This spirit of openness is exactly what shaped a recent conversation between Alexander Sainishvili, a Master in Innovation and Entrepreneurship (MIE) student, and Tino Elgner, Director of Master Programs.
In this interview, the two discussed how ESMT designs its three master’s programs, supports student development, and stays connected to the world of business. Below are the key takeaways from their conversation.
The full interview video is available at the end of this article.
Tino: One of the most important responsibilities of a business school is staying close to the market. At ESMT, we do this in two main ways.
At ESMT Berlin, we prioritize building and nurturing a supportive lifelong community whose members actively contribute to improving both student and alumni experiences. Students can engage with alumni in several ways:
At ESMT Berlin, diversity is a core pillar of everything we do, value, and actively seek in candidates.
Across the three master’s programs, around 80% of students are international, creating a community of 40+ nationalities who learn, grow, and inspire each other on campus.
However, diversity extends far beyond cultural heritage. Students also bring:
What unites our students is their desire to create impact, discover their career paths, and do meaningful work that inspires them and others. We believe this journey becomes easier when diverse talents and perspectives come together in one place.
All ESMT Master programs were fundamentally designed around choice, due to the high degree of customization they offer.
“Choice” might sound simple, but it requires self-reflection and trade-offs—choosing one path often means not choosing another. This is why many electives, some core courses, and various skill seminars are open to all students across the three master’s programs. This flexibility allows students either to broaden their skill sets or to sharpen highly specific skills aligned with the career and impact they seek.
For example, if you begin with a particular career path in mind but later shift your thinking, the elective period will allow you to make part of that transition.
In other words, choice enables students to tailor their programs to the career paths they wish to pursue, while the strong business foundation provided by the curriculum forms the soil from which they can grow.
These are simply very different programs. One is not better than the other; they are just distinct.
In summary, what truly differentiates the three master’s programs is the degree of specialized knowledge they convey and, consequently, the types of career outcomes they prepare students for.
The MAAI program is quite technical. Students should expect a high degree of quantitative and analytical rigor through courses such as:
However, the goal is not to turn students into number crunchers or data scientists in the pure sense. The aim is to create translators—professionals who can connect data science with management.
As technical as the program is, equal attention is paid to helping students understand the business context in which they will create value. The better they understand the context, the more effectively they can apply analytics and AI.
Yes, absolutely! It all comes down to transferable skills. It is not about the failure of a startup that limits someone’s career options; rather, it is the skills and experience gained while attempting to turn an idea into a value-creating venture that ultimately counts.
This nimble, agile approach that we call an “entrepreneurial mindset” really is something that companies are actively seeking.
When you try to create a business, you inevitably take on elements of general management: finance, fundraising, marketing, value proposition design, and more. These skills translate extremely well to corporate innovation roles.
This is why the MIE program focuses as much on corporate innovation as it does on entrepreneurship; they are two sides of the same coin when you look at the fact that every established business once was a startup.
There are two key ways in which the Master's Programs faculty members at ESMT integrate their research into the classroom:
Examples within ESMT Master programs
In the MAAI, Professor Boyaci is building his elective “Sustainable Operations via Analytics” on his research on circular supply chains. Professor Gurkan is integrating his research on optimization models in both his core course “Advanced Decision Modeling” and in his elective “Optimization for Prescriptive Analytics.” The faculty lead, Professor Stefanescu-Cuntze brings insights from her work on customer analytics into her core course on Advanced Marketing Modeling. Professor Sönmez designed her course on Health Analytics and AI around her research expertise in that field.
In the MGM, the faculty lead, Professor Baquero, bases his course “Alternative Investments” directly on his research around hedge funds. Professor de Véricourt, on the other hand, published a book not long ago on “Framing,” which is an important part of his course called “Judgement and Decision making”.
In the MIE, Professor Sevilir brings in a lot of insights from her research on private equity into her course on “Entrepreneurial Finance”, and the faculty lead Professor Papachroni uses her work on ambidextrous organizations in her course “Organizing for Innovation”.