Goal: Learning objective of the course Mathematical Methods for Data Science is to develop students’ problem-solving skills, foster critical thinking, and advance their competence in data-driven decision-making. A core goal is to strengthen students’ technical proficiency in programming, statistical analysis, and machine learning. Through the knowledge and skills acquired in the course, students will be able to effectively meet the practical demands of industry. The course material further includes the development of analytical and quantitative reasoning, while cultivating a mindset of lifelong learning. The overarching aim of the course is to equip students with the essential mathematical foundations of data science, enabling them to rigorously communicate their results and to explain the significance of their technical knowledge in a way that is understandable both to domain experts and to non-specialists. A key objective is to empower students to make their work interpretable and accessible — not only in technical terms, but also for a broader audience, highlighting the real-world relevance and impact of data science.
Course Requirement MSc in Data Science: Mathematical Methods for Data Science