Institute for Web Science and Technologies · Universität Koblenz - Landau
Institute WeST

MSc. Web Science

As of Fall 2019 the program "Master in Web Science" will not accept new students. Instead, we will offer the program "Master in Web and Data Science". Starting from winter semester 2019/20, all newly incoming students will be automatically enrolled to "Master in Web and Data Science". If your application interface still says Master in Web Science, then it's due to the ongoing adaptation and will soon change to its correct naming.

Course Structure


Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English. The curriculum is organized in seven module groups:

  1. Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

  2. The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

  3. Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

  4. The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

  5. Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

  6. Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training.

  7. The topic of the master's thesis can also be freely chosen from any Web Science subjects.

Prof. Staab and René Pickhardt from WeST about various disciplines merging in Web Science.

Wiki Page with Information on the Cource Contents

Students from the M.Sc. Web Science programme created a Wiki page with helpful information about the programme:


The following table provides a detailed overview of the curriculum. It shows all modules that are eligible for Web Science students according to examination regulations. Please note that not all modules are offered each semester; a list of currently available modules can be found here.

ID Module Hours Credits Language
  1. Foundations of Web Science   14  
04IN2026 Introduction to Web Science L4+T/S2 8 en
04IN2027 Network Theory and Dynamic Systems L3+T1 6 en
  2. Computer Science   18  
04IN1021 Web Retrieval L2+T/S2 6 en
04IN2023 Semantic Web L2+T/S2 6 en
04IN2012 Web Engineering L2+T/S2 6 en
  3. Web and Society   12  
  Elect 2 modules      
04WI2010 E-Participation L2+T/S2 6 en
04IM2006 Online Consumer Behavior L2+T/S2 6 en
04IM2008 New Product Development L2+T/S2 6 en
04IN2042 Computational Social Science L2+T/S2 6 en
  4. Elective Courses in Computer Science   18  
  Elect 3 modules      
04IN2048 Probabilistic functional programming L2+T2 6 en
04IN2028 Machine Learning and Data Mining L3+T1 6 en
04IN2029 Artificial Intelligence 1 L2+T2 6 en
04IN2043 Data Science L2+T/S2 6 en
04IN2047 Process Mining L2+T2 6 en
04IN2037 Software Language Engineering L2+T2 6 en
04WI2021 Digitale Kommunikation L2+T2 6 de
04IN1017 Java EE Web-Applikationen L2+T2 6 en
04IN2022 Advanced Data Modeling L2+T2 6 en
04WI2013 Enterprise Architecture Modeling L2+T/S2 6 en
04WI2016 Business Process Management L2+T/S2 6 de/en
04WI2004 Mobile Application Systems L2+T/S2 6 de
04WI2019 Business Software L2+T/S2 6 de/en
04IN2008 Empirical Software Engineering L2+T2 6 de/en
04IN2045 Mining Software Repositories L2+T2 6 en
04IN2009 Vertiefung Softwaretechnik L2+T2 6 de
04IN2016 Effiziente Graphenalgorithmen L/T4 6 de
04WI2025 Sicherheit für mobile Systeme L2+T/S2 6 de
04FB2002 Research Paper in computer science Report 6 en
  The following further modules are electable: a. all modules from 2. Computer Science that were not yet elected to satisfy requirements for 2. b. further computer science that will be offered with relationship to the Web (e.g. networks, programming, etc.)      
  5. Elective Interdisciplinary Courses   12  
  Elect 2 modules      
04WI2007 Research Methods L2+T2 6 en
04WI2012 Public Governance & Open Government L2+T/S2 6 en
04WI2001 Advanced Enterprise Information Management L2+T/S2 6 en
04WI2023 Digital Rights and E-Transactions L2+T/S2 6 en
04WI2006 Simulation and Agent-based Systems L2+T/S2 6 en
04WI2020 Business Collaboration L2+T2 6 de/en
04IM2013 Recht II 2L2 6 de
04WI2024 IT-Risk-Management L2+T/S2 6 de
04WI2022 Informationsgesellschaft L2+T/S2 6 de/en
04IM1016 Entrepreneurship L2+T/S2 6 de
04IM2009 Scientific Entrepreneurship and Technology Transfer L2+S2 6 de/en
04IM2010 Wissens- und Kooperationsmanagement L2+T2 6 de/en
04IM2017 Net Economy L2 3 en
03MA2502 Optimization (prerequirements: Analysis, Lineare Algebra, Numerik und Modellieren L4+T/S2 9 en
03MA2503 Numerics for Partial Differential Equations (prerequirements: Analysis, Lineare Algebra, Numerik und Modellieren L4+T/S2 9 en
03MA2501 Applied Differential Equations L4+T/S2 9 en
03MA2504 Integer Optimization L4+T/S2 9 en
04FB2010 Interdisciplinary Research Paper (same format 04FB2002 research paper in computer science, can be written in addition) Report 6 en
  The following further modules are electable:
a. all modules from 3. Economics and Social Science that
were not yet elected to satisfy requirements for 3.
b. all modules relevant to Web Science offered by other
departments, such as linguistics, anthropology, political
science, etc.
  6. Research Work, Seminar and Soft Skills   16  
04FB2003 Research Lab in Web Science (including team and leadership training) T2+P6 12 de/en
04IN2039 Seminar in Web Science S2 4 de/en
04FB2004 7. Master Thesis   30  
   Total   120  

Legend: L = Lecture, T = Tutorial, S = Seminar, P = Placement/Lab

Recommended Timetables

We compiled two timetables, one for students starting in summer term and one for those starting in winter term. These timetables are only a recommendation that should help you succeeding in our programme within 2 years. Feel free to choose courses for each semester by yourself. You can even choose the amount of courses each term and do our programme in less or more semester, als long as you finish all required modules.

Timetable suggestion for students starting in winter term
Download our Timetable suggestion for students starting in winter term (pdf)


Timetable suggestion for students starting in summer term
Download our Timetable suggestion for students starting in summer term (pdf)