Distance learning program Artificial Intelligence and Societies (M.A.) – MU

👉 The Master's programme Artificial Intelligence and Societies is aimed at graduates interested in the societal impacts of artificial intelligence, particularly those from the social sciences, media, design, or computer science. This four-semester, fully online programme provides comprehensive knowledge of the ethical, social, and cultural dimensions of AI, as well as applications in film, photography, virtual and augmented reality. Students develop skills in interdisciplinary research, critical analysis, and practice-oriented project work. The Master of Arts degree is state-recognised and qualifies holders for doctoral studies. The programme combines asynchronous, synchronous, and VR-supported teaching formats to create an international learning environment.

Artificial Intelligence and Societies (M.A.) at a Glance

Artificial Intelligence and Societies (M.A.) at a Glance
📜 Degree Master of Arts (M.A.)
⏳ Duration 6 Semesters
💶 Fees
from 3195 € Semester fee
from 12780 € total
🏫 University Media University of Applied Sciences , UAS based in Berlin (Germany)
The MU Media University of Applied Sciences is a private, state-recognised university of applied sciences with locations in Berlin, Cologne, and Frankfurt am Main. It offers practice-oriented and interdisciplinary bachelor's and master's programmes with a focus on media in the fields of design, communication, management, psychology, and humanities. All programmes are FIBAA-accredited or undergoing accreditation. The university is part of the Erasmus+ programme and the PROMOS funding programme and maintains worldwide university partnerships. Small study groups, close practical networking, a pronounced internationalisation approach, as well as sustainability and equal opportunities shape the study concept.
📋 Study Format Distance learning program
🎓 Field of Study Information SciencesData Science & AI
🎯 ECTS 120 Credit Points
🌍 Language of Instruction German
📖 Course contents History and Fundamentals of AI Technologies (Ethics and Society), AI and the Cultural Industries, AI Technology and Society, AI and Applied Computer Science, AI and VR for the Creative and Cultural Industries, Thesis Proposal, AI Media Project, Internship, Master's Thesis
📅 Enrollment Anytime
🔗 More Info View Vendor Profile

Who is the Master’s in Artificial Intelligence and Societies suitable for?

The English-taught Master’s programme Artificial Intelligence and Societies is aimed at graduates from various fields who wish to explore the societal, ethical and creative potentials of artificial intelligence. Ideal participants come from the social sciences, media, design, computer science, communication or art and aim to use AI responsibly in areas such as film, design, research, sustainability or VR/AR. Particular attention is given to those interested in working or researching at the intersection of technology, society and culture – for example as developers, consultants, media professionals or creators of future AI applications in a societal context.

What are the formal admission requirements?

To be admitted, you need to provide the following evidence:

  • Completed undergraduate degree (Bachelor’s or equivalent) from a university or university of applied sciences, irrespective of subject area
  • Relevant professional experience following your first degree (duration and extent will be assessed during the selection process); internships and project-related work can also be considered
  • Good English skills (the language of instruction is English; specific language certificates are required during the admission process)
  • Technical equipment: A fast computer, stable internet connection and basic hardware for remote studying are required
  • For project-based and VR-based study components, a digital camera, a 360-degree camera and a VR headset such as the Meta Quest 2 are recommended (the VR headset can alternatively be borrowed from the university)

Officially, this is an accredited and state-recognised degree programme (Master of Arts, 120 ECTS) that entitles you to pursue a doctorate.

Personally, you should bring a strong curiosity about AI and its societal impacts, as well as a willingness for interdisciplinary collaboration. Critical thinking, ethical reflection and communication skills are key abilities to creatively and solution-orientedly address societal questions of AI. Openness to new learning and working methods, the ability to work independently and interest in international and digital learning environments facilitate successful studies. Practical experience with digital media, design, art or social research is advantageous but not a prerequisite.

What content can you expect in the Master’s programme Artificial Intelligence and Societies?

