Health Data Science University of Manchester

Who this Health Data Science course at University of Manchester is for?For the data professional who wants to add value to their team by upskilling in data knowledge, techniques and reporting by studying this flexible 100% online qualification while continuing to work and fitting this study around their work and other commitments.Bring around a change in big health data reporting and meeting the need for more health data scientists in an increasingly data-led health environment. You will complete four taught units in 12 months and learn through a mix of interactive teaching and have plenty of opportunities to work collaboratively with your peers. You can choose to undertake single CPD units one at a time, or complete all four to receive your PGCert.

Contacts Website

  • PGCert
  • English
  • Part time

Become the health data science expert

Upskill to meet the growing need for people with the skills to derive insights from health data. 

Health data science is a huge growth area with the explosion in the availability of data and computational power. This Health Data Science PGCert at University of Manchester covers the full range of issues in health data science: from governance to epidemiology, from data management to statistical analysis.

What you will learn

  • Bring together the technical, modelling and contextual skills to be a successful health data scientist.
  • Apply these skills to real-world problems, harnessing the potential of health data.
  • Understand the importance of the patient and the governance surrounding working in the healthcare environment.
  • Use case studies provided by existing work and research at the Health eResearch Centre (HeRC) and focus on large and complex health datasets in environments that safeguard patient confidentiality.

his PGCert will upskill you in the fundamentals of health data science. It will equip you with a basic competency in this area so you can understand the operational and governance issues around managing health data, the international context, and fundamental skills in mathematics, statistics and epidemiology to design and analyse simple studies to address business or research questions. 

With a focus on highly applicable skills and knowledge, you will also learn through interactive, state-of-the-art simulations that allow you to experience and practice real-world scenarios. You will complete four taught units in year one. You’ll learn through a mix of interactive teaching and have plenty of opportunities to work collaboratively with your peers.

An honours degree (Minimum 2:1) in a physical science or engineering or biomedical science from a recognised institution. An approved and relevant postgraduate qualification 

equivalent of previous advanced study, research and/or relevant professional experience, which the University accepts as qualifying the candidate for entry.

Candidates may be accepted for entry to the Diploma track with class of degree of 2:2 or under subject to interview, and be moved to the Masters track on achieving suitable results in the taught part of the course. 

Admission Requirements:
  • Bachelor
Cost of the master: Not declared
Request more information from:
University of Manchester

        Health Data Science

              Puoi anche scrivere un messaggio:

                * required fields
                Privacy
                  • Other editions
                  • Manchester - United Kingdom
                  Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

                  Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

                  Social stream

                  Provenance Students Worldwide:
                  Detail of origin:
                  Europe
                  100%
                  %
                  %
                  %
                  %
                  Italy
                  100%
                  %
                  %
                  %
                  %
                  Gender:
                  35%
                  65%
                  Job Experience:
                  YES85%
                  NO15%
                  Age of participants:
                  • Under 25

                    15%
                  • 26 - 30

                    30%
                  • 31 - 35

                    20%
                  • Over 35

                    35%
                  Total:
                  575
                  Foreigners:
                  5%
                  Profession Teaching Staff:
                  75%
                  University professors
                  15%
                  Researchers/lecturers/visiting professors
                  5%
                  Consultants/freelancers
                  5%
                  Managers
                  * The data could be related to the School and not to the Master