Program structure

The aim of the degree program is to enable students to independently apply the scientific knowledge and methods they have acquired and to evaluate their significance and scope for solving complex scientific and social problems. In order to achieve this goal, the curriculum of the program includes methodological basics as well as advanced and specialized methods and applications.

The total number of credit points (CP) is 120, which are distributed among the subject areas as follows:

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

Profiles

In the Profiles subject, students can choose from six profiles, each consisting of a combination of two of the following subject areas:

• Computer Vision and Geoinformatics

• Computer Vision and Remote Sensing of the Atmosphere

• Computer Vision and Environmental Geodesy

• Geoinformatics and Remote Sensing of the Atmosphere

• Geoinformatics and Environmental Geodesy

• Remote Sensing of the Atmosphere and Environmental Geodesy

Graduates of the degree program Remote Sensing and Geoinformatics can work in all areas where geodata is surveyed, collected, analyzed, visualized and interpreted by help of modern information technology and digital media: from automobile industry to development of appliances and electronics industry, software development, construction businesses, engineering offices, public administration and agencies to international air and space organisations. Not only is a direct start in a professional career possible, graduates with excellent accomplishments may also choose to do a doctorate which opens the possibility for a future career in research and teaching.

Characteristic features of Remote Sensing and Geoinformatics M.Sc. at KIT

• future-oriented engineering degree program (specialization in mathematics and natural sciences)
  
• master's orientation phase
  
• interdisciplinary orientation with special links to computer science and geosciences
• student research projects in small, well-supervised groups
  
• high proportion of practical work (exercises, project work)
  
• research-oriented teaching through active participation in research and engineering projects
  
• study abroad via Eucor, EPICUR, Erasmus+ or your faculty's overseas programs
  
• support in organizing your studies from the Student Advisory Services and your academic advisor
  

What KIT has to offer

• central campus close to the city forest and right next to the city center
  
• 24-hour library offering single and group working places
  
• wide range of inexpensive catering options (dining hall, cafeteria, Koeri and Pizzawerk)
  
• numerous interdisciplinary offers for personal and professional development, e.g. Lernlabor, Schreiblabor and Perspektivenlabor
  
• study abroad, e.g. via Erasmus
  
• excellent university sports facilities with a large selection of sports
  
• comprehensive cultural offerings with university orchestras, choirs and theater groups
  
• extensive support for career entry and self-employment
  
• internationally oriented degree programs and diverse exchange programs
  
• modern laboratories and practical teaching methods
  
• Lernraum app
  
• diverse student initiatives, clubs and opportunities to actively participate in campus life
  
• stay in touch after graduation via the alumni network
  

Admission requirements

The requirements for admission to the master's degree program in Remote Sensing and Geoinformatics are based on the current admission regulations:

• bachelor's degree
  a bachelor's degree (or at least an equivalent degree) in a subject-related physical or natural science degree program, in Engineering or Information Technology, in particular Geodesy or Geoinformatics, or in Geosciences (e.g. environmental sciences, geoinformatics, geosciences, geodesy, remote sensing, meteorology, geoecology or similar) at a university, university of applied sciences or university of cooperative education or at a foreign university. The program must have been completed within a standard period of study of at least three years and with a minimum number of 180 ECTS credits.
• minimum knowledge and minimum achievements in the fields of
  • mathematics, statistics, physics and/or mechanics totaling 25 LP
  • geoinformatics, image processing, remote sensing, photogrammetry, geosciences, geodesy and/or cartography totaling 30 CP
• letter of motivation in which you explain on a maximum of one DIN A4 page in English how the master's degree program in Remote Sensing and Geoinformatics ties in with your previous personal history and how it will be useful for your future career.

Language requirements and certificates

For the master's degree program in Remote Sensing and Geoinformatics, you need sufficient knowledge of the English language. Your English language skills must correspond to at least level B2 of the Common European Framework of Reference for Languages (CEFR).

Proof of sufficient English language skills

The following is sufficient proof of your English language skills

• your Abitur certificate, if you have taken English for at least five years up to graduation and your final or average grade of the last two years of English lessons corresponds to at least the German grade 4 (sufficient) or at least 5 points or
• a degree from a university with English as the sole language of instruction and examination, whereby English must be the only and official language of the completed degree program noted in the diploma supplement, the transcript of records or the degree certificate
  

Otherwise, only the internationally recognized English tests listed in the KIT admission and enrollment regulations are accepted as proof. These are

• Test of English as Foreign Language (TOEFL) with at least 90 points in the internet-based test or

• IELTS with an overall score of at least 6.5 and no section below 5.5 or

• University of Cambridge Certificate in Advanced English (CAE) or

• University of Cambridge Certificate of Proficiency in English (CPE) or

• UNIcert at least level II

In addition, the following proof is also accepted:

• a secondary school leaving certificate from a school in the USA, Canada, Great Britain, Ireland, Australia or New Zealand

Please note:
Language certificates are extremely important application documents that can prevent your enrollment if you do not submit them on time. Therefore, check early on in the application process whether you have the necessary language certificates for your degree program and, if necessary, plan to take one of the language tests mentioned above. The deadline by which you must submit language certificates corresponds to the enrollment deadline stated in your admission offer. In justified cases, you can apply for an extension of this deadline. The extension can be granted until the start of the lecture period at the latest.

There are 16 places available each year in the master's degree program in Remote Sensing and Geoinformatics. These are allocated on the basis of a ranking list among those applicants who fulfill the admission requirements. The ranking list is based on a maximum of 100 achievable points.

You can achieve in detail

• max. 90 points for the overall grade of the final academic examination (grade of your bachelor's degree) and
  
• max. 10 points for the letter of motivation. The assessment of the letter of motivation also takes into account your ability to express yourself linguistically, particularly in English.

Study and examination achievements that are named differently but have the same content will be taken into account in the selection process if they are equivalent. The admission and selection commission decides on equivalence.

Additional contacts:

• KIT-Department of Civil Engineering, Geo- and Environmental Sciences
• Website Remote Sensing and Geoinformatics
• Academic advisor
• Examination board
• Information about exchange programs and studying abroad
• Student representatives Remote Sensing and Geoinformatics

• Course catalog current term
• Course catalog current term PDF (English)
• Archive of previous catalogs