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Deutsch Who benefits from the Master in Artificial Intelligence & Data Science?
The master’s programme is aimed at graduates with a strong quantitative background who aspire to a career in the field of Artificial Intelligence and Data Science. It is especially targeted at applicants with completed studies in mathematics, computer science, engineering, physics or related subjects, who think analytically and enjoy complex data problems. The programme is ideal if you want to master data-related challenges in business, technology or research.
What formal requirements apply?
To be admitted to the Master of Artificial Intelligence & Data Science at Frankfurt School of Finance & Management, you must meet the following requirements:
- First academic degree (bachelor’s or equivalent) with at least 180 ECTS credits
- Proof of quantitative-analytical skills – for example through good results in the GMAT, GRE or the internal Frankfurt School Admissions Test (BT Methods), a completed degree in a STEM field or equivalent proof
- Very good English skills (at least TOEFL 90 iBT, IELTS 7.0 or equivalent); an English-language first degree can replace the test
- Valid GMAT/GRE result or passed Frankfurt School Admission Test (BT Methods)
(The test can only be taken once) - Successful participation in the selection interview (online interview)
- Payment of the application fee (€100)
On a personal level, you should have analytical thinking skills, perseverance and a strong willingness to solve problems. You should enjoy teamwork, complex issues and digital technologies and be able to act independently and responsibly. Practical experience in the IT or data environment is helpful but not mandatory. Motivation and the ability to familiarise yourself with demanding topics are essential.
What content can you expect in the Master’s programme in Artificial Intelligence & Data Science?
In the Master’s degree programme Artificial Intelligence & Data Science (MSc) at the Frankfurt School of Finance & Management, you will learn how to develop data-driven solutions to real economic challenges. The course content is structured into four central pillars:
- Technological Competence: You will acquire in-depth knowledge in artificial intelligence, machine learning, statistics and cloud computing. The aim is to analyse complex data sets and develop innovative models.
- Business Process Integration: You will gain insights into how data analysis supports business decisions and sustainably improves corporate performance.
- Ethics & Law: The programme addresses ethical and legal questions concerning the use of artificial intelligence and data science, enabling you to act responsibly.
- Company Cooperation Project: Within the framework of a practical project, you will collaborate with leading companies and apply your knowledge to real-world use cases.
During your studies you will develop the following skills:
- Analysis and modelling of complex data-related issues
- Development and evaluation of data-driven solutions across various industries
- Critical assessment of current AI technologies and their application possibilities
- Clear communication and presentation of technical solution approaches within teams and to stakeholders
- Reflection on and application of ethical standards in the context of AI and data science
How is the programme structured and organised?
The MSc Artificial Intelligence & Data Science is designed as a four-semester full-time course (120 ECTS) taught entirely in English. The Frankfurt School employs an innovative 3-day model:
- Course days: Classes take place on two weekdays and Saturdays. This enables you to gain practical experience through internships or part-time jobs alongside your studies.
- Curriculum structure: You start with a solid foundation in methodological and technical training and later deepen the integration of these skills into business processes.
- Practical project in the third semester: For 3–4 months, you work on a real company project, applying the methods learned from analysis to practical solution implementation.
- Personal development: The Entrepreneurship Accelerator, Incubator and individual mentoring support your start-up or career ambitions.
- Diversity among students: In the 2025 cohort, the average age is 26 years and students come from up to seven nations.
What career opportunities do you have after graduation?
Graduates are in demand in almost all industries. Proven successes are shown by current labour market statistics:
- 92 % of graduates find employment within three months after graduation.
- Average starting salary: €80,500 (including bonus) for the class of 2024.
- Industry distribution:
- 31 % work in the energy sector
- 23 % in banking
- 15 % in financial services, 15 % in the FMCG sector
- 8 % in consulting, 8 % in IT
- Typical positions:
- Data Scientist or Data Analyst
- Machine Learning Engineer
- Business Intelligence Expert
- Consultant
- Research, operations & controlling, asset management
- Over 85 % of graduates start their careers in Germany; a global career network is in place.
In addition, those interested in founding companies are supported by the Entrepreneurship Accelerator and through partnerships with companies.
How are costs and financing options structured?
The total costs for the Master’s programme amount to €35,500 in tuition fees. In addition, a one-time enrolment fee of €400 and an application fee of €100 apply.
- Early Bird Discounts: You can save €4,000 by 30 November 2025, and still save €2,000 by 31 March 2026.
- Scholarships: The Frankfurt School offers a variety of scholarships, including merit- and need-based programmes as well as targeted funding such as the Women Diversity Scholarship or subject-specific scholarships from companies (e.g. Proresult, FERI Group). The Proresult scholarship recipient is funded for two years, including full coverage of tuition fees and part-time practical experience.
- Deutschlandstipendium: Up to 60 places with €300 monthly, non-repayable.
- Flexible payment models: Instalment payments and student loans are possible.
The Frankfurt School supports you in finding suitable funding opportunities and provides individual advice on financial planning.
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