Master in Applied Data Science
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
Englisch
Specialization
Wirtschaftswissenschaften
Program Emphasis
Data Science
Course options
Full-time study
Our Master in Applied Data Science programme is designed for graduates with strong mathematical skills, preparing them to excel in the dynamic fields of applied AI and data science. The programme builds on quantitative foundations, offering a comprehensive understanding of data science to address real-world business challenges.
With a unique curriculum blending applied machine learning, data science, business, and finance, students gain a well-rounded education suited to today's business needs. The 3-Day Model allows for part-time work alongside studies, offering practical experience.
Students work on industry projects with top companies and startups, gaining hands-on experience. They receive mentoring from renowned faculty and access to an Entrepreneurship Accelerator or Incubator to develop their own ventures. The programme also covers the ethical and legal aspects of AI, equipping students to navigate the fourth industrial revolution.
With a unique curriculum blending applied machine learning, data science, business, and finance, students gain a well-rounded education suited to today's business needs. The 3-Day Model allows for part-time work alongside studies, offering practical experience.
Students work on industry projects with top companies and startups, gaining hands-on experience. They receive mentoring from renowned faculty and access to an Entrepreneurship Accelerator or Incubator to develop their own ventures. The programme also covers the ethical and legal aspects of AI, equipping students to navigate the fourth industrial revolution.
Requirements / Application
- Certified copy of your undergraduate transcript of records and degree award certificate
- Certified copy of your TOEFL / IELTS results or equivalent (TOEFL - 90 iBT, IELTS 7.0 or equivalent)
- Official GMAT score report, GRE score report or FS Admissions Test
- CV or resume (must be in English)
- Successful admissions interview
Important Dates
Application Deadline: 30 June
