Biosphere-atmosphere cycles, advanced studies (95-120 cr)
Your degree will include minimum of 120 credits out of which at least 95 credits are of advanced courses.
Compulsory courses (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).
Alternative advanced studies (complete at least 50 cr)
Analysis of atmosphere-surface interactions and feedbacks (5 cr)
Field Course in Micrometeorology and Hydrology (5 cr)
Global biogeochemical cycles (5 cr)
Eddy covarience intensive course (5 cr)
Tree ecophysiology (5 cr)
Forest and peatlands as modifiers of atmospheric composition (5 cr)
Basics of Biometeorology (3 or 5 cr)
Forest Ecosystem Biogeochemistry (5 cr)
Soils and climate change (5 cr)
Methods in ecophysiology (5 cr)
Climate change mitigation and adaptation in forestry (5 cr)
Simulation of forest growth (5 cr)
Soil hydrology (5 cr)
Advanced soil science (5 cr)
Advanced aquatic and sediment biogeochemistry (5 cr)
Arctic climate change (5 cr)
Optional advanced courses for all study tracks (0-30 cr
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)