PROGRAM:

B. Eng. Digital Industrial Engineering

MODE:
Full-time, On-site
LEVEL:
Bachelor of Engineering
LANGUAGE :
English
DURATION :
7 semesters
LOCATION:
Munich, Siemens Neuperlach Campus
CREDITS :
210 ECTS
PRICE:
4.800 € / Semester
START DATE:
March 2026
October 2026
SCHOLARSHIPS:
Up to 80% for high-performing students.

Shape the Future of Smart Factories, Automation, and Industry 4.0

Digital transformation is redefining how modern industries operate. Companies now depend on intelligent systems, smart machines, connected production, and data-driven automation.

The B.Eng. in Digital Industrial Engineering at MUDT prepares you to design, integrate, and optimise these next-generation industrial systems.

This program combines engineering, computer science, and industrial technology, giving you the hybrid skillset that global employers need today.

This program is being prepared for launch in October 2026.

Specialisations

The Digital Industrial Engineering program allows students to tailor their studies through focused specialisation areas. These tracks help students deepen their expertise in the technologies and methods shaping modern industry—ranging from IoT and automation to simulation, embedded systems, and smart product development.
By choosing a specialisation, students can align their learning with their career goals and build a strong professional profile in high-demand fields.

Specialisations

Smart Product & System Development

Focus on designing and developing digital or physical products for industrial use.
Includes: PLM, rapid prototyping, 3D printing, digital image processing, lifecycle management.

Digital Manufacturing, Simulation & Process Optimization

Focus on improving industrial processes using digital twins, simulation, quality methods, and sustainable engineering.
Includes: digital twins, simulation, Lean/Six Sigma, sustainable manufacturing, quality management.

Embedded Systems & Digital Hardware Integration

Focus on microcontrollers, digital circuits, sensors, actuators, and embedded programming.
Includes: C/C++, embedded systems, digital circuits, real-time computing, device integration.

Industrial IoT & Industry 4.0 Technologies

Focus on connecting machines, sensors, and devices into smart industrial systems.
Includes: IoT, Industrial IoT (IIoT), M2M communication, OT networks, Industry 4.0 applications.

Why Digital Industrial Engineering at MUDT:

Industry-focused curriculum aligned with Industry 4.0, IoT, automation, and embedded systems.

Located on the Siemens Neuperlach Campus in Munich, offering direct exposure to leading tech companies.

Strong hands-on learning with active learning environments, real devices, and project-based modules.

Flexible electives and cross-program options (AI, Cyber Security, Software Engineering).

Excellent career prospects in Germany’s fast-growing high-tech and manufacturing sectors.

Study plan: B. Eng. Digital Industrial Engineering

Below is a semester-by-semester breakdown of the study plan for the Digital Industrial Engineering program, focusing on foundational knowledge, advanced specialization, and practical experience.

Summary of Total ECTS

Core Modules: 124 ECTS
Elective Modules: 48 ECTS
Internship: 30 ECTS
Bachelor Thesis: 8 ECTS
Semester 1 :
Semester 1:
30 ECTS
  1. Mathematics (Calculus & Linear Algebra)
  2. Scientific Working
  3. Network and Internet Technologies
  4. Software Applications and Technology
  5. Basics of Programming with Python
  6. Personal Development – Intercultural Communication
  7. Foreign Languages I
Semester 2 :
Semester 2:
30 ECTS
  1. Basics of Database
  2. AI and Machine Learning
  3. Object-Oriented Programming
  4. Operating Systems
  5. Managing Projects and Tasks
  6. Career Planning
  7. Foreign Languages II
Semester 3 :
Semester 3:
30 ECTS
  1. Introduction to Digital Industrial Engineering (Industry 4.0 & IoT Basics)
  2. Digital Circuits and Systems
  3. Programming for Hardware Applications
  4. Elective I
  5. Elective II
  6. Personal Development – Teaming Up
Semester 4 :
Semester 4:
30 ECTS
  1. Sensors & Actuators in Industrial Applications
  2. Basics of Embedded Systems
  3. Basics of Computer Simulation & Digital Twin
  4. Elective III
  5. Elective IV
  6. ESG and Sustainability
Semester 5 :
Semester 5:
30 ECTS
  1. Internet of Things (IoT)
  2. OT Networks and Communication Protocols
  3. AI and Machine Learning
  4. Elective V
  5. Elective VI
  6. Career Planning II
Semester 6 :
Semester 6:
30 ECTS

Practical Semester

A dedicated internship semester gives you the chance to work in an industrial company and apply your skills in real transformation projects.

