This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining, machine learning and statistical analysis of large data sets. Additionally, students will learn how to investigate quantum data and quantum information, a topic that is expected to be very important in the near future.
What does this master’s programme entail?
The specialisation consists of 120 European Credit Transfer System (EC) points and includes mandatory courses and electives (60 EC) and two research projects (60 EC).
Programme overview
The two-year Master of Science programme is divided approximately 50/50 between experimental research and theoretical courses. The curriculum of the Physics and Classical/Quantum Information specialisations consists of:
At the start of the Master’s programme, you are required to create a study plan: this plan includes a complete list of planned courses and projects for two subsequent academic years in consultation with the Study Advisor Physics.
Career
After completing the Physics master's programme you will have a broad array of career prospects. All students with a Master of Science in Physics are admissible to a PhD programme. If you have the desire to apply your knowledge of Physics outside the university, there are ample job possibilities in high-tech industry, software and consultancy companies worldwide, or a career as a teacher, science communicator or science policy maker.
Expected April 2024
More details
Start date
Expected September 2023
Leiden University
Rapenburg 70,
LEIDEN,
Zuid-Holland,
2311, Netherlands
*There may be different IELTS requirements depending on your chosen course.