Applied mathematics deals with a wide range of disciplines in different areas, as science, technology, business and industry. Applied mathematics aims to solve practical problems using mathematical methods and models, such as materials analysis and processing, weather forecasting, financial services, network management and many more tasks. Applied mathematics can include mathematical disciplines such as mathematics of engineering, linear programming, continuous modeling, numerical analysis, statistics, information theory, game theory, etc.
This Master’s degree covers the whole chain of quantitative finance, from theoretical aspects to the application in a professional setting. This Master draws on the recognized excellence of our engineering school in quantitative finance, and makes great use of the collaborations with the Universities of Paris-Dauphine and Cergy-Pontoise.
Increasingly, developers make use of mathematical models, advanced simulations, and sophisticated (computer) computations. With this program you can for example develop new and innovative technologies
This programme is offered from 2016. Are you dedicated to working with applied mathematics and using it in practice? Is it your dream to help develop the newest technology used in for instance computers and robots? In that case, Mathematical Engineering is the programme for you.
This programme has the objective of preparing professionals able to deal with issues relating to complex systems with an engineering mentality, harmonising a solid scientific background with a command of advanced methodologies e technologies. The programme is characterised by continuous synergy between Applied Mathematics and Engineering disciplines.
Students are trained to apply computational methods, mathematical models and advanced datatools to problems and different tasks in society, including i.e. measurements, data analysis, modeling and simulation of systems and processes.
The MSc in Mathematics course has been designed for students who want to continue their mathematics studies by delving more deeply into particular aspects of pure and applied mathematics. The modules may well be of interest to mathematically inclined scientists and engineers as well as to mathematicians.
Traditionally number theory used the methods of algebra and analysis, to solve problems such as finding the number of integral of solutions of equations. In recent times geometric methods have been playing a more important role. Also, number theory has important applications in areas such as cryptography, theoretical computer science, and numerical mathematics. The ALGANT master course aims at introducing students into the latest developments of this fascinating subject.
The two-year MSc in Statistics programme targets students from universities in Denmark and abroad. The programme is flexible, allowing students to specialise while at the same time acquiring general competencies in statistics. It is also possible to become a PhD student within the area. The MSc in Statistics programme is open to students with a bachelor’s degree with at least 60 ECTS credits in statistics.
Science and Engineering is a Master's degree programme in the Faculty of Natural Sciences. The faculty consists of four departments: Chemistry and Bioengineering, Mathematics, Physics, and Optoeletronics Research Center (ORC). There is a high competence in theoretical, mathematical, and computational modelling. Currently there are two majors in the Master's programme of Science and Engineering fully given in English: Mathematics with Applications and Theoretical Computer Science, both by the Department of Mathematics. These offer the uniquely useful combination of strong mathematical modelling and tools of logical and algorithmic analysis.
The programme results from an international advanced master degree (IAMD) created during an ESF research programme and EC FP6 network project.
The Program aims at providing highly qualified professionals for scientifically and technologically demanding sectors of industry and services, by means of a solid background in pure and applied mathematics. The Program also provides the background needed by prospective PhD students, not only in mathematics, but also in other areas of science and engineering where mathematics plays an essential role.
The programme offers a solid academic foundation in actuarial science, statistics and finance, providing you the skills to become a successful actuary. During the fourth semester you can take a training post in an insurance company or write a thesis or a project.