AI in FinTech Bachelor Application Deadlines

AI in FinTech Bachelor Programs in Germany: Application Deadlines (2026/27)

AI in FinTech Bachelor: Deadlines

AI in FinTech Bachelor: Deadlines

Studying AI in FinTech in Germany is a great choice because the country combines a strong financial sector with advanced AI research and a highly regulated, trust-focused digital economy. You’ll learn how artificial intelligence is used in areas such as fraud detection, risk management, algorithmic trading, and personalized financial services, while working within strict data protection and compliance standards. With Germany’s growing fintech ecosystem and close links between academia, banks, and technology companies, it offers an ideal foundation for careers in financial data science, fintech innovation, and AI-driven financial services.

AI in FinTech Bachelor: Application Deadlines for Summer Semester 2027

Below are the most frequent application deadlines for AI in FinTech Bachelor programs for the Summer Semester 2027.

German Students
Other EU Students
Non-EU Students
Admission-restricted courses Admission-free courses Still open for application
Bachelor No courses28 February100% of Bachelor programs
Bachelor
Admission-restricted courses
No courses
Admission-free courses
28 February
100% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually.

AI in FinTech Bachelor: Application Deadlines for Winter Semester 2026/2027

Below are the most frequent application deadlines for AI in FinTech Bachelor programs for the Winter Semester 2026/2027.

German Students
Other EU Students
Non-EU Students
Admission-restricted courses Admission-free courses Still open for application
Bachelor No courses30 September0% of Bachelor programs
Bachelor
Admission-restricted courses
No courses
Admission-free courses
30 September
0% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually.

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