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Bachelor of Engineering (B.Eng.)
Degree: Bachelor of Engineering (B.Eng.)
Mechanical engineers shape industrial progress by developing systems and machines that enhance our lives. The Bachelor’s programme “Mechanical Engineering & Digital Technologies” at FOM University of Applied Sciences responds to global industry demands. It combines fundamental engineering knowledge with digital technologies in product development and production processes.
Students learn about industrial data management, production process simulation, and digital twins co-development. Graduates gain skills in networked production, mechanical and plant engineering, automotive, chemical, as well as environmental technologies.
The Bachelor’s programme “Mechanical Engineering & Digital Technologies” is taught entirely in English and will be completed with the academic degree Bachelor of Engineering (B.Eng.).
Locations
Duration
Credit Points
Total costs
Mechanical Engineering & Digital Technologies (B.Eng.)
You can take on the following jobs:
Semester Overview
Engineering Mathematics I (6 CP)
Foundations and introduction to MATLAB/Octave
Sequences and series
Differential calculus
Integral calculus
Linear algebra
Modern Materials and Operating Supplies (6 CP)
Fundamentals of metallic and non-metallic construction materials
Steels
Non-ferrous metals: aluminium, magnesium, titanium (light metals), heavy metals
Plastics (thermoplastics, thermosets, elastomers)
Composite materials and their use in mechanical engineering and transportation
Functional materials: magnetics materials, conductore materials semiconductors
Material testing (destructive, non-destructive)
Sustainability (including recycling) of materials and supplies
Industrial IT Operating Systems and Networks (6 CP)
Operating systems
Process management and memory management
File systems
Networks
Data protection and data security
Industrial Software Development (5 CP)
Programming concepts
Programming paradigms
Languages and tools
Algorithms
Time and Self Management (5 CP)
Time management
Self-optimisation methods (i.e. pareto principle, ABC-Analysis)
Learning checks
Engineering Mathematics II (6 CP)
Fourier series
Linear Algebra II
Derivative
Ordinary differential equations
Technical Mechanics (6 CP)
Basic concepts of statics: forces and their decomposition; force pairs, torsional and bending moments
Equilibrium conditions
Locating the centre of mass
Bending stress
Rigid body dynamics
Laboratory training course (6 CP)
Pendulum swing
Electrical measurements
Temperature measurement
Torque
Practical introduction to control engineering
measuring, monitoring and controlling using smartphones and embedded systems
Metrology (5 CP)
Fundamentals of physics and sensor technology
Measurement chain modelling
Temperature sensors
Kinematic and dynamic measurement
Fluid measurement technology
Sensorsystems
Scientific Working Methods (5 CP)
Research design
Basic formal requirements
Research methods
Project Management (5 CP)
Stakeholder analysis
Risk management
Scheduling and resource planning
Agile project management
Natural Sciences for Engineers (6 CP)
Vibrations and waves
Electromagnetic waves
Elementary quantum physics
Structure of matter
Elementary chemistry
Fundamentals of Construction & Maschine Elements (6 CP)
Structure of technical drawings
Construction basics
Strength, static and dynamic component verification
Clutch, gear and breaks fundamentals
Fluid Mechanics (6 CP)
Basic concepts of fluid mechanics
Hydrostatics
Hydrodynamic foundations of ideal fluids
Pipe flow
Potential flow
Applied Engineering Mathematics (5 CP)
Tensors
Autonomous Systems
Complex functions
Integral transforms
Basic terms in calculus of variations
Digital Transformation (5 CP)
Digital Business & Business Models
Trend analysis
Innovation (Lean Startup, Design Thinking etc.)
Pitching
ESG-Sustainability (5 CP)
History and definition of ESG and sustainability
Dimensions of sustainability
Corporate Social Responsibility
Interculturality and diversity
Industrial Data Engineering (6 CP)
Data in Industry 4.0
Data collection and transfer
Data quality and data security
Foundations of quantitative data analysis
Correlation analysis
Statistical experiment design
Methods and software solutions for machine learning
Electrical Engineering & Microsystem Technology (6 CP)
Direct current technology
Fundamentals of the electromagnetic field
Introduction to semiconductor and microsystems technology
Dynamics & Robotics (6 CP)
Kinematics of mass points
Robot kinematics
Kinetics of mass points
Oscillation
Project: Construction & Computer Aided Design (5 CP)
Coordinate systems
Perspectives
Building components and assembly structure
Product Innovation & Service Engineering (6 CP)
Tasks of innovation and technology management
Innovation strategies
Creativity and problem solution strategies
Role of services in the context of digitalisation
Service quality and management
Process Optimisation & Quality management (6 CP)
Introduction to quality management and its transformation to Quality 4.0
Norms and rules for quality management (QM)
Establishment and planning of a QM system
Risk management / advanced product quality planning methods
Software solutions for quality 4.0
Production Processes & Production Technology (6 CP)
Foundations of production theory and production systems
Role of safety, environmental protection and regulationsFoundations of processes (process engineering, chamical reaction engineering and environmental engineering)
Modes of operation (batch-processing, continous production, joint production)
Industrial manufacturing process in metalworking and plastics industry
Additive manufacturing processes
Sustainability in the manufacturing process
Thermodynamics (6 CP)
Energy, work, heat, temperature
ideal gases and pure substances
real fluids
heat conduction
convection component design
Actuators, Drives & Power Units (5 CP)
Electrical machines
Internal combustion engines
Hydraulics and pneumatics
Overarching aspects (i.e. energy conversion efficiency, fouling)
Smart Factory (6 CP)
Introduction to digitised production
IT systems in production and their significance for the Digital Twin.
Technologies and their application in smart factories (i.e. cloud computing, AI, cellular technology)
Sustainability aspects in the smart factory
Technology implementation challenges and the shift towards smart factories
Digital Automation Technology (6CP)
Controls (SPS/PLC; IPC)
Digital control engineering
Communication networks
Applications of industrial bus systems and networks
Cyber-physical systems
Project: Certificate Quality Management (5 CP)
Foundations of quality management and certification
Case study structure
Asynchronous group work on selected case studies
Exposé (5 CP)
Formal, methodological and content requirements in academic research and writing
Identifying research problems and developing a research question
Developing and presenting a research plan
Bachelor`s Thesis and Colloquium/Defence (12 CP)
Subject to change.
Full-time on campus
In our Bachelors degree programme “Mechanical Engineering & Digital Technologies” 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.
Notes:
*University entrance qualification includes the following:
**English language proficiency B2 / min. 785 points TOEIC / min. 72 points TOEFL IBT / or equivalent
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.
in detail:
1st Instalment (Deposit fee): €500 (has to be paid after receiving the invoice in order to secure the admission)
2nd Instalment: €11.771,67 (payable immediately upon receipt of invoice before the 1st semester)
3rd Instalment: €6.779,17 (payable before the 3rd semester)
4th instalment: €6.779,16 (payable before the 5th semester)
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