Computational and Data Science (M.Sc.)

Discover a truly interdisciplinary mathematics program that bridges mathematics and computer science with sciences, engineering, and economics — empowering you to tackle complex challenges across diverse fields.

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Please note that the Master's program is currently being accredited. This means that the information on this website reflects a preliminary status only. Details are not yet legally binding and may be subject to changes in the coming months. The information on this website is intended to give you an early overview and is non-binding at this time. We expect accreditation to be completed by late March/early April 2026.

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The KIT Department of Mathematics intends to establish the Master's degree program Computational and Data Science (M.Sc.) by the winter term 2026/2027, i. e. the program is expected to start for the first time in October 2026. The language of instruction will be English. The online application portal will open by mid to late May 2026. Admission requirements will be published in April/May 2026.

About the Program

The new degree programs in Computational and Data Science (B.Sc./M.Sc.) at KIT will offer a distinctive interdisciplinary profile. While Data Science focuses on recognizing patterns and developing models by analyzing data, Computational Science uses existing models to simulate data and make predictions. Students take courses in Mathematics for Computational and Data Science and Computer Science as well as in an application discipline within the field of Sciences, Engineering, or Economics – the so-called “SEE subject.” This interdisciplinary structure equips graduates to combine mathematical models and their numerical simulation with methods from machine learning and artificial intelligence, enabling them to independently solve complex application problems using computational approaches.

In the SEE subject, students choose one of eight different profiles, each offered by participating KIT departments. The available profiles are:

  • Business and Economics (KIT Department of Economics and Management)
  • Computational Chemistry (KIT Department of Chemistry and Biosciences) -- Please note: The SEE-profile Computatioal Chemistry is taught in German only. It cannot be studied in English.
  • Computational Mechanics and Thermodynamics (KIT Department of Mechanical Engineering together with the KIT Department of Civil Engineering, Geo- and Environmental Sciences)
  • Computational Physics (KIT Department of Physics)
  • Computational Earth System Sciences (KIT Department of Civil Engineering, Geo and Environmental Sciences together with the KIT Department of Physics)
  • Electrical Engineering and Information Technology (KIT Department of Electrical Engineering and Information Technology)
  • Process Engineering (KIT Department of Chemical and Process Engineering)
  • Robotics and Autonomous Systems (KIT Department of Informatics)

The structure is depicted as a building. The subjects Mathematics for CDS, Computer Science and the Applied Discipline (also called "SEE-Subject") comprise each 16-32 Credit Points and build the ground level of a house. The roof depicts a Specialization, also comprising 16-32 credit points, which is chosen from either Maths, Computer Sciences or the Applied Discipline and the Master's Thesis (30 credit points) as the rooftop. Hackathon, High Performance Computing and Research Data Management as well as Interdisciplinary Qualifications comprise 10 credit points in total and are depicted on the ground level.

Students can choose to deepen their expertise in mathematics, computer science, or their selected application profile. This structure offers a wide range of individual choices within the program.

A pie chart illustrates the proportions of the subject areas: 17 % Mathematics for Computational and Data Science, 17% Computer Science, 17% Sciences, Engineering, Economics (SEE), 41% Specialization and Master’s Thesis, 8% Hackathon and Interdisciplinary Qualifications. Note that these proportions are averages. Proportions vary depending on individual choices.

Admission Requirements

Specific information concerning prerequisites for applications and admissions can only be published after accreditation has been completed, i.e., between April and May 2026. Please refrain from submitting individual inquiries. General information on applying for a degree program at KIT can be found in the FAQ.

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. You can check out the mandatory courses in the Bachelor’s program as a rough reference.

Further Information

Further information, e.g. on admission requirements and other legal requirements will be made available in April/May 2026.

+ + + + + +  N o t i c e + + + + + +

Please note that the Master's program is currently being accredited. This means that the information on this website reflects a preliminary status only. Details are not yet legally binding and may be subject to changes in the coming months. The information on this website is intended to give you an early overview and is non-binding at this time. We expect accreditation to be completed by late March/early April 2026.

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