Master of Science in Scientific Computing 24 months Postgraduate Programme By Universität Heidelberg |TopUniversities
Subject Ranking

# =165QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Tuitionfee

3,000 EURTuition Fee/year

Application Deadline

30 Sep, 2026Application Deadline

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Scientific Computing students work to develop applied mathematics methods and algorithms, implement these methods using modern computing technologies, and apply them to real-world problems.



This research- and application-oriented Master's program focuses on the mathematical specialization area of Scientific Computing. In addition to in-depth specialist knowledge, students primarily acquire scientific methodological competence in mathematics and computer science. Including, from mathematics:


  • Numerical methods for ODE and PDE
  • Statistics and data analysis
  • Differential geometry and computer algebra
  • Linear and nonlinear optimization methods
  • Computational methods in fluid dynamics

as well as from computer science:


  • Parallel computing
  • Scientific visualization
  • Mixed/Whole Number programming
  • Spatial databases

In addition, students choose an accompanying area of application. The University offers a wide range of options in the natural sciences, life sciences and medicine, economics and social sciences, and the humanities.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Scientific Computing students work to develop applied mathematics methods and algorithms, implement these methods using modern computing technologies, and apply them to real-world problems.



This research- and application-oriented Master's program focuses on the mathematical specialization area of Scientific Computing. In addition to in-depth specialist knowledge, students primarily acquire scientific methodological competence in mathematics and computer science. Including, from mathematics:


  • Numerical methods for ODE and PDE
  • Statistics and data analysis
  • Differential geometry and computer algebra
  • Linear and nonlinear optimization methods
  • Computational methods in fluid dynamics

as well as from computer science:


  • Parallel computing
  • Scientific visualization
  • Mixed/Whole Number programming
  • Spatial databases

In addition, students choose an accompanying area of application. The University offers a wide range of options in the natural sciences, life sciences and medicine, economics and social sciences, and the humanities.

Admission Requirements

Applicants for a Master's degree programme must have successfully completed a first university degree programme at a German or international university that qualifies them to enrol in the desired Master's programme. 

30 Sep 2026
2 Years
Oct
Apr

Tuition fees

Domestic
0 EUR
International
3,000 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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