Overview

The Environmental Data Science programme from Czech University of Life Sciences Prague offers a balanced mix of theoretical knowledge and practical skills. Our curriculum is designed to provide a robust foundation in environmental science while integrating cutting-edge data science techniques, preparing you for a successful career in this emerging field.

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.

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Programme Structure

Courses included:

Algorithm development

Data manipulation and visualisation in R

Geographic Information Systems
Statistics

Earth system sciences
Productivity tools

Programming in R

Meteorology and climatology

Programming in Python

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Key information

Duration

Full-time
- 36 months

Start dates & application deadlines

Starting 2027-09-29 00:00:00
- Apply before 2027-03-31 00:00:00

Language

English

Credits

180 ECTS

Delivered

On Campus

Campus Location

Prague, Czech Republic

Disciplines

Data Science & Big Data Environmental Sciences

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Applicants will provide a high school diploma or certificate (in Czech or English) through the e-application; applicants who will complete their high school education after the application submission deadline will submit a confirmation from their high school with the expected date of completion of the studies.

Official translation of documents is required. Authentication is not needed for admission purpose.

The applicant who has not finished high school by September will be required to submit a declaration/confirmation from his/her High school (no special requirement for the form of the declaration/confirmation).

General Academic Prerequisites (GAP) test is an important part of the admission procedure ensuring objective evaluation of applicants’ skills.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

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Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Faculty of Environmental Sciences and/or in Czech Republic, please visit Student Insurance Portal.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

37500 CZK / year

≈ 37500 CZK / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

12500 CZK / year

≈ 12500 CZK / year

Additional Details

EU: 12,500 CZK per year (approx 500 EUR)

Non EU: 37,500 CZK per year (approx 1,500 EUR)

Living costs

Prague

Czech Republic

15441 - 26241 CZK / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Environmental Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Why Choose Environmental Data Science?

Career Prospects

Curriculum Highlights

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Student Insurance via Studyportals Partner

Make sure you meet all requirements

Tuition Fees

International Applies to you

EU/EEA Applies to you

Additional Details

Living costs

Prague

Funding

Check for any work restrictions

Need help with your student visa?

Scholarships Information

Available Scholarships

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