MA Artificial Intelligence, Education, Technology and Innovation

Shape the future of teaching and learning at the intersection of AI, education, and immersive technologies.

Innovation for learning, teaching, and education

The MA AI-EdTech is a forward-thinking professional online master’s program designed for ambitious professionals who want to shape the future of education in the age of artificial intelligence.

This one-year program equips graduates with advanced expertise in AI-driven learning systems, educational innovation, immersive technologies, and digital transformation. Students develop both strategic leadership capabilities and hands-on competencies to design, implement, and critically evaluate intelligent learning environments across global contexts.

The language of instruction is English. The program has a strong international orientation. Teaching takes place online, complemented by optional five-day on-campus weeks in Berlin at the Media University campus.

The study program in brief

  • Start date

    Winter semester (October)

  • Campus Locations

    Online study program

    Language: English

  • Tuition fees

    695 EUR monthly

  • Duration

    2 semesters
    (60 ECTs)

  • Degree

    Master of Arts (MA)

The study program in detail

Find out more about the content of the Master’s programme in Artificial Intelligence, Education, Technology and Innovation (MA) and your career opportunities after graduation.

Course content and teaching

The MA Artificial Intelligence, Education, Technology and Innovation master’s program at Media University Berlin combines educational sciences with artificial intelligence, VR/AR, and innovative learning technologies. Students gain extensive knowledge of AI-supported learning environments, virtual classrooms, avatars, chatbots, agentic AI systems, and immersive educational formats for schools, universities, NGOs, and museums, as well as how to critically evaluate and responsibly implement them. A focus on qualitative research, ethics, and governance enables graduates to actively and evidence-based shape the digital transformation of education as experts and consultants.

Modules

Each student must choose five graded modules:

  • Two compulsory core modules (1st semester)
  • Two of the profile elective modules (2nd semester)
  • Master thesis (2nd semester)
Your profile

The Master’s program „MA Artificial Intelligence, Education, Technology and Innovation” is aimed at aspiring graduates and professionals with a background in education, social sciences, media and communication studies, art, design, psychology, computer science, learning sciences, or related disciplines who wish to specialize in the future of teaching and learning with artificial intelligence.

Career Opportunities

Graduates of this master’s program design innovations at the intersection of artificial intelligence, education, and digital transformation. They are qualified to design, implement, and evaluate AI-supported learning environments for schools, universities, companies, NGOs, and EdTech organizations.

Possible fields of activity include:

  • AI education specialist/curriculum designer for the development of AI-supported learning modules and curricula
  • Learning experience designer (LXD) for immersive, adaptive, and personalized learning environments
  • Coordinator for digital learning or AI transformation in schools, universities, museums, and public institutions
  • Head of digital education strategy with a focus on innovation and transformation processes
  • Teacher with a focus on AI for the integration of AI skills and ethics into the classroom
  • Corporate learning & AI trainer for company-wide continuing education and training programs
  • Research and consulting activities in the field of AI, education, and learning technologies
Admission requirement

Entry Requirements:

  • A first university or university of applied Sciences degree (Bachelor)
  • Professional expereince after BA (1 year)
  • Admission without a Bachelor’s Degree is possible (see below)This route is designed for experienced professionals whose practical expertise and qualifications are considered equivalent to an academic undergraduate degree.
  • Proficiency in English (fluent in both written and spoken) is a must
  • Participants can study from everywhere, but must have adequate electronic equipment to handle various multimedia materials
  • High-speed Internet access, a good computer, and a personal e-mail account are compulsory.
  • Owning a VR headset such as Meta Quest is recommended. A Meta Quest 2 can also be borrowed from Media University.

Who Can Apply Without a BA?
Candidates may apply without a bachelor’s degree if they : have at least five years of relevant, qualified professional experience in fields such as education, technology, media, design, IT, management, or related areas, demonstrate advanced professional competencies (e.g., leadership roles, certifications, substantial project work , show a clear motivation and aptitude for the Master’s programme. The awarded degree is a fully recognised Master’s degree in accordance with §10 HRG and internationally accepted.

Recognition

Accreditation pending

Core modules, 1st semester

Fundamentals of online education
The core module “Fundamentals of Online Education” provides a comprehensive theoretical and methodological framework for understanding, analyzing, and designing online and AI-supported education in higher education. It lays the academic foundations for a critical examination of the transformation of teaching and learning through artificial intelligence, digital technologies, and globally networked learning environments.

New technologies for online education
This module teaches students the technological foundations for designing innovative digital learning environments. It examines how new technologies are changing online education, teaching practices, and global knowledge exchange.

Elective modules, 2nd semester

Generative AI
The profile module “Generative AI” focuses on the conceptual, technical, and pedagogical foundations of creating and delivering AI-generated media in educational contexts. The module explores how generative artificial intelligence is changing the production of learning materials, knowledge transfer, and instructional design in higher education and professional learning environments.

Agentic AI Systems
The “Agentic AI Systems” profile module examines the design and application of autonomous and semi-autonomous artificial intelligence systems in educational contexts. It explores how agentic AI systems, such as intelligent tutoring agents and learning companions, can support personalized learning, feedback, and interaction in online and digital learning environments.

AI/VR/XR for Education
The AI/VR/XR Scenarios profile module focuses on the design, implementation, and critical evaluation of immersive and embodied learning environments that combine artificial intelligence, humanoid robotics, and virtual and augmented reality technologies. The emphasis is on learning scenarios in which cognition is closely linked to physical action, perception, and interaction—the basic principles of embodied learning.

Master Thesis
Degree

Information material

Would you like to learn more about the programme? We would be happy to send you an overview of all the information, including all modules.

Your contact person for the study program

Do you have questions about studying? Then feel free to call us or arrange a consultation appointment by email!
  • Prof. Dr. Ranty Islam

    Prof. Dr. Ranty Islam

    Professor Campus Cologne // Deputy Head of the MA in Artificial Intelligence and Societies