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Master's programme

Remote Sensing and Geoinformatics Karlsruhe Institute of Technology

Duration
4 semesters
Language of instruction
English
Tuition fees
Tuition varies
Next application deadline
30 November 2026 (summer semester)
Language level required
English: B2
German: None

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Programme overview

Quick facts

Degree
MSc
Duration
4 semesters
Full-time / part-time
Full-time
Intake
Winter and summer semester
Joint degree / double degree programme
No
A Diploma supplement will be issued
Yes
Combined Master's degree / PhD programme
No

Language of instruction

English

Courses are held in English. Participation in German-language courses from other degree programmes is possible but not required.

Programme description

The Master's programme in Remote Sensing and Geoinformatics is research-based, and it makes use of the unique capabilities available in these fields at KIT. The first and second semesters of the two-year programme set a common basis in remote sensing and geoinformatics techniques and applications. At the same time, a selection of one out of six profiles allows for a specialisation according to each student's interests. Lab rotations in the third semester allow students detailed insights into the scientific work of self-selected research groups at KIT. Furthermore, these lab rotations help students gain hands-on research experience. A six-month MSc thesis is completed in the fourth semester. Successful students are awarded the degree Master of Science (MSc) in Remote Sensing and Geoinformatics. The programme language is English. Selected supplementary courses in other languages may be chosen from other KIT programmes to complement the desired profiles of the students.

Programme structure

The goal of this MSc programme is to convey the ability to independently apply scientific knowledge and methods to evaluate and solve complex scientific and social problems. To this end, a mixture of basic skills and advanced methods and applications make up the programme.
The total number of credit points (CP) is 120. They are distributed over the different courses as follows:

  • Remote Sensing 21 CP
  • Mathematics and Beyond 17 CP
  • Profile Courses 20 CP
  • Supplementary Modules 8 CP
  • Lab Rotation 20 CP
  • Key Competences 4 CP
  • Master's Thesis 30 CP

Students can choose from six profiles of combinations of two of the following topics areas:

  • Computer Vision
  • Remote Sensing of the Atmosphere
  • Environmental Geodesy
  • Geoinformatics

EUCOR – The European Campus: Students can participate in lectures held at four other universities located along the Rhine river.

Mode of study

  • Fully on-site

International elements in the curriculum

The curriculum of this study programme includes international elements that support global perspectives and cross-cultural learning:

  • Language training provided

Application and admission

Application period(s)

Summer semester

Applicants from Applications begin Application deadline
All countries
Not specified
30 November 2026

Winter semester

Applicants from Applications begin Application deadline
All countries
Not specified
15 June 2027
Information on application periods

Academic admissions requirements

Admission requirements to the Master's degree programme in Remote Sensing and Geoinformatics are:

  • a geo-related completed Bachelor's degree or at least equivalent degree from a programme with a duration of at least three years, based on a minimum of 180 ECTS credit points in the fields of physical-natural sciences, engineering-information technology and especially geodesy or geoinformatics-related or geoscientific fields
  • minimum requirements in mathematics, statistics, physics and/or mechanics of 25 credit points completed in the Bachelor's programme
  • minimum requirements in (geo) computer sciences, image processing, remote sensing, photogrammetry, geosciences, geodesy and/or cartography of at least 30 credit points completed in the Bachelor's programme
  • motivation letter

Language requirements

Please check all requirements directly with the respective higher education institution.

German language requirements

German: None

English language requirements

English: B2

Accepted certificates include
Certificates Minimum result
UNIcert® English
Total: UNIcert® II
TOEFL iBT Home Edition (before 2026)
Total: 90 / 120
Reading: 18 / 30
Listening: 17 / 30
Writing: 17 / 30
Speaking: 20 / 30
IELTS Academic
Total: 6.5 / 9
Cambridge English Qualifications
Total: C1 Advanced

How to apply?

Website

Please check this website.

Click here

Costs and funding

Tuition fees per semester

Applicants from Tuition fee
Non-EU countries
1,701 EUR

Semester contribution

Approx. 200 EUR per semester

Cost of living

Approx. 900 to 1,100 EUR per month

Part-time employment

It is possible to find part-time employment, e.g. as a scientific assistant at KIT.

Living & services

Support for international students

  • Welcome event
  • Buddy programme
  • Support with registration procedures

The International Students' Office offers advice and support to all international students, and KIT's Welcome Hub for Internationals also supports international students.
The department has its own international officer.

Support for specific needs

Course-specific language courses available

  • English
  • German

Career advisory services

KIT has a professional career service.
https://www.careerservice.kit.edu/en/

Accommodation

Accommodation is available in student residences, organised by the "Studierendenwerk" in Karlsruhe: https://www.sw-ka.de/en/wohnen/wohnheime_ka/.

Additionally, students can find accommodation on the free market in individual flats or flat shares. The KIT international Office has more information: https://www.kit.edu/study/living-and-learning-in-karlsruhe.php.

Contact

Main contact

Department of Civil Engineering, Geo and Environmental Sciences

Name
Dr Michael Mayer
Address
76131 Karlsruhe
Email
E-mail

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Always know what comes next

Study Guide gives you a personal to-do list tailored to your background, qualifications and interests, so you always know what to do next.