Master's programme in Applied and Computational Mathematics
Students from the master’s programme in Applied and Computational Mathematics will become skilled applied mathematicians, well-prepared for advanced industrial positions or continued graduate studies. The programme contains five tracks: Computational Mathematics, Financial Mathematics, Mathematical Statistics, Optimization and Systems Theory, and Statistical Learning and Data Analytics.
Applied and Computational Mathematics at KTH
The programme consists of foundation courses that are mandatory for all students, and once the individual specialisation track is chosen, there are relevant required courses within that area as well.
Within the Mathematical Statistics track students are provided with the ability to analyse and model situations where randomness and uncertainty are common and applicable in several areas.
Financial mathematics is applied mathematics used to analyse and solve problems related to financial markets. Portfolio theory and quantitative risk management present theory and methods that form the theoretical basis of market participants’ decision making.
Statistics is the science of learning from data. Classical statistics is trying to understand data by determining a plausible model for data, and testing whether the data fits the model. Modern learning is concerned with computational statistics and automated methods for extracting information from data.
The Computational Mathematics track contains courses providing knowledge of design, analysis and application of numerical methods for mathematical modeling, usable in computer simulations catering to both research and prototyping.
Finally, the Optimisation and Systems Theory track focuses on the ability to provide optimal solutions within certain restraints, applicable in areas such as economics, operation analysis, biology and robotics, where these dynamic systems are modeled and controlled with assets gained from the systems theory area.
Advanced mathematics and computer simulations are present within several important fields, their use having increased dramatically by the rapid development in computer software and hardware. Financial mathematics, medicine and biology are prevalent areas, but students will be able to bring the usage of mathematics and simulations into a multitude of applications.
Changes in the programme may occur.