Research Methods in Data Science

About

What is Data Science, how do we approach problems in Data Science and how can Data Science contribute towards a sustainable future? In this course, we will try to review these questions. Initially, we will briefly question some common ideas we may have about what science is and how we do scientific research. What makes a research method suitable or not suitable? Focusing on specific cases, we will consider successes and disasters in the history of Data Science, with different protagonists, some working at research centers, others in the industry and the business sector.

We will teach the rules, methods and limits of Data Science as well as how to apply them to real world challenges. For example, approaching a sustainable future with renewable energy, improving the knowledge of our brain and mitigating the likelihood of financial crisis.

The course is designed for bachelor and master students working towards an academic research career, as well as for students aiming at the industry and business sector, where skills in data science are important.

Target group

Required preliminary courses
One half year of university studies (30 ECTS), in addition to the international summer schools general requirement. The requirement needs to be met by the application deadline.

Fee info