Wir vermittelt Ihnen im Studium modernste Tools und Techniken, um als Datenanalyst:in in einem Unternehmensumfeld einen entscheidenden Beitrag zu leisten.

Studium: Master, Work-friendly
Big Data and Business Intelligence

Study track of the Master’s degree programme in Data Science and Artificial Intelligence

Apply now!

Leverage big data to gain new insights in business through modern and intelligent analysis methods and utilize them for decision-making. The study track Big Data and Business Intelligence of the Master’s degree programme Data Science and Artificial Intelligence provides you with cutting-edge tools and techniques to make a significant impact as a data analyst in a business environment.

Academic Degree

Master of Science in Engineering (MSc)

Mode of Study

Work-friendly / 4 Semesters / 120 ECTS

Language of instruction

English

Head of Degree Programme

MMMMag. DDr. Wolfgang Granigg

Campus

Graz

Department

Applied Computer Sciences

Institute

Business Informatics and Data Science

Current application period (for winter semester) until:

24.03.2026

Dates

Tuition fee

€ 363,36 per semester

Admission

Before you start your degree programme you have to apply and go through the admissions procedure. Here you can read up on this and find the most important dates and deadlines.

Admission

My Studies

Here you can find everything you need to know about the course: course content, student and research projects, the semester and internship abroad, and the teaching staff.

My Studies

After Graduation

Many different occupational fields and career opportunities are open to you as a graduate of our degree programme. Find out here what you can do.

After Graduation

Focus areas

Core topics

State-of-the-art infrastructure

Student projects

Did you know, …

… that a wide range of careers are open to our graduates?

Potential employers include companies in the banking and insurance industry, e-commerce and online marketing, pharmaceuticals, bioinformatics and healthcare through to companies involved in business management applications of data mining, such as business and predictive analytics in digital production.

Did you know, …

… that the course is organised in a work-friendly manner?

Lectures are held from Wednesday to Friday in the first year, only one day a week in the 3rd semester, and in a block of five weeks at the start of the 4th semester. In this way you can combine your studies, especially the projects and the Master’s thesis, with part-time employment. Weekends are free. E-learning accounts for a small portion of classes.

Did you know, …

… that there is great demand for experts in data and information science?

Most companies have a huge amount of electronically stored information. Even if data warehouses have been established, the stored information is often not used professionally, e.g. using methods of data condensation, processing and development. These companies need experienced professionals who use their data to generate information and knowledge for decision-making documents, regular analyses or for process control.