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.
27 July - 14 August 2020
Engage with Imperial academics "live" online
Data Science is successfully adding value to all the business models by using statistics and deep learning to make better decisions. A growing number of companies are now hiring data scientists to crunch data and predict possible situations and risk for businesses.
This online summer school is designed for undergraduate students studying any degrees at a well-recognised university in China, with an interest in data science. Students will be introduced to the concept and develop an understanding of data science and hear from industry expert on data science applications..
- Learn the concept of Data Science;
- Develop an understanding of data analysis, AI and visualization;
- Learn about data science products;
- Understand the real-world applications in data science and hear from industry expert;
- Get an insight into data science entrepreneurship and hear from an entrepreneur his journey in setting up a data science company;
- Gain an understanding of data privacy and ethics;
- Learn from research experts in data economy and block chain;
- Develop valuable professional skills in business model innovation, communication and presentation;
- Work on a team project to develop a data science business;
- Practice and improve their English language.
Students will be allocated in project teams to develop a data science business, learning teamwork, building business models and engage with Imperial supervisors through the weeks.
In addition, students will have an opportunity to meet student ambassadors from Imperial College London, sharing their experiences on what it is like to study in a world class university and to discuss opportunities for future study.
Commissioned by Hangzhou Yulin Technology Education. For registration, please contact:
Phone: +86 18868106015
For more information on the structure of the programme and the entry requirements please visit the website at: short-courses/summer-schools/imperial-data-science-online-summer-school/
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.
• Data & Data Science – history and future
• 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.
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.
For more information on the Summer and Winter Schools, please contact our Programme Manager Ping Huang.