Computational Social Systems

An interdisciplinary master's program integrating skills and expertise in algorithmic systems and data science with social science theories and ethics

Curriculum

The curriculum is divided in three areas of study: Research Skills, Computer Science, and Social Sciences & Humanities. Depending on your choice of Major in Social Data Science, Human Technology Interaction or Ethics of Human Technology Relations, you will focus more on courses from the Computer Science area or the Social Sciences & Humanities area. All students of this program have to pass the 3 basic courses. Besides these compulsory basic courses, within their respective chosen Major, each student has to pass 4 compulsory courses, choose supplementary courses from both Computer Science and Social Sciences & Humanities, work on a Research Project, and write their Master Thesis.

There are 3 basic courses that every student of the program has to attend. Additionally, there will be 4 compulsory courses, depending on the elected Major in either Human Technology Interaction, Social Data Science or Ethics of Human Technology Relations, and a corresponding Research Project. Details on the majors can be found in their respective tabs.

Basic Courses
  • Introduction to Algorithmic Societies
  • Ethics, Technology and Data
  • Theories of CMC and HCI
Major Specific Courses
  • 4 Compulsory Courses
  • Electives Computer Science
  • Electives Social Sciences & Humanities
Research
  • Research Project
  • Master Thesis
  • Master Colloquium
Major Social Data Science
Major Specific Courses Basic Courses Research
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  • 2 Electives Computer Science
  • 2 Electives Social Sciences & Humanities
  • 2 Free Electives
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  • Research Project
  • Master Thesis
  • Master Colloquium

Example Study Plan

CP Semester 1 (WS) Semester 2 (SS) Semester 3 (WS) Semester 4 (SS)
1 Introduction to Algorithmic Societies Social Networks Research Project Major Social Data Science Master Thesis and Colloquium
2
3
4
5
6
7 Introduction to Data Science Ethics, Technology and Data
8
9
10
11
12 Elective Computer Science
13 Social Data Science
14
15
16
17 Text Mining
18 Elective Computer Science
19 Theories of CMC and HCI
20
21
22
23 Free Elective
24 Elective Social Sciences & Humanities Elective Social Sciences & Humanities
25
26
27
28
29

Free Elective
30

31


32


33


34


Major Specific Courses Basic Courses Research
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  • 2 Electives Computer Science
  • 2 Electives Social Sciences & Humanities
  • 3 Free Electives
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  • {{course}}
  • Research Project
  • Master Thesis
  • Master Colloquium

Example Study Plan

CP Semester 1 (WS) Semester 2 (SS) Semester 3 (WS) Semester 4 (SS)
1 Introduction to Algorithmic Societies Reflecting Human-Technology Interaction Research Project Major Human-Technology-Interaction Master Thesis and Colloquium
2
3
4
5
6 Knowledge Representation and Autonomous Systems
7 Empirical Methods and Experiment Design in Psychology
8
9
10
11
12 Individuals and Technology – Advancing Seminar 1
13 Theories of CMC and HCI
14
15
16
17 Ethics, Technology and Data Free Elective
18 Elective Computer Science
19
20
21
22 Elective Social Sciences & Humanities Free Elective
23
24 Elective Social Sciences & Humanities
25
26
27 Elective Computer Science Free Elective
28
29
30
31

32


Major Specific Courses Basic Courses Research
  • {{course}}
  • {{course}}
  • 2 Electives Computer Science
  • 2 Electives Social Sciences & Humanities
  • 3 Free Electives
  • {{course}}
  • {{course}}
  • Research Project
  • Master Thesis
  • Master Colloquium

Example Study Plan

CP Semester 1 (WS) Semester 2 (SS) Semester 3 (WS) Semester 4 (SS)
1 Introduction to Algorithmic Societies Ethics, Technology and Data Research Project Major Ethics of Human-Technology Relation Master Thesis and Colloquium
2
3
4
5
6 Applied Ethics 2
7 Applied Ethics 1
8
9
10
11 Reflecting Human-Technology Interaction
12 Theories of CMC and HCI
13
14
15
16 Elective Social Sciences & Humanities
17 Introduction to Data Science Free Elective
18
19
20
21 Elective Social Sciences & Humanities
22 Free Elective
23 Elective Computer Science
24
25
26 Elective Computer Science
27 Free Elective
28
29
30
31

Course Catalogue

Catalogue Computer Science
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