Program Overview

Master's degree in media informatics with an application subject in media economics (2022)

The Master's program in Media Informatics with a focus on Media Economics is designed to provide students with a comprehensive education in the field of media informatics, with a strong emphasis on the application of media economics.

Program Structure

The program consists of several modules, including:

• Mandatory modules (Compulsory Modules)
  • P 1: Scientific Work and Teaching
  • P 2: Selected Topics in Computer Science
  • P 3: Advanced Topics in Computer Science I
  • P 4: Deepening Personal and Social Competence
  • P 5: Advanced Topics in Computer Science II
  • P 6: Final Module: Master's Thesis and Disputation (Final Module: Master's Thesis and Disputation)
• Elective modules in the application subject of media economics (Elective Modules in Media Economics)
  • WP 4: Application subject Media Economics II
  • WP 5: Application subject media economics III
  • WP 17: Application subject Media Economics I
• Additional Elective Modules
  • WP 1: In-depth topics in computer science for Master I
  • WP 2: In-depth topics in computer science for Master II
  • WP 3: In-depth topics in computer science for Master III
  • WP 7: In-depth topics in media informatics and human-machine interaction for Master I
  • WP 8: In-depth topics in media informatics and human-machine interaction for Master II
  • WP 9: In-depth topics in media informatics and human-machine interaction for Master III
  • WP 10: IT security
  • WP 11: Information visualization
  • WP 12: Intelligent User Interfaces
  • WP 13: Big Data Management and Analytics
  • WP 14: Deep Learning and Artificial Intelligence
  • WP 15: Foundations of Machine Learning
  • WP 16: Data Mining Algorithms I
  • WP 19: In-depth topics in media informatics and human-machine interaction for Master IV
  • WP 20: Artificial Intelligence for Games
  • WP 21: E-Assessment and Learning Analytics
  • WP 22: Methods of Software Engineering
  • WP 23: Human-machine interaction II
  • WP 24: Advanced Machine Learning
  • WP 25: Data Mining Algorithms II
  • WP 26: In-depth topics in computer science for Master IV
  • WP 27: Technology-Enhanced Learning
  • WP 28: Higher-level programming languages
  • WP 29: Advanced Web Technologies

Program Details

The program is designed to provide students with a comprehensive education in media informatics, with a strong emphasis on the application of media economics. The program consists of compulsory modules, elective modules, and a final module. The compulsory modules cover topics such as scientific work and teaching, selected topics in computer science, and advanced topics in computer science. The elective modules allow students to specialize in areas such as media economics, IT security, and artificial intelligence.

Research Areas

The program covers a wide range of research areas, including:

• Media informatics
• Media economics
• Computer science
• Artificial intelligence
• Data mining
• Machine learning
• Human-computer interaction
• Software engineering

Admission Criteria

The admission criteria for the program are not specified in the provided context. However, it is recommended that students have a strong background in computer science and media informatics, as well as a good understanding of media economics.

Tuition Fees

The tuition fees for the program are not specified in the provided context. However, it is recommended that students check with the university for the most up-to-date information on tuition fees.

Conclusion

The Master's program in Media Informatics with a focus on Media Economics is a comprehensive program that provides students with a strong education in media informatics and media economics. The program covers a wide range of topics, including computer science, artificial intelligence, and software engineering, and allows students to specialize in areas such as media economics and IT security.