Drive data-driven sustainability initiatives with our Master of Science program in Data Science for Sustainable Development.
Learn to analyze sustainability data and develop data-driven solutions to create impactful outcomes. This program equips you with practical skills and specialist knowledge needed in data science and machine learning to effectively address environmental and social challenges.
Learn from leading experts through hands-on projects with real-world applications.
Easily balance work and study with our flexible online program, aligning your education with your unique purpose and needs through our personalized curriculum.
Gain essential skills for understanding and utilizing data effectively. Learn core concepts and ethical considerations across various fields. Master data collection, cleaning, and organization methods, and discover statistical techniques for analysis and visualization. Develop programming proficiency in languages like Python and storytelling skills to communicate data insights clearly and compellingly.
Harness the transformative power of machine learning with hands-on experience in building real-world solutions. Understand key concepts and differentiate between algorithms. Evaluate algorithm suitability for specific problems and utilize essential tools and libraries like scikit-learn and TensorFlow. Perform data pre-processing and train models using real-world datasets.
Gain competencies to innovate with technology in sustainable ways. Focus on the future with an emphasis on environmental protection and creating a more equitable society. Learn to develop and maintain sustainable principles and practices that drive environmental and social equity. Explore strategies for integrating sustainability into innovation and technology.
The future demands leaders who can seamlessly integrate sustainability, innovation, and technology to address complex global challenges by driving advancements that benefit both society and the environment.
Develop predictive models and apply machine learning techniques to solve sustainability challenges.
Gain expertise in data science fundamentals, advanced statistics, and sustainability analysis.
Engage in hands-on projects, learning from leading data scientists and sustainability professionals.
Explore interdisciplinary approaches, focusing on data-driven solutions for environmental and social impact.
Enhance career opportunities as a data scientist, sustainability analyst, or machine learning engineer by mastering data science for sustainability.
Our partnership with Fraunhofer Ahead, the Deep Tech Accelerator of Fraunhofer grants our learners access to a variety deep technologies, fostering invaluable mentor-student relationships and enabling the application of academic knowledge in real-world contexts through group challenges, internships, and research projects.
We partner with the Technical University of Darmstadt (ise) on a research project titled, "The Role of AI Literacy for Human-AI Collaboration." Master's learners will help develop educational AI tools, TocoAI, to improve AI literacy among diverse learners. This collaboration aligns our curriculum with the latest technological advancements and robust scientific principles.
Take the next step and start your application today.
Secure your spot and make the most of our Early Bird deadline!
Upon successfully completing the the Impact Degree in GreenTech, you'll receive a digital certificate that can be shared with your personal and professional networks.
Through our remote-first Master of Science program you’ll learn the 21st-century competencies needed to stand out and accelerate your career.
Speaker sessions, sponsored projects and networking opportunities with industry experts, disruptors, and leaders .....