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Computer Science, Department

Mathematisch-Naturwissenschaftliche Fakultät

Humboldt-Universität zu Berlin

Mathematisch-Naturwissenschaftliche Fakultät
Institut für Informatik
Unter den Linden 6
D-10099 Berlin
Telephone: +49 30 2093-3066
https://www.hu-berlin.de

HU Berlin
Department on the internet
Online application
Student body

Basic information

Total number of students
1300
Number of master degree students
no data
Percentage of teaching by practitioners
5.0%
Percentage of teaching by practitioners, master's
5.0%

Cooperative Education

Students in cooperative education
no data
Extent of interlinking
no data

Support during the study entry phase

Total score for support in the study entry phase
10/14 points

Group 1

Results of study

Graduations in appropriate time, undergraduate degrees
44.2%

Group 3

Graduations in appropriate time, master's
22.2%

Group 3

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
3

Group 2

Third party funds per academic
106.9 T€

Group 2

Doctorates per professor
1

Group 2

Students' assessments on undergraduate, presence-learning-courses

Teacher support
2.2

Group 2

Support in studies
2.3

Group 2

Courses offered
2.5

Group 2

Study organisation
2.0

Group 2

Exams
2.1

Group 2

Research orientation
2.5

Group 2

Job market preparation
no data
Not specified
Support for stays abroad
no data
Not specified
Rooms
1.7

Group 2

Library
1.5

Group 1

IT-infrastructure
1.8

Group 2

Workstations
1.9

Group 2

Overall study situation
no data
Not specified

Degree courses without details

Further degree courses of the department
no data

Further information provided by the department

Special features regarding teaching

Focus on methodological-scientific fundamentals; early independent work; support for semesters abroad; balanced mix of theoretical, practical and technical subjects; high elective component; a lot of teamwork; research-related learning; courses at other Berlin universities are creditable; students can develop their own courses (Q-Teams); early involvement in research projects.

Exchange universities for stay abroads

Swansea University, UK; ETH Zürich, Schweiz, TU Wien, Österreich; Universitet i Bergen, Norwegen; Université de Bordeaux, Frankreich; Universitet i Agder, Norwegen

Special features regarding the equipment

Campus-wide WiFi; most lecture halls are less than 15 years old; modern lecture hall technology; diverse pool rooms, also with special equipment (hardware development, network configuration, ...); immediate proximity to the site library with many workstations; access to powerful computing resources; virtualisation; modern equipment of the lab rooms in the individual chairs; full equipment for digital teaching.

Special features regarding research activities

Three key areas in research: Algorithms and Structures, Model-Based Systems Development, Data and Knowledge Engineering; Focus on Young Scientists: Spokesperson for the DFG Research Training Group SOAMED and the Collaborative Research Centre FONDA; many interdisciplinary research projects (medicine, psychology, earth sciences, education, physics, etc.) with funding from the DFG, EU, federal government, etc.; many collaborations with other Berlin universities; close links with various non-university research institutions and the Weizenbaum Institute as well as the Einstein Centre Digital Future.

Support for founders

The institute has produced many successful start-ups in recent years, and many of the professors are involved as mentors for start-ups. There are information events for spin-offs and advisory services for potential founders. Various forms of cooperation with companies (theses, EXIST; PROFIT; BMWi/BMBF projects). Coordination by GmbH Humboldt-Innovation. Participation in nationwide (e.g. ZIM, EXIST) and state-wide (Forschungskoops, PROFIT) programmes; seminars on IT entrepreneurship; final theses with companies; HU innovation awards.

Other special features

Many cooperations with other scientific and non-scientific institutions; close cooperation of the three Berlin university computer science departments; many cooperations with natural science institutes at the Adlershof location; predominantly young professors; active student body; new B.Sc. programme IMP (computer science, mathematics, physics) with 8 semesters of standard study time; continuously high proportion of junior professors; very successful in DFG funding, especially graduate colleges, SFB and Emmy-Noether groups).

Further information on research activities

Legend

Groups

Group 1

top group

Group 2

middle group

Group 3

bottom group
Not specified
not specified

Acronyms

(S) = Students' judgements

(F) = Facts

(P) = Professors' judgements

Last Update 2021: Data collected by the CHE Center for Higher Education