Master 2025/2026

Data Analysis in Finanses

Type: Compulsory course (Finance)

Delivered by: Department of Economic Theory and Econometrics

When: 1 year, 3, 4 module

Open to: students of one campus

Instructors: Andrey Aistov

Language: English

Course Syllabus

Abstract

During the course, students gain practical abilities in using modern computer software and utilise the tools required to analyze financial data. The course covers the following main topics: importing financial data, primary processing and visualization, building a trading robot and evaluating the efficacy of the chosen strategy, cluster analysis, forming an investment portfolio, estimating the parameters of empirical models, forecasting.