Astronomy: Astronomy and Data Science, 2016-2017

Structure of the programme

This 2-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. Students wanting to follow this specialisation must be proficient in programming, in particular in the Python language.

Programme (120 EC)

Level EC
Electives
Astronomy Core Courses, at least 500 18
Instrumentation-related Astronomy Courses, at least 400-500 6
Astronomy Courses of any type 400-500 12
Mandatory Computer Science Courses
Databases and Data Mining 500 6
Advances in Data Mining 500 6
Neural Networks 500 6
Bayesian Networks 500 6
Research Projects
First Research Project 500 30
Master's Research Project 600 30

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, students need to consult the course list for academic year 2016-2017 (to be added below), and/or the course list for academic year 2017-2018 (available in Spring 2017).

Learn more

For more information on the specific requirements of this specialisation, see the appendix of the Course and Examination Regulations

Courses 2016-2017

Languages