Master in Computer Simulations for Science and Engineering COSSE

KTH Royal Institute of Technology

Program Description

Master in Computer Simulations for Science and Engineering COSSE

KTH Royal Institute of Technology

Computer Simulations for Science and Engineering (COSSE) is a master’s programme within the multidisciplinary field of Computational Science and Engineering (CSE), which is an enabling technology for scientific discovery and engineering design. CSE involves mathematical modelling, numerical analysis, computer science, high-performance computing and visualization. The remarkable development of large-scale computing in recent decades has turned CSE into the “third pillar” of science, complementing theory and experiment.

Computer Simulations for Science and Engineering at KTH, TU Berlin and TU Delft

The programme is given jointly by KTH Royal Institute of Technology (Sweden), Technical University of Berlin (Germany) and Delft University of Technology (Netherlands).

The programme is given jointly by KTH Royal Institute of Technology (Sweden), Technical University of Berlin (Germany), and Delft University of Technology (Netherlands).

The COSSE master’s programme is a two-year programme including compulsory mobility for the students. They will enter one of the universities and continue in their second year at one of the other universities. As a general rule, students will be admitted to TU Berlin for the first year.

The programme includes three semesters of courses followed by a fourth research semester spent on a master’s thesis (30 ECTS credits) under the supervision of both universities attended. The students receive a double degree from both the first and second year universities.

Learning outcomes

The COSSE-students will become very familiar with the tools of CSE, which includes:

  • mathematical modelling techniques
  • simulation techniques (discretisations, algorithms, data structures, software in CSE)
  • analysis techniques (data mining, data management, visualisation)

The students will become experts in the generic tools as applied to one of the specialisations offered by the universities. Upon graduation from COSSE, the students will have acquired

  • familiarity with selected scientific and engineering application areas and their mathematical models.
  • a knowledge base and skills ranging from formulation of a mathematical model to constructing software for high-performance computer architectures.
  • effective communication skills for interacting on written and oral presentations with the professional community as well as management and society at large..
  • a degree of independent and critical appraisal of the capability and limitations of, and results produced by, computational modelling.

Workshop

After the beginning of the second semester, students, scholars and teachers of all partner universities will meet for a joint workshop to advise students on their elective courses, including possible topics for their master’s thesis. The workshop will include joint research and cultural activities and provide contacts to research departments in academia and industry.

Degree project

The degree project (Master's thesis) comprises 30 ECTS credits, and is carried out in the second half of the second year of the programme. Students are supervised and examined by faculty from both the home and the host university. The project work may be performed in a research group at the institute or as a project in industry or consulting company.

Topics covered

Computational fluid dynamics, numerical linear algebra, high-performance computing, data assimilation, optimal control, control theory, numerical analysis, biocomputing, bioinformatics, machine learning

Careers

As to career opportunities, a COSSE master’s degree opens several opportunities:

  • to join the international research community by continuing PhD studies in the CSE and science/engineering fields where simulation and high-performance computing is applied: fluid dynamics, electromagnetics, molecular physics, quantum chemistry, material science, chemical engineering, structural mechanics, biocomputing, and many more.
  • to gain employment in “end-user” high-tech industry and “provider companies”, using and developing tools for advanced computer simulation in the pharmaceutical, automotive, materials, aeronautics, power generation, micro-electronics, etc. industries.
  • to start new innovative companies which are based on CSE expertise.

The programme is highly research oriented. So far, roughly two thirds of the graduates have continued with a PhD position at the consortium partners KTH, TU Berlin, and TU Delft as well as at leading international universities, for example, MIT (USA), [ÅA1] Oxford University (UK), Purdue University (USA), Uppsala University (Sweden), ETH (Switzerland), Karolinska Institute (Sweden), University Melbourne (Australia), INRIA (France), Simon Fraser University (Canada), UPC Barcelona (Spain), NTU Singapore, and many others.

The graduates of this programme are in high demand on the labour market as well. Alumni work in large and smaller companies such as Ericsson (Sweden), IBM Peking (China), BASF (Germany), Tata Steel (The Netherlands), DeCode genetics (Iceland), Sabic (India), AT Kearney (The Netherlands), HERE (Germany), TNO (The Netherlands) and many others.

This school offers programs in:
  • English


Last updated November 16, 2017
Duration & Price
This course is Campus based
Start Date
Start date
Aug. 2018
Duration
Duration
2 years
Full time
Price
Price
24,800 EUR
Information
Deadline
Locations
Sweden - Stockholm
Start date: Aug. 2018
Application deadline Request Info
End date Request Info
Dates
Aug. 2018
Sweden - Stockholm
Application deadline Request Info
End date Request Info