BI Norwegian Business School

BI Norwegian Business School is an internationally oriented business school. It combines solid business administration expertise with forward-looking topics such as digitalization, sustainability, and AI.

As part of the Norway Mobility Program, data science talents have the opportunity to contribute their professional expertise to projects at BI Norwegian Business School – with a focus on digital innovation, data-driven business models, and algorithmic decision-making in business and society.

NORA - Norwegian Artificial Intelligence Research Consortium

Die BI Norwegian Business School ist ein Partner von NORA, der Norwegian Artificial Intelligence Research Consortium. Dieses Programm zielt darauf ab, die norwegische Forschung, Ausbildung und Innovation im Bereich der künstlichen Intelligenz, des maschinellen Lernens und der Robotik sowie andere relevante Forschungsarbeiten zu stärken, die die Entwicklung von Anwendungen der künstlichen Intelligenz unterstützen.

Gemeinsam mit HIDA organisiert NORA das Norway Mobility Program, das Promovierenden und Postdocs aus der Helmholtz-Gemeinschaft und den NORA-Partnerinstitutionen die Möglichkeit zu einem Forschungsaufenthalt eröffnet.

Mehr über das Exchange Programm erfahren

BI Norwegian Business School is an internationally recognized, research-driven business school with a strong commitment to academic excellence and societal impact. It offers a vibrant environment where applied research, innovation, and education intersect, fostering close collaboration between scholars, students, and industry professionals.

Research at BI often addresses pressing challenges in business and society, and is carried out in partnership with leading companies, public sector institutions, and international organizations. Interdisciplinary approaches are actively promoted, especially within the context of digital transformation and responsible leadership.

Research Priorities:

Sustainable Economy and Infrastructure Systems
- Innovative business strategies, green financing models, sustainable supply chains, as well as smart mobility and infrastructure concepts aimed at promoting ecological and economic resilience.
Digital Transformation and Artificial Intelligence
- Application of data science, machine learning, AI-driven corporate management, and strategies for digital value creation and cybersecurity in companies and organizations.
Health Economics and Care Management
- Management-oriented research on increasing efficiency in healthcare, the financing and organization of care services, and health promotion measures in businesses and society.
Education, Learning, and Leadership
- Didactic innovations, digital learning technologies, and strategies to foster lifelong learning, leadership skills, and entrepreneurial education in a changing educational landscape.
Climate Change, Environmental Policy, and Regional Economic Strategies
- Economic analysis of environmental challenges, sustainable regional development, and policy instruments to address climate change and promote environmental responsibility in business and society.

More than 20 000 students are enrolled at BI Norwegian Business School.

Die Standorte

Die BI Norwegian Business School ist auf vier Standorte verteilt:

Oslo (Hauptstandort)
Bergen
Stavanger
Trondheim

BI Norwegians Business School's expertise in the field of Data Science and AI

At BI Norwegian Business School, data science and artificial intelligence represent a core pillar of interdisciplinary research with a strong application focus across business, public administration, and society.

Machine Learning and Decision Intelligence
- Development of intelligent models for data-driven decision-making in management, marketing, and finance.
Big Data Analytics and Cloud-Based Business Models
- Leveraging large datasets to generate competitive advantages and enhance efficiency in dynamic markets.
Explainable and Trustworthy AI in Business Contexts
- Research on transparency, fairness, and accountability of AI systems in operational and strategic management.
AI-Driven Solutions in Business and Society
- Applications in areas such as human resources, consumer behavior, sustainability strategies, and public administration.
Intelligent Systems and the Digital Platform Economy
- Analysis and design of digital ecosystems, platform markets, and automated services.
Learning Analytics and Intelligent Learning Technologies
- Use of AI to optimize teaching, learning, and professional development processes in higher education and corporate environments.