Master in Analytics and Artificial Intelligence
Visit us on campus, get €150 off tuition
Meet us in Berlin—join an Open House or an on-campus chat and get €150 off tuition if you enroll in an MSc program.
What you will study in the Master in Analytics and AI: Curriculum and timeline
The Master in Analytics and AI curriculum combines advanced analytical training with the flexibility to design your own learning journey across disciplines in the pursuit of bridging data, AI, and business to make smarter decisions.
Through the MAAI, you will work on real challenges and build an analytical mindset that helps you make sense of complexity, interpret data with context, and turn insights into practical solutions for business.
- Develop analytical depth through core courses like machine learning, data management, and econometrics that teach you to apply the right analytical lens to complex business problems.
- Customize your learning with 35+ electives across master programs in areas of general management, entrepreneurship, and innovation, plus the optional Finance and Investment Certificate.
- Expand your perspective through internships in Germany or abroad and semester exchanges at leading partner schools.
- Build professional skills through seminars (mandatory in year one and optional in year two) covering topics such as leadership, analytics project management, and talent management.
- Access self-paced online courses through AWS Academy and Datacamp, covering topics like generative AI, machine learning for NLP, and cloud computing.
Learn from faculty with expertise in data and AI
ESMT’s international faculty combines research excellence and real-world experience in analytics and AI, bringing fresh insight into how data and technology transform business and society.
- Deep expertise in areas like human-AI collaboration, decision sciences, and business ethics
- Active researchers and lecturers in both degree and executive education programs
- Regular advisors to global companies including Volkswagen Group and Lufthansa Group
- Committed to helping students connect analytical insight to practice with strategic decision-making
Visit us on campus, get €150 off tuition
Meet us in Berlin—join an Open House or an on-campus chat and get €150 off tuition if you enroll in an MSc program.
Frequently asked questions
Not the answers you were looking for? Check out our FAQ page for more.
Am I a good "fit" for the MAAI?
ESMT's MAAI is a personalized degree for high-potential candidates with little or no previous work experience.
The qualities we are looking for in our applicants are:
- Excellent analytical problem-solving abilities
- A critical thinker who holds a scientific worldview
- Highly attentive to detail
- Knowledge and understanding of emerging technologies
- A desire for continuous learning opportunities
What are the MAAI application requirements?
The requirements for applying to ESMT’s MAAI program are:
- A Bachelor's degree or an equivalent
- Strong grades in your quantitative courses
- Proof of English proficiency (e.g. TOEFL, IELTS) or graduating from a university program taught in English
- Completed application, including essays and one recommendation
- 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.
Can I apply before receiving my bachelor's degree?
Yes, applications are encouraged from final-year undergraduate students awaiting completion of their degree.
However, a grade overview or transcripts must be included with the application.
What kind of scholarships are available for MAAI applicants?
Scholarships are offered to accepted students with outstanding academic merit and leadership potential. To apply for a scholarship, you should complete the proper essay included in the online application form, and indicate your suitability for a scholarship.
The scholarships offered in ESMT cover partial tuition fees. Most of our students cover the costs of their studies with a mix of scholarships, loans, and personal savings.
Here you can find more information about the scholarships and financing options.
Does ESMT offer on campus housing?
ESMT offers student accommodation in 7 shared flats near campus, just a 10-min walk away.
Full-time ESMT students can apply for single or double rooms in the shared flats – each fully furnished and equipped with WIFI. For more information on ESMT student accommodation, click here. As there are limited rooms available, please also consider other housing options.
Make the most of your student life in Berlin
As a full-time MAAI student at ESMT, you will study at ESMT’s Berlin campus, housed in a historic building at the heart of one of Europe’s most active AI and data ecosystems. On campus, you’ll connect with peers from across programs through clubs, hackathons, and networking events that blend business, analytics, and innovation.
Off campus, Berlin offers endless ways to learn and grow. Join tech meetups, discover new ideas at exhibitions, or collaborate with people who share your curiosity for how data and technology can shape the world. The city invites you to think differently, challenge assumptions, and grow—both personally and professionally.
Program Advisory Committee (PAC)
Each MSc program at ESMT Berlin is supported by a Program Advisory Committee (PAC) made up of alumni and industry professionals. These committees offer strategic guidance on program development, career placement, and market relevance, working closely with the Director of Programs and Faculty Leads.
Amitai Golub
Amitai helps large organizations design, launch and scale data and AI transformations. He combines practical experience in data science, project management and change management to deliver impactful and sustainable change for executives and frontline workers.
Before joining Rewire in 2024, Amitai worked for seven years at McKinsey, where he led cutting-edge MLOps and customer engagement transformations in pharma. Prior to that, Amitai worked as a consultant and data scientist in the online gaming industry. He holds an MBA from ESMT Berlin and master’s and bachelor’s degrees in statistics from the Hebrew University in Jerusalem.
Omar ElMaria
Omar is a 2020 ESMT Berlin Master in Management graduate and is currently the Head of Monetization and Algorithmic Pricing at MoonPay, the world’s leading Web3 infrastructure company. Omar has a double background in Finance and Mechanical Engineering. He pivoted to Data Science in 2019 with a special focus on growth analytics and monetization (pricing, promotions, and loyalty).
Omar's domain knowledge spans monetization in B2C and B2B2C businesses, competitive intelligence, applied statistics, experimentation, and Web/App crawling. Omar is deeply engaged in crypto and DeFi and passionate about investing and personal finance.
Simi Ayo-Vaughan
Simi is a seasoned Data Analytics Manager from Nigeria with almost 10 years of experience in turning complex data into actionable insights for. She holds a Master’s in Management from ESMT and is passionate about helping decision-makers make smarter, data-driven choices. Before joining Delivery Hero, she worked for Wayfair as a Data Analyst, as well as Zalando and SAP.
Dr.-Ing. Fabian Kramer-Pohlkötter
Dr.-Ing. Fabian Kramer-Pohlkötter is Head of the DeeP Lab at BMW Group, leading digitalization projects in high-voltage battery production focused on data analytics, GenAI, and virtualization. He has held key roles in digitalization and predictive maintenance at BMW and previously worked on e-mobility strategy at Bosch.
Fabian holds a doctorate in engineering from TU Dresden and a Master’s in Management from ESMT Berlin, where he received the President’s Award and Best Social Impact Project Award. He also led a social project in Ethiopia and co-founded two ventures, including a patented water decalcification product.
Johannes Lorenz
Johannes-Tobias Lorenz is a Senior Partner in McKinsey & Company's Düsseldorf office and has been advising leading financial service providers and scale-ups on strategy, growth, and operational excellence since 2001. In his role as McKinsey's global leader for "Digital & AI Transformations," he significantly supports clients from all industries in the digital transformation of their business models.
Johannes is a member of McKinsey's European Leadership Team and has been a member of the McKinsey´s People Committees for almost 15 years.
Carolina Rincon
Carolina is a customer oriented and data-driven product leader with a track record of building global products. An adaptable team player, fast learner, data geek, and problem solver who believes in continuous innovation, loves bold and big ideas, and likes developing iterative solutions and making decisions with an analytical lens.
Carolina holds an MBA focused in technology from ESMT and currently is the Principle Product Manager for Zalando working across a team of data scientists, engineers and logistics partners, with the purpose of using Machine learning to predict accurate delivery time estimates, and transform them into convenient information for Zalando customers.
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