Why Choose Environmental Data Science?
- Interdisciplinary Approach: Our curriculum seamlessly integrates environmental science and data analytics, offering a comprehensive education that covers both domains.
- Practical Experience: Emphasis on hands-on learning through labs, fieldwork, and projects ensures you gain real-world experience.
- Expert Instruction: Learn from faculty members who are leaders in their fields, bringing their research and professional expertise into the classroom.
- Modern Facilities: Utilize our state-of-the-art laboratories and advanced software to enhance your learning experience.
- Career Preparation: Develop in-demand skills such as data analysis, programming, and environmental modeling, making you an attractive candidate for various employers.
Career Prospects
Graduates are well-prepared for careers in:
- Environmental consulting
- Government and public agencies
- NGOs
- Research institutions
- Tech companies focused on environmental solutions
Curriculum Highlights
- Algorithm Development: Master the basics of creating and optimizing algorithms.
- Geographic Information Systems (GIS): Learn to analyze spatial data and create detailed maps.
- Programming in R and Python: Build proficiency in essential programming languages for data analysis.
- Machine Learning: Discover the applications of machine learning in environmental contexts.
- Big Data Analysis and Cloud Computing: Explore techniques for managing and analyzing large datasets.
- Hydrology and Integrated Water Resources Management: Study sustainable approaches to managing water resources amid global changes.
Program Structure
Year 1: Foundations
- Core subjects include Algorithm Development, GIS, Physical Geography, and Applied Mathematics.
- Introductory courses such as Introduction to EDS and Productivity Tools.
Year 2: Profiling courses
- Courses covering Machine Learning, Geodatabases, and Big Data.
- Specialized topics like Hydrology, Remote Sensing, and Data Collection.
Year 3: Specialization and Thesis
- Focus on a research project and thesis, supported by optional courses tailored to your interests.
Take the Next Step
Join us to become a leader in environmental data science. With a carefully designed curriculum, experienced faculty, and modern facilities, the Czech University of Life Sciences Prague offers an ideal environment for your studies.
![](/cache/article-data/FES/programmes/DataCamp-Horizontal-RGB.png)
In some of the courses, we use DataCamp, an online learning platform that specializes in data science and analytics. It offers a wide range of courses and interactive tutorials on various topics within data science, including programming languages like Python and R, data manipulation, data visualization, machine learning, and more.