Business Administration Machine Learning

Master of Business Administration (MBA)

Business Administration Machine Learning

Semester Overview

Study programme

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.

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Full-time on Campus

How to study at FOM

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.

What you need for admission

  • University degree with 210  ECTS:

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

  • One year’s professional experience after the first degree
  • English language level B2

3 Steps to FOM University

How to Apply

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:  

  • Authenticated copy of general university entrance qualification certificate and school-leaving certificate or high school diploma
  • Curriculum Vitae
  • Proof of sufficient English language skills (at least B2 proficiency level – for details check the admission requirements)
  • Scan of passport
  • If applicable, details of any previous university credits or academic achievements

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?

  • issuing institutions, e.g. schools, universities and language schools,
  • the Ministry of Education in your home country,
  • the German embassies and consulates,
  • the cultural department of the embassy of the country from which the certificate originates,

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.

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  • Total fee: 
    € 18,750 (including examination fee and immatriculation fee)
  • Fee structure:
    1st instalment (Deposit fee): € 500 (has to be paid after receiving the invoice in order to secure the admission)
    2nd instalment: € 13,250 (payable immediately upon receipt of invoice before the 1st semester)
    3rd instalment: € 5,000 euro (payable before the third semester as scheduled therein)

Flyer

All information about the degree programme can be found here in a compact PDF document.

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Facts about FOM

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.

Rektor FOM Hochschule

Prof. Dr. Burghard Hermeier

President of FOM University of Applied Sciences