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

Curriculum

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:

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.
The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.
Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.
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).
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).
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.
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: http://unipedia.uni-koblenz.de/index.php?title=En%3AMaster_Web_Science

Modules

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	M ining 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.

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

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