Studium: Master, Work-friendly
Industrial Data Science and AI-based Optimisation

Study track of the Master’s degree programme in Data Science and Artificial Intelligence
Subject to approval by the responsible bodies.

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Utilize AI algorithms and intelligent analysis methods to optimise complex industrial processes. The study track Industrial Data Science and AI-based Optimisation of the Master’s degree programme Data Science and Artificial Intelligence equips you with cutting-edge frameworks, tools, and methods to unlock unprecedented potential in industrial robotics, logistics, and production.

Academic Degree

Master of Science in Engineering (MSc)

Mode of Study

Work-friendly / 4 Semester / 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:

20.01.2025

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.

More information

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.

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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.

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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.

News

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15.11.2024 Podcasts

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What’s happening over the next few days and weeks? We have the overview for the 2024/2025 academic year for you.

23.09.2024 Blog

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