Winter/Summer Schools

The multidisciplinary winter or summer school can be offered either two weeks or three weeks, is designed for undergraduate students around the world with an interest in data science and AI, allowing students to expand their knowledge outside traditional term time.

The programme uses group discussions, workshops, off-campus excursions and guest speakers to enrich, enhance and develop business knowledge and practical skills in a fun and supportive learning environment.

Students are introduced to the basic concepts of data science and develop a technical understanding as well as a business awareness of data science. They enjoy an enhanced learning experience  that will further develop their transferrable skills, and learn about global challenges with relevant tours and company visits.


DSI Peter Vincent

2019 Data Science Entrepreneurship Summer School
for undergraduate students from China

This three-week bespoke summer school is designed for students studying any degrees in the final two years of their undergraduate studies at a Chinese university, with an interest in data science.  Students are introduced to the concept of data science and develop a technical understanding as well as the business of data science. The final week provides an enhanced learning experience for students to further develop their transferrable skills, hear some of the global challenges with relevant tour and company visits.

Sessions cover:
• Data & Data Science – history and future  Florian Classroom
• Statistical Foundation of Data Science
• Exploratory Data Analysis and Visualization
• Machine Learning for Data Science
• Big Data Management and Cloud Computing
• Systems and Network Engineering
• Data Privacy and Ethics

In addition, students have the opportunity to make new friends, get to know student ambassadors from Imperial College London through social activities and discuss opportunities for future study and experience what it is like to study in a world class university in London.

Structure of the course:

76 contact hours over 3 weeks. They include lectures, workshops, tutorials, project work and visits.

Students work in groups on a project assigned at the start of the summer school. At the end of the second week of the programme, they have a chance to present their work to the entire cohort.

There are also cultural and social activities organised by Imperial student ambassadors, both on campus and around London.

The entire programme is in English, therefore a good linguistic competence is required to fully benefit of the course.

Teaching Faculty

SummerSchool 2019

The summer school is led by Professor Yike Guo and taught by a multi-disciplinary team of teaching faculty from the Data Science Institute and other departments. 

Read our latest news article on the DSI 2019 Summer School. 

Contact information 

For more information on the Summer and Winter Schools, please contact our Programme Manager Ping Huang.