Bachelor of Science in AI & Sustainability
Fact sheet
Graduation
Bachelor, Bachelor of Science (B.Sc.)
Taught language
Deutsch, Englisch
Specialization
Technologie
Program Emphasis
Artificial Intelligence, Sustainability
Course options
Berufsbegleitendes Studium, full-online
Locations
Online
Designed for people who want to use AI in service of real environmental progress
You are interested in AI and machine learning, but also care deeply about where those tools are applied, what they can change, and who they affect. One of the worlds first programs in AI and Climate Science helps you build the technical depth, climate understanding, and honest judgment to contribute meaningfully, while deepening how you think, question your assumptions, and take responsibility for the systems your work touches.
- Aspiring Sustainability Data Analysts
You want to build the foundations for roles that turn climate and environmental data into clear insights, honest reporting, and practical next steps that create real impact. - Data Practitioners moving into Climate Work
You already have some exposure to analytics or coding and want to apply machine learning more effectively in environmental and sustainability contexts. - Purpose-Driven Tech Innovators
You want to use AI in ways that respect complexity, support better choices, and stay grounded in long-term environmental responsibility, knowing that how you build matters as much as what you build. - Mission-Driven Career Changers
You are finding your path and want a structured way into climate-focused tech work, with learning designed to build both competence and purpose.
Program Emphasis
- Build Strong Data and AI Foundations
Build confidence through statistics & data analysis, math foundations for AI and data structures & algorithms so you can work with data in a structured, reliable, and honest way. - Apply Machine Learning to Environmental Challenges
Practice the methods behind forecasting, pattern detection, and decision support so you can apply machine learning to climate and sustainability challenges with both confidence and care. - Ground your work in Real Environmental Context
Build the climate literacy needed to apply AI meaningfully. Explore Foundations of climate science, nature-based solutions, and circular economy to understand the systems your technical work is meant to support. - Build Responsibility into every System
Study systems thinking for sustainable development, science-based sustainable management, and planet-centric thinking to make choices that are thoughtful, transparent, and grounded in real-world impact on people and planet.
Requirements / Application
- Applicants must provide a secondary school leaving certificate. For those with a German certificate, including Abitur or Fachhochschulreife, the verification is done in-house. For non-German certificates, the verification is completed via a ministry check or entrance exam.
- Proof of English proficiency at a minimum B2 level is required. While certificates are preferred, this requirement can be waived if English is the applicant’s native language or if they have completed a degree program taught in English.
- Applicants must demonstrate their motivation through the application form and during the admission process.
- An admission interview is mandatory and is used to assess the applicant’s eligibility and alignment with the program.
- Applicants must be able to attend mandatory evening course discussions, which are scheduled at 6 PM CET. Accommodations for other time zones are currently limited until there is a critical mass of learners in those regions.
- Adherence to ToU’s community guidelines, which emphasize a spirit of service, is required. This is assessed during the admission process, including the interview.
- A letter of motivation must be submitted to explain the applicant’s reasons for joining the program. If an applicant has participated in a company-sponsored challenge (e.g., Deutsche Bank), they may be exempt from submitting the letter but must still demonstrate their motivation during the interview.







