Master of Science with Le Wagon (AI, Tech & Sustainability)
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
Deutsch, Englisch
Specialization
Technologie
Program Emphasis
Artificial Intelligence, Sustainability, Technology
Course options
Berufsbegleitendes Studium, full-online, full-time study
Locations
Frankfurt am Main, Online
Your Toolkit for Transformative Tech Leadership
Our expertise in sustainability and innovation combines seamlessly with Le Wagon’s strength in tech, coding, and data. Together, we empower you to build the skills and mindset needed to launch your dream career in the ever-evolving world of technology.
A Curriculum To Boost your Impact
Le Wagon bootcamps are intensive, hands-on programs designed to prepare you for tech careers in weeks. Bootcamps prioritize practical skills, collaborative projects, and career support, making them ideal for a fast, confident leap into the tech industry.
Join a global community of 27,000+ alumni, gain industry-ready skills, and access top career opportunities through flexible, impactful programs recognized worldwide.
Le Wagon Bootcamp Selection
In today’s fast-moving tech landscape, specialization is key. During the Calibration Phase, you’ll choose your hands-on focus area through one of Le Wagon’s world-class bootcamps, designed to match your career goals and skill needs. Whether you’re looking to master data, build AI-driven apps, or drive growth through marketing, these immersive programs prepare you with real-world tools, team projects, and practical impact. Below are bootcamp options offered by Le Wagon that integrate seamlessly into your Tomorrow University learning journey:
- 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.
Requirements / Application
- In order to be eligible for the different Bootcamps the following is required:
- A quiz to assess your current skill level
- An online prep course to ensure you're ready to begin
- The Data Analysis & AI track additionally requires prior knowledge of Python, mathematics, and statistics
- 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, completed over a standard study period of at least six semesters.
- Applicants for the 120 ECTS MSc in Sustainability, Innovation & Technology must have an undergraduate degree with at least 180 ECTS or equivalent credit points, completed over a standard study period of at least six semesters.
- 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 according to the European Framework of Reference for Languages.
- Motivation must be shown through the application form and will be further assessed during the admission process.
- An admission interview is mandatory to evaluate eligibility and alignment with the program.
A previous undergraduate university degree is required to apply. Although applicants without a degree but with vocational training and relevant professional experience may sometimes be eligible for special entrance exams, this does not apply to this program. Therefore, we cannot accept applications without a completed university degree.
Policy on ECTS Credits and Graduation Requirements
- To graduate with the MSc, learners must achieve a total of 300 ECTS by the end of the program.
- Learners with a 180 ECTS bachelor’s degree enrolling in the 120 ECTS MSc will meet the requirement naturally.
- Learners with a 210 ECTS bachelor’s degree enrolling in the 90 ECTS MSc will also meet the requirement.
- In rare cases, learners with a 180 ECTS bachelor’s degree seeking the 90 ECTS MSc may have 30 ECTS credited from professional experience to reach the required 300 ECTS. This is strongly discouraged in favor of the 120 ECTS program.
- Professional experience must be relevant to MSc subjects, involve at least two years of full-time work, and may include sustainability, innovation, or technology-related roles.
Important Dates
23 March 2026
08 June 2026
14 September 2026
