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Business Administration AI Specialisation

Master of Business Administration (MBA)

Degree: Master of Business Administration (MBA)

Business Administration AI Specialisation

The degree for future AI-driven leaders: This MBA combines core management expertise – from marketing and finance to business law and digitalisation – with a future-focused Artificial Intelligence Specialisation. You will explore AI methods, data science, deep learning, and ethical frameworks.

Through case studies and group projects, you will not only sharpen your strategic thinking and leadership abilities, but also learn how to apply AI in a business context – from improving internal processes to developing innovative business models.

The Master’s programme “Business Administration AI Specialisation” is taught entirely in English and will be completed with the academic degree Master of Business Administration (MBA).

Locations

• Munich

Duration

• 3 semester inclusive Thesis

Credit Points

• 90 ECTS

Total costs

• 17.500,00 euro (including examination fee and immatrculation fee)

Accreditation

FOM University of Applied Sciences is accredited by the German Council of Science and Humanities and was the first private university in Germany to be system-accredited by FIBAA in 2012. This means that all FOM degree programmes are state and internationally recognised. In addition, the FOM University of Applied Sciences has been awarded the “Excellence in Digital Education” seal by FIBAA for its outstanding quality in digital teaching.

Your career prospects

You can take on the following jobs:

• General Manager
• Senior Consultant
• Head of Human Resources
• Head of Marketing
• Entrepreneur
• Start-up founder

Semester Overview

Study programme

1st semester

• Economics (5 CP)
  • Supply and demand
  • Cost, revenues, profit
  • Markets and their function
  • International trade and globalisation
• Marketing & Communication (6 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

2nd semester

• 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
• ARTIFICIAL INTELLIGENCE SPECIALISATION
  • Advanced module I: AI Methods & Processes (6 CP)
    • Introduction to Artificial Intelligence
    • AI Methods and Processes
    • AI Applications and Use Cases
    • Ethical and Social Impacts of AI
  • Advanced module II: Data Mining & Data Science (6 CP)
    • Classification algorithms
    • Regression algorithms
    • Reinforcement learning
    • Learning with unstructured data
  • Advanced module III: Deep Learning and its Limitation (6 CP)
    • Concept of neural networks
    • Games
    • Image and object recognition

3rd semester

• ARTIFICIAL INTELLIGENCE SPECIALISATION
  • Advanced module IV: Business Applications of AI (6 CP)
    • Trends in business models and the role of AI
    • Innovative value creation with AI
    • Business Model Canvas, Value Proposition Canvas, Design Thinking
    • Ethics and legal standards including major differences between EU, US, and China
• Master’s Thesis and Colloquium/Defence (25 CP)

Admission Requirements

• 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

How to Apply

Step 1

Register your personal data and educational background in the application form.

Step 2

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
• Authenticated copy of bachelor's degree certificate (for details check the admission requirements) and Transcript of Records bachelor's degree
• Proof of sufficient English language skills (at least B2 proficiency level – for details check the admission requirements)
• Only for MBA: Proof of professional activity for at least 1 year after completion of the bachelor's degree (prerequisite)
• Scan of passport

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.

Step 3

Please send the filled out and signed application form as well as the mentioned documents in step 2 via email.

Studycosts

• Total fees: 17.500,00 euro (including examination fee and immatrculation fee)
• Tuition fee: 17.500,00 euro
  • 1st Instalment (Deposit fee): 500 euro (has to be paid after receiving the invoice in order to secure the admission)
  • 2nd Instalment: 12.588,50 euro (payable immediately upon receipt of invoice before the 1st semester)
  • 3rd Instalment: 4.411,50 euro (payable before the 3rd semester)