Karlsruhe University of Applied Sciences

Karlsruhe University of Applied Sciences (Hochschule Karlsruhe - Technik und Wirtschaft) is one of 107 universities included in U-Multirank for Germany. Karlsruhe University of Applied Sciences is a small public university located in Karlsruhe with 8255 students enrolled (2017 data or latest available). It was founded in 1971. With regard to the scope of its subjects and degree programmes offered, the Karlsruhe University of Applied Sciences is a specialised institution. It offers programmes in foreign languages. It is characterised by a high percentage of international students. The graduation rate of Karlsruhe University of Applied Sciences is 20,63 (bachelors) and 17,04 (masters). Its overall profile shows top performance across various indicators, with 5 ‘A’ (very good) scores overall. For a comprehensive overview of this university’s performance, see its complete performance scores in the tables below.

Karlsruhe University of Applied Sciences
Moltkestr. 30
76133 Karlsruhe
Germany
(0049)-(0)721/925-0

http://www.hs-karlsruhe.de

Compare Karlsruhe University of Applied Sciences 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

30.2

113.9

5.1

Graduating on time (bachelors)

88

%

0

100

Graduating on time (masters)

73.6

%

0

100

Academic staff with doctorates

59.3

%

11.1

100

Contact with work environment (bachelors)

5

/9

0

9

Contact with work environment (masters)

2

/9

0

9

Gender balance

0.76

2.86

0.01

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

1.86

6

1

Quality of courses & teaching

2.15

6

1

Organisation of program

1.58

6

1

Contact with teachers

1.94

6

1

Inclusion of work/practical experience

1.8

6

1

Library facilities

1.64

6

1

Laboratory facilities

6

1

IT provision

1.94

6

1

Digital teaching

2.37

1.34

3.37

Room facilities

2.65

6

1

Research
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External research income

40.9

0.1

367.9

Doctorate productivity

0.06

0

1.05

Research publications (absolute numbers)

3

1

2,538

Citation rate

Top cited publications

0

27.2

Interdisciplinary publications

Research orientation of teaching

6

1

Knowledge Transfer
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Income from private sources

5.7

%

0

100

Co-publications with industrial partners

Publications cited in patents

BA theses in cooperation with private organisations

89,54

%

MA theses in cooperation with private organisations

International Orientation
Score
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International orientation of bachelor programmes

7

/13

0

13

International orientation of master programmes

6

/13

0

14

Opportunities to study abroad

1.84

6

1

International doctorate degrees

0

89.47

International joint publications

International research grants

0

100

Regional Engagement
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Student internships in the region

0

100

Regional Publications with Industrial Partners

Regional joint publications

Income from regional sources

General
Score
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Total number of students in field (major)

1,450

Academic staff (fte)

53

Percentage of female students

19

%
Additional information
Score
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Profile in teaching & learning

computer science, applied computer science, software engineering, machine learning, media, business information systems

Profile in research

Machine Learning, Computers in Education, Learning in International Networks, International Business Networks, Mathematical Simulations.

Major profile of faculty

Applied Computer Science