Reutlingen University of Applied Science

Reutlingen University of Applied Science (Hochschule Reutlingen) is one of 107 universities included in U-Multirank for Germany. Reutlingen University of Applied Science is a small public university located in Reutlingen with 5646 students enrolled (2017 data or latest available). It was founded in 1855. With regard to the scope of its subjects and degree programmes offered, the Reutlingen University of Applied Science is a broad institution. It offers programmes in foreign languages. It is characterised by a high percentage of international students. The graduation rate of Reutlingen University of Applied Science is 64,43 (bachelors) and 65,79 (masters). Its overall profile shows top performance across various indicators, with 7 ‘A’ (very good) scores overall. For a comprehensive overview of this university’s performance, see its complete performance scores in the tables below.

Reutlingen University of Applied Science
Alteburgstr. 150
72762 Reutlingen
Germany
0049-7121-271 1073

http://www.reutlingen-university.de

Compare Reutlingen University of Applied Science to other universities

U-Multirank's unique 'Sunburst chart' gives an illustration of a university's performance profile across the five U-Multirank dimensions. These are indicated in different colours. For instance, the teaching and learning dimension is symbolised by the colour green. Each 'sunray' represents one of the thirty plus U-Multirank indicators. The longer the ray, the better the performance of an institution on the selected indicator: a full-length ray stands for 'top group' performance, whereas a short ray means 'weak' performance. A missing sunray indicates that the specific data indicator is not available. An institution's performance in an indicator can be identified by moving the cursor over the rays. A key guard for the sunburst chart is provided here .

Explanation for sunburst
Teaching & Learning
Score
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Student-staff ratio

30.8

113.9

5.1

Graduating on time (bachelors)

8.8

%

0

100

Graduating on time (masters)

40

%

0

100

Academic staff with doctorates

100

%

11.1

100

Contact with work environment (bachelors)

5

/9

0

9

Contact with work environment (masters)

3

/9

0

9

Gender balance

Teaching & Learning (Students’ views)
Score
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Overall learning experience

1.63

6

1

Quality of courses & teaching

1.86

6

1

Organisation of program

1.47

6

1

Contact with teachers

1.51

6

1

Inclusion of work/practical experience

1.58

6

1

Library facilities

1.39

6

1

Laboratory facilities

6

1

IT provision

1.85

6

1

Digital teaching

1.34

3.37

Room facilities

1.99

6

1

Research
Score
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External research income

31.9

0.1

367.9

Doctorate productivity

0.03

0

1.05

Research publications (absolute numbers)

4

1

2,538

Citation rate

Top cited publications

0

27.2

Interdisciplinary publications

Research orientation of teaching

6

1

Knowledge Transfer
Score
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Income from private sources

33

%

0

100

Co-publications with industrial partners

Publications cited in patents

BA theses in cooperation with private organisations

29,91

%

MA theses in cooperation with private organisations

43

%
International Orientation
Score
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International orientation of bachelor programmes

6

/13

0

13

International orientation of master programmes

6

/13

0

14

Opportunities to study abroad

1.61

6

1

International doctorate degrees

0

89.47

International joint publications

International research grants

1.5

0

100

Regional Engagement
Score
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Student internships in the region

0

100

Regional Publications with Industrial Partners

Regional joint publications

Income from regional sources

16,09

%
General
Score
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Total number of students in field (major)

861

Academic staff (fte)

53

Percentage of female students

28

%
Additional information
Score
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See this department in the national CHE Ranking

Profile in teaching & learning

Software technology / industry related lectures, theoretical computer science including labs, human machine interfaces, media technologies (video, audio, design)/ project based learning (Bachelor- and Master-projekt)/ IT-Management, Mobile und Cloud Co...

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Teaching & learning website

Profile in research

Cognitive Sciences incl. autonomous driving, interaction design, CVE (Collaborative Virtual Environments), AAL, Ambient Intelligence, EHealth, Pervasive Multimedia Systems, Computer Assisted Medicine, digital transformation, Big Data.

Research website

Major profile of faculty

medical informatics

Where to study in Germany

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