Wu Vienna focuses on Data Literacy - the future of data analysis!

Wu Vienna focuses on Data Literacy - the future of data analysis!

Wirtschaftsuniversität Wien, 1020 Wien, Österreich - The Economic University (WU) Vienna has established “Data Literacy” as a new focus to prepare students for the requirements of an increasingly data -based world. According to Oe24 founded, which introduces a data focused branch of business and social sciences from the study year 2026/27.

This initiative aims to convey not only technical knowledge, but also economic thinking. The focus is on the connection of modern data analyzes with social responsibility to enable sound strategic decisions.

strategic priorities and research

The new department is equipped with 24 academic bodies, including six professorships. Research areas include analytical and data-controlled solutions in areas such as automation, supply chain optimization, personnel and customer management as well as fraud detection. The use of artificial intelligence (AI) is also particularly relevant to develop personalized recommendations. Data Analyst emphasizes that the integration of AI companies opens up new perspectives by complex patterns, by complex patterns recognized and precise forecasts for business decisions.

The fields of application of this research are diverse and extend over the areas of climate, energy, mobility, crisis management and security. In a world that is increasingly dominated by data, the development of data -based strategies is of central importance.

interdisciplinary training

parallel to the WU, the TU Bergakademie Freiberg offers a master's program in "Data Literacy and Business Analytics". TU Freiberg also relies on an interdisciplinary approach, linked statistics, computer science, economy and ethics. The students acquire extensive skills in data collection, processing, analysis and interpretation, so that they are able to implement data -based solutions.

The practical application of data is funded by project modules and case studies that are carried out in cooperation with industry and the public sector. Central attention is on the promotion of knowledge in the area of machine learning and the use of AI in business applications.

The role of AI in data analysis

The increasing importance of AI for data analysis should not be underestimated. AI systems support companies in recognizing trends early by efficiently analyzing large amounts of data and gaining valuable insights. These technologies improve the basis for decision -making through real -time analyzes and contribute to the minimization of human errors. Like Data Analyst , open AI applications to open competitive advantages and optimize internal processes.

However, there are also challenges in the integration of AI, such as data management and ensuring data quality. Companies have to take strategic measures to overcome these hurdles, including training for employees and investments in modern technologies.

Overall, the initiatives of the WU Vienna and the TU Freiberg underline the growing importance of data literacy and the strategic use of data in today's economy.