Astronomy and Data Science
Structure of the programme
This two-year programme focuses on the big-data aspects of both astronomy as a data-rich science and computer science. It prepares as much for a career in astronomy as in computer science, for careers in research as well as outside research, in academia or elsewhere in society. It consists of advanced Astronomy courses, two research projects in Astronomy, and selected courses from the Computer Science master's programme. This specialisation is offered by Leiden Observatory in collaboration with the Leiden Institute of Advanced Computer Sciences (LIACS). Students who want to follow this specialisation must be proficient in programming, in particular in the Python language.
Programme (120 EC)
|Mandatory Astronomy Course
|Astronomy Core Courses, at least
|Instrumentation-related Astronomy Courses , at least
|Astronomy Courses of any type *
|At least 4 of the following Astronomy and Computer Science Courses:
|Simulation and Modeling in Astrophysics (AMUSE)
|Numerical Recipes in Astrophysics
|Advances in Data Mining (Computer Science)
|Introduction to Deep Learning (Computer Science)
|Advances in Deep Learning (Computer Science)
|Reinforcement Learning (Computer Science)
|First Research Project
|Master's Research Project
* One of the two inter-faculty electives listed below may also be chosen as a general, specialist or instrumentation-related Astronomy course.
Master Study Plan
At the start of the master’s programme, students are required to draw up the Master Study Plan: a complete list of planned courses and projects for two subsequent academic years in consultation with the Study Advisor Astronomy. To select courses, consult the course list for academic year 2020-2021 (see below) and the preliminary course list for academic year 2021-2022.
For more information on the specific requirements of this specialisation, see the appendix of the Course and Examination Regulations.