Bayes Centre

Data Ethics and Ownership

This online credit-bearing course will introduce students to the various ethical issues that arise regarding the use of service user data from health, social, and care service systems, emphasising data ethics and ownership.

Course Summary

Data science is revolutionising how health, social and care services are delivered. However, the use of service user data in health and social care and safe sharing of datasets within and across care systems creates ethical challenges and data ownership issues. Therefore, a balance must be struck between a desire for privacy and the need to improve the management of health and social care systems. This course introduces the ethical and data ownership issues around the use, collection, storage and utilisation of service user data from and across health, social and care service institutions. The course develops a framework to understand the ethical issues of collecting and managing health, social and care service user data. Students will be introduced to ethical codes of practice and accountability and examine how service user data are ethically used in the health and social care setting and the impact of unethical practice. The course also covers aspects of data ownership. Key issues in data ethics and ownership, with case studies and questions, will be presented to students that prompt active self-reflection and appraisal and provide students with an opportunity to give and receive constructive feedback. Students taking this course do not need to have any prior exposure to data ethics nor ownership.

Further information can be found in the University's course catalogue: 

Data Ethics and Ownership

Course Delivery Information

Start Date:

17 January 2022

Course Duration: 5 weeks 
Total Hours: 100 ( Lecture Hours 5, Seminar/Tutorial Hours 1, Online Activities 35, Feedback/Feedforward Hours 5, Formative Assessment Hours 5, Revision Session Hours 1, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 46 )
Method of Assessment: Coursework 100% 
Level: 

This is an intermediate Masters-level course (SCQF Level 11). It develops your skills and/or provides a broad understanding of the subject in some detail - some foundational knowledge is required. Please see the entry requirements for further details. Masters-level courses are relatively intensive and require independent learning, critical thinking, analysis and reflection. 

Entry Requirements

As this course is designed mainly for health and care professionals, we expect our students to have qualifications or work experience in such environments (e.g. NHS National Services, Acute/Community/Public health), third sector organisations, social services, nursing homes, pharmaceutical companies, diagnostic laboratories, etc.). 

You should be educated to a degree level as this course is catering for those seeking postgraduate academic credit. However, professionals who are involved with managing services and caseloads and have 5 years of work experience may also apply even if they do not hold a degree qualification.

Check whether your international qualifications meet our general entry requirements:

English Language Requirements

You must be comfortable studying and learning in English if it is not your first language.

Course Fees and Funding

Course fees for 21/22 are £960, but funded places are available for people employed, unemployed or furloughed in Scotland who meet Scottish Funding Council elgibility criteria.

Determining eligibility for a funded place for upskilling takes a number of things into account, including fee status, but also location of employer. SFC provide guidance specifically for upskilling courses:

“Courses/provision is open to all Scottish-domiciled/’home fee’ students, which is consistent with SFC’s policy for core funded student places. Students from the rest of the UK (rUK) are not normally considered eligible for SFC funding. If however a university is working with a Scottish/UK employer which has a physical presence or operating in Scotland, rUK employees of that employer would be eligible.”

Organisations like UKCISA, and the University, provide guidance on how to determine your fee status:

If your fee status is Scotland Fee Rate, RUK Fee Rate, or EU-EEA Pre/Settled Scotland Fee rate, you may be eligible for a funded upskilling place. To determine this we will look at your fee status, residency information and, where relevant, details of your employer, to confirm whether the employer is based in, or has a significant presence, in Scotland.

Funding eligibility will be assessed at the point of each application for each course; you may be asked to provide further information if you do not meet the general residence conditions. Please email us at bayes-training@ed.ac.uk if you would like to discuss your funding eligibility before applying.

Please note that full-time students (including full-time PhD students) are not eligible for funding.

 

Apply Now

Applications for January 2022 are now open.

In order to verify that you meet the entry requirements for this course, you will be required to provide either:

  • a degree certificate/transcript for your highest/most relevant academic qualification, or
  • a CV and reference from an employer (if employed) or professional associate (if unemployed) outlining your suitability for the course

The degree certificate/transcript or CV should be emailed to bayes-training@ed.ac.uk within 24 hours of submitting your application. References should be emailed to the same address (from an institutional/company account if from your employer) within 1 week of submitting your application. 

Once complete, your application will be processed in 1-2 weeks. Applications will be processed on a first come, first served basis with priority given to applicants who meet the criteria for a funded place. We aim to email all applicants within 2 weeks of submission regardless of the outcome of their application.

APPLY HERE

Applications will close on 4th January 2022