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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

14

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

04WI2024

IT-Risk-Management

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

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