Data Science

Program description:

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Area of studies:
09.04.02
Information Systems and Technologies
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Branch of science:
Engineering, Technology and Engineering Sciences
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Institute:
Engineering School of Information Technologies, Telecommunications and Control Systems
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Degree awarded:
Master's degree
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Intake Year:
2021
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Mode and duration of study:
Full-time: 2 years
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Languages:
English

Duration of study: 2 years

 

Direction: Computer Science

 

Subject:  Information systems and technologies

 

Code: 09.04.02

 

Credits: 120 ECTS

 

Language of instruction: English

 

Head of the program:  Dr. Vasilii Borisov, PhD in Technical Sciences, Associate Professor at the Department of Radioelectronics and Communications

 

Entry requirements: 4-year Bachelor’s degree (or equivalent)

 

Program goal: The program focuses on various applications of data science and data analysis. You will learn how to build artificial intelligence systems using state-of-the-art machine learning algorithms.

 

The program is for software developers and engineers, mathematicians and computer science specialists, who want to move to the data science field. The program is focused on developing artificial intelligence systems and putting them into production.

 

The program covers three areas:

In addition to theoretical courses, the program includes a project workshop. During the workshop, students are working on real data science projects from companies.

 

You also have the opportunity to get not one, but two diplomas!

 

The double degree graduation requires that participating students study one academic year (two semesters) at each institution in order to complete part of the curriculum Student’s performance will be recognized and graded on the basis of Transcript of Records.

 

When graduated you will be awarded with two diplomas:

Curriculum:

Final examination: Oral examination and Master’s thesis defense

 

Program highlights: Graduates of the master's program "Adaptive data analysis" ready for professional work in the analysis of data of different nature and purpose, including field related to science, industry, education, governance, medicine, etc. Other potential employers include international organizations, sustainability departments, consulting companies, insurance companies, universities and research centers. This offers excellent opportunities for international students from developing countries with associated demands on knowhow. An active community and network of graduates is planned to facilitate intellectual and personal exchange of international specialists.

 

Career opportunities:

 

This program graduates will be qualified for careers in the fields of Adaptive Data Analysis and Big Data in different industries, areas and forms of ownership, institutions and organizations, including financial, credit and insurance institutions, municipal authorities and the government, academic and institutional research organizations.

 

Price (RUB, per year):

 

 

Prices marked with "*" are valid for applicants who earn 40 and more points at the entrance test. Please contact our managers for details.

 

FSU - Former Soviet Union. Includes Abkhazia, Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Tajikistan, Turkmenistan, Ukraine, Uzbekistan.

 

Contacts:

Student Recruitment and Admission Managers admission@urfu.ru  +7 (343) 375-46-27

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