Four individuals are seated at a table with laptops in a modern seminar room of an Austrian higher education institution. A lecturer is leaning towards them, providing information. In the background, through large windows, green hills and houses can be seen.

Artificial intelligence (AI) is increasingly revolutionising various societal sectors, presenting us with the urgent task of designing these systems responsibly. Consequently, the demand for highly qualified professionals who can operate at the intersections of computer science, sustainability and ethics is steadily rising.

Our master degree programme in Engineering Responsible AI Systems has been developed to meet these exact needs.  The innovative degree programme prepares you for complex challenges in AI development, emphasising ethical, regulatory, and sustainable principles. You will gain the skills needed to develop and evaluate AI systems for various industries and to professionally implement sustainable solutions.

*Subject to approval by AQ Austria

Degree

Master of Science in Engineering


Organisational form

part-time / 4 semesters / 120 ECTS


Language

English


Study fee

363.36 EUR


Important dates

Admission days

  • 20.02.2025
  • 20.03.2025
  • 08.04.2025
  • 25.04.2025
  • 06.05.2025
  • 16.05.2025
  • 26.05.2025
  • 18.06.2025
  • 11.07.2025
More datesDate end
15.05.2025

15.04.2025
Info for non-EU nationals

Videos

The degree programme

AI is playing an increasingly important role in many areas of our lives. Our master degree programme in Engineering Responsible AI Systems responds to this trend by focusing on the development of advanced AI systems that respects ethical guidelines, transparency, and environmental sustainability.

AI MEETS ETHICAL CONSIDERATIONS

With all the hype around AI, it is essential to address the ethical aspects of these emerging technologies. The field of AI ethics deals with the safe and ethical application of AI technologies. This includes issues such as data privacy, the avoidance of biases, and the necessity for transparency.

Through the principles of responsible AI, we ensure that technological development aligns with ethical standards and minimises potential negative impacts. This, in turn, maximises trust and societal acceptance.

Building on this, explainable AI aims to make complex decisions made by AI systems understandable, especially in highly critical areas such as medicine, finance, and public administration.

Given the increasing regulatory requirements, such as the EU’s Artificial Intelligence Act (AIA), there will be a growing need for professionals who can assess and evaluate the technical and societal impacts of AI systems and implement the appropriate technical and organisational measures.

All these aspects are comprehensively covered in our programme.


AI FOR A BETTER WORLD

How can industrial processes be optimised? What opportunities arise in waste management and recycling? Green AI provides an answer: during your studies, you will focus on the development of resource-efficient AI systems that support sustainable and clean technologies.

Equally essential in this context is sustainable AI, which aims to minimise the environmental impact and carbon footprint of AI systems. This principle is, of course, firmly embedded in our curriculum.


EXPERTISE IN A DYNAMIC ENVIRONMENT

Our programme is designed for graduates of bachelor degree programmes in computer science and engineering as well as professionals with practical experience in the technical field who want to become experts in developing responsible AI systems.

Collaborations with research institutions and companies ensure a wide applicability of the acquired knowledge across various industries.

Upon completion of the programme, you will have a wide range of opportunities: thanks to the international orientation of the programme, job prospects will be available both domestically and abroad. The English language of instruction not only makes the programme accessible to international applicants but also promotes internationalisation in the field of Artificial Intelligence.


AI AND ENTREPRENEURSHIP

By the way: At IMC Krems, you also have the opportunity to use our Founders Lab alongside your studies. There, students receive support in implementing their start-up ideas and are guided through potential business ventures. Start-up service at its best!


AI experts with extensive knowledge of sustainability and ethics and a solid foundation in computer science are more needed than ever. This master degree programme prepares you for being at the forefront of AI development for the good of society and the environment.

Deepak Dhungana

Head of Institute Digitalisation and Informatics / Programme Director Informatics


Curriculum

A formula for success: theoretical knowledge + practical experience

The programme is built on three pillars.

