Enrolling in one of ESMT Berlin's Master's programs means joining a highly international community where you’ll learn alongside peers from around the world. You’ll gain new perspectives, exchange ideas across cultures, and build a powerful global network that will support your future career.
On this page, you can explore the class profiles of the three ESMT Master's programs—Master in Global Management, Master in Innovation and Entrepreneurship, and Master in Analytics and AI—to get a glimpse of who your future classmates might be.
Student demographic across all three master's programs
Currently, 147 students make up the three master's programs at ESMT Berlin. With an average age of 23, the MSc Class of 2027 is highly international—80% of students come from outside Germany, representing 40 nationalities across Western and Eastern Europe, Asia/Pacific, the Americas, and the Middle East/Africa.
The class is evenly split between male and female students, and participants bring an average of 0.6 years of full-time postgraduate work experience prior to joining ESMT.
Students of the three master’s programs come from a variety of academic backgrounds. While business and management graduates form a strong share of the class, many students join ESMT with degrees in economics, engineering, IT, communications, and other disciplines, creating a diverse and interdisciplinary learning environment.
Meet your future classmates
Master in Global Management (MGM) class profile
The Master in Global Management Class of 2027 brings together 71 students from 25 nationalities, reflecting ESMT Berlin’s commitment to an international and balanced learning environment. With 63% women and 37% men, the cohort continues to demonstrate strong gender diversity and a wide range of perspectives.
As you learn how to lead across cultures and steer international organizations, the diversity within your own classroom will be one of your greatest assets. 76% of students come from outside Germany, creating a truly global community and network that extends well beyond graduation.
Students in the MGM program come from a variety of academic backgrounds. While Business, Management, and Economics form the largest group, a significant number of students hold degrees in STEM disciplines, law, social sciences, and humanities—bringing analytical, creative, and interdisciplinary insights into every discussion.
Master in Innovation and Entrepreneurship (MIE) class profile
The Master in Innovation and Entrepreneurship Class of 2027 is made up of 36 students from 21 nationalities, with 84% coming from outside Germany. This diverse mix of aspiring founders, innovators, and problem-solvers brings a truly global perspective to building and scaling new ideas.
With a 33/67 gender split (female/male), the class reflects a dynamic community driven by curiosity, creativity, and the ambition to make an impact.
Students enter the MIE program from a range of academic backgrounds, including business, management, and economics, as well as engineering, science, and the social sciences. This blend encourages collaboration between those who think analytically and those who think imaginatively—the same mindset that fuels entrepreneurship.
The MIE program attracts students who want to develop ventures, drive innovation within organizations, and turn ideas into tangible outcomes. Whether launching startups or leading intrapreneurial initiatives, this class represents a generation ready to shape the future of business through creativity, resilience, and action.
Master in Analytics and AI (MAAI) class profile
The Master in Analytics and Artificial Intelligence Class of 2027 brings together 40 students from 19 nationalities, forming a truly global community where business meets data science. With 80% international students and a 40/60 gender split (female/male), this cohort reflects the growing diversity shaping the fields of analytics and AI.
Students in the program share a common interest in turning data into strategic insight. Their academic backgrounds span business, management, and economics, alongside strong representation from STEM disciplines—including engineering, mathematics, and computer science—and social sciences. This mix fuels discussions that bridge quantitative rigor with business context.
The MAAI program attracts students eager to work at the intersection of data analytics, artificial intelligence, and business strategy. Whether developing predictive models, optimizing business decisions, or designing ethical AI systems, this class represents the next generation of analytically minded innovators ready to lead in a data-driven world.
