This Master's program offers two specialized tracks: Modern Combinatorics and Data Science. The Modern Combinatorics track provides a strong foundation in discrete mathematics and its applications in computer science and network analysis, preparing graduates for research careers in academia and industry. The Data Science track focuses on big data analysis and machine learning for industrial applications, equipping graduates to improve products in business, industry, and science while still exploring theoretical mathematical concepts. Graduates from both tracks can pursue careers in the IT sector, big data, AI, banking, and insurance.
The program is structured into two main tracks, each offering a distinct learning path. The curriculum incorporates online learning for foundational courses and interaction with supervisors, alongside in-person components.
Graduates are well-prepared for diverse career paths in rapidly growing fields. The program aims to equip students with skills sought after by employers in both academic research and industry.
Specific admission requirements and entrance test procedures are detailed on the university's admissions pages. Prospective students should consult the 'Graduate' and 'Entrance test procedure' sections for detailed guidance.
Tuition and living cost information for international students is not provided on the program or supporting pages.
A relevant Bachelor's degree is required for admission. Prospective students should consult the university's admissions pages for detailed guidance on specific requirements and entrance test procedures.
The program is structured over two years, with the first year focusing on foundational courses like Advanced Methods of Modern Combinatorics, and the second year dedicated to further study and thesis work.
Information regarding tuition fees and living costs for international students is not provided on the program or supporting university pages.
This Master's program offers two specialized tracks: Modern Combinatorics, focusing on discrete mathematics and its applications, and Data Science, focusing on big data analysis and machine learning.
Prospective international students should follow the general graduate admission process, which involves reviewing admission requirements, preparing documents, taking entrance tests, and submitting the application via the university portal by the specified deadline.
Graduates are well-prepared for careers as IT Specialists, Data Analysts, Machine Learning Engineers, AI Specialists, Financial Analysts, Insurance Specialists, or Researchers in academia and industry.