Master in Applied Data Science

Entry requirements

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

**Language proficiency waivers are possible for candidates, who have completed a previous degree in English, lived in an English speaking country for longer than a year or whose work language is English (confirmation from an employer required).

Months of entry

August

Course content

The Master's in Applied Data Science is a programme entirely taught in English, designed 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.

Highlights

• Flexible programme structure allowing part-time employment with our 3-Day Model
• A combination of applied Machine Learning, Data Science and Business Problem Solving
• Frankfurt School is #12 worldwide for Best Business Schools for Digital Transformation and #1 in Germany according to The Times Higher Education (THE).
• Extended company projects on real-life cases in cooperation with leading companies during semester 3
• Join our Entrepreneurship Accelerator or Incubator for personalised mentoring
• Ethical ramifications of the fourth wave of industrialisation
• Access to our AI Lab
• Extensive network of cooperating companies and universities worldwide
• Study, network and experience Life in Frankfurt
• Possibility to apply for a scholarship

Fees and funding