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Bachelor’s Programme 'Applied Mathematics and Information Science'

Bachelor’s Programme 'Applied Mathematics and Information Science'

This programme trains researchers, design engineers and development engineers in the fields of theoretical and applied information technology (Computer Science). The curriculum was developed in 2014 based on the approaches of leading computer science faculties, including EPFL in Switzerland and Stanford in the USA, as well as the Yandex Data Analysis School- a renowned educational institution which trains specialists in areas such as analysis and processing of big data and machine learning.

4 years
Full-time Programme
390 000 RUB/year
Tuition Fee in 2018
Russian government and HSE scholarships and tuition fee waivers available
RUS
Instruction in Russian

News

HSE Day 2018: Photo Report

On September 13, we celebrated yet another HSE Day, our annual start-of-the-academic-year festival, which is followed the year’s tough road of studies. Let’s look at some pictures from the events at Gorky Park and relive its best moments!

Computer Science Freshmen Take Home Medals at International Olympiads

On September 2-7, one of the world’s most prestigious programming competitions – the International Olympiad in Informatics (IOI) – took place in the Japanese city of Tsukuba. Three students from the HSE Faculty of Computer Science took home medals.

Illustration for news: DeepBayes 2018: More Bayesian Methods in Deep Learning

DeepBayes 2018: More Bayesian Methods in Deep Learning

The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.

Illustration for news: HSE Maintains Position in Top-300 of QS Graduate Employability Rankings

HSE Maintains Position in Top-300 of QS Graduate Employability Rankings

The QS Graduate Employability Rankings has published a list of the Top-500 universities in the world in terms of graduate employability outcomes and prospects.

Illustration for news: Six New Things to See on HSE Day 2018

Six New Things to See on HSE Day 2018

HSE Day is an annual event that never fails to surprise guests with something new. Below is a list of six new themed events to be featured at this year’s festival in Gorky Park on September 13.

Illustration for news: HSE Day For Everyone

HSE Day For Everyone

On September 13, the annual HSE Day will take place in Gorky Park. This is an exciting event, open to people of all ages and backgrounds. Every year, the choice of activities becomes longer and longer. Find out here what’s on offer – there’s something for everyone.

HSE Enters Top 35 in THE Emerging Economies Rankings

The Higher School of Economics has climbed to 32nd place in the Times Higher Education Emerging Economies Rankings, improving its previous position by 16 places.

Illustration for news: HSE Student to Present at Association for Computational Linguistics Conference

HSE Student to Present at Association for Computational Linguistics Conference

An article by HSE Faculty of Computer Sciences senior Artyom Gadetsky was accepted for presentation at the Association for Computational Linguistics international conference, the only A* level conference on computational linguistics. According to the CORE system, which ranks large conferences in computer science, the category A* is the highest level for a conference.

Illustration for news: Machine Learning Helping to Save Money at CERN

Machine Learning Helping to Save Money at CERN

The cost of SHiP detector to be reduced by 25%

HSE University Opens Joint Laboratory with Samsung Research

Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.