Data Science and Engineering (DSE)

Our Data Science and Engineering (DSE) research group designs and implements applications for the recording, integration, management, search and analysis of data.

Our research group

We develop data science applications for structured and unstructured data using cutting-edge methods (mathematics, statistics, machine learning), processes (Scrum, Design Thinking) and technologies (Spark, Tensorflow, R). Our expertise covers a wide range of areas of application (CRM, administration, GIS).

Range of services

In cooperation with national and international partners from industry, public administration and universities, we carry out application-led research projects on data-oriented applications:

  • Concept formulation and architecture design
  • Consulting and expert opinions on technologies and business cases
  • Modelling and consulting with regard to business processes
  • Design, development and evaluation of data analysis models
  • Implementation of application prototypes
  • Provision of individualised training

Areas of expertise

Modelling and analysis of structured data

The storage and management of structured data in an SQL database requires a carefully designed data model, as subsequent modifications usually involve significant cost and effort. With our many years of experience, we would be pleased to advise you on modelling. We can also support you with the development of complex projects and evaluations.

Analysis of unstructured data (text analysis, NLP)

We develop solutions for the automated analysis of texts (web, social media, e-mails, documents). This enables targeted information to be obtained (“Which products are mentioned?”), texts to be classified (“Is the e-mail an order or a support request?”) and compared (“Which other e-mails refer to the same problem?”).

Linked data, open data and semantic web

Linked data or ontologies allow knowledge to be formalised and evaluated, for example, as the basis for text analysis, semantic search or expert systems (decision-making support). This kind of (and other) data is also increasingly available publicly (open data).

Agile development of prototypes

We use agile methods – such as Design Thinking and Scrum – when developing new applications. This allows us to design key functions efficiently, to test out alternatives and to develop meaningful prototypes.

Geographical information systems (GIS)

The analysis and visualisation of geographical data generate new information and intuitively open up accessible insights into questions concerning geography. We support the design and implementation of geographical data analyses and the set-up of related databases and geographic information systems based on Esri ArcGIS or open source GIS solutions.


Contact us or meet our experts in person at various events. Collaboration produces win-win outcomes for everyone concerned – your company, society and the university.