Master of Science in Scientific Computing Heidelberg University

Please note that this programme has a strong emphasis on mathematics.

Applied mathematics and computer science form the basis of this research-oriented Master's programme in Scientific Computing. Students learn to develop mathematical algorithms, implement them into own code and solve application-driven problems from all areas of science and engineering as well as the humanities.

The curriculum is research-oriented by design: core modules lead to specific research areas connected to the research groups at the hosting university's institutions. During their studies, participants are guided to select more specific modules, enabling them to understand the latest research in the fields of mathematics and computer science in one of three core tracks:

• machine learning and data analytics
• numerical modelling, simulation and optimisation
• visual data analysis and computer graphics

The selection of an application area ensures the direct link between the theoretical part of the programme and the practical application of all methods and techniques. Graduates will be able to use and expand mathematical methods and models for any application field in science and industry.

While working on their Master's theses, participants develop all of the necessary skills for a self-reliant scientific career: problem analysis, entrepreneurship, project management and agile development. Internships at companies guarantee the direct contact to future employers.

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, computational 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 (16 CP)
Two seminars or traineeships (14 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 completes 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)

Interdisciplinary Centre for Scientific Computing (IWR)

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

Make sure to visit our website for detailed information on the programme's requirements: https://mastersc.iwr.uni-heidelberg.de/application-admission/how-to-apply

Scientific Computing is a programme with roots in mathematics and in computer science. To apply for this programme, you need the following prior education (minimum requirement!)

1. Solid mathematics education (min. 24 ECTS)
   1. Linear Algebra (min. 6 ECTS)
   2. Analysis (min. 6 ECTS)
   3. Advanced Mathematics – Numerics, Functional Analysis, Optimisation, Differential Equations or similar (min. 6 ECTS)
2. Solid practical computer science education (min. 24 ECTS)
   1. Practical Computer Science (min. 6 ECTS)
   2. Algorithms & Data Structures (min. 6 ECTS)
   3. Advanced Computer Science – Image Process, Computer Graphics, Parallel Computing, Machine Learning (min. 6 ECTS)
3. Application area (min. 16 ECTS)
   1. Basic knowledge in a field of real applications for scientific computing – physics, biology, chemistry, economics, etc. (min. 16 ECTS)

Approx. 150 EUR per semester

Approx. 750 EUR per month

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

The Hans-Peter Wild Talent scholarships are awarded once a year, at the start of each winter semester, to highly gifted up-and-coming students from Germany and abroad who want to study in a Bachelor's or Master's degree programme in the MINT field (mathematics, computer science, natural sciences, technology) at Heidelberg University.

www.uni-heidelberg.de/en/friends-supporters/hans-peter-wild-talent-scholarships

The graduate school HGS MathComp organises meetings with local and international employers.

Accommodation is available through student services or on the private market. Rent for a single room in a student residence is approx. 350 EUR. Private accommodation can be found online at: http://www.wg-gesucht.de.

Heidelberg University, founded in 1386, is Germany's oldest university and has one of the strongest research profiles in all of Europe. The current successes in the Excellence Initiative and in internationally recognised rankings prove that Heidelberg's excellent reputation and leading role in the scientific community is well-deserved. In terms of educating students and promoting promising early-career academics, Heidelberg University relies on its two strongest points: research-based teaching and superlative, well-structured training for doctoral candidates.
Heidelberg University is a comprehensive university, offering the full spectrum of disciplines in the humanities, law, and the social sciences alongside the natural and life sciences, including medicine. As a comprehensive university, Heidelberg aims to continue to strengthen the individual disciplines and to further interdisciplinary cooperation, as well as to carry research results over into society and industry.
With its aspiration of connecting traditional values with future-oriented scientific concepts in research and teaching, the university is building bridges to the future.
Heidelberg University's twelve faculties, including the two medical faculties in Heidelberg and Mannheim, boast a total enrolment of over 30,000 students. With over 160 study programmes, Heidelberg University offers a spectrum of subject combinations nearly unparalleled in Germany. This unique range creates an optimal setting for individualised and interdisciplinary studies.

Heidelberg's cosmopolitan and student-friendly atmosphere is one of the city's distinguishing characteristics. Heidelberg is a lively centre of the Rhine-Neckar metropolitan region and is marked by its high density of research-intensive industry and conglomeration of scientific research institutions. These institutions, working alongside the university, form an internationally competitive research network, providing a wide assortment of contact and cooperation possibilities for researchers and students at Heidelberg University.
Situated in one of Germany's most beautiful cities, the university offers a varied programme of events alongside work and studies. Both the city and the university offer sports and leisure activities, as well as numerous theatres, renowned film and music festivals and a large number of museums, creating a sophisticated and diverse cultural atmosphere. Popular local tourist destinations include the world-famous Heidelberg Castle, the historic streets and alleys in the old city and the Philosopher's Path, one of the most beautiful mountain hiking trails in Europe, as well as many fine restaurants.