24/07/2024
Meet us at LinkedIn ๐ Here we are more active!
Get to know our research master program, students, courses, teachers and research: https://www.linkedin.com/school/businessdatascience/
It is a partner program of Tinbergen Institute research master in Economics.
The research master program in Business Data Science is a joint degree program of the Schools of Economics and Business of Erasmus University Rotterdam, the University of Amsterdam and Vrije Universiteit Amsterdam. The Business Data Science (BDS) research master program is a joint initiative of the schools of economics and business of the Erasmus University Rotterdam, University of Amsterdam and V
24/07/2024
Meet us at LinkedIn ๐ 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
โ๏ธ Looking forward to meeting you this summer - Tinbergen Institute and research master Business Data Scienceโ๏ธ
๐ฎ๐ฌ๐ฎ๐ฐ ๐ฆ๐๐บ๐บ๐ฒ๐ฟ ๐ฆ๐ฐ๐ต๐ผ๐ผ๐น | ๐๐ฉ๐ฉ๐ฅ๐ฒ ๐ญ๐จ ๐จ๐ฎ๐ซ ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ (๐๐๐๐๐ฅ๐ข๐ง๐ ๐๐ฎ๐ง๐ ๐๐)
๐๐๐ญ๐๐ข๐ฅ๐ฌ
Summer school: Deep Learning
Date: July 15- 19, 2024
Venue: Tinbergen Institute Amsterdam, the Netherlands
Faculty: Eran Raviv
๐ website: https://businessdatascience.nl/deep-learning-summer-course
๐๐ฅ๐๐๐ฌ๐ ๐ง๐จ๐ญ๐ ๐ญ๐ก๐๐ญ ๐ญ๐ก๐๐ซ๐ ๐ข๐ฌ ๐ ๐ฆ๐๐ฑ๐ข๐ฆ๐ฎ๐ฆ ๐ง๐ฎ๐ฆ๐๐๐ซ ๐จ๐ ๐ฉ๐๐ซ๐ญ๐ข๐๐ข๐ฉ๐๐ง๐ญ๐ฌ. ๐๐ ๐ซ๐๐๐จ๐ฆ๐ฆ๐๐ง๐ ๐ญ๐จ ๐๐ฉ๐ฉ๐ฅ๐ฒ ๐๐๐ซ๐ฅ๐ฒ.
๐ง๐ผ๐ฝ๐ถ๐ฐ๐ ๐๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ
๐ก Introduction to Deep Learning (High-level definitions of fundamental concepts and first examples)
๐ก Deep Learning components (gradient descent models, loss functions, avoiding over-fitting, introducing asymmetry)
๐ก Feed forward neural networks
๐ก Convolutional neural networks
๐ก Embeddings (pre-trained embeddings, examples of pre-trained models, e.g., Word2Vec)
๐ก Generative Adversarial Network (GAN)
๐ก 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
๐๐๐๐ ๐๐ฎ๐ฆ๐ฆ๐๐ซ ๐๐๐ก๐จ๐จ๐ฅ | ๐
๐ข๐ซ๐ฌ๐ญ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐๐๐๐ฅ๐ข๐ง๐ ๐ข๐ง ๐๐จ๐ฎ๐ซ ๐ฐ๐๐๐ค๐ฌ!
๐๐ฉ๐ฉ๐ฅ๐ฒ ๐๐จ๐ซ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ซ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐ข๐ฌ ๐จ๐ฉ๐๐ง (๐๐๐๐๐ฅ๐ข๐ง๐ ๐๐ฎ๐ง๐ ๐๐)
๐ website: https://businessdatascience.nl/machine-learning-for-business
๐๐๐ญ๐๐ข๐ฅ๐ฌ
Summer school: Machine Learning for Business
Date: July 22-26, 2024
Venue: Tinbergen Institute Amsterdam, the Netherlands
Faculty: Eran Raviv
๐ง๐ผ๐ฝ๐ถ๐ฐ๐ ๐๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ
๐ก Simulation, bootstrapping and subsampling for inference
๐ก Advanced covariance estimation
๐ก Density and quantile estimation
๐ก Prediction models (Basics or neural networks, tree-based models)
๐ก Dimension reduction methods (PCA, autoencoding)
๐ก Outlier detection techniques
๐ก 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.
๐๐น๐น ๐ฐ๐ผ๐๐ฟ๐๐ฒ๐ ๐ https://businessdatascience.nl/summer-school/
โข 5-day certificate courses
โข 3 ECTS (Note that it is the studentโs own responsibility to get these credits registered at their university)
โข Courses are live on campus in Amsterdam. 1 course online
โข Courses are scheduled in July
โข Small-scale and highly interactive
โข Distinguished faculty and internationally renowned experts
โข 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 โ 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:
๐ 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:
๐ก reflect on the potential impact of AI solutions on (knowledge) work and recommend useful frameworks for managing AI in practice;
๐ก recognize socio-technical challenges when developing and implementing AI in organizations;
๐ก explain and use relevant theories and concepts from the fields of management, organization, and information systems;
๐ก articulate the relevance of the problem, theories, and contribution in a research proposal;
๐ก 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 Josรฉ L. Moraga-Gonzรกlez (Vrije Universiteit Amsterdam) for his efforts in organizing this event.
More information and some pictures can be found on our website:
๐ https://businessdatascience.nl/news/882/first-business-data-science-tinbergen-institute-conference-a-success
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 โConsumer Search and Marketsโ 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.
๐ https://businessdatascience.nl/news/878/conference-consumer-search-and-markets
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 isย Consumer Search and Markets.
24/05/2023
โ๏ธ Apply now for our 2023 Summer Courses
โ 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!
Master students Bernhard and Caio to present at conferences Congratulations to our second-year research master students, Bernhard van der Sluis and Caioย Vieira for being selected to present their work at academic events!
25/04/2023
โ๏ธ 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.
๐ https://businessdatascience.nl/admissions
31/03/2023
โ LAST CHANCE: Sign up now for our on-campus visit on April 4
We look forward to meeting you next week on Tuesday!
https://businessdatascience.nl/news/850/on-campus-visit-experience-our-program?fbclid=IwAR1fLRuTJTVp2CsjSGuaudAqjqSOHkwgqULhc1OoNT3K1YKGXjmqEucQxgE
On-campus visit: Experience our program Are you curious about the research master Business Data Science, but haven't applied yet or finalized your application? We offer an on-campus visit option on April 4, 2023 to experience our program.
29/03/2023
โ๏ธ Coming up soon: Our on-campus visit op April 4
We look forward to meeting you next week at our on-campus visit. Sign up now if you have not done so yet!
On-campus visit: Experience our program Are you curious about the research master Business Data Science, but haven't applied yet or finalized your application? We offer an on-campus visit option on April 4, 2023 to experience our program.
| Maandag | 09:00 - 17:30 |
| Dinsdag | 09:00 - 17:30 |
| Woensdag | 09:00 - 17:30 |
| Donderdag | 09:00 - 17:30 |
| Vrijdag | 09:00 - 17:30 |