In the Master’s programme Artificial Intelligence and Societies at the Media University of Applied Sciences, you will engage intensively with current AI technologies as well as their impact on society, culture and the creative industries. The curriculum combines the fundamentals of AI with practical applications in areas such as film, photography, sustainability, design and virtual realities. A special focus is placed on the ethical, social and cultural dimensions of AI.

  • In-depth engagement with the foundations and history of AI technologies, including ethics and societal impacts
  • Analysis of the interaction between AI and the cultural and creative industries
  • Development of skills in machine learning, natural language processing, computer vision and robotics
  • Concrete development of AI-supported films, VR/AR applications and immersive media projects
  • Research on topics such as AI ethics, bias, governance and the influence of AI on social processes
  • Creation of innovative solutions for sustainability, education, health and the environment
  • Simulation of social impacts, design of interactive AI characters and immersive museum experiences

Throughout the entire programme, you will strengthen critical thinking, interdisciplinary teamwork and ethical decision-making. You will gain practical experience through projects, practical exercises and a mandatory internship.

How is the structure and organisation of the distance learning programme designed?

The Master’s programme lasts four semesters and can be studied completely online. Optionally, you can participate in on-campus workshops in Berlin. The language of instruction is English, the programme is internationally oriented and uses innovative e-learning technologies.

  • 1st semester: Basic modules on AI history, ethics, society and culture
  • 2nd semester: Specialisation in AI technologies, application fields (VR, applied computer science) and development of a thesis concept
  • 3rd semester: Practical projects and compulsory internship in an AI or cultural context
  • 4th semester: Writing the Master’s thesis

The daily study routine consists of asynchronous self-study phases (via the Canvas learning management system), synchronous live seminars by videoconference as well as interactive VR sessions with avatars in Metaverse Engage and Horizon Workrooms. The programme provides diverse digital tools and support from experienced lecturers as well as access to state-of-the-art technical equipment.

What career opportunities does the Master’s programme open up for you?

With the degree Master of Arts in Artificial Intelligence and Societies, you qualify for a wide range of specialist and leadership positions at the interface of AI, culture and society. You are able to plan, manage or scientifically accompany AI-based projects and have the capability to critically reflect on legal and ethical issues.

  • Expert in AI ethics, diversity and social impacts
  • Specialist in AI applications in education, healthcare, sustainability and the environment
  • Consultant for digital transformation, policy making and governance in the AI field
  • Developer of immersive VR/AR projects, AI film production and digital cultural heritage concepts
  • Career opportunities in journalism, media, marketing and digital communication with AI expertise
  • Leadership roles in user experience and interface design for intelligent systems

Graduates are in demand internationally and can pursue a PhD worldwide after completing the Master’s degree. The programme also opens up opportunities in start-ups, international companies and research institutions.

How is the study location organised and what learning environment awaits you?

The study programme is fully organised online, allowing you to study independently of location. You use the cloud-based Canvas system, virtual meeting platforms and modern VR tools. The optional on-site workshops take place at the Media University in Berlin; the university also operates campuses in Cologne and Frankfurt am Main. Access to technical equipment such as VR headsets (Meta Quest 2) and studios is provided on-site and can partly be borrowed.

  • 100% distance learning with worldwide participation
  • Online learning platform Canvas for materials, communication and performance records
  • Specialist rooms in Berlin for focus workshops, studio work and equipment rental
  • Small study groups and personal support in the digital space

The international environment and the practice-oriented teaching philosophy ensure a modern, collaborative learning setting with individual guidance.

What costs and financing options do you have to consider?

The total costs for the Master’s programme Artificial Intelligence and Societies amount to €12,780 (€695 per month or €3,195 per semester with a regular study period of four semesters).

  • Total study costs: €12,780
  • Semester fee: €3,195
  • Monthly payment possible: €695

The Media University supports you in planning through scholarship and funding programmes such as Erasmus+ and PROMOS. In addition, you can make use of external study loans or education loans. For internships abroad and special projects, there are grants or partial scholarships, depending on the destination country and duration of study. The International Office provides advisory support, for example in selecting suitable funding options.

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