Бакалавриат 2025/2026

ИИ и технологии бизнес-аналитики

Статус: Курс обязательный (Международный бизнес)

Кто читает: Департамент бизнес-информатики

Где читается: Высшая школа бизнеса

Когда читается: 3-й курс, 2 модуль

Охват аудитории: для своего кампуса

Преподаватели: Никивинце Ирина Сергеевна

Язык: английский

Кредиты: 4

Контактные часы: 40

Course Syllabus

Abstract

This course develops practical skills in applying modern business analytics methods and artificial intelligence to logistics problems. Students will learn the fundamentals of digital culture and data management, master data preparation (ETL), methods of descriptive and predictive analytics using KNIME (Konstanz Information Miner), and the principles of dashboard design and data modeling using specific business examples and large language models (LLMs) with RAG approaches. Special attention is paid to data analytics leadership, implementation of new technologies (dashboards, chatbots), model management, and preparation of presentations and business recommendations. The training program combines theoretical lectures, practical seminars, and a team project. As a result, students build a portfolio of ready-made analytical solution prototypes and acquire the skills necessary for successful work in business.