Frankfurt School Master's in AI and Data Science: Program Overview and International Admissions

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Key Takeaways from the Frankfurt AI Data Science Master's

• The Master's in AI and Data Science is a 21-month full-time program designed for graduates with strong quantitative backgrounds.

• The program combines applied machine learning, AI, and data science with practical business problem-solving.

• Classes follow a three-day schedule, allowing students to work part-time, complete internships, or pursue entrepreneurial projects.

• Career outcomes are strong, with an average starting salary over €80,000 and graduates employed in sectors including data science, analytics, banking, energy, big tech, and consulting.

• The program provides international exposure, a diverse cohort, corporate cooperation projects, and access to a global alumni network.

• Application requirements for international students include a bachelor’s degree, strong quantitative skills, English proficiency, standardized test scores (GMAT/GRE), and a successful admissions interview.

Program Purpose and Target Audience of the Frankfurt AI Data Science Master's

The Master in AI and Data Science at Frankfurt School of Finance and Management is designed to prepare graduates for high-impact careers in AI, machine learning, and data-driven business solutions. It targets students with quantitative backgrounds who aim to combine technical expertise with practical business skills.

Program Duration and Structure

• Duration: 21 months, full-time.

• Schedule: Classes are held three days per week, providing flexibility for internships, part-time employment, or entrepreneurial projects.

• Curriculum Focus: Applied machine learning, AI, and data science with real-world business applications.

Experiential Learning

• Company Cooperation Project: In the third semester, students work on projects in partnership with leading companies, applying technical skills to solve business challenges.

• Hands-On Learning: Students immediately apply concepts learned in class to real-world contexts.

• Global Cohort: The program attracts a diverse, international student body, enhancing cross-cultural collaboration and professional networking.

Career Outcomes

Graduates achieve strong employability results:

• Average starting salary (including bonuses): Over €80,000.

• Employment spans multiple high-growth sectors: energy, banking, big tech, consulting, and analytics.

• Graduates work in roles such as data scientists, business analysts, and asset managers.

• Career support includes one-on-one counseling, workshops, exclusive career fairs, and access to a global alumni network.

Admissions Requirements

International applicants must meet the following criteria:

• Bachelor’s degree from a recognized institution.

• Strong quantitative skills, typically from STEM or related fields.

• English proficiency.

• Standardized test score (GMAT or GRE).

• Successful admissions interview.

Application Process

The admissions process consists of:

1. Online application submission.

2. Assessment and interview.

3. Admission decision and scholarship review.

4. Enrollment upon acceptance and deposit payment.

Tuition and Financial Support

• Full tuition (2025): €35,500.

• Early application discounts: €4,000 if submitted by November 30; €2,000 if submitted by March 31.

• Scholarships are available, including those targeting international STEM students and diversity initiatives.

Program Orientation

The Frankfurt School Master's in AI and Data Science emphasizes a practical, career-oriented approach, combining rigorous technical training, hands-on projects, corporate collaboration, and global networking opportunities. Its flexible schedule and dedicated support services make it particularly suitable for international students seeking rapid entry into AI and data science careers in Europe.