The curriculum in the master's programme Applied Data Science consists of the following parts:
- a mandatory multidisciplinary course (14 EC), that gives an overview of the tools and skills to use and evaluate data science methods. The course is designed to provide a variety of techniques that can be used across different science and business applications.
- a mandatory colloquium series (2 EC)
- a selection of four elective courses (30 EC) from the list of pre-approved elective courses.
- a mandatory research project (14 EC). The thesis is the sum of the entire master’s education: demonstrate the ability of the student to formulate, conduct and present research. The topics span multiple application domains. It also creates opportunities to collaborate with external partners.
NOTE : Please be aware that in the Academic Year 2023-2024 the enrollment in the electives will be done through Pre-Enrollment form (details were sent by the programme coordinator to all the students enrolled in the Applied Data Science Master’s programme)
For most courses, you need to register online through OSIRIS. Read more about online registration via OSIRIS on the course registration page