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  • Frankfurt School of Finance & Management

Master of Artificial Intelligence & 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

Locations
Frankfurt

The Master of Artificial Intelligence & Data Science (MSc) at Frankfurt School of Finance & Management is aimed at quantitatively skilled graduates who wish to build impactful careers in applied AI and data science. Building on solid analytical foundations, the programme teaches key concepts for developing data-driven solutions to real-world business challenges.

PROGRAMME HIGHLIGHTS

Learn, Create & Succeed

  • Innovative 3-Day Model allows students to study full-time and work part-time. 
    • Entrepreneurship Accelerator & Incubator provide personalised mentoring and support for students with start-up ambitions. 
  • Four-Pillar Curriculum: Master tech foundations, business integration, ethics, and practical application.
  • Company projects: Students collaborate with top firms on real challenges, gaining experience for career success.

Requirements / Application

To apply for the Master of Artificial Intelligence and Data Science programme, applicants must meet certain academic requirements. An application fee of €100 applies.
Please note: The Frankfurt School Admission Test (BT Methods) can only be taken once.

  • First academic degree (Bachelor) of at least 180 ECTS credits
  • Strong quantitative and analytical skills (through high scores on GMAT, GRE or FS tests, a STEM degree or other evidence)
  • Excellent written and spoken English (TOEFL 90 iBT, IELTS 7.0 or equivalent)
  • Valid GMAT/GRE score or Frankfurt School Admission Test (BT Methods)
  • Successful admissions interview

Important Dates

Start Date:
24 August 2026

Application Deadline:
30 June 2026

Tuition / Fees

35,500 Euro

Financial Aid

Possible scholarships Frankfurt School of Finance & Management

Participants

This programme is aimed at analytically minded graduates who wish to acquire in-depth knowledge in data science and AI. Suitable candidates possess strong mathematical foundations in fields such as mathematics, engineering, computer science, or physics, and demonstrate a pronounced curiosity for complex data challenges.

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