Master of Artificial Intelligence & Data Science for Frankfurt School Graduates
Master of Artificial Intelligence & Data Science For Frankfurt School GraduatesMSc
Your Frankfurt School Bachelor is a strong foundation. With the Master of Artificial Intelligence & Data Science (MSc), you can build on that experience by deepening your technical expertise, strengthening your analytical profile and preparing for career opportunities at the intersection of business, data and AI. By continuing at Frankfurt School, you can stay connected to a network, learning environment and employer community you already know, while developing the skills needed to shape data-driven decisions and AI-enabled solutions.
Degree
Master of Science (MSc)
90 ECTS
Language
English
Duration
Full-time | 3 Semesters
Tuition Fee
€26,625*
+ €600 enrolment fee, €100 application fee
(Alumni discount is included)
Application Deadline
30 June 2027
Start Date
23 August 2027
Your Frankfurt School Bachelor is a strong foundation. With the Master of Artificial Intelligence & Data Science (MSc), you can build on that experience by deepening your technical expertise, strengthening your analytical profile and preparing for career opportunities at the intersection of business, data and AI. By continuing at Frankfurt School, you can stay connected to a network, learning environment and employer community you already know, while developing the skills needed to shape data-driven decisions and AI-enabled solutions.
- 3-Day Model, gives you the flexibility to combine your full-time Master’s studies with part-time work or professional experience.
- Build on your Frankfurt School Bachelor experience while developing advanced skills in artificial intelligence, data science and business applications.
- Strengthen your profile through a curriculum that combines technical foundations, business integration, ethics and practical application.
Application Process
Apply Online
Document Review
Interview
Decision
Admission Requirements
To apply for the Master of Artificial Intelligence and Data Science programme, applicants must meet certain academic requirements. An application fee of €100 applies.
Please note: The Frankfurt School Admission Test (BT Methods) can only be taken once.
- First academic degree (Bachelor) of at least 180 ECTS credits
- Strong quantitative and analytical skills (through high scores on GMAT, GRE or FS tests, a STEM degree or other evidence)
- Valid GMAT/GRE score or Frankfurt School Admission Test (BT Methods). This requirement can be waived for Frankfurt School Bachelor graduates with a GPA of 75% or higher.
- Successful admissions interview
Curriculum
Quantitative Fundamentals
Algorithms & Data Structures
Introduction to Data Analytics
Computational Statistics & Probability
Introduction to Accounting
Quantitative Fundamentals
Algorithms & Data Structures
Introduction to Data Analytics
Computational Statistics & Probability
Introduction to Accounting
Databases & Cloud Infrastructure
Machine Learning 1
Guided Studies in Financial Management
Machine Learning 2
AI & Humanity: Ethics of Data Science
Databases & Cloud Infrastructure
Machine Learning 1
Guided Studies in Financial Management
Machine Learning 2
AI & Humanity: Ethics of Data Science
Machine Learning Operations
Generative AI & Agentic Systems
Machine Learning Operations
Generative AI & Agentic Systems
Master Thesis
Master Thesis
LEARNING GOALS
Graduates will have an in-depth knowledge and a critical understanding of the key theories, principles and methods in Data Science. They will be able to identify, analyse and evaluate complex data problems.
Graduates will have the ability to construct and critically assess computational, data-driven models to solve complex data problems in business.
Graduates will be able to communicate effectively in academic and/or private business contexts. They will formulate technical problem solutions and represent them in discourse. They are responsible team members who address and reflect different perspectives.
Graduates are practised collaborators in business environments. They have a thorough understanding of their ethical and legal responsibilities as applied data scientists. They will base their professional activities on theoretical and methodological knowledge.
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Brochure
Would you like to learn more about the Master of Artificial Intelligence & Data Science? Simply fill in the form and receive our detailed brochure with all the information about the programme, its structure, and your career opportunities.
FAQ ABOUT MASTER OF ARTIFICIAL INTELLIGENCE & DATA SCIENCE
If you enjoy working with numbers, solving problems, and want to future-proof your career, a Master of Artificial Intelligence and Data Science is a smart investment. The demand for data experts is growing fast, and companies are looking for people who can turn data into actionable insights.
With a Master of Science of Artificial Intelligence and Data Science, you can work as a data scientist, data analyst, machine learning engineer, or business intelligence expert. You’ll help companies make smarter decisions using data – whether it’s in finance, healthcare, tech, or even sports. It’s a highly versatile degree with strong demand across industries.
Frankfurt School Bachelor graduates may be eligible for a GMAT/GRE waiver if they have achieved a GPA of 75% or higher. If you meet this requirement, you do not need to submit a GMAT or GRE or our internal test score as part of your application.
The 3-day model means that classes are concentrated into three days. Our students have classes two business days and one Saturday, letting them work part-time while studying full-time.
If you completed a Bachelor of Science at Frankfurt School, the English language test requirement can be waived. This means you do not need to submit an additional English test as part of your application.
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Ready to apply?
We look forward to receiving your application via our application portal. Our recruitment team is happy to assist should you have questions.
