Bayes Centre

Managing and Leading Data-Driven Innovation

This online credit-bearing course introduces the core elements of leadership and organisational management using theoretical applications and practice-based scenarios. It will include critical evaluation of case studies relevant to data science, providing students with the knowledge and skills required for leading and managing change in the health, social and care services sector.

Course Summary

Successful implementation of data-driven innovation depends on managing organisational culture and structures, management models (policies, practices and processes), tools and technologies, behavioural and attitudinal change in service users and other stakeholders within and across health, social and care services systems. This course highlights the importance of effective leadership, understanding organisational contexts, workflows and routines, and user cultures and preferences when designing, planning and delivering data-driven health, social and care services. This course introduces the main theories and methods from the management and organisational sciences relevant to health, social and care services. It explores management and effective leadership in data-driven innovation, drawing on examples from the health, social and care services sector. In later weeks, the course will focus on case studies from the health and social services sector and data science; involving service user data. Students will use these case studies to learn how to make complex decisions based on incomplete data or contested information with uncertain consequences about effective leadership and what is needed to manage and appraise change effectively.

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

Managing and Leading Data-Driven Innovation

Course Delivery Information

Start Date:

11 April 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

This course is aimed at current managers and aspiring leaders in the health and social care sector and therefore 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 April 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 27th March 2022