Taught course

Healthcare Data: Informatics, Innovation and Commercialization

Institution
University of Cambridge · Institute of Continuing Education (ICE)
Qualifications
PGCert

Entry requirements

Applicants for this course are expected to have achieved a UK 2.i honours degree or equivalent.

It is preferred that an applicants first degree be in a subject relevant, or related to, life sciences, medical sciences, computational or data science.

Months of entry

October

Course content

The programme has been developed by a network of partners with unrivalled experience in healthcare informatics to create a world-leading training environment.

Aims of the course

The programme will develop individuals with the necessary knowledge and skills to be able to understand and critically evaluate electronic healthcare data in a manner compatible with innovative commercialisation opportunities

The course will:

Provide professionally relevant teaching and learning of the knowledge and skills that underpin, and are at the forefront, of successful understanding and utilisation of electronic healthcare data.

Develop, create and upskill healthcare data experts with the necessary expertise, and originality of application, to pursue and expand their roles in the context of the rapidly evolving environment of electronic healthcare data

Promote a comprehensive understanding of the practical and ethical considerations relevant to healthcare data, informatics, innovation and commercialisation.

Ensure a systematic understanding of the skills and knowledge required to facilitate the development of critical thinking, and appropriate analytical and problem-solving skills relevant to the utilisation of healthcare data.

Provide work relevant learning and practical expertise in the context of a critical awareness of current problems, best-practice, challenges and potential solutions in the use of healthcare data.

Instil a critically reflective approach to the development of innovative and commercially viable application of healthcare data.

Create a professional network of like-minded individuals as leaders in the field of healthcare data commercialisation.

Learning outcomes

The programme provides the skills and knowledge needed to convert digital health data within electronic patient records, trial registries, and audit networks into effective research, service improvement tools which may have commercial applicability.

In particular the over-arching learning outcomes are:

Knowledge and understanding

To enhance the students’ systematic knowledge and critical understanding of the diverse range of healthcare data produced, the way this is stored and handled and the problems this presents.

To develop students’ ability to evaluate and to critically compare healthcare data sets in order to make value-based judgements on the most appropriate analytical and visualisation approaches to use.

To enable students to describe and critique the functional and organisational structure of healthcare datasets.

To provide a comprehensive understanding of the skills necessary to enable students’ to critically review and interpret healthcare data in the context of developing decision support tools, systemic change, and potentially novel commercial leads.

To create an enquiring perspective to enable critical and evaluative discussion that extends student understanding of key ethical issues in the acquisition and use of healthcare data.

To develop students’ ability to evaluate best practices in the use of healthcare data and apply appropriate methods to their own work.

To enable students to understand and apply the academic and professional theories and applications of change management, innovation, commercialisation, and entrepreneurship to the utilisation of healthcare data.

To enhance the students’ systematic knowledge and critical understanding of the importance, relevance, breadth and applicability of healthcare data in the modern world.

To develop students’ ability to critically evaluate subject matter.

To enable students to describe and critique key analytical, visualisation, and commercialisation techniques and approaches relevant to healthcare data.

Information for international students

All applicants are required to demonstrate competency in English at a high level before commencing the programme; students whose first language is not English must be able to satisfy the requirements below.

IELTS Academic: Overall score of 7.0 (a minimum of 7.0 in Listening, Writing and Speaking; 6.5 in Reading)

TOEFL Internet: Overall score of 100 (a minimum of 25 in each individual component)

CAE: Grade A or B (with at least 193 in each individual element) plus a Language Centre assessment

CPE: Grade A, B, or C (with at least 200 in each individual element)

Please be aware that students require the use of a laptop for the duration of the course.

Qualification, course duration and attendance options

  • PGCert
    part time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions Enquiries
Email
ice.admissions@ice.cam.ac.uk