Study Abroad
Study Guide to Masters and Bachelors Degree Courses






Computational Sciences in Engineering (CSE)
Institute of Technology
Technical University of Braunschweig


 

Address TU Braunschweig, CSE, Beethovenstrasse 51, 38106 Braunschweig, Germany
Tel. No. +49 531 391 2241
Fax No. +49 531 391 2242
E-mail address cse@tu-braunschweig.de
Course MSc in Computational Sciences in Engineering (CSE)
Type of course Full-time
Lenght of course 2 years
Date of commencement October 1st / application deadline: February 15th
Class size 40 students
Cost/Fees 500 € tuition fee and about 200 € administration fee – includes the Lower Saxony train ticket and the ticket for public transportation
Accommodation Available, university holds several student dormitories
Student grants / financial assistance Several scholarships available for national and international students
Top recruiters of our graduates PhD-Programmes in German and foreign universities, Volkswagen, Airbus, Siemens,
Admissions requirements TOEFL of 550/213 points, knowledge of the German language not necessary, free German courses are offered within the programme
Course director Prof. Dr.-Ing. Andreas Zilian
Student profile Countries of origin: China, India, Bangladesh, Brazil, Pakistan, Indonesia, Germany, Russia, Turkey, Greece, Vietnam, Canada, USA, Ukraine, Bulgaria, Nepal, Chile, Mexico, Colombia
Ratio Men: Women Men: 85%, Women: 15%
Age Range 22-29 years old
Average Age 24
Average Work Experience 1 year


 



About the Computational Sciences in Engineering (CSE)


Computational sciences and engineering have become an indispensable part of almost all scientific research and technological development at universities and laboratories as well as in research and development offices in the private sector.

The breathtaking progress in computing has dramatically changed the way engineers, mathematicians, and computer scientists work. The technological improvement of hard- and software and the genesis of computer-based methods have opened up new possibilities and horizons for the natural sciences and engineering.

In many areas computer simulations have complemented or even replaced experiments, which has led to a so far unknown quality of scientific and practical work.
A graduate who has successfully completed his studies in Computational Sciences in Engineering has the ability to develop mathematical models of physical processes arising in various engineering sciences and to solve the model equations with appropriate numerical methods.

He (she) has gained specialized knowledge in the fields of natural and engineering sciences (general physics, thermodynamics, solid and fluid dynamics), mathematics and computer science (linear algebra, differential equations, variational calculus, scientific computing) and scientific computing for engineering problems (numerical methods, weighted residuals, finite difference/volume/element technology for linear and nonlinear problems, high performance and parallel computing).

He (she) is able to apply this knowledge for the development of new approaches and enhancement of existing techniques, respectively.
He (she) has the ability to work in increasingly interdisciplinary project teams the members of which, at this stage, are often located at different places, partly in different continents, and communicate using modern media. In this working environment, he (she) is able to plan and handle sub-projects and to present his (her) results successfully.

The Master programme of the Technische Universitaet Braunschweig is research oriented and characterized by its distinctive scientific orientation. Moreover, it is characterized by the concentration in terms of the contents on the basis of an extensive offer of possibilities for consolidation that are strongly oriented to the current fields of research of the involved faculties and their institutes.

The graduates have a profound knowledge on several fields of a specific engineering science and scientific computing. Furthermore, key qualifications have been acquired.
The successful completion of the Master programme Computational Sciences in Engineering enables the graduates to find appropriate solutions for problems in the area of Computational Sciences in Engineering and to work in leading positions in the engineering industry and in the administration as well as to do research work independently.

Especially, the Master programme enables to perform research work independently within the scope of a doctoral thesis in the fields of Civil Engineering, Mechanical Engineering, Electrical Engineering, Information Technology, Mathematics or Computer Science.
Graduates of the Master programme are able to solve problems using their specialized knowledge. Furthermore, their interdisciplinary knowledge enables them to occupy positions in project management.


About the Department


The participating departments in the CSE-programme are:
Carl-Friedrich Gauss Department
Department of Architecture, Civil Engineering and Environmental Sciences
Department of Mechanical Engineering
Department of Electrical Engineering, Information Technology, Physics
Please find individual descriptions for each department on the corresponding websites.







 


Request For Further Information

Please fill in the information below and your request will be submitted to the university

Title*
Your first name*
Your last name*
Your e-mail address*
Re-type your e-mail address*
Your phone No. (with dialing codes)
Your fax No.
Nationality*
Address 1
Address 2
City
Postal code
State
Country of residence* (where you live)
Existing qualifications*
Work experience
Expected enrollment date*
Additional information


  I agree to be added to the EuroEducation Newsletter mailing list to receive information on International Degree courses, admission requirements, fees, scholarships, grants, etc. You can unsubscribe at any time here

All fields marked with * are required

IMPORTANT!
By submitting this form, you agree to EuroEducation terms and privacy policy.


   


 


Copyright © EuroEducation
Terms of Use | Disclaimer | Privacy & Cookies