Our students will master core data science and machine learning concepts, as well as the art and science of problem decomposition and solving. They will be able to identify business needs and wants, as well as problems, and propose relevant solutions using machine learning tools and by applying sophisticated statistical techniques. To do this, they will collect, transform and visualize data, create data models, as well as run predictions and simulations.
Our Master in Applied Data Science graduates will have expert knowledge in data science, be able to analyse, structure and evaluate complex economic problems, and be able to conceptualise and develop data science products and solutions. They will be effective and responsible team members and data science professionals, who recognise and respect the personal and cultural differences in an international environment.
In a nutshell: The Frankfurt School of Finance & Management Master in Applied Data Science Programme provides the skills required to recognise and meet the data science wants of contemporary business, across-function and with an understanding of the connected ethical ramifications.