Bachelor
2025/2026
AI and Business Analytics Technologies
Type:
Compulsory course (International Business)
Delivered by:
Department of Business Informatics
When:
3 year, 2 module
Open to:
students of one campus
Instructors:
Irina Nikiforova / Nikivincze
Language:
English
ECTS credits:
4
Contact hours:
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.