Artificial Intelligence and Data Science Deggendorf Institute of Technology

Overview

Artificial Intelligence (AI) is revolutionising various sectors, akin to the transformative impact of electricity over a century ago. The M.Sc. in Artificial Intelligence and Data Science at Deggendorf Institute of Technology is designed to equip students with comprehensive knowledge and skills to navigate this evolving landscape. The programme is structured to provide both theoretical and practical insights into AI, enabling students to effectively harness and develop AI technologies.

Deggendorf Institute of Technology is renowned for its commitment to student success and innovative teaching methods. The university collaborates with regional high-tech industries, enhancing the learning experience through practical exposure and networking opportunities. This unique approach not only enriches the curriculum but also fosters a diverse and multicultural environment, promoting intercultural understanding and collaboration among students from various backgrounds.

The tuition fees for the M.Sc. in Artificial Intelligence and Data Science are as follows:

• International Students: EUR 0 per year
• European Students: EUR 0 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is designed to cover essential aspects of AI and data science, structured over four semesters:

• Semester 1:
  • Artificial Intelligence and Software Development
  • Theoretical Fundamentals of Artificial Intelligence
  • Advanced Machine Learning
  • Elective 1
  • Elective 2
  • German or Czech
• Semester 2 (University of South Bohemia):
  • Information Theory
  • Mathematics for Artificial Intelligence and Data Science
  • Computational Intelligence
  • Feature Engineering for Data Science
  • Advanced Data Storage and Analyses
  • Parallel Programming and Computing
  • German or Czech
• Semester 3:
  • Internship
  • Elective 3
  • Elective 4
• Semester 4:
  • Advanced Topics in AI
  • Master Seminar
  • Master Thesis

Electives are selected in consultation with the study coordinator, ensuring relevance to AI and data science.

Graduates of the M.Sc. in Artificial Intelligence and Data Science are well-prepared for various roles in the tech industry. Career opportunities include:

• Software Engineer - AI Specialist
• Machine Learning Engineer
• Data Scientist
• IT Manager
• Business Intelligence (BI) Developer
• Researcher

Alumni have successfully secured positions in leading tech firms, contributing to advancements in AI technologies and data analytics.