MSc. Web and Data Science
- Overview
- Employability
- Excellence in Teaching
- Requirements
- Application
- Important Dates
- Curriculum
- Guidance
- Living in Germany
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 |
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 |