New master in Heidelberg: Mathematics for Machine Learning starts!

New master in Heidelberg: Mathematics for Machine Learning starts!

Heidelberg, Deutschland - The University of Heidelberg is expanding its range of courses with a new master's degree that is geared towards the needs of modern research. The English -language course "Mathematics of Machine Learning and Data Science" will start in the winter semester 2025/2026 and is aimed at graduates of matematic bachelor's degree programs. This is reported by the University of Heidelberg .

The new course is a consecutive program and comprises four semesters. It is organized at the faculty of mathematics and computer science, cooperates closely with the interdisciplinary center for scientific arithmetic and is led by the Institute of Mathematics. The application deadline for interested parties ends on May 15, 2025.

content and objective of the course

The master aims to convey deep mathematical-methodical foundations for machine learning and scientific data analysis. The students acquire central skills in analytical and structural thinking as well as in scientific problem solving and interdisciplinary cooperation. The conveyed content includes topology, differential geometry, dynamic systems, statistics, optimization, numerics and functional analysis.

A special feature of the program is the interdisciplinary orientation, which stands out clearly from the regular master's degree in mathematics. In the first semester there is a lecture series that offers an overview of the mathematical core areas. In addition, a data science Lab enables students to test concepts from theory in practical applications.

international perspectives and deepening options

The new program also offers the opportunity to complete a semester abroad to promote international teamwork. In the course of the course, the students can choose between various peptions that prepare for the master's thesis. These structures are designed to qualify the graduates for promotional points at home and abroad as well as for research-oriented positions in industry. Here is a focus on method development for mechanical learning and scientific data analysis.

In addition, there is a master's degree in data and computer science, which focuses on the deepening of basic computer science concepts at This program conveys scientific and practical skills for analysis, modeling and simulation in complex systems and large amounts of data. The focus is also on data science techniques and their application in different areas.

for students who are interested in another course, University of Würzburg also a master in mathematical data Science. This course includes compulsory and elective modules in the areas of mathematical data science and machine learning as well as master thesis as a final examination.

The new programs at Heidelberg University and the partner universities represent a valuable expansion of the educational offer that takes into account the current trends and requirements in data science and computer science. Students who are interested in one of the innovative courses should carefully examine the application deadlines and content in order to make the best possible decisions for their future.