Data Science and Artificial Intelligence

Introduction to Data Science: The Journey from Data to Insights

The morning of day one will kick off with an introduction to data science, where you will delve into the journey from collecting raw data to extracting meaningful insights. You will learn the fundamental concepts of data science and AI, including data pre-processing, exploratory data analysis, modelling and evaluation. You will also have a hands-on session focusing on Python for Data Science. 
 
In the afternoon, you will learn about data visualisation and its applications.

In the afternoon of days one to three, you will have the opportunity to visit the Data Science Institute’s Data Observatory in small groups where various demonstrations will be showcased. For those not visiting the Data Observatory you will be provided with a curated reading list for the self-study sessions and group presentations. There will be a masterclass on the first day of the programme on how to effectively read research papers which will help you prepare for these sessions.

Introduction to Computer Vision

On day two, you will explore computer vision, including what it is and its applications in our daily life. Following this, you'll learn about the image classification task, a classic technique in data visualisation. This task will introduce you to the concepts of image features, propose machine learning algorithms to analyse these features and perform the classification task. Furthermore, you will learn about recent advances in the field.

The afternoon will involve a practical session on image classification using Python to gain hands-on experience on the topic. 

In the afternoon of days one to three, you will have the opportunity to visit the Data Science Institute’s Data Observatory in small groups where various demonstrations will be showcased. For those not visiting the Data Observatory you will be provided with a curated reading list for the self-study sessions and group presentations. There will be a masterclass on the first day of the programme on how to effectively read research papers which will help you prepare for these sessions.

A journey through Natural Language Processing

Day three includes a morning introduction to Natural Language Processing, one of the foundational fields in Artificial Intelligence. You will look at Natural Language Processing and a few practical modern applications.

The afternoon will include guided work and tutorials and individual work and natural language processing exercises. 

In the afternoon of days one to three, you will have the opportunity to visit the Data Science Institute’s Data Observatory in small groups where various demonstrations will be showcased. For those not visiting the Data Observatory you will be provided with a curated reading list for the self-study sessions and group presentations. There will be a masterclass on the first day of the programme on how to effectively read research papers which will help you prepare for these sessions.

Group presentations

On the final day, you will work in groups to present your understanding, insights and innovative ideas on one or more research papers from a curated reading list.

Presentations will be judged by Mentors and leaders. A prize will be awarded to the winning group.

Full Academic Timetable

The Global Summer School Data and Artificial Intelligence 2025 sample timetable will show you when your lessons will be taking place, as well as the social activities. This is subject to change.