National Research University - Higher School of Economics (HSE) Multiple locations Overview
On the strength of its multidisciplinary design, this Data Science programme at National Research University - Higher School of Economics (HSE) may serve as a backbone that is of interest to graduates of numerous faculties, as well as to staff members at research centres.
Graduates of the programme will be able to solve problems concerning data search, collection, storage, preparation and analysis, as well as interpretation of results in the area of specialization.
The aim of the programme is to train highly-qualified experts in applied mathematics, information science and data analysis.
The programme involves an in-depth study of mathematical methods of artificial intelligence models and modern methods of data analysis, mathematical and informational modeling of complex systems as well as computer realization of these methods. Knowledge and skills of graduates from this course are in demand by Russian Federation ministries and institutions, regional administrations and large companies.
The concept and the curriculum of the specialization in Internet Data Analysis have been developed in conjunction with Yandex. This track involves the teaching of special disciplines by the Company staff members, the participation of students, postgraduates and lecturers in projects implementing tasks suggested by Yandex and related to its business operations, vocational training for students in Yandex and joint research carried out together with Yandex staff.
More information
Visit official programme websiteProgramme Structure
Courses included:
- General Curriculum Contents
- Bridging Courses:
- Discrete Mathematics for Application and Algorithm Development
- Probability Theory and Mathematical Statistics
- Components of the Field of Study
- Basic Courses:
- Modern Methods of Data Analysis
- Modern Methods of Decision Making
- Network Science
- Machine Learning and Data Mining
- Elective Courses:
- Automated Methods for Program Verification
- Medical Informatics
- Data Analysis in Medicine
- Data and Service Engineering for Automating Business Processes
More information
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
120 alternative credits
Delivered
Blended, Online
Disciplines
Computer Sciences Data Science & Big Data View 10 other Masters in Data Science & Big Data in RussiaMore information
Visit official programme websiteEnglish requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 80
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6
Other requirements
General requirements
The admission boards evaluate applications for full and partial scholarships places and fee-paying places.Submit an Application FormYour application will be evaluated by the admission committee of your chosen degree programme. HSE will be holding its special admission campaign for international students and your application may be considered for both a state-funded place (full-tuition waiver) and a fee-paying place.Prepare Your Documents
Diploma and official transcripts of previous educational studies
CV, which confirms your professional experience
Letter of motivation
At least one letter of recommendation
More information
Visit official programme websiteTuition Fee
-
International
5520 EUR/yearTuition FeeBased on the original amount of 5520 EUR per year and a duration of 24 months.
390 000 RUB
Funding
International students can apply to study at HSE for free through full-tuition scholarships. This merit-based scholarship will completely waive all tuition fees for selected full-degree Master's programmes at HSE.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
More information
Visit official programme websiteMore information
Visit official programme websiteMore information
Visit official programme website
Improve page content