Two students in library

CHE University Ranking

Computer Science, Department

Technische Fakultät

Friedrich-Alexander-Universität Erlangen-Nürnberg

Technische Fakultät
Department Informatik
Martensstraße 3
D-91058 Erlangen
https://www.fau.de
Uni Erl.-Nürnb./Erlangen
Department on the internet
Map of Germany

Activate DAAD map

To activate the map, click on the "Show map" button. We would like to point out that data will be transmitted to OpenStreetMap after activation. You can find out more in our privacy policy. You can revoke your consent to the transmission of data at any time.

Map material from the free geographic information system OpenStreetMap. The DAAD explicitly does not adopt the information provided there (names, boundaries, etc.) in every case. No guarantee is given for the accuracy of this information.

Legend:

  • Department

Basic information

Total number of students at the department

2,660

Number of master degree students (w/o teacher qualification)

1,240

Percentage of teaching by practitioners

no data

Percentage of teaching by practitioners, master's

no data

Support during the study entry phase

Total score for support in the study entry phase

11/16 points

Job market- and career-orientation

Bachelor theses in cooperation with work environment

no data

Master theses in cooperation with work environment

no data

Research

Publications per academic

no data

Not specified
Third party funds per academic

135,400 €

Doctorates per professor

1.2

Students' assessments on undergraduate, presence-learning-courses

Teacher support

Not specified
Support in studies

Not specified
Courses offered

Not specified
Study organisation

Not specified
Exam organisation

Not specified
Digital teaching elements

Not specified
Research orientation

Introduction to scientific work

Not specified
Offers for career orientation

Not specified
Practical orientation in teaching

Not specified
Support for stays abroad

Not specified
Rooms

Not specified
Library

Not specified
IT-infrastructure

Not specified
Overall study situation

Not specified
Return rate of the questionnaires

no data

Further information provided by the department

Special features regarding teaching in the bachelor's degree programme

Wide range of courses in a large faculty with 15 chairs and a wide choice of elective options (specialisations and minors). Integration in the Faculty of Engineering enables an engineering focus. Many tutorials so that content from the lectures can be practised in small groups in the form of board and computer exercises. Feedback is provided in the form of corrected exercise sheet submissions; The large number of research projects means students receive both a research-oriented and a practical education.

Special features regarding teaching in the master's programmes

Wide range of courses in a large faculty with 15 chairs and a wide choice of elective options (specialisations and minors). Integration in the Faculty of Engineering enables an engineering focus. Maximum freedom of choice in terms of specialisation thanks to a flexible pillar model

Special features regarding the international orientation

International degree programs, such as an MSc in artificial intelligence and computational engineering, that are very popular (a very high number of applicants).

Exchange universities for stay abroads

EPF Ecole d'Ingenieurs, Frankreich; Umeå universitet, Schweden; Norges Teknisk-Naturvitenskapelige Universitet, Norwegen; Université du Québec à Montréal, Kanada; Universidad Politécnica de Madrid, Spanien; Università della Svizzera italiana, Schweiz; National Taiwan University, Taiwan; University of Sheffield, Vereinigtes Königreich; Osaka University, Japan; Chungnam National University, Südkorea

Special features regarding the equipment

Modern equipment of high-performance computer workstations with 24-inch monitors including the software licenses needed for training; campus-wide WiFi; Modern hardware development spaces; Embedded systems laboratory; Robotics laboratories; Graphics/virtual reality laboratory; High performance cluster; 3D projection system; Automotive lab, large historical computer technology collection with a working Zuse Z23; Supercomputers "Fritz" and "Alex" as part of the Erlangen National High Performance Computing Centre (NHR@FAU)

Special features regarding research activities

Important research topics of the Computer Science department are artificial intelligence, data modelling/simulation, embedded systems engineering, foundations of computing, high-performance computing, IT security and visual computing. Cooperation with Fraunhofer IIS in the field of artificial intelligence, cooperation with Siemens, Adidas and many mid-sized companies in the Nuremberg metropolitan region. Establishment of a National Centre for High Performance Computing (NHR@FAU).

Other special features

FAU is one of the most innovative universities in the world.; Comprehensive concepts of FAU on diversity and sustainability; Establishment of a Green Office; Research strength in the field of electromobility and solar energy

Further information on research activities

Information on access restrictions

https://www.fau.de/education/bewerbung/

Website of the Student Council

online-application

Legend

Groups

green

top group

yellow

middle group

red

bottom group
Not specified
not specified

Acronyms

(S) = Students' judgements

(F) = Facts

(P) = Professors' judgements

Units

Value in percent

Value in points

Euro

Thousand Euro

Last Update 2024: Data collected by the CHE Center for Higher Education
DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service