Location
 Essen
Duration
4 semester including thesis
Credit Points
120 ECTS
Total fee
 € 23,850 (including examination fee and immatriculation fee)
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Master of Science (M.Sc.)
Semester Overview
Decision Focused Management (6 CP)
 Traditional decision theory
 Management decisions from a psychological perspective
 Decisions in a strategy context
Information Systems in Production (6 CP)
 Product development systems
 Production planning systems
 Production management systens
 Case Study
Big Data Analytics (6 CP)
 Data sources and data classification
 Visual analytics / data discovery / explorative data analysis
 AI methods such as machine learning
 Computational intelligence: fuzzy logic, neuronal networks, evolutionary algorithms
Research Methods in STEM (6 CP)
 Specialisation and its connection to the broader research field
 Developing and applying a research design for academic projects
 Research methods in STEM: types, applications, and evaluation
 Selecting and defending research methods for specific problems
Deutsch (6 CP)
 Fundamentals in listening, reading, writing and speaking
 Basic grammatical skills
 Application in situations of everyday life
  
Artificial Intelligence (6 CP)
 Development of the AI and essential concepts
 Agents
 Knowledge-based systems
 Logics
 Machine learning and data mining
Smart Technologies within the Value Chain (7 CP)
 Industry 4.0 technologies within individual business processes of a manufacturing company (production IT, big data analytics, internet of things, artificial intelligence)
 Industry 4.0 technologies within individual business process sections
 Data security
 Impacts and effects of Industry 4.0
Organisational Transformation & Business Model Innovation (6 CP)
 Impact of Digitalisation on Business Models and Organisational Development
 Promoting Soft Factors: Innovation, Corporate Culture, and Leadership
 Managing Change Projects: Importance of Corporate Culture and Ethics
 Applying Design Thinking to Define Problems and Solutions
 Analysing and Describing Digital Business Models Using the Business Model Canvas
Connectivity, Cloud Computing & Internet of Things (6 CP)
 Connectivity (e.g. networking, mobile radio, mobile devices)
 Coud Computing (architecture, service concepts, intersection Big-Data and AI)
 Sensor system (e.g. temperature sensors, position and acceleration sensors, pressure sensors)
 Intelligent Things
 Technology concepts of modern digitalisation
Information Security (6 CP)
 Technical basis
 Threats and risks
 threar prevention 
 ISMS
  
Ethics & Law (5 CP)
 Basics of Data Protection Law and Practical Application
 Identifying Sensitive Data and Developing Solutions
 Ethics and Compliance in Big Data Analysis
 Data Protection as a Business Opportunity
Digital Factory & Cyber-Physical Systems (6 CP)
 Basics of cyber-physical production systems
 Fundamentals and application of robotics
 Fundamentals and classification of additive manufacuring
 Sustanability and ethical aspects in the context of smart production
Technology & Sustainability (5 CP)
 The role of different actors in sustainable development
 Sustainability assessment of products, services and processes
 Technology transfer as an instrument of sustainable development 
 Sustainability relevant fields of technology
Enterprise Architecture Management (6 CP)
 summary EAM
 organisational anchoring of EAM
 business and IT-strategy
 IT systems and IT architecture
 EAM tools
Applied Project I (6 CP)
  
Master’s Thesis and Colloquium/Defence (25 CP)
Applied Project II (6 CP)
  
Subject to change.
Full-time on Campus
In our Master’s degree programme “Digital Technologies & Management” 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 Essen and 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.
with at least 40 credit points in (business) computer science or (business) engineering or from related modules (e.g. mathematics, statistics)
 or
 Successfully completed oral admission examination based on a written essay.
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