Samarkand State University Data Analysis and Artificial Intelligence
Partner university
Samarkand State University
Training area
02.03.01 Mathematics and Computer Science
Program profile
Data Analysis and Artificial Intelligence
Awarded qualification
Bachelor
Duration of study:
4 years
Required period of study at the partner university (specify semester(s):
3-rd ‒ 8-th semesters
Amount of credits:
240
Language of teaching:
Russian
Required level of proficiency in English
-
Study mode (intramural/ extramural):
intramural
Program goal:
Integration of Russian-Asian educational standards for the training of highly qualified personnel in the field of data analysis and artificial intelligence.
Program coordinator(s) from NCFU (indicate contact details):
Babenko Mikhail Grigorevich –
Head of Department of Computational Mathematics and Cybernetics
Email: mgbabenko@ncfu.ru
Program coordinator(s) from partner university (indicate contact details):
Entry requirements:
Applicant is obliged to:
- Have a government-issued document on secondary (complete) general education or secondary professional education.
- Pass the entrance tests successfully. Enrollment is carried out on the basis of a competitive selection in accordance with the Rules for admission to NCFU.
Entrance tests (specify subjects and minimal grades):
Mathematics - 60
Physics / Informatics - 60
Russian language - 50
Curriculum highlights:
Mathematics in Python;
Computational workshop;
Computer technologies for solving optimization problems;
Neural network technologies for information processing;
Decision support information systems;
R programming;
Introduction: artificial neural networks;
Fuzzy logic and its applications;
Data recovery and error correction codes;
Computer algebra in Python;
Artificial neural networks in Python;
Parallel programming technologies;
Program highlights:
The educational program is focused on training of students in the field of data analysis, as well as software and hardware required for such analysis.
Academic facilities (labs, educational centers etc.) (indicate links to the site of NCFU)
Students are trained using the material and technical base of the Educational and Scientific Center for Computational Mathematics and Parallel Programming on a Super Computer and the Laboratory of Mathematical Modeling
Career opportunities:
Graduates have career development opportunities in data analysis and software development enterprises. Possible positions: Data Analyst, Algorithm Designer.