MSc. Web and Data Science

Curriculum

The Master of Science in Web and Data Science has a strongly self-determined course of studies: the composition/construction of the course of studies allows students greater freedom of choice and the inclusion of research, which leads to greater maturity as an academic. The interdisciplinary curriculum emphasizes computer science, data science and builds bridges to social sciences, economics, studies of the law, linguistics, and mathematics. The courses in the Master of Science in Web and Data Science are taught in English. The curriculum is organized into five module groups:

Module group	ECTS
Web Science	20
Data Science	18
Mandatory elective courses in computer science or interdisciplinary subjects	36
Research work, seminar and soft skills	16
Master Thesis	30
Total	120

1. Web Science (Three modules) establishes the main idea of Web Science, Web Engineering and Social Networking models. It provides an interdisciplinary primary view of the web and of more abstract web structures.
2. Data Science (Three modules) teaches prime concepts of Data Science relevant to Big Data and Machine Learning. It enables the student to learn how to source, analyze and communicate data along with turning analysis into useful insights and use these insights for strategic business plans.
3. Mandatory elective courses in computer science or interdisciplinary subjects (36 ECTS) are further grouped into sub-groups of Mathematical Modelling, Information management, Business informatics, Computer science, and other research-based subjects. This module allows students to choose interdisciplinary subjects to strengthen their web-related management, mathematical and technical concepts.
4. The topic of the master’s thesis can be freely chosen from any Web and Data Science subjects (30 ECTS).
5. Topics for seminars and research lab can also be freely chosen from Web and Data Science subjects. Furthermore, this module group contains a social skills and leadership training (16 ECTS).

Wiki Page with Information on the Course Contents

Students from the M.Sc. Web and Data Science program have created a Wiki page with helpful information about the program: 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 in the curriculum of Master of Science in Web and Data Science according to examination regulations. Please note that not all modules are offered each semester; a list of currently available modules can be found here.

Module nr.	Module	Type of examination	SWS	Credit points
Web Science				20
04IN2026	Introduction to Web Science	Written or oral exam	6	8
04IN2027	Network Theory and Dynamic Systems	written or oral exam	4	6
04IN2012	Engineering Web and Data-intensive Systems	written or oral exam	4	6
Data Science				18
new	Big Data	Written or oral exam	4	6
04IN2043	Introduction to Data Science	Written or oral exam	4	6
04IN2028	Machine Learning		4	6
Mandatory elective courses in computer science or interdisciplinary subjects (select modules comprising 36 ECTS)				36
Computer science
04IN2023	Semantic Web	Written or oral exam	4	6
04IN1021	Web Retrieval	Written or oral exam	4	6
04IN1017	Java EE Web Applications	Development project, presentation and discussion	4	6
New Lawonn	Visual Analytics	Written or oral exam	4	6
04CV2005	Pattern recognition	Written or oral exam	4	6
04IN2048	Probabilistic functional programming	written or oral exam	4	6
04IN2042	Computational Social Science	Written exam and assignment	4	6
04IN2037	Software Language Engineering	Written exam	4	6
04IN2045	Mining Software Repositories	Assignments and presentations	4	6
04IN2008	Empirical Software Engineering	written or oral exam	4	6
04IN2005	Human-Computer Interaction	written or oral exam	4	6
Business informatics
04WI2010	E-Participation	Seminar work and presentation	4	6
04WI2013	Enterprise Architecture	Assignment	4	6
04WI2016	Business Process Management	Written exam	4	6
04WI2021	Digital communication	Written exam	4	6
04WI2102	Risk Management in Distributed Systems	Written exam or Seminar work and presentation	4	6
04WI2025	Mobile Systems Security	Written exam or Seminar work and presentation	4	6
04WI2022	Information society	Written exam or assignment, report and presentation	4	6
04WI2004	Mobile Application Systems	Written exam or assignment	4	6
04WI2001	Advanced Enterprise Information Management	Assignment, Report and presentation;	4	6
04WI2019	Business Software	Written exam	4	6
04WI2020	Business Collaboration	Written exam or Assignment;	4	6
04WI2007	Research Methods	Assignment, Report and presentation;	4	6
04WI2103	Sicherheit in Rechnernetzen und mobilen Systemen	Assignment and written/oral exam	4	6
Information management
04IM2006	Online consumer behaviour	Written exam and Seminar work with presentation	4	6
04IM2008	New Product Development	Written exam and Seminar work with presentation	4	6
04IM1016	Entrepreneurship/Openeurship	Business Plan: Presentation and assignment	4	6
04IM2010	Entrepreneurial Strategies	Written exam, Seminar work	4	6
04IM2009	Entrepreneurial Design Thinking	Seminar work and presentation in workshop; Presentations and small seminar works in exercises	4	6
Mathematics/Mathematical Modelling
03MA2501	Applied Differential Equations	Written or oral exam	6	9
03MA2502	Optimization	Written or oral exam	6	9
03MA2503	Numerics for Partial Differential Equations	Written or oral exam	6	9
03MA2504	Integer Optimization	Written or oral exam	6	9
Others
04FB2002	Research work	Research work	Work	6
New	Elective Master Course 1 (Wahlpflicht Master Leistung 1)		2	3
New	Elective Master Course 2 (Wahlpflicht Master Leistung 2)		2	3
New	Elective Master Course A (Wahlpflicht Master Leistung A)		4	6
New	Elective Master Course B (Wahlpflicht Master Leistung B)		4	6
	Modules offered by other faculties such as social sciences political sciences and cultural sciences with a connection to Web or Data-intensive systems (Weitere Module aus dem jeweils aktuellen Angebot des Fachbereichs zu Computervisualistik nach Absprache mit Studiengangsverantwortlichen und den Ausschüssen)
Research intern Seminar and Soft Skills				16
04IN2011	Seminar Computer science	Seminar work, presentation	2	4
04FB2003	Research intern after course on team and leadership training	Project documentation, presentations	8	12
Master thesis				30
04FB2004	Master thesis and Colloquium	Thesis and presentation	2	30