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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Health Information

Postgraduate Course: Entrepreneurship and data-driven innovation (HEIN11049)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe course will introduce students using real-world examples from health and social care to the theory and practice of entrepreneurship, why some ventures are successful and others are not, the entrepreneur's role, with specific reference to data-driven innovation in the health, social and care services context.

This course aims to equip students with the entrepreneurial mindset, cutting-edge knowledge, skills, and confidence to initiate and develop data-driven business ventures and improve care service delivery and organisation.

The course is ideal for health, social and care service professionals who would like to know more about entrepreneurship and data-driven innovation,
1) Entrepreneurs who would like to know how to set up their data-driven venture within the health, social and care services context
2) Leaders who want to learn how to be more entrepreneurial, build an entrepreneurial culture within their team, take their data-driven solution to the next level or work with data-driven ventures, and
3) Consultants who would like to learn more about entrepreneurship and data-driven innovation in the health, social and care services context.

Students taking this course do not require any prior knowledge of entrepreneurship or data science.
Course description Data-driven innovation is radically transforming health, social and care service delivery and organisation. Therefore, it is vital for health, social, and care service organisations to develop individual and corporate entrepreneurial skills. Entrepreneurship and data science are inextricably linked. Data science aims to derive actionable solutions from data that improve people's health and well-being, reduce health and social inequality and manage health, social and care service systems. Entrepreneurship involves the successful development of new ventures by exploiting new data-driven solutions. This course is designed to integrate entrepreneurship and data-driven innovation so that students see them as symbiotic rather than independent activities across the health, social and care services ecosystem.

This course will first introduce the theory and practice of entrepreneurship as a means of capitalising on data-driven innovation through the health, social and care service ecosystem. The course will describe innovation in the context of entrepreneurship, including innovation strategy, leadership and innovation tools such as design thinking and innovation communities. Next, the course will explore the business models that underpin entrepreneurial success, developing and leading entrepreneurial teams, entrepreneurship processes and roadmaps, and protecting innovation through intellectual property rights. The course will then focus on recognising opportunity, opportunity assessment, raising finance and business planning, globalisation, product development and sustainability. Finally, the course will focus on leading and managing entrepreneurship and data-driven innovation, including strategic teams and venturing using real-world examples from health, social and care services.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2023/24, Available to all students (SV1) Quota:  None
Course Start Flexible
Course Start Date 05/08/2023
Timetable Timetable
Learning and Teaching activities (Further Info) 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 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Feedback Feedback is information provided to the students about their learning relative to learning outcomes. The two main types of feedback are formative and summative. Formative feedback involves feedback given during an assessment, while summative feedback is provided after an assessment has been completed.

Formative feedback will be provided throughout the course, for example, during live question and answer sessions, quizzes, and on discussion boards. A formative task will also be offered before the student submitting their summative assessed course work. All assignments will be marked, and feedback is provided within fifteen working days (where possible).
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate a critical understanding of the theory and practice of entrepreneurship and data-driven innovation in health, social and social care service organisations.
  2. Apply logical, analytical, and problem-solving skills to recognise and critically evaluate and develop data-driven solutions as they arise through the health, social and care service ecosystem.
  3. Demonstrate the ability to communicate, lead and explain to specialists, and non-specialists how to effectively capitalise on and develop opportunities as they arise across the health, social and care service sector.
  4. Exercise autonomy within the limits of their professional practice and competence to leverage data-driven innovation and work effectively in multidisciplinary teams across the health, social, and care services sector.
Reading List
Specific books and journal articles will be included in the course information at the start of the course.
Additional Information
Graduate Attributes and Skills 1) Mindsets:
Enquiry and lifelong learning
Students on this course will be encouraged to seek out ways to develop their expertise in databases and information systems. They will also be encouraged to strive for excellence in their professional practice and to use established and developed approaches to resolve database and information system problems as they arise in health and social care organisations and enterprises.

Aspiration and personal development
Students will be encouraged to draw on the quality, depth and breadth of their experiences to expand their potential and identify areas in which they wish to develop and grow. Students will also be encouraged to understand their responsibility within, and contribute positively, ethically and respectfully to the health and social care community while acknowledging that different students and community members will have other priorities and goals.

Outlook and engagement
Students will be expected to take responsibility for their learning. Students will be asked to use on their initiative and experience, often explicitly relating to their professional, educational, geographical or cultural context to engage with and enhance the learning of students from the diverse communities on the programme. Students will also be asked to reflect on the experience of their peers and identify opportunities to enhance their learning.

2) Skills:
Research and enquiry
Students will use self-reflection to seek out learning opportunities. Students will also use the newly acquired knowledge and critical assessment to identify and creatively tackle problems and assimilate the findings of primary research and peer knowledge in their arguments, discussions and assessments.

Personal and intellectual autonomy
Students will be encouraged to use their personal and intellectual autonomy to critically evaluate learning materials and exercises. Students will also be supported through self-directed learning, discussion boards and collaborative activities to critically evaluate concepts, evidence and experiences of peers and superiors from an open-minded and reasoned perspective.

Personal effectiveness
Students will need to be effective and proactive learners that can articulate what they have learned, and have an awareness of their strengths and limitations, and a commitment to learning and reflection to complete this course successfully.

Effective data scientists' practitioners in the health and social care sector require excellent oral and written communication, presentation and interpersonal skills. The structure of the interactive (problem-based learning examples, discussion boards and collaborative activities) and assessment elements incorporate constant reinforcement and development of these skills.
KeywordsEntrepreneurship,data-driven innovation,health care,social services,care services
Course organiserMiss Michelle Evans
Tel: (0131 6)51 5440.
Course secretaryMr Matthew Newlands
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