Digital Engineering - Electrical Engineering Bachelor of Science (B.Sc.)

3 Years On Campus Bachelors Program

University of Siegen

Program Overview

The Digital Engineering - Electrical Engineering B.Sc. at the University of Siegen is a unique 7-semester program that blends electrical engineering with computer science, perfect for students excited about building energy-efficient systems, autonomous vehicles, and smart networked devices. You'll gain hands-on skills in core electrical engineering like circuit technology, measurement technology, control, and signal processing, alongside modern computer science topics such as programming, software engineering, AI, and machine learning—ideal if you love solving real-world problems with electronics, data, and algorithms.

Curriculum structure
(Semesters 1-4): You'll start strong with a solid foundation in mathematical and scientific basics, diving into Mathematics for Electrical Engineers I-III, Technical Mechanics for Electrical Engineers, and Physics for Electrical Engineers I & II to understand the principles behind electrical systems. At the same time, you'll explore Fundamentals of Electrical Engineering I-III and Algorithms and Data Structures I, building the tools to analyze signals, fields, and data—setting you up to tackle complex engineering challenges early on. Practical elements like programming internships kick in, making sure you're applying theory right away in an interdisciplinary way.

(Semesters 5-6): Here, the focus shifts to core electrical engineering subjects with labs, where you'll master Digital Technology, Control Engineering, and Fundamentals of Communications Engineering to design systems that communicate and automate seamlessly. You'll also cover Semiconductor and Circuit Technology, Power Electronics & Drive Technology, and advanced topics like Electrical Measurement Technology and Introduction to Machine Learning, blending hardware expertise with AI for cutting-edge applications like image processing. Electives in business basics or technical languages sharpen your professional edge.

(Semester 7): Your final semester ramps up with a Bachelor thesis and deeper integration of Numerical Methods, Discrete Mathematics, and Object-oriented and Functional Programming, letting you specialize in areas like embedded systems or communication networks. This capstone year emphasizes practical, application-oriented projects, often tying into industry internships, so you graduate ready to innovate in digital engineering.

Focus areas: Embedded systems, image processing, communication networks, AI, machine learning, signal processing, and control systems—tailored to blend engineering hardware with intelligent software.

Learning outcomes: Graduates design interactive electronics with algorithms and data, handle big data via data mining and expert systems (like large language models), and create autonomous, networked solutions with strong math foundations in analysis, linear algebra, and numerical methods.

Professional alignment (accreditation): This accredited B.Sc. program meets German engineering standards, preparing you for Industry 4.0 roles with equal parts electrical engineering and computer science—complete a 14-week pre-study internship for real-world readiness, and it's even available as a dual co-op study with company work.

Reputation (employability rankings): Excellent career prospects due to high demand for these hybrid skills in automation, communication, and AI; the program's ties to regional industry and top research ensure strong job placement, with direct professor access and practical labs boosting your edge.

Experiential Learning (Research, Projects, Internships etc.)

In the Digital Engineering - Electrical Engineering B.Sc. at the University of Siegen, you'll dive hands-on into building real-world systems right from the start, blending electrical engineering with programming and AI through practical labs and projects that mirror industry challenges. You'll work in small groups in specialist laboratories, gaining skills in everything from circuit design to machine learning applications like image processing and embedded systems. This application-oriented approach ensures you're not just learning theory—you're creating energy-efficient devices, communication networks, and smart automation tools with direct feedback from professors.

Here are some standout ways you'll build practical expertise specific to this program::

- Laboratory practicals tied to core modules, like Digital Technology, Control Engineering, Semiconductor and Circuit Technology, Power Electronics & Drive Technology, and Electrical Measurement Technology, where you experiment with real circuits, signals, and high-frequency systems in dedicated engineering labs.
- Programming internships and group projects in object-oriented/functional programming, algorithms, data structures, machine learning, and software engineering, often focusing on interdisciplinary topics like embedded systems and intelligent systems.
- Pre-study internships of at least 14 weeks required before your third semester, plus options for a practice-integrated dual study track combining university with paid company work for on-the-job experience.
- Specialist laboratories for deepening skills in areas like automation technology, electronic systems, image sensing/processing, and embedded systems, with small-group settings and close professor access.
- Software and digital tools including programming environments for AI/machine learning, data mining, image processing, and tools for numerical methods, discrete math, and signal processing simulations.

This is your chance to shape cutting-edge tech careers—apply now and let's get you started! For the full facilities list, check [University of Siegen facilities overview]

Progression & Future Opportunities

In the Digital Engineering - Electrical Engineering B.Sc. at the University of Siegen, you'll dive right into hands-on learning from day one, building real-world skills in designing systems for measurement, communication, analysis, and automation through practical modules and labs. You'll work with cutting-edge topics like embedded systems, image processing, and communication networks in an application-oriented way, blending electrical engineering with programming, AI, and machine learning. The program emphasizes laboratory practicals tied to core subjects, plus a required pre-study internship of at least 14 weeks to give you industry experience before your third semester—there's even a dual co-op option where you alternate studies with paid work at a company.

This practical focus means you'll get your hands on specialized tools and facilities designed for these skills:
- Laboratory practicals in key areas like Digital Technology, Control Engineering, Power Electronics & Drive Technology, Semiconductor and Circuit Technology, Electrical Measurement Technology, and High Frequency Technology, all part of the core curriculum.
- Programming internships and hands-on modules in object-oriented/functional programming, algorithms, data structures, machine learning, and software engineering.
- Specialist laboratories for deepening knowledge in small groups, covering topics like automation technology, electronic systems, image sensing/processing, embedded systems, and communication/information technology (some in English).
- Pre-study internship (minimum 14 weeks) and optional practice-integrated dual study with company phases during breaks for real job training.
- Project work integrated into advanced modules, fostering teamwork on systems like those in signal processing and AI applications.

These opportunities will set you up perfectly for a career in energy-efficient systems, autonomous tech, or smart networks—apply now and shape your future here in Siegen!