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Computational Science & Engineering (CS&E) is a field of knowledge which aims at the development of methods that rely on computers and mathematics to model, simulate, and visualize various kinds of systems. CS&E combines several different disciplines such as computer science including numerical analysis, applied mathematics, physics, and technology. The applications are literally found everywhere. They typically deal with complicated and/or complex systems, and often require the management and analysis of large data sets. Applications include image analysis, optimization of industrial processes, web-based search for information, risk analysis, the mechanism behind aurora borealis, pricing of financial derivates, computer games, and special effects in movies.
Instruction
The Master's Programme in CS&E begins with four compulsory courses that provide both the basic knowledge and a solid foundation for the more specialized courses that follow. The programme closes with a diploma work that gives opportunities both to make use of the attained knowledge and to learn the more specific tricks of the trade for a certain application.
Career Opportunities
CS&E is widely used both in scientific research and advanced industrial development. The efficiency in this kind of work is however greatly boosted by a solid education. The Master's Programme in CS&E gives both a basic knowledge of the field and the specialization needed to successfully complete projects within research and development.
The degree obtained is Master in Computational Science and Engineering.
The Masters Programme in CSE comprises 120 university credits, of which a minimum of 75 university credits are within the main field of study. The first term of studies consists of a number of foundation courses. During the spring and the coming autumn, the students will then study a combination of profile courses and optional/free courses. The programme also offers the opportunity for deeper studies within a number of areas. The programme ends with an independent project of at least 30 university credits. The courses during the education are mainly studied on a part-time basis (50%). The teaching is conducted in the form of lectures, seminars, the group exercises and laboratory experiments. The laboratory experiments are normally compulsory. Both the course literature and the teaching is in English.
Basic courses
For the basic courses, the student has guaranteed admission. These courses are studied by all students on the programme because they are required in order to comply with several of the local goals described in section 2. As well as the courses providing students with a broad understanding of the subject, they also provide basic knowledge to prepare them for the various advanced courses.
Study period 1:
* Modelling and Simulation, 7.5 university credits (5FY095)
* Matrix Computations and Applications, 7.5 university credits (5DA002)
Study period 2:
* Partial Differential Equations, 7.5 university credits (5MA038)
* Non-linear Optimization, 7.5 university credits (5DA001)
Elective courses
On an elective course, the student has a guaranteed place from a selection of courses which are the equivalent of full-time studies, but there is no guarantee of first choice.
Most elective courses in the main field of study are associated with different profiles. In the Masters programme in computational Science and Engineering , there is thepossibility of further study in a number of profiles/specialisations. It is also possible todesign an individual specialisation. The student however chooses courses on each occasion, not specialisations.
Optional courses
Alongside the elective courses, there are also optional courses. Optional courses are courses where students on the programme do not have any specific priority compared to other categories of students. Optional courses can be studied within the courses offered by different institutions at the Faculty of Science and Technology, another faculty at the University, or another seat of learning in the country or abroad. The courses, whose content entirely or partly overlap, may not be fully included in the degree.
In the Masters Programme incomputational Science and Engineering , you can choose 45 university credits of optional courses. A maximum of 30 of these university credits can be comprised of courses at basic level.
Information as to which causes are available can be found in the information sheets which are published annually, in particular in the universitys catalogue of courses and on the universitys website. Optional courses are applied for in open competition. Optional courses from other seats of learning may qualify to be included in the degree.
Programme overview
Year 1
* Modelling and Simulation, 7.5 universitycredits
* Partial Differential Equations, 7.5 university credits
Non-Elective/optional courses
Elective/optional courses
Year 2
Elective/optional courses
Elective/optional Degree project
Degree project
The degree project in the Masters Programme in Calculation Techniques concludes the education, and may be started when the entry requirements for the course syllabus are met. The degree project comprises a minimum of 30 university credit in which the student applies the knowledge acquired during the study period and verbally and also via a written report/paper expresses the results of his/her work. The work should include some form of
subject-related in-depth study within the area of CSE . The degree project is normally carried out on an individual basis, but in rare cases it is permitted for two students to cooperate.
The report must include an English summary, and an English translation of the title.
Alternatively, the entire report may be written in English.
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