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.
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.
