Remote Sensing, advanced studies (complete at least 95 cr)
Curriculum period 2023 -2026: structure of the Remote sensing study track
Remote sensing study track is discontinuing after the 2023-2026 curriculum period. Students enrolled in the Remote Sensing study track can graduate from their present study tracks until 31.7.2028 or change to the new study tracks.
Compulsory studies for all study tracks (45-50 cr)
Atmospheric and Earth Sciences Today (5 cr)
Atmospheric science seminar for Master’s students (5 cr)
Master's thesis (30 cr)
Maturity test (0 cr)
Personal study plan (0 cr) (included in ATM301)
Select either Climate.now (5 cr) or Climate.now (2 cr).
Select either Project course in atmospheric sciences (3 or 5 cr) or Integrating art and science (5 cr) or Solutions.now (5 cr).
Mathematical and computational methods in remote sensing course package (10-15 cr)
Compulsory courses:
- Atmospheric Radiation (5 cr)
- Geoinformatics I (5 cr)
Optional course: Spatial Modelling and Bayesien Inference (5 cr)
Optional courses / course packages (complete at least 40 cr)
You can complete whole course packages or singular courses.
Observation systems and methods course package
Meteorological observation systems (5 cr)
Advanced Course in Radar Meteorology (5 cr)
Laboratory Course in Radar Meteorology (5 cr)
Remote sensing of the atmosphere and hydrosphere course package
Satellite Remote Sensing Methods in Aerosols Science (5 cr)
Time Series Analysis in Geosciences (5 cr)
Introduction to Light Scattering (5 cr)
Remote sensing of the biosphere and land use course package
Introduction to Remote Sensing of Environment (5 cr)
Advanced remote sensing of environment (5 cr)
Hyperspectral remote sensing (5 cr)
Geoinformatics 2 (5 cr)
Remote sensing 1 (5 cr)
Counting methods in forest sciences (5 cr)
GIS analysis and modelling (5 cr)
Advanced course in remote sensing (5 cr)
Optional advanced courses for all study tracks (0-30 credits)
Leadership for Sustainable Change (5 cr)
Introduction to Earth System Modelling (5 cr)
Sustainable.now (5 cr)
SystemsChange.now (5 cr)
Solutions.now (5 cr)
Living with changing climate (5 cr)
Forests and Climate Change (2 cr)
Climate University for Virtual Exchanges (CLUVEX) (1 cr)
Una Europa Virtual Exchanges for Sustainability (1 cr)
Environmental and Climate Regulation in the EU (5 cr)
Application of AI/ML techniques in Atmospheric Science (3 cr)
Integrating art and science (5 cr)
Data Science
Statistical Tools for Climate and Atmospheric Science (5 cr)
Analysis of atmosphere-surface interactions and feedbacks (5 cr)
Time Series Analysis in Geosciences (5 cr)
Introduction to Data Science (5 cr)
Advanced Course in Machine Learning (5 cr)
Bayesian Data Analysis (5 cr)
Neural Networks and Deep Learning (5 cr)
Select at most one of the following courses:
- Introduction to Machine Learning (5 cr)
- Introduction to Machine Learning for Atmospheric and Earth System Research (5 cr)