Computational and Data Science

Academic Requirements

Applicants are expected to have in-depth interdisciplinary academic knowledge obtained in a Bachelor's degree program as a prerequisite for admission. Previous knowledge is mandatory in in all subjects taught in the Bachelor's degree program Computational and Data Science at KIT. The mandatory courses in the Computational and Data Science Bachelor’s program at KIT can be viewed as a rough guide to what is expected.

The admission regulations specify the following requirements:

• Bachelor’s Degree
• A completed bachelor’s degree (or at least an equivalent degree) in Computational and Data Science, Mathematics, Computer Science (or a program with substantially the same content), or in a bachelor’s program in the fields of Economics, Chemistry, Earth System Sciences, Mechanical Engineering, Physics, Electrical and Information Engineering, Chemical Engineering, Process Engineering, or Robotics at a university, university of applied sciences, or cooperative state university in Germany or at a foreign university. Studies must have been completed within a regular study period of at least three years and with a minimum of 180 credits.
• Bachelor’s Thesis (6 ECTS Credits)
• A bachelor's thesis (or a comparable independent academic paper) worth at least 6 credits.
• Minimum knowledge and achievements in
• Fundamentals of Mathematics, "Mathematische Grundstrukturen" in German (20 ECTS Credits)
• Prior knowledge of fundamental mathematical structures, i.e. in linear algebra and analysis or higher mathematics in the amount of at least 20 credits.
• Additional subject knowledge totaling at least 64 ECTS credits (consisting of 40 credits from one area plus at least 12 credits from _each_ of the two remaining areas):
• Applied Mathematics or Mathematics for Computational and Data Science
• Computer Science
• The Natural Sciences, Engineering or Economics in one of the profiles of _Business and Economics_, _Computational Chemistry_, _Computational Earth System Sciences_, _Computational Mechanics and Thermodynamics_, _Computational Physics_, _Electrical Engineering and Information Technology_, _Process engineering_, or _Robotics and Autonomous systems._

Please note: Only the requirements listed are relevant for admission. Other aspects, such as previous job experiences or personal references / letters of recommendation, are NOT considered at all.

In the application portal, please submit only those documents referring to the required academic achievements listed above.

Applications