Certificate in Environmental Data Science

blended course

The Certificate in Environmental Data Science is an innovative program designed to combine the power of data science and artificial intelligence with the need to address global environmental challenges. Applying machine learning techniques to environmental issues is central to the program's objectives. This approach equips participants with specialized skills in this niche area and allows them to learn competencies applicable across various disciplines.

The structure of the program is carefully crafted, encompassing core components such as an introduction to environmental data science, environmental data exploration and visualization, machine learning, geospatial analysis and applications, culminating in an environmental data science project.

Course leader

Dr. ROBERT POLDING - ACADEMIC DIRECTOR
PhD & MSc in Information Systems, BSc (Hons) in Media Science. Research: e-commerce, web apps, RFID, mixed reality, databases. Lecturer in database design, MIS, project management, programming, big data.

Target group

For current undergraduate students or recent graduates interested in leveraging data-driven insights for informed decision-making and exploring the potential of mastering data and AI to tackle environmental issues. This journey involves enhancing analytical skills through exploring data cleaning, analysis, visualization, and machine learning techniques.

Course aim

Address Global Environmental Challenges: Provide students with the tools to use data science and AI to directly tackle global environmental issues, fostering positive impact.

Develop a Comprehensive Skill Set: Equip students with a diverse range of skills in data and AI applications tailored to environmental challenges, including data cleaning, analysis, visualization, and machine learning, enhancing versatility across disciplines.

Specialize in Geospatial Analysis: Focus on geospatial analysis to provide students with specialized skills in understanding spatial patterns, enabling precise solutions to environmental issues.

Offer Hands-On Learning: Provide students with a hands-on educational experience through face-to-face courses covering practical aspects like data organization, ensuring practical skills development.

Prepare for Diverse Career Paths: Prepare graduates for various roles such as Data Scientists, Environmental Analysts, or Machine Learning Practitioners. Engagement with the Climate and Energy Lab enriches training, offering a unique blend of environmental science and data science expertise for meaningful careers.

Fee info

EUR 5900: Lectures and courses