Data Science for Global Challenges
The Bachelor of Science in Data Science for Global Challenges is a three-year, full-time on-campus program that focuses on applying data science techniques to address global development challenges. The program covers topics such as data analysis, machine learning, statistical modeling, and their application in sectors like health, education, and environmental sustainability, with a strong emphasis on research and real-world problem-solving for global development.
Graduates will be well-prepared for careers in data analysis, development research, policy analysis, and international consultancy. Wageningen University & Research provides access to state-of-the-art data science tools, interdisciplinary projects, and a solid academic framework, ensuring students gain a comprehensive understanding of how data science can drive positive change in addressing global challenges.
Key Facts
Key Facts
- Program Title: Data Science for Global Challenges
- Degree Type: Bachelor of Science
- Duration: 3 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 June 2026
- Location: Wageningen University & Research, Netherlands
- Field of Study: International Development
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Data Science for Global Challenges
• Introduction to Data Science and Analytics
• Data Ethics and Privacy
• Programming for Data Science
• Fundamentals of Global Challenges
Year 2 – Advanced Data Science Applications
• Machine Learning and Artificial Intelligence
• Big Data Analytics for Global Challenges
• Data Visualization Techniques
• Global Health and Environmental Data
Year 3 – Specialization in Data Science for Global Challenges
• Data Science for Development and Sustainability
• Data-Driven Policy Making
• Social Media and Global Data
• Research Project in Global Data Science
Career Opportunities
Graduates of the Data Science for Global Challenges Bachelor’s program can work in data analysis, global development research, and policy development. With expertise in data science, machine learning, and global challenges, graduates are prepared for roles as data analysts, policy researchers, or development consultants. This program offers opportunities in international development organizations, government agencies, and global research institutions.
Why Choose This Program
The Data Science for Global Challenges Bachelor’s program combines data science with global development to tackle pressing challenges such as poverty, inequality, and climate change. Students gain expertise in data analysis, machine learning, and predictive modeling to address global problems. The program’s focus on real-world applications ensures that graduates are well-equipped to contribute to data-driven solutions for sustainable development. Graduates are prepared to influence global policy and development initiatives.
Contact Information
For further information, please contact the admissions office at:
Phone: +31 (0)317 48 9111
Email: studentservices@wur.nl
Address: Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB Wageningen, Netherlands
