TU/e, MSc, Industrial and Applied Mathematics

This degree program focuses on mathematical models, advanced simulations and computer calculations. These means and methods are increasingly finding use in new technological developments and this Master's program therefore offers an excellent start to your contribution to society's technological needs, both now and in the future. Content of the Master's degree program The Master's program in Industrial and Applied Mathematics covers 4 specializations: Computational Science and Engineering (focusing on the simulation and analysis of complex physical and technical processes). Discrete Mathematics and Applications (relating to the mathematics that lies behind our digital world and the optimization of discrete processes). Statistics, Probability, and Operations Research (managerial scheduling and organizational problems, industrial statistics and the analysis of phenomena in which randomness plays a role). Data Science in Engineering (the core courses span a wide range of computer science and statistics courses and include base competences such as: Process Mining, Data Mining, Algorithms, Visualization, Real-life data challenges, Statistics for Big Data, Statistical Learning Theory, and Probability and Stochastic Processes)