Zulassungsvoraussetzungen
- Erster akademischer Abschluss (Bachelor oder Diplom) von mindestens 180 ECTS-Punkten
- Hervorragende schriftliche und mündliche Englischkenntnisse (TOEFL - 90 iBT, IELTS 7.0 oder vergleichbar)
- Gültiger GMAT/GRE-Score oder Frankfurt School Admission Test (BT Methods)*
- Erfolgreiches Aufnahmegespräch
Details
The Master in Applied Data Science programme at Frankfurt School is designed for graduates with strong mathematical skills who aim to excel in the dynamic fields of applied artificial intelligence and data science. This comprehensive programme blends theoretical and practical knowledge, providing students with essential skills to navigate complex data-related challenges in various industries. The curriculum includes core modules focusing on algorithms, data analysis, machine learning, ethical and legal aspects of data science, and practical applications in business. Students gain hands-on experience through industry projects with leading companies, enhancing their problem-solving abilities and career opportunities.
The 3-day model allows students to study full-time while gaining practical work experience part-time. Students can also choose electives to tailor their education to personal career goals. Opportunities for entrepreneurship or studying abroad further enhance the educational experience. The programme is supported by scholarships to assist academic and career growth.
Graduates are equipped to pursue careers in roles such as Data Scientist, Business Analyst, and Machine Learning Engineer, with many securing positions at prestigious companies like Deutsche Bank, Deloitte, and Amazon.
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