Human and Artificial Intelligence (MSc / MA) University of Technology Nuremberg

Courses are held in English.

Interdisciplinary research on human and artificial intelligence from three perspectives

The English-language Master’s programme in Human and Artificial Intelligence connects computer science, psychology and philosophy and offers new perspectives on human cognition and artificial intelligence.

Do you want to not only understand what defines the human mind but also how to manage artificial intelligence responsibly? This holistic perspective is more crucial than ever in science, business and governance. Whether your focus is on computer science, psychology or philosophy or you opt for a fully interdisciplinary approach, this programme will allow you to build on your knowledge from your Bachelor’s degree programme while developing new ideas across disciplines. You will transform these ideas into solutions and critically examine their social impact. By tailoring your course selection, you can shape both the interdisciplinary range and subject-specific depth individually to match your interests and goals.

Study programme concept

Our innovative teaching and learning approach is based on extensive research findings and allows you to participate actively in the learning process and reflect on your learning activities. Instead of just learning by heart, you will complete learning-oriented tasks throughout the semester and receive regular personal feedback on your progress from the lecturers. Find more information about our unique learning design here.

1 March until and including 31 May 2026

Curriculum

First semester: laying the foundations together
In the first semester, you lay the foundation for your studies. Through the Foundation Modules, you strategically expand your knowledge in subject areas that are new to you. During the admission process, the modules that will help you build a solid base are assessed. Additionally, you will engage with artificial intelligence in two modules. You will not only learn the technical basics, but you will also understand the social and legal contexts that shape artificial intelligence and its use.

Second semester: deepen your specialist knowledge
You will deepen your knowledge in the three core disciplines of philosophy, psychology, and computer science. At the same time, you will begin to shape your individual profile. With your first Elective Module, you can take advantage of the broad course offerings at UTN. Whether you choose a disciplinary focus, which will be shown on your Master’s certificate, or you make your own interdisciplinary programme, the choice is yours. Your academic mentor will support you.

Additionally, you will start the Learning In Transformation Project with your fellow students: over two semesters, theory and practice will be connected as you apply your knowledge to real-world projects and exchange experiences during courses.

Third semester: find interdisciplinary solutions and build your profile
Now the heart of the Master’s programme awaits you. The combination of disciplines engages in interdisciplinary dialogue. In the modules "AI & Ethics", "AI & Psychology" and "Philosophy, Psychology & AI", you and your fellow students will always work with two professors from different disciplines on real-life research questions. At the same time, you will develop your profile further by choosing additional elective modules according to your interests and goals.

Fourth semester: your successful Master’s degree
In your Master’s thesis, you will address a research question and find the answer to it. Your degree not only will reflect your individually designed study profile, but it will also show that you can look beyond your own disciplinary horizons and enter into a dialogue with different disciplines.

Key Competencies modules: keep an eye on your career and develop yourself further
In addition to the core modules, you can prepare for your professional future in the Key Competencies modules. Whether it’s programming skills, key competencies, or entrepreneurial thinking, these modules will optimally prepare you for your career.

Curriculum:

No tuition fees

The semester fee is 72 EUR.

You can find the detailed requirements for the Master's degree programme in Human and Artificial Intelligence (MSc / MA) here.

Do you have any questions about the requirements or the documents to be submitted? Then visit our FAQ or contact us directly at stars@utn.de!

1. Language certificate English C1
   You can prove your language skills by showing a successfully completed language test, which is not older than two years. We will accept the following certificates: TOEFL Internet-based min. 90 points, TOEFL computer-based min. 233 points, TOEFL paper min. 577 points, IELTS min. 6.5, Cambridge language assessment C1 advanced.
    
2. Language certificate German A2 or German-language university entrance qualification
   The proof can also be submitted later up to the registration of the final paper (beginning of fourth semester). If a language test is already submitted for the application or enrolment, it must not be older than two years.

1 March until and including 31 May 2026

No

International students in Germany can work for up to 120 full days or 240 part days per year, as noted on their residence permits. During the semester, work is limited to 20 hours per week to prioritise studies.

Options include working at the university as a research or student assistant, supporting teaching, research, or administration. These positions are often listed on UTN’s website. Students may also work for companies in roles related to their studies or take up mini-jobs, which pay up to 520 EUR per month and are exempt from social security contributions. Part-time jobs allow higher earnings but require paying taxes and social security.

Please visit https://www.utn.de/en/study/working-as-a-student/ for further information or reach out to our Early Career Centre (stars-career@utn.de) after your arrival in Nuremberg.

Accommodation in big cities such as Nuremberg can be scarce, especially in the weeks leading up to a new semester. To improve your chances of finding a suitable and affordable place to stay, it is recommended to start your search early and consider nearby areas as well. The region's well-connected public transport system ensures easy access to your place of study or work, even if you live outside the city centre.

Student dormitories offer affordable, furnished rooms exclusively for students, with rents ranging from 200 EUR to 600 EUR per month, depending on the provider and facilities, though waiting lists can be long. Shared apartments ("WGs" in German) provide a social atmosphere with reduced rent through shared living spaces, with monthly costs typically between 250 EUR and 500 EUR. Renting your own apartment offers privacy and flexibility, with prices ranging widely based on size and location, from around 500 EUR to over 1,000 EUR per month. For short-term stays or an initial solution, subleases or temporary accommodations (such as Airbnb or furnished rentals) can be convenient, with sublease rents similar to shared apartment prices and temporary rentals often costing significantly more (700+ EUR per month).

Please visit https://www.utn.de/en/study/accomodation-search/ for further information or reach out to our Welcome Centre (welcome@utn.de).

Our Early Career Centre is the central point of contact for all students, doctoral candidates and post docs in the various career phases. We offer support tailored to individual needs and career paths. Our services include advice on career orientation and job applications as well as application training and networking. If you have any questions, please contact our Early Career Centre: stars-career@utn.de.