Engineering Informatics

The program offers a high degree of individual flexibility. Students can choose from a pool of courses in each of the three core areas: General Computer Science, Practical and Theoretical Computer Engineering, and Economics, as well as in key skills. In the project, students integrate the knowledge gained in the individual courses into a cohesive whole and demonstrate how they can apply their acquired knowledge in a scientifically sound and practical context. Beyond factual knowledge, they demonstrate social skills within a project team, as well as organizational and motivational abilities. The project forms the basis for the master's thesis in the final semester.

The courses listed below are intended as an example of a typical course of study. Courses in the Elective pools can easily be taken in a different order or arrangement. The numbers indicate for each semester how many hours per week or how many credit points are allocated to the respective subject.

The detailed study program with Electivemodules can be found in the module handbook.

Who is the Master's program in Computer Engineering suitable for?
Besides our Bachelor's graduates in Computer Engineering, the Master's program in Computer Engineering is particularly well-suited as a logical Furtherfor graduates of related Bachelor'sDegree Courses, especially those with a broad focus on fields such as computer science, mechatronics, or other engineering disciplines. Simply have your degree checked for compatibility and schedule a personal consultation.

Practical relevance through research:
The Institute for Technology and Computer Science (ITI), which is relevant to the study program, offers diverse development and research activities on interesting and current topics in engineering informatics such as autonomous driving, assistance systems, mobile robotics and 3D printing.

The Master's program qualifies you for academic work and leadership positions. Graduates find challenging roles in companies in the automotive, mechanical engineering, railway, aerospace, and medical technology sectors. Germany has a long tradition of excellence in these disciplines, and their growing demand for IT expertise has exceeded supply for years.

Smart Factory Lab:
Intelligent manufacturing in the Smart Factory aims to optimize production processes based on information technology. Cyber-physical systems and the Internet of Things (IoT) connect workplaces and production lines with server- or cloud-based applications to optimize, for example, maintenance cycles using big data tools.

The Smart Factory Lab (SFL) addresses tasks within this context, with a focus on the human element. For example, prototypes of worker assistance systems are developed and tested. Human-robot collaboration is a key component of the digital transformation of production. In addition to a traditional industrial robot, the Smart Factory Lab utilizes several collaborative and lightweight robots. These advanced manufacturing techniques can be taught and applied in R&D projects using a variety of 3D printers and gantry milling machines.

Computer Vision Lab:
In the Computer Vision Lab, research and teaching in the fields of Artificial Intelligence and Machine Learning, Mobile Robotics and Autonomous Driving, as well as 3D Image Acquisition and Simulation, come together.

The laboratory has 10 fully equipped workstations. The equipment includes state-of-the-art 2D and 3D image acquisition systems. In addition to a comprehensive range of standard image processing cameras and associated lenses, depth cameras and other high-quality systems, such as an Artec EVA-M 3D scanner, are available. For projects and teaching in the fields of artificial intelligence, deep learning, and 3D simulation, two high-performance computing servers have been installed. These servers enable realistic simulation environments for testing driver assistance systems and autonomous vehicles, as well as efficient training of artificial neural networks.

Embedded Systems Lab:
Here, everything revolves around the development and programming of computer systems embedded in devices and machines. Complex systems are controlled by combining hardware and software. In the various courses, you will learn how to program microcontrollers, evaluate sensor data using digital signal processing, and precisely control and regulate motors and actuators with the help of real-time systems. The recently modernized lab is equipped with state-of-the-art facilities for the design, construction, and evaluation of embedded systems. Development and testing environments for commercially available microcontrollers are provided. Fully equipped assembly, soldering, and measurement stations are available for the development and testing of electronic and hardware components, where newly designed systems are built and evaluated. Here, you will put your knowledge and ideas into practice in exciting projects, some of which are based on current research.

degree

Master (M.Sc.)

Standard period of study

4 semesters

Accreditation

ASIIN Düsseldorf

Study options

Full-time studies

Main language of instruction

German

Study location

Giessen

Cost

Semester fee

Requirements

The prerequisite for admission to the program is a completed university degree (Bachelor's, Diploma) with a final grade of at least "good" (2.5 or better) in Computer Engineering, Computer Science, or a related field. In this case, you should possess knowledge of mathematics for engineers, the fundamentals of electrical engineering, and programming experience, as well as specific experience in embedded systems and software engineering. If you do not yet possess all of these skills, that is not a problem. You can acquire them alongside your Master's studies within our Bachelor's program.

If you have any questions about the admission requirements or the application process, please contact the program coordinator.

Start of studies

Winter and summer semesters

Application period

June 1 to September 1 (winter semester)
December 1 to March 1 (summer semester)

Application period for international students

Applications are accepted via uni-assist from April 1st to July 15th (winter semester) and from October 1st to January 15th (summer semester)
Further information for international applicants is available from the International Office.

Application

Continue to the application