PhD Monitor
/Detail
Interdisciplinary Studies in Human and Artificial Intelligence● OpenMastersPreview

Human and Artificial Intelligence (MSc/MA)

An interdisciplinary master’s programme exploring human cognition and AI from computer science, psychology, and philosophy perspectives.

Best for:Best for students with a bachelor’s degree in computer science, psychology, philosophy, or related fields who seek to explore AI’s ethical, social, and technical dimensions through an interdisciplinary lens.

University of Technology Nuremberg · Nuremberg, Germany
More professors at University of Technology Nuremberg
AI ethicsHuman cognition and AI interactionInterdisciplinary AI researchPhilosophy of AIPsychology of AIResponsible AI development
This is a masters position — not a PhD studentship.
Deadline
Register by 31 May 2027
Funding
Unfunded
4 semesters (full-time)
Start date
Winter semester (typically October)
Full-time
Location
Nuremberg
Germany

Overview

This English-taught master’s programme at the University of Technology Nuremberg bridges computer science, psychology, and philosophy to study human and artificial intelligence. Students engage in interdisciplinary research, tackling real-world AI challenges while critically examining ethical, social, and legal implications. The curriculum combines foundational modules in AI, psychology, and philosophy with elective courses and a transformative Learning in Transformation Project. Graduates emerge with a unique interdisciplinary profile, equipped to address AI’s societal impact and develop innovative solutions across fields.

AI ethicsComputer scienceCognitive psychologyInterdisciplinary researchMaster’s programmePhilosophy of AIPsychology of AIResponsible AI

What you'll do

  • Develop a strong interdisciplinary foundation in computer science, psychology, and philosophy to understand human and artificial intelligence.
  • Engage in active learning through research-oriented tasks and collaborative projects, receiving regular feedback from professors.
  • Participate in the Learning in Transformation Project, applying theoretical knowledge to real-world AI challenges over two semesters.
  • Choose elective modules to specialize in either disciplinary or fully interdisciplinary approaches, tailored to individual career goals.
  • Conduct independent research and write a master’s thesis addressing a research question at the intersection of AI and human cognition.
  • Develop key competencies such as programming skills, entrepreneurial thinking, and career readiness through specialized modules.

Requirements

Degree required: Bachelor’s degree in computer science, psychology, philosophy, or a related interdisciplinary field

Language: English; C1 proficiency (IELTS 6.5 or TOEFL iBT 90)

Instruction: English

Required skills
  • Proficiency in English at C1 level (IELTS 6.5 or equivalent)
  • Basic understanding of computer science, psychology, or philosophy concepts
  • Ability to work collaboratively in interdisciplinary teams
  • Strong analytical and critical thinking skills
Nice to have
Prior exposure to AI, machine learning, or cognitive science researchExperience with programming or data analysis toolsInterest in interdisciplinary collaboration and ethical dilemmas in AI
Eligibility
  • Open to applicants from all countries
  • No minimum age requirement
  • No residency restrictions
  • No prior work experience required

Funding & terms

Type
Unfunded
Amount
—
Duration
4 semesters (full-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-05-31

Applicants must submit their application through the uni-assist portal or the programme’s official website. Required documents include a completed application form, proof of English proficiency, bachelor’s degree certificate, transcripts, a CV, and a letter of motivation. Additional documents may be requested based on individual circumstances.

Documents required
  • Completed application form
  • Proof of English proficiency (IELTS, TOEFL, or equivalent)
  • Bachelor’s degree certificate
  • Transcripts of academic records
  • Curriculum Vitae (CV)
  • Letter of motivation
  • Passport-sized photograph
↗Check programme and admissions

Contact

Stars Team· Admissions and Student Support

stars@utn.de

https://www.utn.de/en/study/application-to-study/

Lab
Interdisciplinary Studies (Human and Artificial Intelligence Programme)
University of Technology Nuremberg
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.