AI Use Cases and Agile Development in Banking
A cooperation seminar of TU Darmstadt (ISE) and ING Germany

Here you can find information about the course "AI Use Cases and Agile Development in Banking".

Supervisor Paula Jaki
Ria Saha
Daniel Stäcker
Course format Seminar
Target group Students of business informatics and business engineering
Cycle The course takes place every summer semester.
Documents The documents are freely available on Moodle.

In the summer semester 2026, the ISE department, in cooperation with ING, is offering a practice-oriented seminar that combines AI theory and AI application. Interdisciplinary teams of Bachelor's and Master's students will work on current challenges in digital banking – from ESG sentiment analysis and interactive explanation tools to voice-based banking apps.

Important Note

  • Kick-Off: April 16, 2026, 15:30-17:30 (S1|03 113)
  • Intermediate presentations: May 28, 2026, 15:30-17:30 (S1|03 113)
  • Submission of the seminar paper: July 10, 2026, 23:59
  • Final presentations: July 15, 2026 from 15:30 at ING in Frankfurt am Main

Course Content

  • Linking science and practice: developing data-driven solutions together with ING experts
  • Working on real-life challenges from the banking sector: focus on innovations in the areas of artificial intelligence (AI), explainability, sustainability and user experience
  • Collecting, analysing and processing data, e.g. from social networks, for sentiment analysis or categorization
  • Designing and developing interactive prototypes such as dashboards, visual tools or app functionalities
  • Reflecting on social and ethical implications, e.g. through ESG reference, explainable AI, data protection and user understanding

Learning Outcomes

Technical (hard skills):

  • Scientific research & data evaluation
  • Development of functioning prototypes
  • Application of current technologies (e.g. XAI, LLM, API integration)

Interdisciplinary (soft skills):

  • Teamwork & project organization
  • Presentation and discussion skills
  • Scientific writing (incl. workshop)