According the Guide to choosing a master's program 2016 the master Industrial and Applied Mathematics is the best applied mathematics master program of the Netherlands!

For five years TU/e was the best university of technology, in 2016 TU/e is the second best university of technology.

The figures for the survey of Master’s programs are 70 percent based on the ratings by students and 30 percent on those by the NVAO (Accreditation Organization for the Netherlands and Flanders).

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. ... [-]

Without mathematical tools, there would be no internet search engines, no weather forecast, no security in banking. Mathematical models and techniques play an important role in automatic pilot technologies, the design of quieter cars, the optimisation of wind farms, medical scanners, etc. At first sight, these applications have little in common, but they all process a large amount of data. Mathematics is becoming critical in many applications because of increasing model complexity and higher demands from customers and the environment.

The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high-quality research that has led to several spin-off companies.... [-]

Course Structure: Main Subjects Basics in the following subjects for all students: Algebra and number theory, Analysis, Geometry, Probability and statistics, Informatics and operational research.

Specific subjects for all students: Discrete mathematics, Operations research, Applied analysis, Stochastic processes, Theory of algorithms.

Specific subjects in the different subprograms: Mathematics of Engineering:Numerical analysis, solutions of differential equations Linear models and applications Numerical mathematics Stochastic processes Mathematics of Finance:Statistics Stochastic systems Financial science Mathematics of Computer Science:Data mining Mathematical theory of networks Theory of complexity Design, analyzing and implementation of algorithms and data structures Cryptography and data security Information theory Codes and symmetric structures... [-]

Our Industrial Mathematical Modelling MSc is designed to help you develop the mathematical modelling skills and techniques increasingly highly sought after within industry and commerce.

The Industrial Mathematical Modelling MSc enables you to explore mathematical models of real-world processes and their formulation, with a strong emphasis on how these techniques can be applied in industry.

A key feature of the Industrial Mathematical Modelling programme is working in small groups to solve real-life problems using mathematical models, such as estimating the loss of heat from a warehouse. Another unique aspect is our Advanced Reliability module, designed to show how statistics can be applied to industrial problems to support the development of strategies for the replacement of engineering parts before they break.... [-]

This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

A good Honours first degree (or overseas equivalent) in Mathematics or a related numerate subject such as Physics or Engineering, or an appropriate Joint Honours degree in industrial mathematics.... [-]

Techniques from a wide range of mathematical fields are necessary to cope with the challenges arising in numerous applications: Mathematical imaging improves diagnostic accuracy in life sciences and engineering and has become an indispensable tool for complex surgeries. Telecommunication and modern payment methods propose challenging problems for data encryption. The recent changes in economy require novel approaches to risk management in finance and insurance industry. Analytical and computer-aided techniques allow to analyse and simulate mathematical models of steadily increasing complexity in natural sciences, life science, economical sciences and engineering.

The master's programme Mathematics offers the opportunity to specialise in one of the following focus areas:... [-]

Our Master’s programme offers you a thorough, theoretical education while maintaining a clear perspective on concrete applications such as ensuring efficient logistics, better computer information systems and a deeper understanding of natural phenomena.

Our Master’s study is closely related to the research being carried out in the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP). You can choose from the following specialisations:

The programme is built up as follows:

Interdisciplinary degree programme exploring the nexuses between Biology, Biomathematics and Biophysics

Module Groups

Relevant Bachelor’s degree (or equivalent) with above-average success. The MSc programme is particularly aimed at graduates of interdisciplinary biophysical or biomathematical study courses and at graduates with a BSc in related disciplines such as Physics, Biology, or (Bio)Mathematics with a strong interest in interdisciplinary biological questions.... [-]

The basis of natural sciences is the modelling of phenomena and solving these models. The Master’s Programme in Theoretical and Computational Methods will give you a strong basis in the theoretical methods, modelling, and mathematical and numerical analysis within physics, mathematics, chemistry and/or computer science. The special feature of this programme is that you can combine the above disciplines into a comprehensive programme. It is well suited for the needs of basic research and for many fields of application.

