Overview
The Master's Programme in Data Science at HSE University is meticulously crafted to address the increasing significance of Big Data across various sectors. As organisations generate vast amounts of data, there is a pressing need for skilled professionals who can analyse and interpret this information effectively. This programme stands at the forefront of this emerging field, combining theoretical knowledge with practical application.
Why Data Science at HSE University?HSE University is renowned for its academic excellence and innovative research. The Data Science programme is distinguished by its multidisciplinary approach, integrating insights from computer science, mathematics, and statistics. The university fosters strong partnerships with industry leaders, providing students with access to cutting-edge facilities and resources. This collaboration enhances the learning experience and prepares graduates for successful careers in data science.
Tuition Fee BreakdownThe tuition fee for international students enrolling in the Data Science programme is RUB 245,000 per year. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum of the Data Science programme encompasses a range of modules designed to provide a robust foundation in the field. Key components include:
- Computational Models
- Mathematical Modelling and Forecasting
- Computer Architecture
- Advanced Programming Techniques
- Data Storage and Retrieval
This structured approach ensures that students are well-prepared to tackle real-world data challenges, focusing on data search, collection, storage, preparation, analysis, and result interpretation.
Careers with Data ScienceGraduates of the Data Science programme are equipped to pursue a variety of career paths in sectors such as technology, finance, healthcare, and research. Alumni have successfully secured positions in leading companies, utilising their expertise to drive data-driven decision-making and innovation. Roles may include Data Analyst, Data Scientist, and Business Intelligence Specialist, among others, reflecting the diverse opportunities available in this rapidly evolving field.
Accreditation
State Accreditation
Programme Structure
Courses included:
- Modern Methods of Data Analysis
- Modern Methods of Decision Making
- Ordered Sets in Data Analysis
- Network Science
- Machine Learning and Data Mining
- Automated Methods for Program Verification
- Medical Informatics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Moscow, Russia
Disciplines
Data Science & Big Data View 10 other Masters in Data Science & Big Data in RussiaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Application form
- Bachelor’s (Specialist’s or Master’s) diploma and official transcripts of previous educational studies
- You need to have a degree in one of the following fields of study: Computer Science, Computer and Information Sciences, Applied Mathematics and Computer Science or at least to have courses in Algorithms and Data Structures, Programming, Databases Theory and Advanced Mathematics
- The Admission Committee takes into consideration the number of hours, the final assessments and your university ranking.
- CV
- Letter of motivation (~500 words, not more than one page of printed text), describing your reasons for applying in the context of your long-term career goals and background. The quality of your English is also evaluated.
- At least one letter of recommendation
- Exam results confirming language proficiency (certificates issued not earlier than 2019 are considered).
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at HSE University and/or in Russia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents245000 RUB / year≈ 245000 RUB / year
Additional Details
- 245000 – 490000 RUB/year
Living costs
Moscow
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
International students can apply to study at HSE for free through full-tuition scholarships and partial grants. Here is a link to explore: https://admissions.hse.ru/en/graduate-apply/financial-aid
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility