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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Mining Massive Datasets	Artur Andrzejak
Dynamical Systems Theory in Machine Learning	Daniel Durstewitz
Computational Molecular Biophysics	Frauke Gräter, Rebecca Wade
Machine Learning and Physics	Fred Hamprecht
Medical Image Analysis	Jürgen Hesser
Generative Neural Networks for the Sciences	Ullrich Köthe
Computer Vision	Carsten Rother
Applied combinatorial optimization	Bogdan Savchynskyy
Introduction to GPU Accelerated Computing	Rainer Spurzem

Selected Seminars

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AI and its training data - quality, biases and avoiding violations of data and copyright	Fruzsina Molnár-Gábor
Journal Club Machine Learning in Astrophysics	Tobias Buck, Anna Lena Schaible
Journal Club Advanced Machine Learning	Peter Lippmann
Machine Learning @ LHC	Tilman Plehn
Jounal Club Physics and ML	Tilman Plehn
Computer Vision	Bogdan Savchynskyy