Remote Sensing and Geo-Informatics programme hero visual with Earth, satellite and AGH identity

Remote Sensing and Geo-Informatics

Master’s degree programme • Taught in English • AGH University of Krakow

A second-cycle programme for candidates who want to work with satellite data, UAV, LiDAR, GIS, AI and spatial decision support.

4 semesters October 1 start remote-friendly model around 5 weeks on campus entrance exam required

Overview

Programme at a Glance

Essential programme facts are placed first: degree level, language, duration, study model, fees and the official application path.

Second-cycle

Master’s degree programme, full-time studies.

English

International study environment; programme offered in English.

October 1

Start of studies for the summer recruitment intake.

4 semesters

30 ECTS per semester; diploma thesis in the final semester.

Field

Remote Sensing and Geo-Informatics.

Institution

AGH University of Krakow.

Faculty

Faculty of Geo-Data Science, Geodesy and Environmental Engineering.

Tuition fee

EUR 1650/semester for foreign students; no fee for Polish students according to programme communication.

Programme facts: four semesters, English-language study environment, tuition information and EO plus GIS plus AI profile

Official facts and programme links: AGH Master studies offer and programme page.

Why RSG?

Why Remote Sensing and Geoinformatics Matter

Satellite, UAV, LiDAR and GIS data support environmental monitoring, spatial planning, agriculture and crisis-management decisions.

  • Climate change monitoring: deforestation, urban sprawl, heat islands and glacial retreat.
  • Disaster management: flood extent, wildfires, landslides and oil-spill assessment.
  • Agriculture and food security: crop health, drought stress and yield prediction.
  • Urban analytics: city growth, transport networks and green-space accessibility.
  • Water and air quality: algal blooms, turbidity and pollution spread.
Application areas of Earth observation: climate monitoring, spatial planning, agriculture and disaster response

Study Model

Flexible Study Model

The programme uses large thematic blocks rather than many fragmented courses. It combines online learning with concentrated live classes, workshops and group work.

Large thematic blocks

Teaching is clustered into coherent learning blocks instead of many isolated subjects.

Around 5 weeks on campus

Live classes are concentrated in selected periods, mainly workshops and laboratory work.

Workshops and teamwork

Applied tasks, project work and collaborative learning are central to the programme.

Remote-friendly structure

Online consultations, data access and hybrid assessment support flexible learning.

Modern learning paradigm comparing traditional Master’s studies with the AGH RSG experience
Remote-friendly study model combining on-campus workshops with remote access to labs, data and instructors

Study model based on the programme description and AGH syllabus.

What You Learn

What You Will Learn

Learning outcomes combine Earth observation, 3D acquisition, GIS, programming, AI and applied environmental analysis.

Earth Observation and Remote Sensing

Satellite data processing; optical, thermal, radar and hyperspectral remote sensing; spectral indices such as NDVI.

3D Data, LiDAR and Photogrammetry

Airborne LiDAR, UAV-based data, photogrammetry, point clouds and 3D terrain modelling.

GIS, Programming and Spatial Data Science

Spatial data infrastructures, WebGIS, Python, R, JavaScript, AI, machine learning and advanced image processing.

Applied Geospatial Analysis

Environmental monitoring, change detection, agriculture, urban planning, disaster response and crisis monitoring.

Layered knowledge architecture: Earth observation, spatial infrastructure, AI and automation
Earth observation and acquisition: optical, thermal, radar and hyperspectral data, satellite processing and sensors
Artificial intelligence and automation: programming foundations, machine learning and change detection

Curriculum

Curriculum / Programme Architecture

The syllabus is organised across four semesters and ends with a diploma thesis. The learning path moves from data acquisition and processing to modelling, automation and decision-support applications.

SemesterMain study focusECTS
1Remote sensing foundations, programming, spatial data, image processing and GIS concepts.30
2Earth Observation data processing, LiDAR, UAV, photogrammetry, WebGIS and applied spatial analysis.30
3Advanced geoinformatics, AI/ML, environmental applications, natural hazards and project work.30
4Professional practice, seminar and Master’s thesis.30
Applied workflow from data acquisition through processing and automation to WebGIS decision support

Detailed semester modules should be verified against the official AGH syllabus before publication.

Entrance Exam

Entrance Examination

Candidates take the online entrance examination in the recruitment cycle in which they apply. Both exam dates are shown below, together with the topic list and a direct link to the example exam PDF.

