The Faculty has 29 professors across eight disciplinary groups, as well as two cross-disciplinary professorships.
Applied Statistics and Data Science
Aside from providing a foundational education in mathematics and statistics, Applied Statistics and Data Science concentrates on teaching and research on high-dimensional and non-parametric statistics, machine learning, data science, quantitative risk management, risk theory, actuarial science, and fuzzy statistics.
Auditing and Taxation
Auditing and Taxation is interested in the fields that auditors and tax consultants are active in, focusing on company pension schemes, corporate governance and the effects of regulatory measures, globalization, and digitalization on auditing and corporate taxation.
Corporate Management researches on and teaches about all questions related to corporate management, with a primary focus on theory-based empirical work in the fields of human resources, and international and customer-oriented management.
Finance, Banking and Insurance
Finance, Banking and Insurance focuses on corporate finance, banking, portfolio management, behavioral finance, risk management and insurance on the theoretical, empirical, and experimental levels.
Health Care Management
Health Care Management analyzes health care organizations and the challenges they are currently facing and will face in the future from different perspectives, using theories and methods from finance, marketing, strategy, human resource management, organizational behavior, and economics.
Digitalization is the main value driver for new business models and processes in industry, administration, and society. Information Systems focuses on the development, implementation and use of computational applications and innovations.
In addition to offering a comprehensive education in the various disciplines of marketing, Marketing places a special emphasis on quantitative research, practice-oriented teaching, and the customer-oriented development of start-ups.
Operations and Supply Chain Management
Operations and Supply Chain Management focuses on analyzing and optimizing highly complex production, logistics and transport systems is primarily carried out by mathematical optimization and algorithmic decision support, statistical analysis and simulation, as well as behavior-oriented, empirical research.
The Nucleus Professor for Information Systems and Digital Innovation explores how organizations deal with digital innovation, digital transformation, and digital entrepreneurship. It focuses on the intersection of technology, people and work, and typically tries to understand how design and process thinking can help solve problems by creating sustainable solutions.
Professor: Jan Recker
The professorship for Data Science in Business Administration/Computer Science conducts research in the field of automated communication. It deals with key technologies such as artificial intelligence for natural language processing. The aim is to research effective, inclusive, fair and sustainable AI technologies in an interdisciplinary collaboration with different disciplines and faculties.
Professor: Anne Lauscher