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Master in Analytics and Artificial Intelligence

Master Analytics Artificial Intelligence
ESMT building outside
Open House - Degree programs, June 13

Key focus areas for the MAAI

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Analytics Consulting Project

The Analytics Consulting Project (ACP) gives you the opportunity to work directly with companies to solve real, data-focused business problems.

Offered in the second year of the Master in Analytics and Artificial Intelligence (MAAI) curriculum, this hands-on experience lets you join a team of fellow students and collaborate with a corporate partner to define a problem, analyze real-world datasets, and develop actionable solutions. With guidance from ESMT faculty and industry professionals, you’ll present your findings and recommendations to the company at the end of the project.

Learn more about the ACP
MAAI Research Track
Research Track

As an alternative to working in teams with a company on an Analytics Consulting Project, you can also work individually on a research project with an ESMT faculty member. This will involve mostly empirical work, often with large data sets and extensive coding, to answer a practical research question.

A group of international students abroad
Global Immersion

Practical experiences are central to the program, giving you time to apply new skills in real-world environments and prepare for the job market:

  • Take advantage of internship opportunities in Germany or abroad during the program.
  • Take an academic term abroad (optional) at one of ESMT's top-ranked partners around the world
  • During your Master's in Analytics & Artificial Intelligence program, you have the option to enroll in German language classes designed to enhance your academic journey by integrating language learning with practical applications. Improving your proficiency in German adds a valuable skill set that supports both your personal growth and future career opportunities.
A man looking at a financial report on his computer screen
Finance and Investment Certificate

Take optional advanced finance courses that focus on global investment strategies to deepen your understanding of the finance world.

 

You will be issued an ESMT Finance and Investment Certificate in addition to your master's degree. 

Discover more

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.

PAC members for Master in Analytics and AI

Amitai Golub

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 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 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

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 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 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.

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. 

13
Jun
Prospective students
Open House - Degree Programs
June 13, 2025
15:00 - 18:30 | ESMT Berlin
21
Jun
Prospective students
Sticks & Stones Event - Berlin
June 21, 2025
09:00 - 22:00 | Berlin, Germany
26
Jun
Prospective students
MBA Bites: Bite-sized lecture - June Edition
June 26, 2025
13:00 - 13:30 | Online
4
Sep
Prospective students
Access Master Event - Shanghai, China
September 4, 2025
16:30 - 20:45 | Shanghai, China

Apply for the 2025 intake

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