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Overview

Data and Information Scientists are specialists in the preparation, organization and analysis of data and information of all kinds and have in-depth knowledge of the technologies that are necessary to design different information systems.

Your skills!

  • Curiosity about data and information
  • Enjoy searching, structuring and organizing information
  • Interest in mathematics and statistics
  • no fear of contact with computer science topics
  • analytical and creative mindset
  • Perseverance and perseverance even with tricky problems
  • Enjoy interdisciplinary teamwork
  • good communication, presentation and storytelling skills

PROGRAMME STRUCTURE

he seven-semester course Data and Information Science combines the basics of classical information science with the mathematical-technical processes of data science. After a joint basic course of three semesters, it is possible to specialize in one of the two fields of study:

  • Data Analyst (specialization in economics and companies)
  • Data Librarian (specialization in education, science and research)

The combination of different compulsory elective modules also allows more flexible course planning without explicit in-depth study.

Digging into data

  • Transforming data between different formats (e.g. using regular expressions and scripting languages)
  • Identifying, analyzing and extracting different types of information (also using statistical methods)
  • Information in networks (e.g. social networks or citation data)
  • Modeling and storage of data, information and media in database systems (SQL and NO-SQL, data warehouse) and their effective connection to information systems (interface programming)
  • Extraction and aggregation of information from mass data (big data) using algorithmic processes (data mining, text mining, web mining)

Core Information Science

  • Developing information for search processes
  • Automatic indexing for search processes (automatic indexing, automatic classification, automatic abstracting)
  • Structuring of information in systems for knowledge organization (thesauri, classification systems, semantic networks, topic maps, ontologies)

Information analysis

  • Visualizing information to support effective information acquisition and information analysis
  • Informetry and measurement of impact

Information Research

  • Knowledge of information sources and the evaluation of their quality
  • Effective search and research of reliable information in external information sources (e.g. specialist databases)
  • Analysis of information for corporate decision-making processes (e.g. market and competition analysis) and disruptive developments (e.g. in e-commerce or in education and science)
  • Integrate information from different sources

Information systems

  • Programming, software development and software administration
  • Development and implementation of document and content management systems
  • Development and implementation of in-house and web systems for information retrieval (information retrieval systems, search engine technology)
  • Development and use of semantic technologies for knowledge-based systems (semantic information retrieval)

Information ethics

  • Ethical and legal evaluation of information gathering processes
  • privacy

Research data

  • Data management (e.g. creation and implementation of data management plans)
  • Data transfer and reuse of data, taking into account z. B. of licenses
  • Research lifecycle

ENTRY REQUIREMENTS

210 ECTS

CAREER PROSPECTS

Graduates of the Data and Information Science (B.Sc.) program have a wide range of career entry opportunities. The job titles are as diverse as the areas of application

Data scientist or (big) data analyst

With these or similar job titles, specialists for professional data analysis are sought across industries. The focus here is on the analysis and interpretation of facts and figures as well as the ability to convey the knowledge gained in an understandable and convincing manner. This not only requires in-depth knowledge of the visualization and preparation of data, but also very good communication and presentation skills. In addition, (advanced) programming skills are typically required.

Research and market analyst, research specialist or knowledge manager, information manager

We are looking for the "classic" information professional who combines relevant IT knowledge with predictive analytics. Information professionals research and analyze reliable information based on in-depth knowledge of sources and solid industry knowledge. Here, too, a focus is on the preparation and the corresponding visualization of this information. In addition, the organization of internal and external data (knowledge management) also plays a major role.

Data librarian or IT system librarian or employee in the field of research data management

The library-specific job boards are generally looking for employees with library skills in combination with IT skills. Programming skills, database languages, scripting languages ??and data management skills (also in the research process: research data management), library management systems and knowledge of bibliometrics and data security are required. 

 


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