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The Remote Sensing and Geo-Informatics (RSG-I) belongs to engineering and technical sciences (disciplines: civil engineering, surveying and transportation at 51% and environmental engineering, mining and energy at 30%) and natural sciences (discipline: earth and environmental sciences at 19%). The RSC-I is available in English as a second-cycle master's degree program and lasts 4 semesters. Recruitment is possible after the first engineering degree or after the bachelor's degree. The modular nature of the study program is unique, allowing thematic clustering of courses in large blocks: Earth observation and Geoinformation Science, Python for Remote Sensing, Time Series Analysis, Machine learning, Geo-information Tools, Natural Hazards and Disaster Risk Reduction, Urban Planning and Environmental Management. A significant amount of classes are provided in the online mode, which also allows for clustering over time, i.e. live classes are held over 5 weeks per semester.
The field RSG-I is a response to the demand for remote sensing specialists, which increased significantly after 2015, when the European Space Agency (ESA) launched the second satellite in the Sentinel series. Since then, radar and optical images with high spatial and temporal resolution as never before are available free of charge. In addition, a huge amount of other geospatial information (images, rasters, vectors, database etc.) is acquired and collected by various government and private entities.
A number of units, research, administrative, commercial, have been established to deal with this topic. There are many online solutions using satellite imagery, e.g. ESA (Sentinel-hub Playground, esa-sen4cap, Copernicus DIAS (CREODIAS, mundi, sobloo, Wekeo, ONDA), Landsat App, CENAGIS and others).
Due to the wide range of remote sensing applications, first degree graduates (engineering/bachelor degree) are needed in various fields: mathematics, physics, geology, geography, geodesy, engineering/environmental protection, geoinformation, computer science, economics, management and even law, who are at the same time familiar with modern technologies in remote sensing and "geo" oriented programming. Acquisition of knowledge in this field, at level II, is what the RSG-I course makes possible. Graduates can find employment in state and local administration, consulting and service companies, and industry.

Mentor of the field of study: prof. dr hab. inż. Beata Hejmanowska

View full description of the field of study

Study programme determined by Resolution No. 10/2023 of the AGH UST Senate of 1 February 2023

Зимовий сместр, 2023/2024

Предмет Кількість годин Бали ECTS Форма перевірки
Earth Observation and Geoinformation Science
Лекція: 30
Тренінги: 120
10 Іспит O
Python for Remote Sensing
Лекція: 10
Тренінги: 140
10 Іспит O
Transitional work on geo-informatics in remote sensing – individually selected issue solved under the supervision of a tutor
Контрольні та перехідні роботи: 150
10 Іспит O

Літній семестр, 2023/2024

Предмет Кількість годин Бали ECTS Форма перевірки
Time Series Analysis
Лекція: 10
Тренінги: 40
4 Залік O
Machine Learning, Application of Mathematics
Лекція: 15
Тренінги: 60
6 Залік O
Data Science for Smart Environment
Лекція: 15
Тренінги: 60
6 Залік O
Geo-information Tools
Лекція: 10
Тренінги: 40
4 Залік O
Transitional work on machine learning in smart environment – individually selected issue solved under the supervision of a tutor
Контрольні та перехідні роботи: 150
10 Іспит O

Зимовий сместр, 2024/2025

Предмет Кількість годин Бали ECTS Форма перевірки
Natural Hazards and Disaster Risk Reduction
Лекція: 30
Тренінги: 120
10 Іспит O
Urban Planning and Environmental Management
Лекція: 30
Тренінги: 120
10 Іспит O
Transitional work on geoscience in environmental management – individually selected issue solved under the supervision of a tutor
Контрольні та перехідні роботи: 150
10 Іспит O

Літній семестр, 2024/2025

Предмет Кількість годин Бали ECTS Форма перевірки
Diploma Thesis
Дипломна робота: 0
20 Залік O
Humanities and Social Science
Лекція: 15
Тренінги: 60
5 Залік O
Elective
Лекція: 30
Тренінги: 60
5 Залік O