Business Data Science

24/07/2024

Meet us at LinkedIn 👉 Here we are more active!

Get to know our research master program, students, courses, teachers and research: https://www.linkedin.com/school/businessdatascience/

22/05/2024

☀️ Looking forward to meeting you this summer - Tinbergen Institute and research master Business Data Science☀️

𝟮𝟬𝟮𝟰 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 | 𝐀𝐩𝐩𝐥𝐲 𝐭𝐨 𝐨𝐮𝐫 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐜𝐨𝐮𝐫𝐬𝐞 (𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐉𝐮𝐧𝐞 𝟏𝟕)

𝐃𝐞𝐭𝐚𝐢𝐥𝐬
Summer school: Deep Learning
Date: July 15- 19, 2024
Venue: Tinbergen Institute Amsterdam, the Netherlands
Faculty: Eran Raviv

👉 website: https://businessdatascience.nl/deep-learning-summer-course
𝐏𝐥𝐞𝐚𝐬𝐞 𝐧𝐨𝐭𝐞 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐫𝐞 𝐢𝐬 𝐚 𝐦𝐚𝐱𝐢𝐦𝐮𝐦 𝐧𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐩𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐧𝐭𝐬. 𝐖𝐞 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐭𝐨 𝐚𝐩𝐩𝐥𝐲 𝐞𝐚𝐫𝐥𝐲.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗖𝗼𝘃𝗲𝗿𝗲𝗱
💡 Introduction to Deep Learning (High-level definitions of fundamental concepts and first examples)
💡 Deep Learning components (gradient descent models, loss functions, avoiding over-fitting, introducing asymmetry)
💡 Feed forward neural networks
💡 Convolutional neural networks
💡 Embeddings (pre-trained embeddings, examples of pre-trained models, e.g., Word2Vec)
💡 Generative Adversarial Network (GAN)
💡 Advanced architectures (Densely connected networks, Adaptive structural learning)


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The summer school is organized by the research master Business Data Science, which is a joint degree program of the Erasmus School of Economics, VU School of Business and Economics, University of Amsterdam - Economics and Business University of Amsterdam - Amsterdam Business School

22/05/2024

𝟐𝟎𝟐𝟒 𝐒𝐮𝐦𝐦𝐞𝐫 𝐒𝐜𝐡𝐨𝐨𝐥 | 𝐅𝐢𝐫𝐬𝐭 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐢𝐧 𝐟𝐨𝐮𝐫 𝐰𝐞𝐞𝐤𝐬!

𝐀𝐩𝐩𝐥𝐲 𝐟𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐨𝐮𝐫𝐬𝐞 𝐢𝐬 𝐨𝐩𝐞𝐧 (𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐉𝐮𝐧𝐞 𝟐𝟒)

👉 website: https://businessdatascience.nl/machine-learning-for-business

𝐃𝐞𝐭𝐚𝐢𝐥𝐬
Summer school: Machine Learning for Business
Date: July 22-26, 2024
Venue: Tinbergen Institute Amsterdam, the Netherlands
Faculty: Eran Raviv

𝗧𝗼𝗽𝗶𝗰𝘀 𝗖𝗼𝘃𝗲𝗿𝗲𝗱
💡 Simulation, bootstrapping and subsampling for inference
💡 Advanced covariance estimation
💡 Density and quantile estimation
💡 Prediction models (Basics or neural networks, tree-based models)
💡 Dimension reduction methods (PCA, autoencoding)
💡 Outlier detection techniques
💡 Communicating machine learning outcomes to a non-technical audience


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The summer school is organized by the research master Business Data Science, which is a joint degree program of the Erasmus School of Economics, VU School of Business and Economics, University of Amsterdam - Economics and Business

29/01/2024

Application for 2024 Business Data Science Summer School is open!

Apply for our academically rigorous and rewarding summer program for research (master) students, academics, and professionals.