Semester 7 :
Semester 7:
30 ECTS
  1. Bachelor Thesis
  2. B.Sc. Seminar
  3. Elective VII
  4. Elective VIII
  5. Business Ethics and Entrepreneurship

Elective Courses – Personalize Your Study Journey

To help you shape your own academic profile, the Digital Industrial Engineering program offers a selection of elective modules from Semester 3 onward. These electives allow you to explore specialized areas, deepen your knowledge in topics that interest you most, and tailor your degree toward your desired career path in Industry 4.0, IoT, automation, or sustainable engineering.

1) Product Life Cycle Management (PLM)

Learn how products are managed from design to retirement, including market analysis, life-cycle strategies, and digital tools used in modern product management.

2) Rapid Prototyping / 3D Printing / Additive Manufacturing

Covers 3D printing technologies, materials, CAD modeling, and how prototypes are developed for engineering and industrial applications. Includes hands-on laboratory work.

3) Quality Assurance, Management & Testing

Introduction to ISO standards, Six Sigma, statistical quality control, testing methods, and process improvement techniques used in manufacturing and engineering.

4) Machine-to-Machine (M2M) Systems

Focuses on communication between machines, sensors, and devices using modern M2M protocols. Students design a simple M2M system used in industrial automation.

5) Digital Image Capture & Processing

Learn the fundamentals of imaging, enhancement, segmentation, and computer-vision techniques used in industrial inspection, robotics, and automation. Includes practical lab work.

6) Sustainable Manufacturing & Green Technologies

Explores eco-design, life-cycle assessment (LCA), energy efficiency, and sustainability strategies in modern manufacturing environments.

7) Industrial IoT (IIoT)

Covers IIoT architecture, sensors, gateways, edge computing, predictive maintenance, and building complete IIoT solutions for industrial applications. Team-based project included.

Cross-Program Electives

In addition to program-specific electives, students also have the opportunity to choose from selected elective modules offered by other bachelor programs at MUDT, including:

  • B.Eng. Cyber Security

  • B.Eng. Software Engineering

  • B.Eng. Data Science and Artificial Intelligence

This allows you to broaden your knowledge, gain interdisciplinary skills, and build a study profile that aligns even more closely with your professional ambitions.

Who Should Apply?

This program is ideal if you:

  • enjoy math, technology, engineering, and problem-solving,
  • are curious about smart factories, automation, and connected devices,
  • want to work at the intersection of engineering + IT + industry,
  • like practical projects and building real systems.

Qualification Goals

1

Knowledge & Understanding: Graduates have solid foundational knowledge in mathematics, computer science, engineering principles, and interdisciplinary problem-solving.

2

Making Judgements: Graduates are able to evaluate technical solutions, assess risks, and make informed decisions in professional engineering contexts.

3

Learning Strategies & Innovation: Graduates demonstrate curiosity, self-directed learning, and the ability to adapt to new technologies and industrial developments.

4

Applying Knowledge: Graduates can apply engineering methods, analytical thinking, and scientific approaches to solve real-world industrial challenges.

5

Communication Skills: Graduates can communicate technical information clearly, work in interdisciplinary teams, and present results effectively.

6

Engineering Practice: Graduates can use modern engineering tools, laboratory setups, and digital systems relevant to industrial operations.

7

Responsibility & Ethics: Graduates understand ethical, environmental, and societal responsibilities in engineering and digital transformation.

1

Industry 4.0 & IoT Competence: Graduates are familiar with the latest technologies and trends in Industry 4.0, IoT, automation, and embedded systems.

