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Master Class Data Science for Business
https://www.antwerpmanagementschool.be/en/program/master-class-data-science-for-business/program
Program

Master Class Data Science for Business - Program

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Program

Practical information

Start date: February 10, 2022

  • 10-11 February 2022
  • 10-11 March 2022

Thursdays: 14h00-22h00

Fridays: 09h00-17h00


*AMS strictly follows the regulations defined by the government to minimize the risk of transmission of COVID-19. Read more.
Given the corona restrictions, all classes will be executed in hybrid mode, i.e. depending on the actual restrictions, classes can be followed simultaneously physically on campus or virtually online. Thanks to the life streaming set-up, on-line participants will be able to enjoy maximum interaction and co-working possibilities with fellow participants. Depending on the restrictions of the moment and possible changing travel advice, participants can take classes one day on campus, the other day virtual online. So maximum flexibility is guaranteed.


Curriculum

The program consists of 4 chapters, all addressing specific topics. In each chapter, models and concepts are explained and illustrated through cases and exercises. All in-class sessions will be highly interactive, with a lot of focus on sharing experiences and challenging ideas.

Part 1: Data Science Applications in Business

  • Introduction to data science and Artificial Intelligence
  • Applications in marketing, HR, finance, risk and marketing
  • The concepts of overfitting and learning

Part 2: Data Science technologies

  • Building predictive models from data using decision trees
  • How to evaluate a data science model: from accuracy to profit curves
  • Recommender systems

Part 3: Hands-on session using data

  • Building models using open source tools (Weka, Python)
  • Visualizing data and evaluating models

Part 4: Recent trends

  • The importance of ethical data science for business: concepts and cautionary tales
  • Deep learning as a game changer in image and speech recognition
  • Potential pitfalls in data science projects
  • The future of data science in business

Faculty

Our experienced faculty will coach and assist you during this program. All of them have an academic career (master, PhD or DBA) and international experience in terms of career, research, project management, advisory boards and/or consulting. Many of them have published about their practice-based research, business cases and management experiences. Our faculty are experts in executive education, tailor-made programs and business consultancy.

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Boogkeers
Danny lauwers

A question about this program?

Danny Lauwers

Phone: +32 3 265 47 68

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A question about this program?