Programme Summary:   

The "Responsible AI & Analytics for Business" Summer School module offers a comprehensive dive into modern business analytics, blending cutting-edge techniques with the essential ethical considerations of AI and data analysis. The module covers a broad range of topics, providing valuable insights into the rapidly evolving AI and analytics landscape.

A central focus is placed on responsible AI practices, such as fairness, transparency, accountability, and bias mitigation, ensuring the ethical application of AI in real-world business scenarios. Participants will gain hands-on experience with no-code tools, making analytics accessible even to those without prior coding knowledge.

Through interactive and practical labs and workshops, they will apply AI and analytics to solve real-world business challenges while critically examining the ethical considerations involved in responsible AI usage. By the end of the module, participants will have developed foundational knowledge, practical skills, and a strong awareness of the ethical landscape surrounding AI and business analytics.

 Learning Outcomes:

1. Develop a comprehensive understanding of core concepts in business analytics and AI, empowering informed decision-making.    
2. Leverage no-code tools to creatively solve business challenges.   
3. Identify and navigate ethical challenges surrounding AI and analytics, ensuring responsible and fair applications in business environments.
4. Effectively communicate data-driven insights, translating complex analyses into clear, actionable strategies for diverse stakeholders.
5. Assess the impact of AI and analytics on business performance.

Lecturer(s): Collective lecturers

School Programme

Day 1: School Welcome and Introduction

Day 2: Fundamentals of Analytics + Workshop

Day 3: Large Language Models (NLP/NLU) + Lab

Day 4: Responsible AI for Business + Workshop

Day 5: HR Analytics I + Lab

Day 6: HR Analytics II + Lab

Day 7: Marketing Analytics I+ Lab

Day 8: F Marketing Analytics II+ Lab

Day 9: Data-Driven Decision-Making I + Lab

Day 10: Data-Driven Decision-Making II + Lab

Assessment:

Assessment will involve the following elements.

*Please note: this is a draft programme and is subject to change.