Artificial Intelligence and Data Science for Healthcare Innovation

Engage with Imperial academics "live" online!
8-19 August 2022

In the healthcare industry, data science and artificial intelligence (AI) play a pivotal role in bringing together innovation and patient care and they have the potential to transform how healthcare is delivered.   

Healthcare data open the road to many discoveries. For example, it provides the foundation to run medical evaluation and to produce more effective drugs more quickly. Data scientists are using powerful predictive analytical tools to detect chronic diseases at an early level and to identify successful interventions quickly. Analytical tools will make possible to identify more quickly the best drug for a certain treatment as well as the most efficient route to produce it. Data science allows a better quality of care for patients, freeing up doctors’ time by running tedious analyses in a more efficient way, enabling doctors to spend more time in direct patient care and reducing burnout.

AI can support improvements in care outcomes, patient experience and access to healthcare services. It can increase productivity and the efficiency of care delivery and allow healthcare systems to provide more and better care to more people. AI can help improve the experience of healthcare practitioners and patients alike.

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

This online summer school is designed for undergraduate students with non-technical coding backgrounds, including those studying medicine, with an interest in enhancing their skills to work in the healthcare industry.

Students will be introduced to the concept of data science and AI, hear from industry experts on these applications and work in teams towards a COVID related project.

Students will:

  • Develop an understanding of data science and AI’s application in healthcare.
  • Explain how AI is applied in medical imaging and how machine learning is used for data analysis.
  • Understand how medical robotics play an important role in healthcare innovation.
  • Present data using visualisation tools.
  • Understand how healthcare data can be kept safely with blockchain and how AI is used to assist electronic health records.
  • 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 team-based project.
  • Improve their English language.

Students will be working in small teams to work on a real-world COVID related project, supervised by Imperial academics and they will present the project to a panel of experts on the last day of the programme.

In addition, students will gain an understanding of the British Culture, visit London Landmarks through virtual social activities, meet and discuss with Imperial ambassadors online, sharing their experiences on what it is like to study in a world class university and to discuss opportunities for future study.

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More information

40 learning hours spread over two weeks covering live lectures, workshops, tutorials, project work and self-study time.

Live sessions of up to 4 hours’ duration will be delivered on weekdays over a two-week period. Classes are delivered mostly between 08:15 to 12:15 UK time / 15:15 to 19:15 China time.

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. Online project channels 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.

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

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

All students are expected to be studying an undergraduate degree.

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