Learning about ML

Heidelberg University is a stimulating and diverse environment allowing you to take select courses in machine learning, or even study for a full degree.

Study Machine Learning

Heidelberg University offers a number of complementary MSc programs where you can both study foundations and learn about the latest trends in machine learning. Our degrees are tailored to equip you with the fundamental knowledge that is essential to accede to leading positions in academia, and challenging jobs in industry.

Starting in Fall 2025

MSc Mathematics of Machine Learning and Data Science

Selected Colloquia

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Selected Lectures

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Computational Statistics and Data Analysis	Luca Amendola
Time Series Models: From Statistics to AI	Daniel Durstewitz
Machine Learning for the Biomolecular World	Frauke Gräter, Rebecca Wade
Inverse Probleme	Jürgen Hesser, Zheng Lei
Machine Learning Essentials	Georgia Koppe
AI in Medicine	Fruzsina Molnár-Gábor
Computer Vision	Carsten Rother
Nonlinear Optimization	Christoph Schnörr
Geometric Deep Learning	Jan Stühmer

Selected Seminars

Table

Journal Club Machine Learning in Astrophysics	Tobias Buck
Scientific Machine Learning for Physics	Tobias Buck
Journal Club Advanced Machine Learning	Peter Lippmann
Machine Learning in Particle Physics	Tilman Plehn
Computer Vision	Bogdan Savchynskyy