AI for Sustainable Technologies (Master)

starting fall 2024/25: AI for Sustainable Technologies Master Degree Programme

Artificial Intelligence and Data Science are technologies that permeate almost every aspect of life and work, becoming indispensable. With the Master's programme in AI for Sustainable Technologies, you will become responsible shapers of a future where AI supports people in a sustainable manner. In the programme, you will focus on the two central concepts of 'Artificial Intelligence' and 'Sustainable Technology Development' and learn to combine your technical competencies in Data Science and Software Engineering with your skills in designing and discussing Sustainable AI.

Study mode: part-time
Degree awarded: Master of Science in Engineering (MSc)
Length of study: 4 semesters (120 ECTS)
Study places per year: 15 part-time
Location: Urstein Campus
Language of instruction: German (About 40 percent of the classes are conducted in English.)
Tuition: € 363,- per semester + Euro 24.70 student union fee per semester
Teaching times: Planned as follows:
 
  • one afternoon from 15:15 (Mon or Tue or Wed, but always the same day), maximum 6 units
  • Friday all day from 08:15 (max. 8 units, lunch break)
  •  on average every second Saturday all day (max. 8 units), with approx. 50 percent of these days taking place online - i.e. probably approx. 3 Saturdays on-site
  • In each semester there is a block week (Mon-Fri) in the middle of the semester (1st semester probably in November)
     
In the 3rd and 4th semester, the attendance time according to the curriculum is reduced from 20 SWS to approx. 17 SWS and 7 SWS respectively.
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Why a Master's degree in AI for Sustainable Technologies at FH Salzburg?

Artificial Intelligence and Data Science are technologies that deeply penetrate nearly all aspects of life and work, becoming indispensable. With the Master's programme in AI for Sustainable Technologies at FH Salzburg, you will become responsible shapers of a future where people are sustainably supported by AI.

Designing AI for the future and from a European perspective is our aspiration – our approach is inspired by technical expertise, supported by societal understanding, and characterized by engaged reflection.

Key Points about the Master's Programme in AI for Sustainable Technologies

During the programme, you will focus on the two central concepts of 'Artificial Intelligence' and 'Sustainable Technology Development,' combining your technical competencies in Data Science and Software Engineering with your skills in designing and discussing Sustainable AI.

In project work, under the guidance of coaches, you will contribute your own ideas, develop future-proof solutions, and present them in portfolios and presentations. Interdisciplinary collaboration, agile approaches, and fact- and audience-oriented communication are emphasized, qualifying you for leadership positions in business and society.

As a master's student, you will also benefit from targeted integration into the research focuses of the Department of Information Technologies and Digitalisation, familiarizing yourself with scientific approaches to address current challenges.

Study Contents

AI and Humanity

AI technologies have the potential to alter society and values. They increasingly influence our ability to responsibly navigate the foundations of our lives in the future. Therefore, it is crucial that such solutions are not adopted uncritically from non-European value systems and integrated as essential components of business models in their services and offerings. To develop sustainable and supportive AI models for the economy and society, you engage in ... Continue reading

Individualization

The introduction of questions and solution approaches is therefore an integral part of the study, allowing you to reflect on your own experiences and work environment. For instance, in your project work during the second and third semesters, you can individually deepen your subject and method competencies in selected application areas such as Language Technologies, Reinforcement Learning, or Industrial & Medical Image Processing. During the in-person sessions, coaches from technical fields and thematic areas will be available to you. You will also be ... Continue reading

Space for Networking

The Department of Information Technologies and Digitalisation hosts additional bachelor's and master's programmes that closely collaborate with AI for Sustainable Technologies. This provides you with diverse perspectives and competencies in research and teaching, along with a large international network of research, business, and educational partners. Continue reading

Job Outlook & Career

Best Jobs

"Data Science can only be successfully implemented in companies if we find more employees who can connect technology, data, and frameworks. This way, the enormous potentials of AI can be sustainably leveraged."

Mag. Dr. Norbert Walchhofer, MSc
Co-Founder & Data Scientist, cognify GmbH

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Stay abroad

Studying Internationally

In the third or fourth semester, you have the opportunity to complete a semester abroad at one of our numerous partner universities, enhancing your CV with international experience.

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