
The Master of Science in Applied and Computational Mathematics at KTH Royal Institute of Technology is a two-year, full-time program that provides students with advanced skills in mathematical modeling, computational techniques, and problem-solving across various scientific and industrial fields. The program covers core areas such as numerical analysis, optimization, differential equations, and computational methods, with applications in engineering, finance, and data science. Students will gain both theoretical knowledge and hands-on experience in using mathematical tools to solve complex real-world problems.
Graduates of this program are well-prepared for careers in mathematical modeling, computational simulation, and data analysis. KTH Royal Institute of Technology’s strong research focus and collaborations with industries ensure that students have access to the latest advancements and real-world projects, preparing them to lead in fields where mathematical and computational expertise are critical.
Semester 1 – Foundations of Applied and Computational Mathematics
• Introduction to Applied Mathematics and Modeling
• Mathematical Methods for Engineers
• Linear Algebra and Calculus for Data Science
• Research Methods in Computational Mathematics
Semester 2 – Advanced Applied and Computational Mathematics
• Numerical Methods and Simulations
• Optimization and Computational Algorithms
• Mathematical Statistics and Data Analysis
• Elective Modules in Computational Mathematics
Semester 3 – Specialized Applied Mathematics
• Partial Differential Equations and Mathematical Modeling
• Computational Fluid Dynamics and Heat Transfer
• Mathematical Finance and Risk Management
• Fieldwork/Research Project in Applied Mathematics
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Applied and Computational Mathematics
• Final Presentation & Research Evaluation
Graduates of the Master of Science in Applied and Computational Mathematics program are highly sought after in data science, mathematical modeling, and computational engineering. They can pursue roles as mathematician, data analyst, computational scientist, and research mathematician. The program’s strong foundation in both applied and theoretical mathematics equips graduates to work in industries like finance, technology, and engineering, where problem-solving skills and data-driven decision-making are crucial.
The Master of Science in Applied and Computational Mathematics program provides a deep understanding of mathematical modeling, numerical analysis, and computational methods. Students develop the skills needed to apply mathematics to solve complex problems in various fields, including engineering, economics, and physics. The program prepares graduates for careers in academia, industry, and research, offering them the skills to tackle real-world challenges using advanced mathematical techniques.
For further information, please contact the admissions office at:
Phone: +46 8 790 60 00
Email: info@kth.se
Address: KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden