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. Our innovative programme equips you with the skills to develop and evaluate AI systems for various industries, integrating ethical, regulatory and sustainable principles throughout the process.

*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

Date 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 technical bachelor degree programmes 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.


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!


Our master degree programme prepares you for taking on a leading role in the development and implementation of advanced AI technologies that prioritise ethical and environmentally sustainable principles.

Deepak Dhungana

Institutsleitung




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 OMICS Technologies and Data Science in Biomedicine, 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

Implementing AI solutions for personalised medicine and developing ethical and transparent decision-making processes in healthcare offer numerous opportunities.

You qualify for developing responsible algorithms for financial applications, ensuring ethical and transparent data-driven decision-making processes in financial risk management.

During your studies, you engage in planning, developing and operating responsible and innovative algorithms and AI systems. After graduation, you can provide tailored AI solutions for various application domains.

As a graduate, you can strategically deploy AI systems across various sectors for the purpose of handling large volumes of data, always mindful of data governance and privacy.

From industrial process optimisation to waste management and recycling – AI solutions can and will enable more efficient resource management in the future.

You will learn how to promote sustainable practices in technology and data usage through green IT and green coding.

 After completing your studies, you can choose to work on AI systems in education that support learners and educators while considering ethical and societal aspects.


Info events

Join us at our information events!

Thursday 05.12.2024
Highlight Info Event

IMC Info Day 2024

14:00 - 18:00 IMC Campus Krems | Wing G1 Details of event
Wednesday 18.12.2024
Info Event Online

You ask - We answer

15:00 - 16:30 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

There are no dates available at the moment.

Application deadline for EU nationals 15/05/2025
Application deadline for non-EU nationals 15/04/2025
No application possible.
Application for the next study year possible from 1 December.

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

Institutsleitung

Core competencies

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

Full profile


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