Media University

MA in Artificial Intelligence and Societies

This program is aimed at students with an undergraduate degree (BA) in any subject interested in artificial intelligence technology and societies. You do not need a Computer Science or informatics background for this program. A background in social sciences, art, design, or any media subject is a plus but not mandatory.

1. Curiosity: Ideal students are driven by a deep curiosity to explore the intersection of artificial intelligence (AI) and society. They are eager to understand the impact of AI on variousaspects of human life, including culture, ethics, policy, nature, education, and social dynamics.
2. Creativity: an ideal student likes to explore the new possibilities of AI-driven technology to create striking media such as video or photography, design, or a whole VR scenario. Students can choose in the second semester in which field they want to specialize.
3. Interdisciplinary Mindset: AI and Societies is a multidisciplinary field that requires a holistic approach. Our ideal students appreciate the importance of integrating knowledge from diverse disciplines such as computer science, sociology, philosophy, film, photography, art and design, psychology, anthropology, or political science. They understand the value of collaboration and seek opportunities to bridge gaps between different fields.
4. Critical Thinking: Our program emphasizes critical thinking and analytical skills. Ideal students can examine complex problems, evaluate different perspectives, and develop wellreasoned arguments. They strongly desire to question assumptions, challenge existing paradigms, and propose innovative solutions.
5. Ethical Awareness: As AI increasingly shapes our society, students must be ethically aware. Ideal students demonstrate a deep understanding of ethical issues related to AI, such as bias, privacy, accountability, and transparency. They promote responsible AI development and deployment to ensure fairness, justice, and social well-being.
6. Communication and Collaboration: Effective communication is essential for addressing the societal impact of AI. Ideal students are skilled communicators who can translate complex technical concepts into clear and accessible language for diverse audiences. They actively collaborate, fostering teamwork and building bridges between AI experts and other stakeholders.
7. Adaptability and Openness: AI constantly evolves, and ideal students embrace change and adapt to new technologies and methodologies. They are open to different perspectives, value diversity, and seek to learn from others. They are comfortable navigating uncertainty and willing to explore innovative solutions to societal challenges.
8. Empathy and Human-Centered Approach: An ideal student recognizes that AI should be designed and deployed with a human-centered focus. They prioritize the well-being and interests of individuals and communities, considering the social implications of AI technology. They strive to ensure that AI benefits all members of society, leaving no one behind.
9. They want to make meaningful contributions to the field and help shape a future where AI serves society's best interests.
10. Internationality: learn at Germany’s premier private university for Applied Sciences and graduate with students from over 130 different countries.

Curriculum

Semester 1

• Core Module 1: Fundamentals of AI
  • Artificial Intelligence and Anthropology
  • Dynamics of Human-AI Cognition
  • Qualitative Research Methods
  • Artificial Intelligence and Healthcare
• Core Module 2: AI and the Cultural Industries</ br>
• AI-Driven Cinematography
• Immersive Storytelling
• Exploring AI-driven Graphic Design
• AI for Spirituality and After Life-Technology
• AI and VR for Cultural Heritage and Site Reconstruction

Semester 2

• Profile Module 1: AI Technology and Societies
• Avatars in Artificial Environments
• AI for Sustainability and Coping with Climate Change Impacts
• Emerging Technologies in the Amazon Region
• Artificial Intelligence and Decolonization
• Artificial Intelligence, Emotions, and Psychology

Semester 2

• Profile Module 2: AI And Applied
• Computer Science
• Visual Analysis with Machine Learning
• Neuronal Networks, Deep Learning, and Natural Language Processing
• Advanced Techniques in AI Chatbots
• Building Immersive Experiences in the Metaverse

Semester 2

• Profile Module 3: AI And VI For
• The Creative And Cultural Industries
• AI-Driven Photography
• AI-Driven 3D-Object-Development in Virtual Reality
• Artificial Intelligence, Social Media Marketing and Activism

Semester 3

• Practice / Project
• AI and Journalism: Exploring the Intersection of Technology and Media
• Computer Vision, Image Recognition, and Object Detection
• Robotics, Smart Homes, Cultures, and Societies

Semester 4

• Coding, Programming
• AI and Sound
• AI Video and Animation
• AI-Driven Editing

Completing a Master of Arts program in Artificial Intelligence and Societies opens up many career opportunities for graduates. With a deep understanding of the intersection between AI and society and the technical skills to create AI solutions, our students are equipped to make significant contributions in various professional domains. Here are some target jobs that align well with the skills and knowledge gained from this program. These target jobs represent just a glimpse of the diverse and exciting career paths that await graduates of our Master's program in Artificial Intelligence and Societies.

• AI-Expert: Companies creating artificial intelligence technology need AI professionals with combined skills in Applied Computer Sciences, Social Sciences, and practical AI-driven skills in creating and designing, which students are gaining in the MA in Artificial Intelligence and Societies.
• Expert for AI-Driven VR in the Metaverse: As Artificial Intelligence technology is melting with virtual reality technology, experts in both sectors are urgently needed. The MA in AI and Societies equips students with combined skills of AI and VR expertise to work in the Metaverse.
• AI Education Specialist: As AI continues transforming education, there is a growing need for professionals who can develop AI-focused educational programs and resources. Graduates can work as AI education specialists, designing curricula and AI teacher bots, delivering workshops, and training educators to integrate AI concepts into their teaching practices. They can create AI-driven VR storytelling for educational games.
• AI User Experience (UX) Designer: As an AI UX designer, graduates can shape user experiences by integrating AI technologies into digital products and services. They can optimize interfaces, design chatbots or virtual assistants, and create intuitive interactions that enhance user satisfaction and engagement
• AI Cultural Heritage Specialist: Cultural heritage institutions such as museums, galleries, and libraries increasingly utilize AI technologies to preserve, analyze, and interpret artifacts and historical data. Graduates can work as AI cultural heritage specialists, combining their knowledge of AI and cultural contexts to digitize collections, curate interactive exhibitions, and develop AI-powered cultural research and preservation tools
• AI Startup Entrepreneur: With a solid understanding of AI and the creative industries, graduates can venture into entrepreneurship by founding their own AI startups. They can identify opportunities to apply AI technologies in areas such as gaming, virtual reality, augmented reality, or creative software development, disrupting traditional models and driving innovation in the sector.
• AI Policy and Ethics Consultant: Graduates can work as AI policy and ethics consultants, advising organizations on AI's responsible and ethical use in the creative and cultural industries. They can contribute to shaping guidelines, standards, and regulations to ensure AI technologies' ethical development and deployment in these domains.
• AI Researcher: For those inclined toward academia and research, a Master's in AI and Societies is a stepping stone to pursuing a Ph.D. and conducting cutting-edge research in AI and societies, human-AI interaction, or AI ethics and policy. This path enables graduates to contribute to advancing knowledge in the field.