teaching is combined with hands-on training there.
The HSE Faculty of Computer Science, Yandex, and Otkritie Bank are holding the fifth International Data Analysis Olympiad (IDAO). There will be two competition stages: the qualifying round will last from February 1 to 28, 2022, and the finals will take place from April 16-17. Registration for the event is already underway.
The Faculty of Computer Science at HSE University, Yandex, and this year’s platinum partner, Otkritie Bank, held the International Data Analysis Olympiad (IDAO) for the fourth time. This year’s first-place winner was the ‘random team’, Ilya Kornakov and Kirill Borozdin, from Switzerland. Second and third places went to the Russian teams ‘Mylene Farmer’ (Vasiliy Rubtsov, Anvar Kurmukov) and ‘Shizika’ (Dmitry Simakov, Nikita Churkin).
The registration period for the International Data Analysis Olympiad (IDAO-2021) is open until March 12. The qualifying round has already begun and will run until March 31. This year, the HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is Otkritie Bank. The Olympiad is organised by leading data analysts for their future colleagues—early career analysts and scientists.