About Course

Mathematics and Computer Science

Degree Type

Master of Scientific Computing is one of the best courses to choose from that offers in-depth learning in a Mathematics and Computer Science. An MS Degree in Mathematics and Computer Science from the Heidelberg University, Ruperto Carola has consistently made its place among the top global universities. International students prefer this course at the Heidelberg University, Ruperto Carola due to its high graduate employability rate.

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

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

Why Study Scientific Computing at Heidelberg University, Ruperto Carola

  • 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


Students

2

Yocketers applied

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0

Yocketers admitted

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12

Yocketers interested

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Yocketer profiles

Nuzhat Haider

Nuzhat Haider

Shortlisted

Masters in Scientific Computing

Fall 2019

Owais Akhtar

Owais Akhtar

Shortlisted

Masters in Scientific Computing

Fall 2020

Arka Dutta

Arka Dutta

Shortlisted

Masters in Scientific Computing

Fall 2023

Rajeev Mohanty

Rajeev Mohanty

Shortlisted

Masters in Scientific Computing

Fall 2018

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