Overview
Gain the expertise required to apply AI and machine learning to real environmental challenges, ground your technical work in genuine climate literacy, and build solutions that respect the systems they touch.
From machine learning and data science to climate science, circular economy, and planet-centric innovation, Tomorrow University's Bachelor of Science in AI & Sustainability is designed for purpose-driven individuals looking to lead with technical depth and environmental responsibility, helping organizations turn climate complexity into clear, honest action.
Key Features
Use machine learning, data analysis, and climate literacy to build an impact-driven career at the intersection of AI and sustainability.
This Bachelor of Science in AI & Sustainability provides an in-depth exploration into applied machine learning, environmental science, and planet-centric innovation, and their responsible use in real-world climate contexts.
With a focus on technical depth paired with ecological understanding, this program covers regression, classification, and clustering alongside environmental science, nature-based solutions, and circular economy thinking. Mathematics, statistics, and systems thinking form the foundation of the curriculum, enabling learners to design AI solutions that hold up against real planetary stakes.
Learners develop the skills to build climate-focused AI solutions and communicate insight that others can trust and act on. Build your portfolio as you navigate our challenges, and be ready for a career applying AI where the planet needs it most.
Discover Your Impact
Make a real impact. By joining this Bachelor of Science in AI & Sustainability, you'll be part of a community of learners from around the world who are dedicated to applying technology responsibly in service of environmental progress. Network with like-minded professionals and connect directly with industry leaders and experts. The program is designed with flexibility in mind, with all course discussions taking place online.
Change Through Challenge
Tomorrow University's challenge-based learning model ensures you gain essential skills that are crucial and transferable across climate-tech and data career paths. You'll progress at your own pace, deepening your understanding and showcasing your capabilities through real-world projects. These are key building blocks in your learning journey, leading to a dynamic competency tracking system where you can monitor your growth in real time.
Why study with Tomorrow University of Applied Sciences?
At Tomorrow University, the mission is not just to prepare learners for future challenges but to empower them to redefine the future itself. With a revolutionary approach to education, the university offers accessible, high-quality, and flexible learning experiences. State-recognized in Germany and ranked among the top innovators in leadership education by the World University Rankings for Innovation, Tomorrow University leads at the forefront of innovative education for sustainable development goals.
Accreditation
Tomorrow University is a fully-accredited, state-recognized University of Applied Sciences.
Programme Structure
Program highlights
- Interdisciplinary Learning: Dive into specialized coursework that bridges machine learning, climate science, planet-centric innovation, and responsible technology, preparing you for the forefront of climate-tech work.
- Real-World Impact Projects: Engage in hands-on projects that apply AI and data science to tackle real environmental challenges with industry partners.
- Systems-Level Focus: With a focus on both technical rigor and ecological context, learn to build AI solutions that hold up against real planetary stakes and find new ways to help organizations act on climate data responsibly.
21st Century skills
Using a challenge-based learning model, learners develop key 21st-century competencies. According to the World Economic Forum, these skills are crucial for the future job market:
- Technological Literacy
- Self-Empowerment
- Entrepreneurial Spirit
- Sustainability Thinking
- Social Intelligence
- Cognitive Proficiency
Key information
Duration
- Part-time
- 36 months
- Flexible
Start dates & application deadlines
Intakes start 4 times a year, with rolling admissions. See our website for current start dates.
Language
Credits
Delivered
- Semi-structured
- Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Campus Location
- Frankfurt am Main, Germany
Disciplines
Artificial Intelligence View 5 other Bachelors in Artificial Intelligence in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Fill out our web-form or reach out to the team to learn if you're eligible for our program.
- Submit a video or a paragraph outlining your personal mission statement and motivation for joining the Bachelor's Degree Program.
- We have a look at your application and background to get to know you better.
- You’re invited to attend an admissions interview with us.
- If you pass the admissions interview, we ask you to share some information and documents.
- If approved, you’ll sign an admissions contract and send your initial tuition down-payment.
Tuition Fees
-
International Applies to you
Applies to youNon-residents486 EUR / module≈ 486 EUR / module -
Domestic Applies to you
Applies to youCitizens or residents486 EUR / module≈ 486 EUR / module
Additional Details
From 486 EUR/month (17,500 EUR total) or 15,500 EUR upfront. 180 ECTS, 3 years. Scholarships and regional grants up to 8,000 EUR available.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Bachelor's scholarship opportunities for Bachelor of Science in AI and Sustainability.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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