Computing and data science for clinical scientists – 3 day course

Hosted by the Royal Surrey NHS Foundation Trust

We are running an online 3-day course, with an optional 4th day on Data Science and AI, tailored for STP trainees across a wide range of specialties. This interactive, virtual course provides essential computational skills directly relevant to clinical scientific practice.

Who would benefit
STP trainees across various specialties looking to enhance their skills in clinical computing, data processing, and data science.

Learning outcomes covered

The course is mapped to the following learning outcomes:

Core Skills (Days 1–3)

• S-BG-R1 #3, #7, #8, #10: Observe and work with data-processing pipelines, database information retrieval, and external data sources in clinical settings.
• S-BG-R1 DOPS: Prepare pipeline commands, check progress, and write database queries.
• S-CSC-R1 #5, #6, #7, #9: Explore emerging technologies, legislative influences, and quality management systems in clinical computing.
• S-CSC-R1 DOPS: Download datasets, transfer data, and install/test clinical software.
• S-CE-S2 #1, #10, S-CE-S3 #9: Create relational databases, develop data input forms, and produce GUIs or webpages to present data.
• S-IN-S1 #14, #15, #16, #17, #19: Work with DICOM image headers, image registration, segmentation methodologies, and set up/test DICOM links.

Optional Day 4 (Data Science and AI)

• Gain practical skills aligned with S-CE-S2 #10 by scripting machine learning models and using Python tools.
• Apply techniques to develop supervised and unsupervised learning algorithms and explore AI applications in clinical imaging.

For more information about the course and what will be covered, visit: https://medphys.royalsurrey.nhs.uk/courses/

How to register

Please register here: https://medphys.royalsurrey.nhs.uk/courses/registration/

If you have any queries about the course, please email rsch.scicom@nhs.net