Study Planning

Studying can be a challenge not only in terms of content, but also in terms of organisation. The department of etit supports you in mastering these challenges. Here you will find an overview of all advisory and information services as well as a download area for all important documents that support you in planning your studies.

Information about the upload of the Examination plans and the module handbooks

Please note that all versions of the Examination plans and module handbooks of the Examination regulations 2014 AND the new Examinations regulations 2023 are accessible via moodle.

Information on the transition PO2014 - PO2023

From the winter semester 2023/24, first-year students will be enrolled in the new examination regulations (PO 2023). Here we inform students in the previous examination regulations (PO 2014) about all important topics concerning the new examination regulations.

Our academic advising team offers assistance with any questions you may have about our degree programmes.

  Name Contact
Dr.-Ing. Andreas Haun
Academic Couselling Industrial Engineering etit and on general questions
+49 6151 16-20211
S3|21 103.0
Dipl.-Biol. Ulrike Gloger
Academic Counselling Studying Abroad
+49 6151 16-20243
S3|21 102
Dr.-Ing. Emna Zoghlami EP Ayari
Academic Counselling Information Systems Technology
+49 6151 16-20240
S3|21 101
PD Dr.-Ing. Oktay Yilmazoglu
Academic Counselling Electrical Engineering and Information Technology
+49 6151 16-20218
S3|21 103.2
PD Dr.-Ing. Oktay Yilmazoglu
Academic Counselling Mechatronics
+49 6151 16-20218
S3|21 103.2
Melanie Herzog M.A.
Academic Counselling Medical Engineering
+49 6151 16-20241
S3|21 101.1
Jan Christopher Hesse M.Sc
Academic Counselling Energy Science and Engineering
+49 6151 16-25674
S3|21 302

To help you find your way through your studies, we offer events that provide orientation on topics as diverse as choosing a specialisation, trouble shooting, and studying abroad. You can find the current dates of the events in TUCaN.

Topic Target group
1. Semester:
Introduction to the studies
(every winter term)
  • B.Sc. Electrical and Information Engineering (etit)
  • B.Ed. Electrical and Information Engineering (etit)
  • B.Sc. Mechatronics (MEC)
3. Semester:
Specializations selection
(every winter term)
Bachelor-thesis and internships for master studies
(every winter term)
  • B.Sc. Electrical and Information Engineering (etit)
  • B.Sc. Mechatronics (MEC)
1. Semester:
Introduction to the studies
(every summer and winter term)
  • M.Sc. Electrical and Information Engineering (etit)
  • M.Sc. Mechatronics (MEC)
  • M.Sc. Information Systems Technology (iST)
Effective trouble-shooting
  • Students with problems in their studies
Study abroad
  • Students interested in studying abroad
Orientation for incoming students
  • Incoming students

Specialisations and focal points

From your 3rd semester onwards, you can choose a specialisation in your degree programme. The specialisation helps you to specialise in a certain field of your studies. Different specialisations are available depending on the degree programme.

In the “Downloads” section you will find the study plans for all specialisations as well as an overview of all modules that can be taken.

Automation Systems are concerned with the development and implementation of processes and machines that perform certain operations without any need for human involvement. Important core topics in the field of Automation Systems include control engineering, process control systems and robotics.

Today, applications for automation systems can be found in nearly all technical fields, plants and products.

The focus area Computer Engineering offers a solid but broad knowledge in the usage of computer networks, CAD-systems and industrial-oriented software development frameworks. A modern and industry-oriented education towards todays needs within information technology is offered. Specialized lectures and seminars, also in close cooperation with the department of informatics at TU Darmstadt, enable the education of software-engineering with a special focus on embedded (real-time) systems.

Computer Engineering is employed in wide-ranging fields of application, such as automotive systems, aerospace, medical engineering or communication industry.

Computational Methods in Electrical Engineering (CMEE) is concerned with the application of the universally valid Maxwell equations to specific practical problems with the aid of simulation programmes. In this focus area, students are therefore taught numerical methods of electrical engineering in theory and practice.

Computer-aided simulation is employed today in all fields of electrical engineering and is therefore considered a third pillar alongside theory and experimentation.

Electrical Power Engineering is highly versatile and covers all issues relating to the generation of electricity, power distribution and consumption. There are numerous interfaces between electrical power engineering and other technical specialisms and topics. In addition, IT, politics, business and other fields are becoming ever more relevant.

The application field of electrical energy supply is of fundamental importance for modern societies. In the context of the energy transition, there are many exciting challenges in which you can participate.

