Learn about the impact of AI on knowledge work. Applications for our AI@Work course are open!
Tinbergen Institute’s field courses in Business Data Science make top-notch faculty and expertise accessible to a broader audience.
Deepen your knowledge and learn about the impact of AI on knowledge work: understand how to effectively and responsibly develop, deploy, and manage AI in organizations.
Join the AI@Work Course during the first block of academic year 2024-2025, from September 2 – October 25 at our location in Amsterdam. The course is part of the two-year research master Business Data Science.
The AI@Work Course will teach you how to:
- reflect on the potential impact of AI solutions on (knowledge) work and recommend useful frameworks for managing AI in practice;
- recognize socio-technical challenges when developing and implementing AI in organizations;
- explain and use relevant theories and concepts from the fields of management, organization, and information systems;
- articulate the relevance of the problem, theories, and contribution in a research proposal;
- critically reflect on literature and engage in meaningful discussions with peers in a reading group setting.
Each session will be run by a different researcher from the KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam (Ella Hafermalz, Marleen Huysman, Tomislav Karacic, Anne-Sophie Mayer, Mohammad Rezazade Mehrizi, Anastasia Sergeeva). Each with a background in various business research fields.
Who Should Apply?
Registration for external participants and (external) PhD students has now opened for academic year 2024-2025. The deadline for registration is three weeks before the start of the course (August 15, 2024). Apply here!
More Elective Courses
Explore full list of elective courses in Business Data Science. Course descriptions for 2024-2025 will be available at the end of July. Descriptions from current academic year can be found here (url remains unchanged): businessdatascience.nl/courses
Block 1 | September 2 – October 25
AI@Work (3 ECTS)
Decision Theory for Business (4 ECTS)
Marketing Science (3 ECTS)
Social Network Analysis (3 ECTS)
Decomposition Methods (3 ECTS)
Heuristic Optimization (3 ECTS)
Scientific Integrity (contd. Block II and III) (1 ECTS)
Academic Writing (contd. Block II and III) (1 ECTS)
Block 2 | October 28 – December 20
Machine Learning 1 (4 ECTS)
Advanced Machine Learning (4 ECTS)
Social Media Data Analytics for Business (3 ECTS)
For Blocks 3-5, check our website and registration pages.