1st recruitment cycle

Online entrance exam: 24 July

For candidates applying in the first recruitment cycle. Examination window: 9:00–21:00 CEST.

2nd recruitment cycle

Online entrance exam: 11 September

For candidates applying in the second recruitment cycle. Examination window: 9:00–21:00 CEST.

Preparation

Example exam and details

The example PDF and the official exam page are linked directly from this section.

Indicative topics

  1. Digital image and RGB representation.
  2. Basic image processing operations.
  3. Spatial resolution and scale.
  4. Analytical geometry and map scale.
  5. Basic statistics and data interpretation.
  6. Databases and spatial data.
  7. Equations and mathematical reasoning.
  8. NDVI and spectral indices.
  9. Photo-interpretation.
  10. Electromagnetic radiation.
  11. Spectral curves.
  12. Map algebra and raster analysis.

Official exam information: entrance examination page.

Practice, research and industry integration: research projects, workshops, field testing and career launch

Practice & Research

Practice & Research

The programme is practical and project-oriented, with research projects, industry workshops, conferences, internships and thesis cooperation.

  • Research projects led by AGH and partner institutions.
  • Industry workshops and conferences.
  • Internships in geospatial companies and public agencies.
  • Exam-style lab challenges and team projects.
  • Optional thesis work with scientific or industrial partners.

Careers

Career Opportunities

Graduates combine Earth observation competence with geospatial analytics, programming and environmental applications.

  • State and local administration.
  • Consulting and geospatial service companies.
  • Environmental protection, agriculture, energy and transportation.
  • Spatial planning and urban analytics.
  • Crisis monitoring, disaster management and scientific research.
  • Remote sensing software development and AI-based spatial modelling.
Career ecosystem for graduates in technology, software, AI modelling, public and crisis management, planning and research

Recruitment

Recruitment 2026/2027

Recruitment for full-time Master’s studies is organised in two summer cycles. Candidates submit their declaration in e-Rekrutacja, pay the recruitment fee and take the online entrance exam.

1st recruitment cycle

Declaration in e-Rekrutacja: 1 June – 17 July, 10:00 CEST. Online entrance exam: 24 July, 9:00–21:00 CEST. Results: 28 July after 15:00 CEST.

2nd recruitment cycle

Declaration in e-Rekrutacja: 28 July after 15:00 CEST – 7 September, 10:00 CEST. Online entrance exam: 11 September, 9:00–21:00 CEST. Results: 15 September after 15:00 CEST.

Registration

Candidates with Polish higher education diplomas: 30 July – 3 August. Candidates without Polish diplomas: 16–30 September, on working days.

Fees and eligibility

EUR 1650/semester for foreign students; no fee for Polish students according to programme communication. Eligibility and documents should be checked in official rules.

Recruitment timeline for two cycles and online entrance exams
QR code to programme informationProgramme
QR code to recruitmentRecruitment
QR code to exam informationExam

FAQ

Frequently Asked Questions

Short answers to the questions candidates are most likely to ask before applying.

Is the programme taught in English?

Yes. The programme is offered in English and is designed for an international study environment.

How many on-campus weeks are expected?

The model is remote-friendly. Programme communication highlights approximately 5 weeks of live/on-campus classes, focused on workshops and group work.

Is there an entrance exam?

Yes. The online entrance exam is organised in two recruitment cycles. The official exam page includes topics and an example exam PDF.

What technologies will students work with?

Satellite data, optical/thermal/radar/hyperspectral remote sensing, LiDAR, UAV data, photogrammetry, point clouds, GIS, WebGIS, Python, R, JavaScript, AI and machine learning.

Where can graduates work?

Graduates are prepared for public administration, consulting and service companies, industry, spatial planning, environmental protection, agriculture, energy, transportation and scientific research.

Faculty and contact information visual with Krakow and programme contact panel

Contact

Contact

Programme details

Faculty of Geo-Data Science, Geodesy and Environmental Engineering
AGH University of Krakow
al. A. Mickiewicza 30, 30-059 Krakow, Poland

Programme contact listed in AGH Master offer: Prof. dr hab. inż. Beata Hejmanowska, galia(at)agh.edu.pl.

Recruitment details

Department for International Students
E: international.students(at)agh.edu.pl
P: +48 12 617 50 92

Additional faculty contact

Phone: +48 12 617 38 26
Email: ukras@agh.edu.pl

Final step

Start with the official recruitment portal

Use the QR code to go directly to the official AGH recruitment portal.

Final call-to-action visual with Krakow and QR code to the official AGH recruitment portal