The Communication and Sensor Technology specialization deals with the recording, processing and transmission of electromagnetic, acoustic and other signals. The central goals are to extract as much useful information as possible from the recorded signals and to transmit this information as quickly, reliably and energy-efficiently as possible. The in-depth study spans the entire spectrum from sensors (antenna, RF front-end,…), signal processing in the digital baseband (algorithms), and of course theory (communication theory, fundamental limits of information theory, and network information theory).

Thematically, this mainly concerns the institutes for communications engineering and microwave engineering/photonics.

Sensors, Actuators and Electronics are no longer separatable functional units, but are functional and special tightly integrated. The design of such a system without excellent knowledge of the functional and physical properties of the sensors/actors, as well as of the physical readout and associated signal-conditioning by analog and digital electronics is no longer possible.

In literally all fields of engineering complex sensor, actor and electronics based systems are present, such as automotive, industrial control and medical engineering, e.g. airbags, precision positioning systems, surgery and diagnostics tools.

The specialization Distributed Autonomous Systems considers the coordinated interaction of individual dynamic systems (in computer science we speak of agents), which exchange information via different information technology paths (usually networks of different topology and concrete technical realization), in order to achieve an improved overall system behavior through this information networking or to realize completely new system properties, which would not be possible without the networking. Central aspects that are treated in the specialization are distributed signal processing algorithms and distributed control algorithms (networked control) that are used, for example, in the field of networked production and in the field of autonomous driving.

The basic modules in the bachelor's degree and the mandatory basic modules in the master's degree are those that provide the mathematical theoretical tools for the special lectures in the area of specialization.

Thematically, this mainly concerns the institutes for communications engineering and automation engineering.

In the Medical Engineering degree programme, you can take courses from four different areas of specialisation from the Master's degree onwards. You do not have to commit to one focus, but can combine the courses of the different focuses as you wish.

Innovative 3D technologies have changed the range of activities of surgeons and dentists as never before in history. However, this does not only affect medical work on patients. In the immediate environment, too, more and more new, mainly engineering-based, occupational fields are emerging in industry, as well as in the hospitals themselves. Applied medical technology is one of the largest industrial growth markets worldwide.

Fields of application

Clinical application of surgical robotics and navigation procedures can be found primarily in the fields of neurosurgical neuronavigation, spinal and pelvic surgery in trauma surgery and oncological urology. In digital dentistry, this mainly concerns dental implantology, jaw reconstruction and the provision of customised dentures.

Focus in teaching

The students gain comprehensive insights into the principles and modes of operation of medical scanning procedures with which 3D patient treatment data are generated, their software-based evaluation, their further use for treatment planning and the technological transfer to the actual treatment situation through navigation, robotics or 3D printing in the clinical application fields of surgery and dentistry. To this end, they are familiarised with the associated medical engineering procedures and device technologies, also through practical exercises and in the clinical environment of patient treatments, in such a way that they can independently develop further questions.

Occupational fields

The career fields that open up lie in almost all engineering subject areas, from electrical, sensor and measurement technology and robotics to computer science and mechanical engineering. A professional activity can later be in industry, e.g. in product development, but also close to clinical application in the context of patient treatment.

Medical imaging and image processing deals with the generation, visualisation, analysis, processing and storage of medical images in digital form.

Fields of application

Important fields of application are computer-aided diagnostics and therapy as well as surgery and radiotherapy. Established image-generating methods include computer tomography, magnetic resonance imaging, other X-ray-based methods and sonography. Methods and algorithms from the fields of graphic data processing, artificial intelligence and signal processing are used to analyse and process the generated images. For visualisation, more and more “augmented reality” and “virtual reality” methods are being used. Standards and procedures from the field of medical information systems are suitable for storing and forwarding image data.

Teaching focus

The focus is on visualising, analysing and processing medical images. Lectures on image and graphic data processing teach the basics for manipulating, transforming and displaying images. In addition, functional principles of image-generating processes with their underlying physical measurement principles are presented and classified with regard to their suitability for specific medical issues.

Lectures on medical image processing and visualisation, on clinical requirements for medical imaging, on the interaction and role distribution of humans and computers in this area, on the basics of augmented and virtual reality as well as on signal processing methods for biomedical applications build on these basics. In addition, there are lectures on topics such as “Deep Learning for Medical Imaging” or “Deep Generative Models”, in which machine learning methods are used. Practical courses, project seminars (POLs) and seminars complement the range of lectures described. They offer students the opportunity for both a practical examination of established methods of medical imaging and processing, as well as research-related participation in the development of future methods in this extraordinarily important and dynamically developing area of medical technology.

