Master's Programme, 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 three tracks: Mathematical Statistics and Financial Mathematics, Computational Mathematics and Optimisation and Systems Theory. Programme outline 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 and Financial Mathematics track students are provided with the ability to analyse and model situations where randomness and uncertainty are common and applicable in several areas. 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. Degree project The project may be carried out in an academic or industrial environment in Sweden or abroad. Students are welcome to discuss project ideas with the staff at the mathematics department, but are also encouraged to seek other contacts, in the academic world and in industry, to identify suitable projects. The result of this thesis work is provided as a written report and as a presentation at a seminar. Career prospects 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.