The basis of natural sciences is the modelling of phenomena and solving these models. The Master’s programme in theoretical and computational methods will give you a strong basis in the theoretical methods, modelling, and mathematical and numerical analysis within physics, mathematics, chemistry and/or computer science. The special feature of this programme is that you can combine the above disciplines into a comprehensive programme. It is well suited for the needs of fundamental and applied research. This programme requires a strong commitment from you to develop your own skills and plan your degree. You can tailor your programme according to your existing knowledge and interests, in cooperation with the programme professors.... [-]

Goals and ContentsThe Master in Computational Science (MCS) program is an exciting new approach to understanding complex systems in a broad range of knowledge areas including the natural and physical sciences, the social sciences, the life sciences, management science and medical science. By integrating computer simulation, mathematical modeling, numerical analysis, and data analysis, recent developments in computational science are making possible what was unthinkable only a few years ago. Problems that are inaccessible to traditional experimental and empirical methods can now be addressed thanks to new techniques in algorithmic modeling and the increasing speed of modern supercomputers.The MCS program combines courses in computer science, mathematics, statistics, and data analysis to build application-oriented competencies in simulation science and data science. Students enrolled in the MCS program acquire valuable and much sought-after analytical skills through direct involvement in modeling projects addressing a wide range of real-world problems spanning many interdisciplinary applications.The program introduces students to the university's blend of innovative scientific research and real-world applications, thus providing an excellent foundation for a career in industry and science. Students may emphasize numerical software, mathematical modeling, deterministic and probabilistic theory, computer simulation, or data science. Our graduates are ready to pursue professional careers in research, engineering, scientific computing, data science, data and business analytics, computational medicine, and information systems.For the master's thesis, students can participate in ongoing research projects at the ICS, the IDIDS, or the Faculty of Informatics. Topics include Numerical Analysis, High-Performance Computing, Geo-Science, Computational Engineering, Optimization, Computational (Bio-) Mechanics and Fluid-Mechanics,... [-]

Curious about this programme? Join our Webinar on 13 March 2018! For more information visit uu.nl/masters/webinar-week

In our Master’s programme in Mathematical Sciences, you’ll engage in the core activities of mathematics while discovering new patterns and relationships and learning to construct models with predictive power. You’ll also study the science of structures within the different branches of the physical sciences. Our faculty of Mathematical Sciences offers you a versatile, internationalised learning environment at the intersection of fundamental and applied research. You can tailor your programme by selecting one of the following eight tracks:... [-]

In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine, and psychology. Mathematical results permeate nearly all facets of life and are a necessary prerequisite for the vast majority of modern technologies – and as our IT systems become increasingly powerful, we are able to mathematically handle enormous amounts of data and solve ever more complex problems.

Special emphasis is placed on developing students' ability to formalize given problems in a way that facilitates algorithmic processing as well as enabling them to choose or develop, and subsequently apply, suitable algorithms to solve problems in an appropriate manner. The degree programme is theoretical in its orientation, with strongly application-oriented components. Studying this programme, you can gain advanced knowledge in the mathematical areas of Cryptography, Computer Algebra, Algorithmic Algebra and Geometry, Image and Signals Processing, Statistics and Stochastic Simulation, Dynamical Systems and Control Theory as well as expert knowledge in Computer Science fields such as Data Management, Machine Learning, and Data Mining.... [-]

MSc Econometrics and Operations Research: Mathematical Economics (full-time)

Mathematical methods can be used to solve a whole range of business problems, from a company’s finances to the organisation of its people. In order to do this strategically, the Mathematical Economics track looks at theories and models that can help you make the right decisions.

What will you learn?

Mathematical Economics is certainly a theoretical track. But it’s also about solving real business problems, which means that you’ll learn about more than just the academic theories. You’ll also learn about business issues such as resources (both human and material), finance and organisational structure (both internal and external).... [-]

The ever-increasing importance in every engineering branch of modeling tools,i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. The expertise of modeling engineers cannot be restricted to classical devices, tools, and instrumentation, but requires a deeper and systematic knowledge of the basic concepts of mathematical and numerical modeling, with a wider vision on the intimate inter-relationship between data, physical processes, and computational methods.

The Master degree in "Mathematical Engineering", offered by the University of Padova, captures the evolution of professional engineers proposing an advanced study program that combines both solid fundamental knowledge of the physical processes and deep theoretical and technological competences. This degree exposes the student to a multidisciplinary education lying between engineering and applied mathematics, providing the attendants with the ability to mold their expertise towards several specific disciplines, though still receiving a solid general-purpose engineering and modeling culture.... [-]

The objective of the master’s programme is to provide the students with such knowledge, problem-solving skills, and insight in mathematics that they are able to work professionally in different areas of mathematics (including teaching at primary or secondary school) or to use mathematical tools in the sectors of industry, information technology or finance. The programme also provides a good basis for Ph.D. studies in mathematics. The plan of studies includes the following topics: algebraic topology, complex analysis, differential geometry, functional analysis, probability theory, stochastic processes, partial differential equations, dynamical systems, history of mathematics, optional courses and seminars.... [-]