2

Software & Programming Skills: Graduates can use essential software tools and languages such as Python, C/C++, CAD, simulation tools, and data analysis platforms for industrial engineering applications.

3

Digital Process Improvement: Graduates know how to use Lean, Six Sigma, Digital Twin, and quality management tools to improve industrial processes.

4

Integration of Digital Hardware Systems: Graduates understand digital circuits, embedded systems, and can integrate hardware and software components in industrial applications.

5

Hands-on Experience with Sensors & Industrial Communication: Graduates gain practical experience with microcontrollers, sensors, actuators, and communication protocols such as Modbus, OPC-UA, CAN Bus.

6

Key Digital Technologies (IoT, CPS, AI): Graduates develop expertise in IoT, cyber-physical systems, and artificial intelligence as applied to industrial systems.

1

Self-reflection & Personal Growth: Students reflect on strengths, weaknesses, and personal learning strategies.

2

Communication & Presentation Skills: Students develop clear communication skills for diverse professional contexts.

3

Collaboration & Teamwork: Students learn to work effectively in interdisciplinary and multicultural teams.

4

Ethical & Responsible Action: Students understand ethical responsibilities, sustainable thinking, and professional integrity.

5

Social Responsibility & Engagement: Students gain awareness of social impact, community engagement, and the societal role of technology.

6

Project Management & Time Planning: Students strengthen their organizational, time-management, and planning skills.

7

Leadership Potential: Students develop leadership awareness, conflict resolution approaches, and decision-making abilities.

8

Lifelong Learning & Adaptability: Students develop the ability to adapt to new environments, technologies, and learning challenges.

Career Paths & Prospects:

Graduates of Digital Industrial Engineering (B.Eng.) are prepared for a wide range of roles that combine engineering, automation, software, and digital technologies. They are highly sought after in smart manufacturing, robotics, automotive, aerospace, energy, logistics, and technology companies.

Graduates may work in:
automotive, automation, robotics, aerospace, electronics, logistics, energy, and industrial tech startups

such as:

Embedded / Firmware Engineer
IoT & Industrial IoT (IIoT) Engineer
Automation & Smart Factory Engineer
Robotics & Systems Integration Engineer
Digital Twin & Simulation Engineer
Process & Production Optimization Engineer
Industry 4.0 / Digital Transformation Consultant

Salaries & Market Outlook:

Germany is a global leader in advanced manufacturing and automation, creating excellent job prospects:

Starting salaries: €50,000–€65,000
Experienced roles: €70,000–€90,000+
Strong demand driven by Industry 4.0, smart factories, robotics, and digitalization
Munich offers some of the highest engineering salaries in the country

Digital Industrial Engineering is one of Germany’s fastest-growing engineering fields, offering stable, well-paid, and future-proof careers.
{ Start your journey at MUDT and become the engineer who shapes the future of digital industry }

Industry Cooperation

Faculty Expertise:

Our faculty combine strong academic backgrounds with real industry experience in automation, IoT, embedded systems, digital manufacturing, and Industry 4.0—ensuring students learn modern, practical, and future-oriented engineering skills.
BIO

Ewa Currie, M.A.

BIO

Khaleeq Aziz

BIO

Dr. Arash Habibi Lashkari

BIO

Yılmaz Çankaya

BIO

Dr. Francisco Manuel Rangel Pardo

BIO

Dr. Jose Angel Gonzalez Barba

BIO

Dr. Marc Franco Salvador

BIO

Prof. dr. Jack Mochyla

BIO

Dr. Agnieszka Dziedzic

BIO

Prof. Dr. Pawel Gburzynski

How to apply

1

Submit Your Application:

Create an account, select your study program, and upload the required documents. We’ll confirm once everything is submitted.
2

Pass the Interview:

If your documents are approved, you'll be invited to an online interview. Succeed, and you'll receive a conditional acceptance.
3

Sign and Pay:

Return the signed study contract and complete the enrollment fee and deposit to secure your spot

Receive Your Admission Letter
Congratulations, you’re in!

Ready to shape the future of industry? Join us and embark on a path that combines engineering excellence with digital innovation!

Apply now