Data Science for Sustainability

    Your path to a sustainable future!

    Key data

    Degree
    Bachelor of Science FHNW in Data Science
    ECTS points
    180
    Study start
    Spring and Autumn Recommended application deadline for autumn semester: 31 May 2025
    Studying mode
    Flexible and individual. Full-time and Part-time.
    Teaching language
    German / English
    Place
    Brugg-Windisch

    Mobile navi goes here!

    This field of study is a specialization within the Data Science program. Enroll in the Bachelor's program in Data Science and you will automatically have access to this field of study.

    Why Data Science for Sustainability?

    Imagine you can not only develop artificial intelligence and analyze data, but also actively do something for the planet. This is exactly what “Data Science for Sustainability” offers. You will become a fully-fledged data scientist while also learning how to tackle sustainability issues and develop solutions for urgent environmental and social problems.

    Whether energy efficiency, resource conservation or climate protection: you will work on concrete projects that show how modern analysis techniques support the transition to a more sustainable world. By combining data-driven insights and an understanding of ecological and social interrelationships, you will acquire sought-after skills that will not only benefit you professionally, but with which you can contribute to a better future.

    The new “Data Science for Sustainability” degree program at the FHNW offers you a unique combination of state-of-the-art data science methods and a sound understanding of sustainability. You will be perfectly equipped for a future in which sustainable technologies and data-based innovations are crucial.

    What can you expect from this degree program?

    “Data Science for Sustainability” is fully embedded in the curriculum of the Data Science degree program. You will acquire all the data science skills required for data-driven analysis, machine learning and the development of digital solutions. In addition, you will specialize in the application of data science in the field of sustainability and expand your competence profile with the following skills:

    • Data analysis & modeling for climate protection, energy efficiency and sustainable cities
    • Sustainability reporting and regulatory standards (e.g. ESG frameworks, SDGs, CO₂ tracking)
    • Systemic thinking to evaluate and optimize sustainable solutions
    • Interdisciplinary collaboration with experts from environmental sciences, business and technology

    How will you learn?

    This degree course offers maximum flexibility and individualization - both regarding your learning path as well as regarding content. Whether you prefer a structured approach or independent learning by completing practical projects, we offer you the right environment.

    Structured and passionate
    Joe is passionate about Green IT and likes to learn with a structured approach. Over several semesters, he acquires sustainability skills in a self-directed manner in modules and a challenge on the topic of Green IT.

    Practical learning with challenges
    Sam is interested in climate modelling. He acquires many skills in the course's practice-oriented challenges and works in interdisciplinary teams to predict CO₂ emissions. In independent research projects and interactive workshops, he learns to analyze complex systems and develop data-based solutions.

    Flexible learning for entrepreneurial solutions
    Annie combines her studies with her own sustainable mobility start-up enterprise. She integrates real data into her projects, models traffic systems for cities and uses open learning to acquire competencies individually and practically. Her learning journey is characterized by networking, her own initiatives and direct transfer into practice.

    Your career opportunities after graduation

    • Sustainability Data Analyst:
      Analyze and optimize business processes for greater sustainability.
    • Machine Learning Engineer for environmental solutions:
      Operationalize AI models to predict climate data.
    • Sustainability Consultant:
      Support companies in the data-based implementation of sustainable business models.
    • Energy Data Specialist:
      Optimize energy efficiency with intelligent data analysis and AI
    • Data Scientist for NGOs:
      Use data science for environmental protection and social justice.

    Become part of a strong community!

    Our community is at the heart of this degree program. We connect students, coaches, companies and NGOs to exchange knowledge, share experiences and work together on innovative solutions.

    • Students:
      Make contacts, exchange ideas and work in teams on practical projects.
    • Coaches:
      Receive support from experienced mentors who will guide you on your journey.
    • Companies & NGOs:
      Benefit from direct access to partners who bring real challenges from the field and work with you on sustainable solutions.

    Our community organises regular networking events, hackathons and workshops that offer you valuable insights and contacts.

    Base Degree Programme

    Loading

    Further Computer Science Degree Programmes

    Loading

    The main images on the School of Computer Science website were generated using Artificial Intelligence.
    Our visual identity represents a cooperation between computer science and art, using various AI tools to generate images that transcend physical limitations.
    The School of Computer Science will continue to explore and advance the interface between computer science and art.

    FHNW School of Computer Science, Brugg-Windisch

    FHNW University of Applied Sciences and Arts Northwestern Switzerland
    School of Computer Science

    Bahnhofstrasse 6

    CH - 5210 Windisch