In an era defined by technology, Information Technology (IT) science emerges as the driving force behind our digital age. But what exactly is IT science? At its core, IT science is the systematic study and application of computer systems, software, and networks to solve complex problems, streamline processes, and enable seamless communication.
In this course, students will learn:
Business Analytics: The program aims to familiarize students with predictive and prescriptive analytics methods for business analysis and decision support. Students can independently solve, interpret, and provide recommendations for business decision problems using extensive datasets. The field of Business Analytics requires strong analytical thinking.
Computational Science: Through an interdisciplinary approach that combines computer science, mathematics, and the natural sciences (astronomy, biology, chemistry, and physics), the program emphasizes the computer-related aspects of research and result presentation in each respective field of the natural sciences.
Data Science: Data Science aims to provide a practical and well-founded education in the field of modern Data Science. It emphasizes the importance of extracting valuable insights from large datasets in various sectors, including the economy, natural sciences, and social sciences. The program focuses on developing efficient algorithms, ensuring interpretability and reliability of results, and addressing ethical and legal considerations.
Basic Technology: The course provides a comprehensive education that combines theory, practical skills, and specialized knowledge in computer science. Students can choose from eight different areas of focus, including Algorithms, Data Analysis, Computer Graphics, and more.
Media Technology: The course covers various digital media types and their applications, focusing on adapting media for user context, metadata analysis, Virtual Reality, Pervasive Computing, and human-machine communication. Specializations include Computer Graphics, Multimedia Information Systems, digital media production, and game technologies.
Industrial Data Science: The course covers key programming languages such as Python or R and delves into data cleaning, exploratory analysis, and basic machine learning concepts. Students also explore ethical considerations in data science and develop a foundational understanding of how data-driven insights are applied across various fields.