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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 three tracks: mathematical statistics and financial mathematics, computational mathematics, and optimization and systems theory.

Complete curriculum

Printable programme syllabus and course descriptions:
2013/2014

Programme in short

Admission requirements:A Bachelor’s degree (or equivalent) of at least 180 ECTS. Specific requirements as specified by each Master’s programme.
Degree awarded:
Master of Science (120 credits). The degree gives access to third cycle qualifications (doctorate).
Duration:
120 credits/120 ECTS credits (two years). The system is compatible with ECTS credits. It is a full-time study programme.
Location:
KTH Campus, Stockholm
Programme start:
Late August
Application deadline:
January 15
Language of instruction:
English
The grading scale is:
A-Excellent, B-Very Good, C-Good, D-Satisfactory, E-Sufficient. No overall grade is given for a degree and students are not ranked.
Contact:
Filip Lindskog
(Programme Director)

Career prospects

Advanced mathematics and computer simulations are present within several applications, their use increased by the rapid development in computer software and hardware. Financial mathematics, medicine and biology are currently prevalent areas, but students will be able to bring the usage of mathematics and simulations into a multitude of applications.

Programme outline

The program courses consist of 30 credits worth of courses that are mandatory for all students of the program, and for each track approximately 30 university credits worth of courses that are mandatory for that track.

Within the mathematical statistics and financial mathematics track students are provided with the ability to analyze and model situations where randomness and uncertainty are common, 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 optimization and systems theory track is all about 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.