Semesters 1& 2

The technical foundations of AI systems

In the first two semesters, you will learn how to build responsible AI systems that are resource-efficient, robust, scalable, and secure. This includes a deep understanding of machine learning, statistics, software engineering, and knowledge representation.

You will also explore how AI impacts and enhances sustainability, applying your knowledge in practice by developing prototypes and conducting evaluations using real-world data.

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Semester 3

Responsible AI applications and their implications 

In the third semester, the focus shifts to real-world applications of responsible AI systems in areas such as healthcare, the circular economy, and sustainability.

You will dive deep into Human-centered and Explainable AI, and explore in detail the societal implications of AI systems, including fairness, trustworthiness, and robustness.

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Semester 4

The master thesis, entrepreneurship and regulations

The master thesis is the focus of the final semester. Here, you will apply everything you have learned to advance the field of Responsible AI.

Additionally, you will gain valuable skills in entrepreneurship as well as AI compliance and regulations. Upon completion of your final examination, both industry and academic (PhD) positions will be available to you.

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What can you expect from your studies?

The curriculum provides an overview. Click on the individual courses for further information.

CourseSWSECTS
Statistics and Big Data Analysis35
Sustainability and AI for Green25
Software Engineering for AI25
AI Architecture and Cloud Computing35
Machine Learning35
Knowledge Representation and Reasoning35
 


Because the greatest
intelligence is still in
our heads.



In our programme, you will acquire comprehensive knowledge to understand AI systems and tackle technical, ethical, and environmental challenges.

Here is an overview of the key topics.

1

Computer science and mathematics

After completing the programme, you will have expertise in the mathematical, statistical and technical foundations of AI technologies. You will be equipped to design, develop and critically evaluate innovative AI systems.

Your skills will encompass the application of advanced mathematical models and statistical methods to create technological solutions and promote responsible AI development.

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2

AI ethics

After graduation, you will actively apply ethical considerations in the development and use of AI. You will identify challenges such as data privacy, biases in data, and social justice, and develop technical solutions to ensure transparency, data quality and fairness.

You will promote the responsible and equitable integration of AI into society, contributing to the advancement of good scientific practice.

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3

Green and sustainable AI

As an AI expert, you will actively consider the environmental impact of AI and develop models and algorithms to reduce the energy and resource consumption of AI systems. You will have expertise in the energy-efficient design of hardware and software and will be capable of planning, implementing, and evaluating AI systems regarding environmental protection and sustainable development.

You will particularly engage in developing AI systems for industry, waste management and recycling, aiming to strengthen the circular economy and drive process optimisations.

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4

Explainable AI

Upon completing your studies, you’ll be adept at identifying and evaluating vulnerabilities in AI systems to enhance risk management strategies. You will master explainable AI, enabling you to develop and apply methods that make complex decisions of AI systems understandable. This ensures that the functioning of AI systems is easy to understand for a broad audience.

This is particularly relevant in critical applications, such as medicine or finance, where increased attention must be paid to compliance with relevant regulations in the future.

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5

Leadership and communication skills

Throughout your studies, you will cultivate leadership qualities and teamwork skills within multidisciplinary and intercultural teams. Your ability to effectively communicate complex scientific ideas will significantly contribute to the development of innovative solutions.

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Career paths

Starting a career or enrolling for a master degree programme? There is a wide range of career paths available to you.

As a graduate of our master degree programme in Engineering Responsible AI Systems, you can establish yourself in numerous exciting professional fields. After completing the programme, you also have the option to pursue a PhD at an Austrian or international university.

Possible career fields after graduation

After completing your studies, you will be able to design, develop, and maintain responsible AI software systems and applications, always considering ethical, transparent, and sustainable practices.

During your studies, you will learn how to plan and build scalable and responsible AI architectures. At the same time, you will be prepared to integrate these architectures seamlessly into existing systems while adhering to ethical guidelines.

