Location
Munich
Duration
3 semester inclusive Thesis
Credit Points
90 ECTS
Total fee
€ 18,750 (including examination fee and immatriculation fee)
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Master of Business Administration (MBA)
Semester Overview
Economics (5 CP)
Supply and demand
Cost, revenues, profit
Markets and their function
International trade and globalisation
Marketing & Communication (5 CP)
The role and concepts of marketing
Marketing objectives
Communication: Internal, External, Digital, International
HR & Leadership Competencies (5 CP)
General Framework of Human Resource Management
Corporate Culture
Leadership in teams
Motivation Theory
Financial Management (6 CP)
Objectives in financial management
Stakeholder vs. shareholder Management
Financial planning
Investment International Business Law (5 CP)
Main features of the German legal system and its integration in European and international law
Basics of contract law
Basics and current developments of commercial and corporate law
Industrial property rights
Intercultural Competence & Research Methods (5 CP)
Cultural theories and intercultural competence
Culture in business communication
Research design and data analysis
Academic writing
Strategic & Digital Management (6 CP)
Strategic management process and analysis
Vision and mission concepts
Macro and micro environmental analysis
Strategic management instruments and tools
Value-Based Controlling & International Accounting (5 CP)
Classification of accounting methods according to IFRS in the national and international normative context
Goals, objectives and principles of IFRS accounting methods
Components of IFRS annual financial statements
General reporting and valuation rules of the IFRS
MACHINE LEARNING SPECIALISATION
Advanced module I:
Machine Learning Essentials (6 CP)
Introduction to Machine Learning
Types of Machine Learning (Supervised, Unsupervised, Reinforcement
Supervised Learning
Algorithms Advanced module II:
Advanced Machine Learning Techniques (6 CP)
Unsupervised Learning Algorithms
Clustering (K-means, Hierarchical Clustering)
Dimensionality Reduction (PCA)
Introduction to Deep Learning and Neural Networks
Advanced module III:
Deep Learning & Neural Networks (6 CP)
Convolutional Neural Networks (CNNs)
Image Recognition and Computer Vision
Applications in Business: Image Classification, Object Detection
Recurrent Neural Networks (RNNs)
Advanced module IV:
Business Applications of Machine Learning (6 CP)
Machine Learning for Business Applications
Demand Forecasting
Algorithmic Trading
Ethical Considerations in AI
Master’s Thesis and Colloquium/Defence (25 CP)
Subject to change.
Full-time on Campus
In our Master’s degree programme “Business Administration Machine Learning (MBA)” you will be expanding your academic knowledge, gaining specialist subject and methodological understanding and further broadening your decision-making and leadership skills. You study full-time on the campus in Munich. You also have the opportunity to establish initial contacts with companies. During this time, you will have experienced, highly qualified professors and lecturers who will also provide you with individual support.
applicants with a university degree worth 180 Credit Points may be admitted to a course after appropriate professional experience or other university achievements are recognised
3 Steps to FOM University
Register your personal data and educational background in the application form.
Please always enter your full name as it is mentioned in your passport. If you do not have a last name, please enter "-".
For the registration, you need the following documents:
All documents have to be translated in German or English. If your original document is written in another language, your documents have to be translated by a certified translator. Please then send a certified copy of the original and the certified translation while applying.
Please send all documents as PDFs and name the file as follows: Last name, first name_Study programme (e.g. Smith, Jane_Big Data and Business Analytics).
Note: Where can I get my documents certified?
the authorities and notaries who are authorised to carry out official certification in your home country.
Please send the filled out and signed application form as well as the mentioned documents in step 2 via email to incomings@fom.de
Please download the application form below.
All information about the degree programme can be found here in a compact PDF document.
Internationally acknowledged degrees
Cooperations with over 10,000 companies
30 years of experience in academic teaching
International network with universities worldwide
Strong research competence
State-acknowledged and system-accredited
2,000 professors and lectures
45,000 students from 118 nations
More than 100,000 graduates
A degree from FOM is not just a qualification – it's your stepping stone to a successful career in Germany and beyond.
President of FOM University of Applied Sciences