Occupational fields

The career fields that open up lie in almost all engineering subject areas – also outside of medical technology in the narrower sense – in which methods of image processing are used. A professional activity can later be in research in the development of basic methods or in industry in product development, but also close to clinical application in the context of patient treatment.

The focus deals with the connection of high-precision miniaturised sensors and actuators with modern signal processing and artificial intelligence methods. The integration of these systems is the basis for increasingly powerful methods in medical diagnostics and therapy. This creates numerous fields of activity for interdisciplinarily trained engineers in a fascinating area of medical technology and one of the largest industrial growth markets worldwide.

Fields of application

Electronic and optical sensors are indispensable for modern medical technology. Their applications range from point-of-care diagnostics with lab-on-chip systems to the characterisation of pathological tissue in hospitals and telemedical support for chronically ill patients at home. In the early diagnosis of diseases, the rapid and inexpensive butgas and biomarker determination for pathological changes is also becoming increasingly important. In therapy, systems of sensors and actuators in combination with neurostimulation and artificial intelligence are now opening up fascinating new ways to restore limited or lost bodily functions.

Teaching focus

In the courses, students learn the basics of the function and manufacture of sensors and the processing of their signals for physiological and molecular variables. Actuators and methods for the feedback of signals in interactive systems and intelligent prostheses form a further core of the focus. Extensive practical relevance is conveyed by participation in everyday clinical practice or in the laboratory as well as work on own development projects in small teams. In this way, they build up the competence to develop medical engineering systems themselves to meet current challenges with the latest technologies and to accompany them in their application.

Occupational fields

The interdisciplinary education opens up career opportunities in many sub-areas of electrical engineering, mechanical engineering and computer science – both at the interface with medicine and on their own. A professional activity can later be in industry, for example in medical technology product development, but also close to clinical application, as a device manager in clinics or in medical technology research.

Radiotherapy is one of the essential tools of cancer therapy. The techniques for the precise irradiation of tumours have been continuously developed and improved for several decades in interdisciplinary cooperation. Technical innovations in recent years have contributed to further advances in patient irradiation. In addition to more compact accelerators, new strategies for beam application and combination with imaging before, during and after the actual therapy are decisive.

Fields of application

The main use of radiotherapy is the local treatment of solid tumours throughout the body, often in combination with chemotherapy or surgery. Most devices in clinical use use compact electron linear accelerators to generate either electron or photon beams that deliver a targeted dose to the patient. However, particle accelerators that generate high-energy protons or ion beams also represent a rapidly growing field.

Focus in teaching

The students gain comprehensive insights into the structure and functional principles of the devices for beam generation from the X-ray tube to the synchrotron and the necessary control and regulation technology for the operation of such facilities. Further contents are the techniques of beam application such as intensity-modulated rotation methods or the scanning of particle beams as well as the basics of inverse radiation planning and the underlying applied informatics. Modern radiotherapy is inconceivable without imaging, so applications in radiation planning, image guidance and patient positioning are explained.

Practical exercises and insights into the clinical environment of patient treatments enable the students to develop further questions independently.

Occupational fields

Radiation therapy offers numerous professional fields, from electrical engineering applications in the production and development of accelerators and beam application to informatics in radiation planning and real-time control technology of the systems to patient-oriented professional fields in the clinics, the so

B.Sc./ M.Sc. MedTech: Important information for participation in all module courses at the Frankfurt-Niederrad Campus (Frankfurt University Hospital)

Information on measles protection according to the German Protection against Infection Act (Infektionsschutzgesetz)

Measles protection according to the Infection Protection Act has been in effect since March 2020 and is mandatory for all students at the Niederrad Campus. This means that you must provide us with proof of your measles protection in order to attend courses.

The aim of the law is to improve individual protection against measles, especially for people who regularly come into contact with others in healthcare facilities. Thus, in the medium to long term, the global goal of the WHO is to completely eliminate measles. More information on this can be found on the pages of the Federal Ministry of Health.

People are considered protected if they have received two measles vaccinations in their lifetime or have serologically proven immune protection.

Please contact your family doctor in this regard. The measles vaccination is usually covered by the statutory health insurance as a catch-up vaccination.

For this purpose, please have your family doctor fill out the measles vaccination form (opens in new tab) and then send it to the following e-mail address: