Master's Degree Program

2024-2025

The Lebanese University - Faculty of Sciences (FS1), in collaboration with Esri Lebanon, is proud to announce the updated Master's Degree Program in Geospatial Science and Artificial Intelligence. This program is designed to equip students with cutting-edge skills and knowledge in the rapidly evolving fields of geospatial science and AI.

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About the Program


GeoAl is the integration of artificial intelligence (Al) with spatial data, science, and geospatial technology to increase understanding and solve spatial problems. GeoAl includes the application of traditional Al techniques to generate spatial data through the extraction, classification, and detection of information from structured and unstructured data. GeoAl is also the use of spatially explicit Al techniques that are designed to solve spatial problems through the analysis of spatial data, and includes techniques for detecting patterns, making predictions, spatiotemporal forecasting, and more.



Program Overview and Admission Requirements


This section details the prerequisites and admission requirements for the Geospatial Science and Artificial Intelligence Master's Program.

Master Type

This master's program is a professional master.

Teaching Language

This master's program is exclusively taught in English.

Place of Teaching

The master's program is conducted at the Rafic Hariri University Campus, located in Hadath.

GPA

Applicants must have a minimum GPA of 55/100 (Lebanese University) or 3.2 (other universities).

Major

Applicants must have a major in Mathematics or Computer Science.

Curriculum

Field of Work

Graduates of the Graduate Program in Geospatial Data Sciences and Artificial Intelligence can pursue careers in a wide range of fields. This versatile program prepares students for roles in

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Program Learning Outcomes

Save time by automating the extraction, classification, and detection of information from data such as imagery, video, point clouds, and text.

Build more accurate models. Detect clusters, calculate change, find patterns, and forecast outcomes with spatial algorithms backed by experts.

Streamline manual data generation workflows by using the power of automation to increase efficiency and reduce costs.

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