Master 2025/2026

Research Seminar "Artificial Intelligence in Business"

Type: Compulsory course (Master of Data Science)

Delivered by: Big Data and Information Retrieval School

When: 2 year, 2, 3 module

Open to: students of one campus

Language: English

Course Syllabus

Abstract

The seminar is aimed at developing master's students' competences in organising and conducting research in the field of Data Science using modern methodological approaches. Within the framework of the course students will master the CRISP-ML(Q) methodology for structured construction of ML-projects, as well as MLOps principles for effective development and implementation of machine learning in industrial operation. Special attention is given to the preparation of the final qualification work (FQW): from formulating a research question to presenting the results. Students will learn how to structure a research paper, work with sources, format the paper according to academic standards, create convincing visual presentations and successfully present the results of the research at a public defence. As a result of the seminar, master's students will be able to independently conduct research in the field of Data Science and effectively present their findings.