This education guide contains study related information about the Master’s program Industrial and Applied Mathematics within the TU/e Graduate School.
The study program Industrial and Applied Mathematics gives flexibility to students to develop themselves not only as a researcher but also as an industrial engineer or a professional in education. The program provides large flexibility and the teaching in the master program is strongly related to the areas of research the department focuses on via the following profiles:
- Applied analysis
- Mathematical image analysis
- Scientific computing
- Probability theory
- Stochastic operations research
- Coding theory and cryptography
- Combinatorial optimization
- Discrete algebra and geometry
- Data science
The detailed objectives of the program are as follows.
a) To have a broad knowledge of applied mathematics, typically with a high level of abstraction and rigor in reasoning.
b) To know the aspects of mathematics that according to international standards belong to the professional knowledge of an academically-educated mathematician at the level of a Master of Science in one of the following specializations Computational Science and Engineering; Discrete Mathematics and Applications; Statistics, Probability and Operations Research; or Data Science.
a) To be skilled in integrating, modifying and developing the constructive methods of the chosen specialization.
b) To be able to adequately treat interrelated problems of a reasonable size and mathematical complexity.
a) To be able to perform scientific research independently and to acquire relevant research developments.
b) To be able to design and implement methods and techniques in the chosen specialization for practical purposes in an industrial or social context.
a) To have a critical and creative attitude when working on problems and when learning or developing recent mathematical theories and methods.
b) To have insight in the social responsibilities of a mathematician with respect to his/her contribution to the solution of non-mathematical problems.
a) To be able to adequately transfer mathematical results, both orally and in writing, in an international context.
b) To be able to lucidly communicate mathematical results to colleagues and non-colleagues.