2025/2026

Data and Analytics in Finance

ID 1037938

Category 'Best Course for Career Development'

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Type: Mago-Lego

Delivered by: School of Economics and Finance

Where: Faculty of Computer Science, Economics, and Social Sciences

When: 3, 4 module

Online hours: 46

Open to: students of one campus

Instructors: Nikita Matkin

Language: Russian

ECTS credits: 6

Contact hours: 64