Overview
The Joint MSc in AI, Tech and Sustainability brings together Tomorrow University’s expertise in sustainability and Le Wagon’s globally recognized tech bootcamps to prepare you for a tech career that creates meaningful change. This unique program combines cutting-edge technical training with an impact-focused approach, empowering you to develop innovative solutions for a sustainable future.
The fully accredited Master of Science offers flexibility: study remotely with a six-month part-time online bootcamp or choose a hybrid path with a two-month full-time on-site bootcamp at one of Le Wagon’s 30 global hubs. Specialize in Data Science & AI, Data Analytics, Growth Marketing, or Website Development while addressing challenges like climate change, circular economy, and green tech.
The “joint” nature of this degree reflects the collaboration between both institutions. Tomorrow University confers the official MSc degree, ensuring academic rigor and global recognition, while Le Wagon awards a certificate of completion for its immersive bootcamp.
Program Highlights
- Address grand challenges: Analyze global issues like climate change and the circular economy to develop impactful solutions.
- Build a sustainability mindset: Learn to drive systemic change through innovation and growth management.
- Gain advanced tech skills: Specialize in data analytics, AI, growth marketing, or web development through immersive bootcamps.
- Flexible learning options: Choose fully remote study or hybrid formats at Le Wagon’s global hubs.
- Real-world projects: Work on industry-relevant challenges to build a professional portfolio.
- Collaborative learning: Engage with mentors, peers, and global networks of changemakers.
- Dual expertise: Blend Tomorrow University’s sustainability leadership with Le Wagon’s hands-on tech training.
- Career-ready skills: Graduate equipped to lead in tech-driven industries and drive sustainable innovation.
5 Reasons to love our Joint MSc
Career Opportunities
Graduates of the Joint MSc in AI, Tech & Sustainability will be equipped to pursue diverse and impactful career paths, including:
- Data Scientist: Develop advanced models to solve complex problems in climate modeling, renewable energy optimization, or health tech innovations.
- AI Solutions Architect: Design and deploy AI systems that address global challenges like resource efficiency, environmental monitoring, and green technology development.
- Web Developer: Create and manage responsive, user-centered platforms for sustainable e-commerce, civic tech, or educational initiatives.
- Growth Marketing Manager: Lead data-driven marketing strategies for purpose-driven brands, leveraging analytics to amplify social impact and sustainability campaigns.
- Data Analyst: Extract insights from large datasets to support decision-making in areas such as circular economy initiatives, urban sustainability projects, or health innovations.
- Sustainable Tech Consultant: Guide organizations in adopting AI, data science, and web technologies to meet sustainability and business goals.
- AI Product Manager: Oversee the development and launch of AI-driven tools that enhance sustainable practices in sectors like transportation, agriculture, and energy.
- Full-Stack Developer: Build end-to-end applications that facilitate green tech solutions, such as platforms for carbon tracking or waste management optimization.
- Digital Innovation Strategist: Shape transformative projects that integrate technology and sustainability for long-term organizational growth.
- Ethical AI Specialist: Ensure AI implementations align with ethical standards, focusing on transparency, fairness, and environmental impact.
About Le Wagon
Le Wagon, is the global leader in tech education, offering intensive bootcamps in Web Development, Data Science, and Data Analytics. Operating in over 40 cities across 25 countries, it provides flexible online and on-campus learning. With a hands-on curriculum focused on real-world projects and taught by industry experts, Le Wagon supports over 28,000 alumni with personalized career guidance, extensive hiring networks, and flexible financing options—making it a top choice for launching or advancing tech careers.
Accreditation
Our Master of Science program is accredited through ACQUIN, a non-profit organization association comprising over 150 higher education institutions in Europe, recognizing the rigorous quality standards mandated by Germany’s Official Accreditation Council.
Programme Structure
Bootcamps include:
- Data Analytics - Transform raw data into business-ready insights. Learn to extract, analyze, and visualize data using Python and SQL, and build automated dashboards that support strategic decisions.
- AI Software - Design and build intelligent web apps from day one. This full-stack bootcamp combines web development with real-world AI tools like ChatGPT and semantic search—equipping you to create scalable, AI-powered solutions for the future.
- Data Science & AI - Dive into AI innovation with deep learning, Python, and machine learning techniques. Work with tools like TensorFlow and Hugging Face to build data-driven AI applications for the real world.
- Growth Marketing - Build and scale performance-driven marketing campaigns. Master data-driven strategies, no-code tools, KPI optimization, and campaign building for impactful business growth.
Key information
Duration
- Full-time
- 18 months
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
Credits
We offer two distinct tracks and flexible study formats:
- 120 ECTS (24m): Ideal for candidates with a Bachelor of at least 180 ECTS. Includes two elective modules in addition to the bootcamp.
- 90 ECTS (18m): Designed for learners with at least 210 ECTS from prior education, such as an extended Bachelor or Master. Features one elective module alongside the bootcamp.
Delivered
- Self-paced, Semi-structured
- Regular optional meetings, Regular mandatory meetings
- Only feedback on assignments and exams, Continuous support with feedback on request, Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Campus Location
- Frankfurt am Main, Germany
Disciplines
Data Science & Big Data Environmental Sciences Artificial Intelligence View 15 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
n/a
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Applicants for the 90 ECTS Master of Science (MSc) in Sustainability, Innovation & Technology must have an undergraduate degree with at least 210 ECTS or equivalent credit points
- Applicants for the 120 ECTS MSc in Sustainability, Innovation & Technology must have an undergraduate degree with at least 180 ECTS or equivalent credit points
- The undergraduate degree must be in a relevant subject area, such as:
- Business, economics, or sustainability-related fields (e.g., business administration, sustainable development, entrepreneurship, or management).
- Related fields such as environmental sciences, sustainability sociology, policy, technology, computer science, AI, data science, or humanities with a sustainability focus.
- Applicants must demonstrate sufficient English language proficiency at a minimum B2 level.
- An admission interview is mandatory to evaluate eligibility and alignment with the program.
Work experience
none
Tuition Fees
-
International Applies to you
Applies to youNon-residents938 EUR / module≈ 938 EUR / module -
Domestic Applies to you
Applies to youCitizens or residents938 EUR / module≈ 938 EUR / module
Additional Details
- From 938 EUR / Month
Funding
Scholarships available.
Income Share Agreements available.
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 Master's scholarship opportunities for Artificial Intelligence, Technology 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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