Bayes Centre

Health Data Science

This online learning credit-bearing course aims to equip healthcare professionals with the key foundations and data skills that are needed for data-driven innovation.

Course Summary

Data science is revolutionising how medicine is understood, how biomedical research is conducted and how healthcare is delivered. Despite the widely-recognised opportunities that data can bring to biomedicine and healthcare, there is a shortage of data skills in the healthcare sector. This course aims to equip healthcare professionals with the key foundations and data skills that are needed for data-driven innovation. It provides a gentle introduction to key concepts, principles and methods of data science in health, enabling you to explore the potential for data to transform healthcare. You will learn how to use current data science tools to process healthcare data for effective analysis and reporting, and gain practical experience in working with data. You will also gain critical understandings of ethical and legal implications of working with healthcare data.

By the end of this programme, students will be able to:

·       Explain and critically discuss key concepts, principles and methods of data science in health.

·       Apply a range of specialised data science techniques to different medical and healthcare scenarios.

·       Analyse health data with the use of the R programming language, including summarisation, visualisation and interpretation.

·       Critically examine the ethical, societal and regulatory principles and implications of data science in health.

 

Apply now

Applications are now being accepted.  To apply, please click on the link below and follow the instructions.  

Please note, when you apply you must make it clear which course or courses you are wishing to register for, you can do this by keying in your preference in the Supporting Statement section of the application.

Applications to this course are being accepted up until the 8th of June.

APPLY HERE

Course Delivery Information

This course is mostly delivered online, with one day of on-campus learning.

Start Date: 1 June 2020
Course Duration: 10 weeks
Total Hours: 100 (Lecture Hours 10; Tutorial Hours 5; Independent Study and Assessment Hours 85)
Method of Assessment: Coursework 100%
Level:  This is an introductory Masters-level course (SCQF Level 11). It provides foundational skills and/or an overview of the subject – no prior knowledge is needed. Masters-level courses are relatively intensive and require independent learning, critical thinking, analysis and reflection.

Entry Requirements

As this course is designed for healthcare professionals, we expect our students to have qualifications or work experience in the health industry (e.g. NHS, hospitals, nursing homes, pharmaceutical companies, diagnostic laboratories, etc.). A basic understanding of math and statistics would also be beneficial.

If you are unsure whether you meet these criteria please send your CV to bayes-training@ed.ac.uk.

Check whether your international qualifications meet our general entry requirements:

English Language Requirements

You must demonstrate English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.

Find out more about our language requirements:

Register Your Interest

For further information on this course please register your interest by completing the below form

Register Your Interest