Master in Analytics and AI | Timeline & courses

Your learning and development journey

On this page you can find more details about the curriculum and program structure for the Master in Analytics and Artificial Intelligence

The Master in Analytics and Artificial Intelligence program begins in September each year and lasts for 24 months. The full two-year program is worth 120 ECTS credits.

The program is designed to give you a business education while equipping you with sought-after skills relating to analytics and AI tools, preparing you for a career as a digital innovation consultants, analytics leader or technological change agents

The structure in two parts includes:

Foundation courses covering the most important aspects of Organizational Analytics: Data, Models, and People, Data Management,
Causal Inference in AI Models, Introduction to Machine Learning and many more.
Advanced electives delving deeper into industries and applications e.g. Advanced Optimization Models, Machine Learning models in production, Analytics and AI for Healthcare Management and many more.

Pre-program

Pre-program courses

Python Data Fundamentals
Statistics Fundamentals with R

Term 1

September - December

Core courses

Business Economics
Judgment Decision-making
Financial Management & Corporate Finance
Organizational Analytics: Data, Models, and People
Data Visualization
Introduction to Machine Learning
Data scraping & processing
Econometrics

Skills Seminar

Careers Bootcamp
Analytics through Coding
Business Presentations
The Do’s and Don’ts of Meeting Effectively
Group Dynamics and Teamwork

German language classes

During your Master's in Analytics & Artificial Intelligence program, you can take optional German classes that integrate language learning with practical applications to enhance your academic journey. Improving your proficiency in German equips you with a valuable skill set that supports both personal growth and future career opportunities.

Term 2

January - March

Core courses

Operations and Global Supply Chain Management
Introduction to Artificial Intelligence
Advanced Decision Analysis
Data Management
Causal Inference in AI Models
Analytics and Society
Advanced Marketing Modeling
Consumer Preference Modeling

Skills seminar

The Psychology of Conflict Resolution
Project Management through SCRUM

German language classes

Term 3

April - September

Internship

Complete an internship of up to six months with a company that aligns with your careers goals, in coordination with ESMT. German students are encouraged to complete their internship abroad.

ESMT currently works with a growing number of companies to offer internships.

Please note that while ESMT has agreements with internship providers to offer internships, participants are still required to apply and pass the target company’s selection procedures. Participants may also source their own internship opportunities.

This year, our students gained internship positions at

Boeing working in Market Research & Strategy Support
Accenture working as a Strategy Consulting Intern
BMW working as a Sustainability Strategy Intern
Daimler working as a Risk Management Intern
United Nations as an Intern in Information and Communication Technology Section
Deutsche Bahn in Strategic Organizational Development
KPMG working in Deal Advisory
Helix Cognitive Computing GmbH as a Blockchain Research & Cryptoeconomics Trainee
Rocket Internet SE working as an International Finance Intern
Google working as a Marketing Intern
Bayer Healthcare working in Digital Health and Innovation
Zalando working on the Business Development team

Besides Germany, students are gaining international experience by interning in Japan, Turkey, Switzerland, France, South Korea and Kenya.

Term 4

October - December

Electives

Portfolio Theory and Asset Pricing
Fixed Income Investments
International Finance
Introduction to Investment Banking (only for Finance and Investment Certificate)
MARGA Strategy Simulation
Modeling and AI for Sustainability
The Data Scientist: Modern Tools
Survey Design
Innovating with AI: Large Language Models in Business
Entrepreneurial Sales & Marketing

+ MGM and MAAI core courses

Skills seminar

Process Mining
Analytics Project Management
Consulting
Building Professional Networks

German language classes

Term 5

January - May

Electives

Alternative Investments
Valuation
Advanced Investment Strategies
Risk Modelling
Ambidextrous Leadership
Negotiation
Open and Distributed Models of Innovation
Analytics and AI for Healthcare Management
Machine Learning Models in Production
Advanced Optimization Models
Time Series Analysis
Data-Driven Solutions for Climate Adaptation, Mitigation and Resilience
Social Entrepreneurship

+ MIE and MGM core courses

Skills seminar

Impact Consulting
Cyber Security
Stress Management & Resilience
Leadership in Practice

Analytics Student Consulting Project

Get experience working with a corporate partner as part of a student consulting team and apply your new skills and insights into a real-world business environment.

Introduction to Research Method + Research Strategies Week

Introduction to Research Method
Research Strategies Week

German language classes

Term 6

May - August

Master Thesis

While working on your Master thesis, you may seek the opportunity of a second internship and carry out your research with support from practitioners.

Alternatively, particularly those who intend to pursue an academic career, you may opt for working on a thesis topic in close coordination with a professor’s own research agenda.

Additional options include:

Finance and Investment Certificate

You can opt to complete advanced courses in finance subjects with a focus on global investment strategies.

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

German language training

Within your Master's in Analytics and Artificial Intelligence, you have the option to enroll in optional German classes that meld language instruction with practical applications. This approach is designed not only to advance your command of the German language but also to expose you to important cultural and business practices. As you progress through the course, you will refine your communication skills and gain useful cultural insights, which can enhance your academic experience and contribute to your future career development.

