Our Master theses

Empowering the next generation of medical data scientists

The Data Science Group Frankfurt is breaking new ground with its scientific scholarships. They are aimed at highly motivated students from a range of disciplines such as computer science, statistics, medicine, mathematics, biomedicine and medical technology. Our programmes are the crucible where academic knowledge meets practical expertise and foster the development of future innovators in medical data science. We offer a multidimensional education platform where students are encouraged to push the boundaries of conventional research and develop solutions that address real-world healthcare challenges. Accompanied by a multidisciplinary team, our students can look into different professional fields and are encouraged to improve professional expertise and soft skills like conceptualisation, communication, and management.

For example, Lea Grebe is currently working on transformative projects that exemplify the confluence of multiple disciplines. Lea’s venture into non-invasive, EEG-assisted Brain Computer Interfaces (BCIs) paves the way for enhanced patient communication. By harnessing the power of brain signals via advanced EEG technology, she seeks to decode and translate thought into communication, offering patients newfound independence. The Unicorn Hybrid Black EEG cap and the sophisticated Unicorn Suite and Unity Interface are the tools driving this research, underscoring our commitment to cutting-edge solutions for patient communication.

Bingxin’s objective is threefold: to develop a real-time data recording program from patient monitors, to craft a user-friendly interface for data selection and display, and to implement a structured format for data storage, which lays the groundwork for exhaustive future analyses. The project leverages the Model-View-Controller architecture, ensuring efficient data handling, visualisation, and user interaction. This initiative not only stands to revolutionise data management in ICUs but also highlights the transformative potential of open-source technology in healthcare settings. Both projects are representative of our master programs’ emphasis on innovation, patient-centric research, and the application of big data analytics to improve healthcare outcomes.

Follow our progress and explore the impact of our master programs as we continue to advance the field of medical data science. If you’re a student in related fields, driven by the desire to make a significant contribution to healthcare innovation, we encourage you to apply and join us in this exciting scientific endeavour.