Scientific Computing

Scientific Computing at Heidelberg University offers an interdisciplinary and research-oriented Master’s program designed to equip students with advanced computational skills essential for solving complex scientific and engineering problems. This program focuses on the development, analysis, and application of numerical methods, algorithms, and software tools used in various scientific disciplines, including physics, biology, engineering, and computer science. The curriculum combines rigorous academic coursework with practical training, emphasizing both theoretical foundations and real-world problem-solving capabilities. Students will gain expertise in high-performance computing, data analysis, mathematical modeling, and simulation techniques, enabling them to contribute to innovative research and industry projects. The program also encourages collaborative work and interdisciplinary approaches, preparing graduates for careers in academia, research institutes, and technology companies. Heidelberg’s state-of-the-art computing facilities and close ties with research institutions provide a stimulating environment for learning and discovery. Graduates will be equipped with the necessary skills to develop efficient algorithms, analyze large datasets, and implement computational methods used in cutting-edge scientific research. The Master’s in Scientific Computing emphasizes critical thinking, technical proficiency, and the ability to adapt computational approaches to diverse scientific challenges. This program is ideal for students with a strong background in mathematics, computer science, physics, or related fields who aim to pursue advanced careers in research, development, and innovation in computational science.

Educational organisation

The first and second years of the Master's programme are clearly divided.

The first year provides in-depth knowledge in advanced methods of applied mathematics as well as computer science. These two modules lay the basis for a solid understanding both of the methodology in mathematics needed in order to be successful in scientific computing and of the tools and techniques required to implement these methods efficiently in modern software systems.
The application component can be selected from a wide range of fields including physics, astronomy, biosciences, chemistry, or economics. Two seminars or traineeships complement the lecture blocks to ensure that practical application of the course content is a major part of the educational concept.
First year schedule:
Lecture series Mathematics I and II (16 CP)
Lecture series Computer Sciences I and II (16 CP)
Application fields I and II (18 CP)
Two seminars or traineeships (12 CP)

The second year of the Master's programme is dedicated to research in the field of the Master's thesis. Students choose from a set of lecture series, including, e.g., image processing, numerical solution of PDE, or analytical modelling, to extend their knowledge in one methodological area. Training in interdisciplinary skills is a key qualification for future researchers in scientific computing. A seminar on topics of the Master's thesis and research and documentation of the thesis project complete the second year curriculum.
Second year schedule:
Major lecture series I and II (16 CP)
Interdisciplinary skills (6 CP)
Master's seminar (6 CP)
Master's thesis (30 CP)

Study abroad unit(s)

The participating institutions have strong ties with several research institutes in Europe and Asia. Practical training at these institutions is possible during the summer as part of the Master's course. The programme also encourages and facilitates one-semester exchanges with these institutions.

Internships

An internship in industry should be completed after the first year of study. Programme advisers will assist students in finding an appropriate internship.

Forms of assessment

Lectures: weekly exercises plus final exam
Seminars: presentation plus written report
Master's thesis

Course objectives

Graduates will be able to use and enhance scientific, expert knowledge in Mathematics and Computer Sciences for application in the fields of science and industry.
Graduates obtain qualifications required for entry into the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) which are necessary in order to continue towards a PhD (see above).

Language requirements

International applicants (holding a BA) must prove their English skills (TOEFL iBT with score 90 or better out of 120) or CEFR (level B2).

Academic requirements

• Bachelor's degree in mathematics, computer sciences, scientific computing, or equivalent

(study time of at least three years in a relevant field)

• letter of motivation (English)
• proof of English language skills (TOEFL iBT with score 90 or better out of 120) or CEFR (level B2)

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Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Enrolment fees

Enrolment fees at Heidelberg University are approx. 150 EUR per semester. The amount is due at the beginning of each semester upon re-registration, i.e., must be paid at the time of enrolment. The fees include administrative costs as well as the fees for the constituted student body, student services, and a regional transit pass (Semesterticket).

Costs of living

On average, the cost of living and studying in Heidelberg amounts to approx. 700-800 EUR per month.

Job opportunities

The faculty offers student jobs such as undergraduate teaching on a semester-by-semester basis.

Funding opportunities within the university

After the first year, the top 25% of the students are offered a membership in the graduate school HGS MathComp. This is combined with a second year scholarship (800 EUR per month). This membership includes an offer for a follow-up PhD project in the graduate school (research-oriented Master's track).

Services and support for international students

The International Relations Office of Heidelberg University provides assistance to prospective international students, students from abroad already studying at the university, international doctoral candidates, and visiting faculty as well as all students in Heidelberg who wish to spend some time abroad.
The first point of contact is the "Serviceportal" (room # 33), where the staff will be glad to assist foreign students. This is also where students can pick up the semester events programme, including excursions and academic and cultural events. In the student advisory office of the International Relations Office, assistance and support with any questions or problems regarding the stay in Heidelberg can be obtained.

Accommodation

Accommodation is available through student services or on the private market. Rent for a single room in a student residence is approx. 220 EUR. Private accommodation can be found on the internet at: http://www.wg-gesucht.de.