Collaborative learning

Modern business is global - ESMT students thrive in a global environment

The value a diverse international cohort brings to your personal development is that it prepares you for any challenge and opportunity the modern world holds in stock for you.

With over 50 nationalities represented in the classroom you benefit from fresh perspectives, unique experiences, and a broad set of skills. ESMT Berlin's unique approach to collaborative learning means that working and thriving in diverse and international teams comes as second nature.

Catalina Stefanescu-Cuntze

Nationality: Romania/UK

Education: Cornell University, Ph.D.

Research area/focus: Credit risk, customer analytics

Courses taught: Analytics leadership

“All models are wrong. Some are useful. (G.E.P. Box)”

Nazlı Sönmez

Nationality: Turkey

Education: London Business School, Ph.D.

Research area/focus: Operational innovation in healthcare

Courses taught: Operations and Global Supply Chain Management (MGM/MIE/MAAI), Analytics and AI for Healthcare Management (MAAI)

Fun fact: I was the co-founder of Bilkent University Baking Club during my college years.

"You can't manage or improve what you can't measure."

Website

Tamer Boyaci

Nationality: Canada/Turkey

Education: Columbia University, Ph.D.

Research area/focus: Human-AI collaboration, sustainable operations

Courses taught: Modeling and AI for Sustainability

"My course will not focus on predictions and predictive analytics, but rather prescriptive models and strategies for improving sustainability of business operations."

Urs Müller

Nationality: Germany/Switzerland

Education: University of Goettingen,Dr. phil.

Research area/focus: Business ethics

Courses taught: Analytics and Society

Fun fact: I collect selfies in front of McDonald’s and sort literature, art, and philosophy books by date of birth of the author.

“Analytics and AI will shape our future – for the better or worse. I am rather optimistic, but business will need to contribute to turn them into drivers of societal benefit.”

This is a photo of Jan Nimczik, ESMT Berlin.

Jan Sebastian Nimczik

Nationality: Germany

Education: University of Mannheim, Dr. rer. pol.

Research area/focus: Labour markets and immigration

Courses taught: Data Science for Analytics (MGM/MIE), Machine Learning and Causality (MAAI)

" In this class we connect the predictive power of machine learning with the quest for answers to causal questions that help us make thorough decisions."

Website

Matthias Qian

Nationality: Germany

Education: University of Oxford, Ph.D.

Research area/focus: AI and entrepreneurship

Courses taught: Econometrics, Large language models

"Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom."

Jamie Song

Nationality: South Korea

Education: INSEAD, Ph.D.

Research area/focus: Entrepreneurial strategy, social networks, machine learning

Courses taught: Foundations of Strategic Management

Fun fact: I’ve lived across four continents and seven cities in the past ten years.

“The principles of strategic management will be a compass guiding you through the complexities of business, illuminating paths to gaining and sustaining competitive advantage, and empowering you to shape the future of organizations.”

Eric Quintane

Nationality: France

Education: University of Melbourne, Ph.D.

Research area/focus: Social network analysis

Courses taught: Managing Organizations is a Global Context (MGM/MIE), Organizational Analytics: Data, Models, and People (MAAI)

Fun fact: I convinced my family to spend a night with me in a treehouse in the middle of the Amazon forest.

“No one can effectively implement third-generation strategies through second-generation organizations run by first-generation managers.” - Bartlett and Ghoshal (1990)

Website

Huseyin Gurkan

Nationality: Turkey

Education: Fuqua School of Business is the business school of Duke University, Ph.D.

Research area/focus: Decision sciences, incentive management

Courses taught: Advanced Decision Analysis (MAAI), and Statistics in (MGM)

Fun fact: I have never tried doner kebap in Berlin.

Website

This is a photo of David Ronayne, ESMT Berlin

David Royane

Nationality: UK

Education: University of Warwick, Ph.D.; University of Oxford, Post doc.

Research area/focus: Industrial organization and behavioral economics

Courses taught: Business Economics

"We will explore business-relevant economic concepts and results, bringing them to life through applications and interactive exercises. The questions we will address range from the fundamental, e.g., 'What are the benefits of a free market?' to the practical, e.g., 'How should you price a product line?'"

Website

Find out more about the master's programs faculty at ESMT

Want to get more information about the talented team of people who will be delivering your master's program?

Visit our dedicated page to find out more about the faculty behind the Master in Global Management, Master in Innovation and Entrepreneurship, and Master in Analytics and Artificial Intelligence.

Dedicated lecturers

ESMT's international faculty combine the very best business teachers and researchers from around the world, brought together in Berlin to share their experience in business practice and thought leadership with a passion that puts the learning experience before everything else.

Situated in state-of-the-art facilities and supported by a world-class community of entrepreneurs and corporate partners, ESMT Berlin has laid the foundations for innovative research and excellence in the classroom.