The Master in Applied Data Science is a programme for young, mathematically inclined graduates who wish to build a career in data science. Building on your solid quantitative foundations, you will learn the fundamentals of data science, how to apply cutting-edge methods to solve real-world business problems and assess the ethical and legal implications of applied data science to become responsible practitioners in the field.

LG 1: Expert Knowledge and Understanding of Applied Data Science

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.

LG 2: Application of Analytical Techniques and Machine Learning Algorithms to Solve Complex Data Problems in Business

Graduates will have the ability to construct and critically assess computational, data-driven models to solve complex data problems in business.

LG3: Effective Communication and Cooperation

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.

LG 4: Professional and Responsible Behaviour

Graduates are practiced collaborators in the business environment. 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.


  • A combination of applied Machine Learning, Data Science and Business
    Problem Solving
  • Extended company projects on real-life cases in cooperation with leading companies during semester 3
  • Ethical ramifications of the fourth wave of industrialisation
  • Flexible programme structure allowing part-time employment with our 3-Day Model
  • Unlimited access to our AI Lab
  • Extensive network of cooperating companies and universities worldwide
  • Study, network and experience Life in Frankfurt
  • 120 ECTS


  • First university degree (Bachelor or Diploma) of at least 180 ECTS credits, preferably in a quantitative field
  • Excellent written and spoken English skills (TOEFL - 90 iBT, 577 ITP / IELTS 7.0 or equivalent)
  • GMAT/GRE score or Frankfurt School Admission Test/BT Methods Test
  • Successful participation in our admission interview

Request info

Want to know more about this program, Art - Design? Fill out the following form and include any questions you have. This information will be sent directly to the school, and a representative will respond to your enquiry.

Contact Information

whatsapp chat