Master's Programme in Computational Sciences, 120 points
Computational sciences is a multidisciplinary field which involves mathematical modeling, numerical solution techniques and the use of computers in solving and analyzing complex problems arising in natural sciences, engineering, economics etc. Computer simulations have become a key factor in the development of these areas and the International Master of Science programme "Computational sciences" at Linköping University is designed to educate a new generation of highly qualified students for this kind of profession.
The primary objective of this Master's Programme in Computational Sciences is to provide training in basic skills such as numerical methods, parallel computing, graphics and visualization, together with a chosen specialization in one of the following scientific disciplines: Computational Biosciences, Computational Mechanics, Computational Physics, Scientific Computing and Visualization. The programme cooperates efforts of strong research groups, high-performance computing resources at National Supercomputer Center (NSC) and strong links to institutional and industrial partners.
The programme is aimed for students with the candidate diploma who would like to extend their knowledge in computing and mathematical modeling in different fields of science and technology. Graduates can expect employment in industry, business, academic institutions, and at major research and development laboratories.
The Programme structure includes two years of study. The first autumn semester gives an introduction to the field of computational sciences and provides the mathematical background of scientific computing. The following spring semester includes specific courses related to numerical methods and to the basis of programming techniques. This semester also includes courses focused on the topics of the four elective profiles:
- Computational Biosciences
- Computational Mechanics
- Computational Physics
- Scientific Computing and Visualization
The courses in the autumn semester of the second year are closely connected with research at the Departments of Mechanical Engineering, Physics, Chemistry and Biology, Mathematics, Science and Technology. Finally, to finish the master’s degree, a thesis lasting during the full spring semester of the second year of study must be completed. Academic recognition is given for each course in terms of points. One semester of full-time study corresponds to 30 ECTS credits.
Outline of the Programme
The Programme contains four types of courses: mandatory course, core courses, profile courses and elective courses. The introductory course is “Applied Scientific Computing” with 8 ECTS credits. Core courses correspond to 30 ECTS credits. The profile courses are focused on the subjects of the four profiles: Computational Biosciences, Computational Mechanics, Computational Physics and Scientific Computing and Visualization. Some graduate courses are also open for undergraduate students. Please, see the “Studiehandbok” for course details and “Courses in English” and “Forskkurser” for information about courses that can be chosen. The total number of ECTS credits, including the final thesis, has to reach 120.
This profile includes bioinformatics, computational biology, system biology and a few related subjects. This research field is one of LiU priority field in life sciences technologies . It will have the increasing importance in relation with post-genomics phase of functional characterization of human genes and proteins, including individual variations.
This profile concerns modeling and simulation within solid and fluid mechanics. In recent years computational mechanics has been extended to biomechanics and mechanobiology. Continuum mechanics has become an important subject in technical medical applications. The finite element method is the central method in computational mechanics and has many applications in electromagnetism, acoustics, chemical engineering etc.
Computational physics in this programme focuses on the properties of materials. The field is interdisciplinary with strong connection to chemistry, biology as well as electronics, material sciences etc. In this profile students will learn basis for numerical modeling in physics and use it for applications in quantum physics, mechanics, electromagnetism and statistical physics.
Scientific Computing and Visualization
Computational problems in the different areas of computational sciences are so large and hard that they require the use of advanced mathematical and numerical methods. Graphical visualization is widely used to analyze the results of computation. This profile focuses on methods of visualization and algorithms.
The thesis should include high quality scientific research within the research area of the profile chosen by the students. This work could be performed either at Linköping university or at the home university.
Applicants are expected to have a major in mathematics, physics, mechanics, or biology, including basic courses equivalent of at least 30 ECTS points in mathematics (calculus, linear algebra, vector calculus, complex functions) and at least one course each in numerical methods, statistics, and a common numerical computer programming language. Experience in the use of computers is also expected.
Master of Science in Applied Mathematics (translation of the Swedish magisterexamen). See also general rules and regulations for master programmes at LiTH.
No admission 2010.
Applicants are encouraged to seek financial support in their country of origin. No tuition fees have to be paid but students have to cover living expenses and travel costs on their own.
The European Mobility Scheme for Physics Students includes both Tempus and Erasmus/Socrates exchange programme. Information about the participating countries can be found on EMSPS homepage. Students eligible to apply for support should contact the local coordinator at their home university to receive proper application forms and information about the conditions and application procedure.
Responsible for this page: Lise-Lotte Lönndahl Ragnar
Last updated: 11/17/09