A 2-year Master's study programme in Ecology has started in 2019 and extended the successful Quantitative Ecology Module lead by prof. Jan Lepš since 2011.
Students are trained in modern ecology research. The courses are focused on ecological theory and analysis as well as interpretation of ecological data using modern computational approaches. The strongest emphasis is on interactions among organisms and interactions of organisms with their environment, and consequences for the populations and functioning of communities. The workload is about five courses per semester.
Strong emphasis is laid on the students' own research; almost half the credits are awarded for a research project to be conducted throughout the entire two years of study, and will be the basis of the Master Thesis. The best projects will likely be published with the student as the first author. The lecturers and Thesis supervisors lead high-quality research, often in close collaboration with Biology Centre of the Czech Academy of Sciences.
Students will develop their critical thinking, acquire strong statistical foundations, excellent field skills, learn how to present their research or how to write successful grants. In addition, several field trips and practical-nature-conservation courses are included, broadening the experience and skills of the student. Graduates will be ready to pursue a PhD in Ecology at any university or research institute around the world.
Applications open: July 2022
Application deadline: 31 October 2022
Study start: February 2023
Study duration: 2 years
Study fee: 500 CZK per year + application fee 500 CZK
(500 CZK is approximately 20 EUR or 22 USD)
New students are admitted twice a year with usual application deadlines around mid May (start of study in mid September) and end of October (start of study in mid February).
Dear visitors, we have just launched the new website of the University including all faculties, departments and constituent parts. You can still access the old version before you get used to the new website.