After graduation, you will be able to develop and implement data-driven AI solutions. This includes data preparation, model training, and evaluation — always in compliance with data protection regulations, governance, and the ethical use of information.

As a graduate, you will be able to develop innovative and responsible algorithms, optimising their performance and fairness across various applications.

During your studies, you will learn how to professionally manage the operation, monitoring, and continuous improvement of AI systems, ensuring that they remain transparent, reliable, and ethically sound.

After completing your studies, you will be able to oversee the ethical aspects of AI systems and ensure that AI-driven decisions are fair, transparent, and socially responsible. You will also ensure compliance with relevant legal frameworks and regulations.


Info events

Join us at our information events!

Thursday 13.02.2025
Info Event Online

Ask a Student - Bachelor

18:00 - 19:00 Details of event
Thursday 13.02.2025
Info Event Online

Ask a Student - Master

19:00 - 20:00 Details of event
Saturday 22.02.2025
Highlight Info Event

IMC Open House 2025

09:00 - 15:00 IMC Campus Krems Details of event

Application and admission

Is our degree programme just what you’re looking for? Here are your next steps!

We’ve put together all the relevant information for you.

What are the admission requirements for master programmes?

To qualify for a master programme, you must have completed a bachelor degree – with a workload of at least 180 ECTS and lasting at least six semesters – in a related subject, or hold an equivalent degree from a recognised Austrian or foreign higher education institution.

If your undergraduate studies are not sufficiently relevant, for instance if you’ve completed a degree in an unrelated subject, your qualifications will be assessed after we have received your completed application.

Accepted previous academic qualifications

What language skills are required for this English language master degree programme?

Your English language skills will be assessed during your admission interview. No additional proof is required.

Important​​​​​​​

​​​​​​​Do you still need to complete your military or alternative service?  If you’re a male Austrian citizen, we strongly recommend completing your compulsory national service before beginning your studies. This will allow you to finish your degree with no interruptions and start your career without delay afterwards.

Everything revolves around the students on our master degree programmes. That’s why we’d like to get to know you personally.

As part of the online application you will have to write a statement of motivation. Predefined questions about your motivation can be found in the online application. In your answers, which have to be entered in the provided input fields of the online application, you deal with the questions and explain your motivation to study the selected master degree programme

Your statement of motivation and your CV (curriculum vitae) form the basis for your application interview. The admission interview is a one-to-one interview, usually with the degree programme director.

In addition to getting to know you personally, your motives for the master degree programme will be discussed, as well as your professional background and the skillset you have acquired so far. Special attention will be paid to your previous academic and professional experience, your methodological and language skills and your general suitability with regard to your intended master degree programme.

The application interview is held in the language of instruction of the degree programme and can take place online via Microsoft Teams or in presence.

What are the dates for the interview?

There are usually a selection of dates to choose from, with quotas allocated for each date. You can select a date and time slot during the online registration process. We therefore recommend that you complete your application in good time so that you can benefit from the full selection of dates.

Once you have successfully completed your online application, it will be checked for completeness and accuracy. As soon as this process is finished, we will inform you via email and confirm your admission date.

Upcoming interview dates

Admission interview
  • 20.02.2025
  • 20.03.2025
  • 08.04.2025
  • 25.04.2025
  • 06.05.2025
  • 16.05.2025
  • 26.05.2025
  • 18.06.2025
  • 11.07.2025

Application deadline for EU nationals 15/05/2025
Application deadline for non-EU nationals 15/04/2025
Apply now

More information

Any questions?
We are happy to help!

Contact our Prospective Student Advisory Service    Contact the programme director

Team

Prof.(FH) Dipl. Ing. Dr. techn. Deepak Dhungana

Head of Institute Digitalisation and Informatics / Programme Director Informatics

Core competencies

Software Engineering, Requirements Engineering, Software Architecture, Systems design- analysis and validation

Full profile


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information(at)imc.ac.at

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