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MSc in Computational Science and Engineering

Overview

Master of Computational Science and Engineering is one of the best courses to choose from that offers in-depth learning in a Computational Science. An MS Degree in Computational Science from the Technical University of Munich has consistently made its place among the top global universities. International students prefer this course at the Technical University of Munich due to its high graduate employability rate.

Technical University of Munich offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Computational Science from the Technical University of Munich, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at Technical University of Munich offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computational Science from the Technical University of Munich is a great choice for students who want to analyse the field in great depth.

Why Study Computational Science and Engineering at Technical University of Munich

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

Course Highlights

Official website

link to course page
interest rates
Interest rates as low as 7.99%
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Application Deadline

May 31

  Winter final deadline

Pre-requisites

Test Score Requirements test score requirement

Minimum english score required

TOEFL

88

IELTS

6.5

PTE

65

Application Pre-requisites application pre requisite

  • Application
  • Proof of language proficiency in English
  • Motivation letter
  • Curriculum analysis
  • Complete and up-to-date CV
  • Letters of recommendation from two professors
  • ID card or passport

 

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Course Details

Core subject areas

  • Numerical Analysis
  • Computer Science
  • Scientific Computing
  • Computational Physics
  • Computational Fluid Dynamics
  • Visualization

Class profile

Total no. of students in the class

82