Digital Technologies & Management

Program Overview

Digital Technologies & Management

Master of Science (M.Sc.)

Degree

Master of Science (M.Sc.)

Description

The intelligent connection of IT and business management systems enable more flexible, individual and more efficient production as well as the optimisation of the entire value chain. The core elements of Industry 4.0 are automation standardisation, digitalisation, networking and the integration of hardware and software.

Specialised experts with business management know-how and comprehensive skills in key technologies are required for the implementation. The “Digital Technologies & Management” Master’s degree programme at FOM University of Applied Sciences prepares students for demanding positions by combining business and management knowledge with expertise in digital transformation.

Locations

• Essen

Duration

4 Semester including Thesis

Credit Points

120 ECTS

Total costs

22.500,00 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.

Career Prospects

• Industrial Engineer
• Production Engineer
• Technical project manager
• Quality Officer/Manager
• Project Manager
• Operations Manager
• Consultant

Study Programme

1st semester

• 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 systems
  • 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

2nd semester

• 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)
  • Cloud 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
  • Threat prevention
  • ISMS

3rd semester

• 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 manufacturing
  • Sustainability 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)

4th semester

• Master’s Thesis and Colloquium/Defence (25 CP)
• Applied Project II (6 CP)

Admission Requirements

• University degree with 180 ECTS
  • 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.
• English language level B2

Tuition Fees

• Total fees: 22.500,00 euro (including examination fee and immatrculation fee)
• Tuition fee: 22.500,00 euro
  • 1st instalment (Deposit fee): 500 euro (has to be paid after receiving the invoice in order to secure the admission)
  • 2nd Instalment: 13.257,75 euro (Payable immediately upon receipt of invoice before the 1st semester)
  • 3rd Instalment: 8.742,25 euro (Payable before the 3rd semester)

Application

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

Download

• Application form: ApplicationManagement.pdf
• Flyer: FlyerManagement.pdf