𝗔𝗹𝗹 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 👉 https://businessdatascience.nl/summer-school/
• 5-day certificate courses
• 3 ECTS (Note that it is the student’s own responsibility to get these credits registered at their university)
• Courses are live on campus in Amsterdam. 1 course online
• Courses are scheduled in July
• Small-scale and highly interactive
• Distinguished faculty and internationally renowned experts
• Study and socialize with an international community of motivated students and peers



Check also out the Tinbergen Institute website for more summer courses: https://tinbergen.nl/summer-school/

30/06/2023

Applications for our AI@Work course are open!

Join the AI@Work Course during the first period of this academic year, from Sep. 4 – Oct. 27 at our location in Amsterdam. The course is part of the two-year research master Business Data Science.

External candidates (such as Master and PhD students + professionals) can also join and sign up here:
👉 https://businessdatascience.nl/news/889/applications-for-our-ai-work-course-are-open?year=2023&month=06&day=30

Learn about the impact of AI on knowledge work: understand how to effectively and responsibly develop, deploy, and manage AI in organizations.
This 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 with a background in business administration/sociology/communication science/anthropology/philosophy/engineering, industrial design/computer science from the KIN Center for Digital Innovation.

Join NOW! The deadline for registration is three weeks before the start of the course.


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The research master program in Business Data Science is a joint degree program of the Erasmus School of Economics VU University Amsterdam University of Amsterdam - Economics and Business.

20/06/2023

Last week from June 15-17, 2023, the first Business Data Science - Tinbergen Institute conference took place at the Euromast in Rotterdam. It was a great success, and very memorable.

Thanks to all participants for their engagement and to Amazon for their generous financial support. A special thanks to José L. Moraga-González (Vrije Universiteit Amsterdam) for his efforts in organizing this event.

More information and some pictures can be found on our website:
🌐 https://businessdatascience.nl/news/882/first-business-data-science-tinbergen-institute-conference-a-success

Last week from June 15-17, 2023, the first Business Data Science - Tinbergen Institute conference took place at the Euromast in Rotterdam. It was a great success, and very memorable. The theme of this year's conference was ‘Consumer Search and Markets’ and it subsumed the 12th Workshop o...

12/06/2023

We look forward to welcoming al registered participants of the first Business Data Science - Tinbergen Institute conference this week.

The theme of this year's conference is 'Consumer Search and Markets', and it will take place on June 15-17, 2023 at the Euromast in Rotterdam. This conference subsumes the 12th Search and Switching Costs Workshop.

🌐 https://businessdatascience.nl/news/878/conference-consumer-search-and-markets

The first Business Data Science - Tinbergen Institute conference will take place this week on June 15-17, 2023 at the Euromast in Rotterdam. The theme of this year's conference is Consumer Search and Markets.

24/05/2023

☀️ Apply now for our 2023 Summer Courses
✍ Nearly all courses have an application deadline on June 1, 2023.

Apply now for our academically rigorous and rewarding summer program for research (master) students, academics, and professionals. The Business Data Science Graduate Program Summer School 2023 offers a range of different courses during July.

More information can be found on our website:
https://businessdatascience.nl/news/871/applications-for-our-2023-summer-courses-close-soon?year=2023&month=05&day=24



The research master program in Business Data Science is a joint degree program of the Erasmus School of Economics Vrije Universiteit Amsterdam University of Amsterdam - Economics and Business.

19/05/2023

Congratulations to our second-year research master students, Bernhard van der Sluis and Caio Vieira for being selected to present their work at academic events!

Congratulations to our second-year research master students, Bernhard van der Sluis and Caio Vieira for being selected to present their work at academic events!

25/04/2023

✍️ Admissions for the 2023-2025 program close soon

Business Data Science is looking for inquisitive, hardworking students with research ambition and a very strong GPA. Do you recognize yourself in this description? Are you interested in a master's program that helps you jumpstart your PhD trajectory at one of the Schools in business and economics of the three partner universities? Apply now!

For more information on the application process, admission requirements, deadlines and reasons for why you should choose Business Data Science check our website.
🌐 https://businessdatascience.nl/admissions