Specialization Mathematics of Artificial Intelligence and Machine Learning
Apply your mathematics knowledge to shape the future of artificial intelligence.
Mathematics is the foundation that allows a machine to recognize a face, predict what happens next, or make a smart decision. In this specialization, you discover the mathematics behind intelligent technology and use analysis, geometry, stochastics, and combinatorics to solve real challenges.
In Mathematics of AI and Machine Learning specialization of the master program Industrial and Applied Mathematics, you develop the skills and understanding needed to analyze, design, and optimize high-performance AI and ML systems and turn complex algorithms into reliable real-world solutions.
Curriculum
After a semester of core courses, you can start choosing your electives. You can decide to follow the Mathematics of AI and Machine Learning specialization for a coherent package of electives around this theme.
| Specialization Electives | Course code | Quartile |
| Differential Geometry for Image Processing | 2MMA70 | Q1 |
| Uncertainty Representations and Reasoning | 2AMU30 | Q1 |
| Quantum Optimization and Machine Learning | 5LSO0 | Q1 |
| Advanced Algorithms | 2IMA10 | Q1 |
| Mathematics of Neural Networks | 2MMA80 | Q2 |
| Variational Partial Differential Equations | 2MMA25 | Q3 |
| Numerical Analysis of Variational PDEs | 2MMN25 | Q3 |
| Probability and Stochastics 2 | 2MMS30 | Q3 |
| Statistical Learning Theory | 2MMS80 | Q3 |
| Stochastic Decision Theory | 2MMS50 | Q4 |
| Numerical Analysis of Transport PDEs | 2MMN35 | Q4 |
| Generative AI Models | 2AMU20 | Q4 |
Table source: IAM Education Guide Curriculum Start year 2026/2027