Master Class Data Science and AI for Business

Create business value with data science

This Master Class will provide participants with a thorough understanding of the key technical aspects of big data applications and data analytics. In addition, the program will illustrate ample business and management applications offering participants insights and experience on how to set these data to work and how to create business value, i.e. improve profitability and increase revenues.

Curious to learn more about our program?

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

Steven De Haes

Dean of Antwerp Management School, academic director executive master's programs IT management, IT Governance & Assurance, Enterprise IT architecture, IT Risk and Cyber Security Management.

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