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.
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 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.
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.
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.
Students from the masters programme in applied and computational mathematics will become skilled applied mathematicians, well prepared for advanced industrial positions or continued graduate studies. The programme contains three tracks: mathematical statistics and financial mathematics, computational mathematics, and optimization and systems theory.
The MSc program takes two years of full-time study, covering a wide spectrum of fields in Computer Science and Information Technology. It is suitable for students with diverse academic backgrounds, such as computer science, engineering, statistics, mathematics and related disciplines.
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.
There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex datasets to improve analysis, prediction and decision making. The programme focuses on modern developments in the intersection of statistics, artificial intelligence and database management, providing the participants with unique competence in the labour market.
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 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.
The Masters programme in Mathematics is a joint programme between KTH and Stockholm University (SU) and leads to a joint masters degree. The specializations are directed towards areas corresponding to research groups at KTH and SU, taking full advantage of the broad spectrum of competence available.
MSc Financial Engineering is a multi-disciplinary field that involves the application of the computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theory to the analysis and management of financial opportunities. Students will receive the most advanced computational and programming techniques which help them advance quickly in the field.