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University of Munster

Münster

Geoinformatics & Spatial Data Science

Subjects: Geoinformatics;Data Science

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester ? Separate from the tuition fees, the cost per semester refers to another fee students pay each semester, covering registration fees, administrative costs, and often a public transport ticket.
321 EUR

💶  Tuition Fees per Semester
1,700 EUR
⏱️ Application Deadline Summer
15.01.

⏱️ Application Deadline Winter
15.07.

Course description

Our mission is to educate students in the most advanced techniques in geographic information processing. Building on a Bachelor of Science in Geoinformatics or a related field, the Master of Science in Geoinformatics and Spatial Data Science program enhances problem-solving skills and analytical capabilities. It also teaches innovative and creative scientific research methods. At the Institute for Geoinformatics Münster, a leading center for geospatial information science, Master students engage in cutting-edge research projects. This involvement offers opportunities to conduct Master theses on emerging technologies. Earning a Master’s degree from the Institute for Geoinformatics prepares you for leadership roles in both industry and academia. The medium of instruction is English.

Program Information

Study Location Münster
Start Semester Summer, Winter
Study Form Full-time
Study Type Postgraduate
Teaching Language English
Dual No
Remote No
Application Fee non-EU No information
Study Length 4 Semesters
Tuition Fees per Semester 1,700 EUR
Cost per Semester 321 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
15.01.
⏱️ Application Start Winter
01.05.

⏱️ Application Deadline Winter
15.07.

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Application Requirements

Language Requirements

CEFR No information
IELTS 6.5
Cambridge (CAE) No information
TOEFL IBT 80

Another entry requirement for applicants is proof of active participation sufficient knowledge of the English language for the courses. The proof is provided by the TOEFL certificate with a minimum score of 550 (paper-based) or 80 (internet-based), through which IELTS certificate with a minimum score of 6.5 (academic) or an equivalent certificate provided. Applicants can also demonstrate their English skills in the Transcript of Records or achievements in English-language courses during the bachelor's degree as documented in the certificate prove. If there is any doubt about the existence of sufficient knowledge of the English language, the The selection committee will have an interview with the applicant to determine whether the required English skills are available. Proof is not required for Applicants whose native language is English or who already have a bachelor's degree completed, which was conducted entirely in English.

Qualification Requirements

The prerequisite for entry to the Master's program in Geoinformatics and Spatial Data Science is also the general requirements for enrollment include completion of a relevant subject Studies with a standard period of study of at least 6 semesters, leading to a bachelor's degree or a another professional qualification (diploma, state examination, etc.) has been successfully completed. Technically relevant within the meaning of sentence 1 is a degree in geoinformatics at a German university or foreign university. Degrees in other spatial degree programs with a mathematical and information science basis (e.g. computer science, geodesy, surveying, Geosciences) are technically relevant in the sense of sentence 1 if within their scope at least 80 credit points were acquired, which are considered equivalent to the credit points of the degree program Bachelor of Science Geoinformatics can be recognized at the Westphalian Wilhelms University. The The prerequisite for equivalence is if competencies in at least four of the following Areas were successfully achieved: - Mathematics - linear algebra and analysis - Algorithms and data structures - Relational databases and common database systems - Programming and software engineering - Architectures and methods for distributed storage and processing of (geo) information

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University
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