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Fachhochschule Salzburg University of Applied Sciences Master in AI for Sustainable Technologies
Fachhochschule Salzburg University of Applied Sciences

Master in AI for Sustainable Technologies

Salzburg, Austria

4 Semesters

German, English

Part time

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EUR 363 / per semester *

On-Campus

* ÖH contribution

Introduction

Artificial intelligence and data science are technologies that permeate almost all areas of life and work and are now indispensable. With the master's program AI for Sustainable Technologies, you will become responsible designers of a future in which people are supported by AI in a sustainable way. During your studies, you will focus on the two central terms 'artificial intelligence' and 'sustainable technology development' and learn to combine your technical skills in data science and software engineering with your skills in designing and discussing sustainable AI.

Why a master's degree in AI for Sustainable Technologies at the FH Salzburg?

Artificial intelligence and data science are technologies that permeate almost all areas of life and work and are now indispensable. With the master's program AI for Sustainable Technologies, you will become responsible designers of a future in which people are supported by AI in a sustainable way.

The most important thing about the master’s program AI for Sustainable Technologies

During your studies, you will focus on the two central terms 'artificial intelligence' and 'sustainable technology development' and learn to combine your technical skills in data science and software engineering with your skills in designing and discussing sustainable AI.

In project work, you will contribute your own ideas under the guidance of coaches, develop sustainable solutions, and present them in portfolios and presentations. Interdisciplinary collaboration, agile approaches, and fact- and target-group-oriented communication are very important and qualify you for leading positions in business and society.

As a master's student, you also benefit from targeted integration into the research focus of the Department of Information Technologies and Digitalization, which familiarizes you with scientific solutions to current challenges.

  • Type of study: Part-time
  • Diploma: Master of Science in Engineering (MSc)
  • Duration: 4 semesters (120 ECTS)
  • Study places/year: 15 part-time
  • Place of study: Campus Urstein
  • Classroom language: German
    (approx. 40 percent of the courses take place in English)

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Program Admission Requirements

Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.

About the School

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