Disciplinary groups

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.

Professors:

• Michael Merz: Mathematics and Statistics
• Martin Spindler: Statistics

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.

Professors

• Nicole V. S. Ratzinger-Sakel: Auditing and Corporate Accounting
• Dietmar Wellisch: International Taxation
• Yannik Gehrke: Managerial Accounting and Digitalization

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.

Professors:

• Dorothea Alewell: Human Resource Management
• Nicola Berg: Strategic Management

Finance, Banking and Insurance focuses on corporate finance, banking, portfolio management, behavioral finance, risk management and insurance on the theoretical, empirical, and experimental levels.

Professors:

• Wolfgang Drobetz: Corporate Finance and Asset Management
• Qing Liu: Maritime Economics
• Markus Nöth: Banking Management and Behavioral Finance
• Petra Steinorth: Risk Management and Insurance
• Wolfgang Bessler: Deutsche Börse Senior Professor of Empirical Capital Market Research

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.

Professors:

• Jonas Schreyögg: Health Care Management
• Tom Stargardt: Health Care Management
• Eva Maria Wild (née Oppel): Health Care Management

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.

Professors:

• Markus Nüttgens: Information Systems
• Stefan Voß: Information Systems

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.

Professors: 

• Michel Clement: Marketing and Media
• Karen Gedenk: Marketing and Pricing
• Mark Heitmann: Marketing and Customer Insight
• Kay Peters: Dialogue Marketing
• Henrik Sattler: Marketing and Branding

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.

Professors:

• Wolfgang Brüggemann: Operations Research
• Malte Fliedner: Operations Management
• Knut Haase: Transport Economics
• Simone Neumann: Sustainable Logistics And Mobility
• Guido Voigt: Logistics and Supply Chain Management

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