The Scientific Computing Master of Science program is a highly application-oriented and research-focused program designed to address current scientific and technical challenges. Students will learn to develop comprehensive solutions for tasks in engineering and natural sciences, covering mathematical modeling, numerical analysis, and software implementation. The curriculum provides extensive knowledge in scientific computing, applied mathematics, and allows for specialization in areas like numerical mathematics, financial mathematics, or stochastic models. Additionally, students can choose to deepen their understanding in related non-mathematical disciplines such as physics, chemistry, engineering, biology, or medicine.
Graduates are well-prepared for diverse roles in industry, business, administration, research institutes, and universities. The program equips students with skills applicable across various sectors.
Detailed admission rules are available in the Study and Examination Regulations.
Technische Universität Berlin does not charge tuition fees for its Master's programs. Students are responsible for their own living expenses.
Information not provided.
Technische Universität Berlin does not charge tuition fees for its Master's programs. Students are responsible for their own living expenses.
You need a Bachelor's degree in Mathematics, Business Mathematics, Technomathematics, or a related field with sufficient mathematical orientation. Proof of English language proficiency at the required level is also necessary.
The program is structured over four semesters, totaling 120 credit points. A recommended course schedule is provided, but it is not mandatory.
The application period for English-language Master's programs with restricted admission is from April 1st to May 15th for a Winter semester start. Late submissions are not considered.
Graduates are well-prepared for diverse roles in industry, business, administration, research institutes, and universities, including fields like Mechanical Engineering, Electrical Engineering, and Business & Economics.
Various scholarships and aid options are available, including the Federal Training Assistance Act (BAföG), the Emergency Fund, the DAAD Prize, Scholarships for Promoting Equal Opportunities (STIBET I), and the Deutschlandstipendium.