Master of Science in Data Science & Machine Learning
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
Deutsch, Englisch
Specialization
Technologie
Program Emphasis
Data Science, Machine Learning
Course options
Berufsbegleitendes Studium, full-online
Locations
Frankfurt am Main, Online
A curriculum built around data science, data management, and machine learning
As the amount of data grows, impact no longer comes from access alone, but from how consciously it is used. This Impact MSc develops your ability to work with complex datasets, choose appropriate models, and communicate insights clearly and responsibly.
- Learn the Data Science Foundations
Understand how data science creates value, which tools to use when, and how different methods influence decisions and outcomes. - Master the Applied Machine Learning Foundations
Build, evaluate, and iterate on machine learning models, including regression, classification, and clustering. - Apply Advanced ML Techniques Confidently
Explore neural networks, time series forecasting, and natural language processing in real-world contexts. - Manage & Communicate Data Effectively
You want to transition into data science or ML roles with an applied focus and a strong sense of responsibility for real-world outcomes.
Requirements / Application
- 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
September 14, 2026
