The Master of Science in Web and Data Science teaches specialised knowledge for analysing data and for designing and developing Web and data-intensive systems. Germane to such development and analysis is the understanding of the Web and data ecosystems as being multi-faceted, governed by technologies, economics, and social interactions of humans, interest groups, companies and governments. This Master's degree qualifies graduates of the programme for independent, academic work, lays the foundations for further development of the subject area, and is the preparation/prerequisite for doctoral studies. The objective of the curriculum is to achieve a foundational understanding of Web and data-intensive systems as being derived from techno-sociological interactions. For this purpose, the programme broadens and deepens competencies in designing and developing Web and data-intensive systems, in automated analysis of data in general and Web data (content, links and usage) in particular. The programme also covers the interaction of Web and data-intensive systems with legal constraints (e.g., digital rights), group processes (e.g., social network analysis), economic behaviour (e.g., marketing and online consumer behaviour) and political processes in the Web (e-participation). The course of studies deepens the ability to formulate problems and to undertake the resulting tasks in working teams and promotes qualifications beyond the scope of studies. Furthermore, the aim is for graduates to perform duties independently and take on challenging tasks related to analysing data, generating a data narrative, developing an interactive Web presence and developing a Web and/or data strategy for companies and governments addressing the needs of customers and other end users. Particular objectives of the curriculum are: Graduates have comprehensively internalised the concepts and competencies acquired with their Bachelor's course of studies. Thus, beyond meeting the educational goals of their Bachelor's studies for study-specific competencies and general competencies, they have acquired an increased maturity and confidence in applying these concepts and competencies also to novel problem domains. They have deep knowledge about data analysis and visualisation, the development of Web systems, Web strategies and the development of the Web and data ecosystems as wholes. They possess profoundness and broadness in order to work their way into future technologies in their own field as well as the periphery of their own area/field. They are able to successfully apply the acquired knowledge of Data Science and Web Science for the formulation and solution of complex problems in research and development in the public sector, in ICT industry or research institutions, and to critically question the acquired knowledge and if required to further develop it. They have acquired various technical and social skills, such as the capacity to abstract, systems thinking, the ability to communicate and work in teams, and international and intercultural experience. They are thus prepared for managerial/executive functions. They have become familiar with academic work in fundamental research and fulfil the prerequisites for progressing on to a doctorate.

Web and Data Science (MSc)

Web and Data Science (MSc)

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Web and Data Science (MSc)

University of Koblenz - Landau