Master in Analytics and Artificial Intelligence
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
Englisch
Specialization
Management
Program Emphasis
Artificial Intelligence, Business Analytics, Data Analytics, Digital Transformation, General Management
Course options
Full-time study
Locations
Berlin
Lead at the intersection of data & business with a master’s in analytics and AI
The Master in Analytics and Artificial Intelligence (MAAI) prepares you to bridge the worlds of business, data, and AI to improve strategic decision making. You will work on real business challenges that sharpen your analytical thinking, strengthen your technical fluency, and develop your ability to turn insights into strategic action.
Rather than mastering tools and models, you will explore how AI and data influence organizations and society. You will learn to evaluate bias, transparency, and accountability in data-oriented decisions and to apply analytics responsibly in real business contexts.
With the widest range of electives across all ESMT master programs, the MAAI lets you design a learning journey that reflects your interests, connects disciplines, and keeps you adaptable as technology and industries evolve.
Accreditation
ESMT is accredited by German, European, and US accrediting bodies (triple-accredited). This ensures a high-quality educational experience and a degree with a solid reputation throughout the world.
ESMT currently holds rankings in a number of publications, including appearances in the Financial Times, The Economist, Bloomberg Businessweek and Handelsblatt.
ESMT currently holds rankings in a number of publications, including appearances in the Financial Times, The Economist, Bloomberg Businessweek and Handelsblatt.
Requirements / Application
- A previous degree (at least Bachelor's equivalent) with excellent grades. If you are finishing your undergraduate studies within the next year, your application will also be considered.
- Ideally, applicants to the MAAI program will have between 0-3 years of post-graduate work experience. Applicants with up to five years of post-graduate work experience will be considered for admission on a case-by-case basis, following assessment and alignment of their academic and professional goals to the respective program.
- English language proficiency test scores (if applicable)
- Proof of strong quantitative skills, such as a degree in an analytical field or GMAT/ GRE scores
- Completed application - including essays, one reference and €75 application fee
Important Dates
Click here to register your interest
Tuition / Fees
Cost of tuition for master's programs: 36,000 Euros
The ESMT Master's Program tuition fee covers all courses and seminars, teaching materials, orientation, and career support. Your tuition will be paid in three installments over two academic years.
Applicants who complete their application to the master program by the deadlines below will be automatically considered for an early bird discount on their master tuition fees.
1st Early Application Award
Number of scholarships available: unlimited
Value: €4,000
Eligibility: Completed applications submitted to the master's program by the deadline.
Deadline: January 31
2nd Early Application Award
Number of scholarships available: unlimited
Value: €2,000
Eligibility: Completed applications submitted to the master's program by the deadline.
Deadline: March 31
Financial Aid
ESMT offers partial tuition scholarships based on academic merit and diversity to support highly qualified candidates.
Lending opportunities
ESMT offers access to loans through Prodigy Finance. Candidates from over 150 countries can acquire loans for master program tuition and living expenses.
Brain Capital
offers students from the EU, Canada and the USA the ability to cover tuition fees and living expenses through an innovative funding scheme.
Title IV and GI Bill
loans are available to US citizens who study at ESMT.
Special funding options
are also available for nationals of other countries. For more information, visit our website.
Find out more
Duration of study
Study method: face-to-face
