Fachhochschule Salzburg University of Applied Sciences
Master in AI for Sustainable TechnologiesSalzburg, Austria
DURATION
4 Semesters
LANGUAGES
German, English
PACE
Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 363 / per semester *
STUDY FORMAT
On-Campus
* ÖH contribution
Key Summary
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)
Gallery
Admissions
Curriculum
1st semester
- Agile project management
- Analytics & Knowledge Discovery
- Data Science & Artificial Intelligence
- Discussion & argumentation skills
- IT & security management
- Mathematics & Modeling
- Software & Process Notations
- Distributed systems & cloud technologies
- Future-proof technology & sustainable society
2nd semester
- Applied Statistics
- Machine learning
- Machine ethics
- Modern software architectures
- Project 1
- Software Engineering & Operations
- Time Series Prediction & Business Forecasting
- Sales, Marketing & Digital Innovation
- Target group-oriented communication
3rd semester
- Applied AI Lab
- Deep Learning for Image Analysis
- Ethics & Sustainability
- Intercultural communication skills
- Language Technologies & Applications
- Master seminar & master expose
- Project 2
- Reinforcement Learning for Intelligent Agents
- Business management & founding
- WF: Big Data Engineering
- WF: Industrial image processing
4th semester
- Advanced presentation skills
- Dashboarding & Business Intelligence
- Explainable AI
- Master thesis
- Master's examination
- Reading Group
Program Tuition Fee
Career Opportunities
With AI and software skills, you will be in high demand and will work on important interfaces and decision-making processes in companies and organizations. Your communication and analysis skills are particularly valued in multidisciplinary projects that question existing paradigms and create new approaches to solutions. In addition, with the leadership and reflection skills you have acquired, you are ideally positioned for management positions.
Your possible area of activity is diverse: from the technology sector itself to retail, healthcare, and finance to the service sector, there is a wealth of interesting and future-proof jobs and tasks.
Specifically, you can take on the following professional positions, for example:
- Data scientist
- AI Consultant (optionally self-employed)
- Sustainable Innovations Manager
- Business Intelligence Analyst
- Machine Learning Engineer
With its technical foundation, the course also prepares you for a potential further academic career in the form of a Ph.D. degree or for research-oriented tasks in companies.