Artificial Intelligence and Data Science for Business Innovation

Artificial Intelligence and Data Science for Healthcare Innovation

Engage with Imperial academics "live" online!
1 to 14 February 2023

Artificial intelligence and data science have a pivotal role in driving a new era of innovation in many fields and they have the potential to transform businesses and industries.  

As the knowledge of data science and AI is successfully adding value to business innovations,  a growing number of organisations are now looking for these skills set in their recruitment.

This online winter school is designed for undergraduate students with NO coding knowledge, studying any subject disciplines, with an interest in learning the applications of AI and data science in businesses. 

Students will be introduced to the concept of data science and AI, hear from industry experts on these applications and learn basic Python coding to work in teams towards a group project.

Students will:

  • Develop an understanding of data science and AI’s application in various industries sectors and how they support business innovations.
  • Develop an understanding of data entrepreneurship.
  • Explain how machine learning is used for data analysis.
  • Understand how robotics and AI play an important role in engineering design.
  • Understand how data are presented using visualisation tools.
  • Understand how AI is used to assist electronic health records.
  • Explain blockchain technology and it’s applications.
  • Explain the importance of data privacy and ethics.
  • Apply basic coding in Python.
  • Identify valuable professional skills in team building, communication and presentation and apply on a team-based project.
  • Improve their English language.

In addition, students will participate in online social activities, meet new friends and hear about opportunities for international students at Imperial.

For registration, please contact:

A scholarship of up to £600 will be provided by Global University Online. To apply, please visit:
http://www.globaluniversityonline.org/hqdx.php/scholarship/index/13704.html?lang=en

More information

Programme structures & format

40 learning hours spread over 10 weekdays covering live lectures, tutorials, project work and self-study time.

Live sessions of up to 4 hours’ duration will be delivered on weekdays.  

Project work will be done through team-based learning with supervision. Final projects will be presented in groups to a panel of experts on the last day of the programme. A prize will be awarded to the team with the best project.

The programme will be delivered over Microsoft Teams and Zoom. Online project channels in MS Teams will be allocated to each team for project work and tutorials. Students will be able to use the channel at any time to work on their project.

The entire programme will be taught in English.

Teaching faculty

The summer school is taught by a multi-disciplinary teaching faculty from the Data Science Institute and other departments of Imperial College London.

Certification

Students will receive a verified Imperial College London digital certificate on successful completion of the winter school and a prize will be awarded to the best project team. Each student will also receive a transcript for their project marks.

Entry requirements

English requirements:

All students are required to have a good command of English, and if it is not their first language, they will need to satisfy the College requirement as follows:

  • a minimum score of IELTS (Academic Test) 6.5 overall (with no less than 6.0 in any element) or equivalent.
  • TOEFL (iBT) 92 overall (minimum 20 in all elements)
  • CET- 4 (China) minimum score of 550
  • CET- 6 (China) minimum score of 520

Students will need to have access to a computer pre-installed with python, have a webcam, microphone and good internet connection to attend the live classes. Guidance will be provided to students on installing python.

Students are NOT expected to have any technical coding skills.

This winter school is also suited for medicine students, willing to diversity their skill set.