Health Data Science course

The University of Manchester
Course summary
12 months
5,000 GBP excl. VAT
Part time
Online courses
Next available date: September 2021 - Online courses
Postgraduate Education

Course description

Health Data Science course

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 PGCert covers the full range of issues in health data science: from governance to epidemiology, from data management to statistical analysis.

Suitability - Who should attend?

Who this course 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.

Academic entry qualification overview

We require an honours degree (minimum Upper Second) or overseas equivalent in one of the following subjects:

  • Mathematics or statistics
  • biological
  • medical
  • physical or computer sciences

with sufficient evidence of the relevant units taken.

English language

International students must demonstrate English proficiency through a secure and approved testing system. We ask for English language proof if you are from non-majority English speaking countries (a list of majority English speaking countries, as defined by the UK Home Office, can be found here ).

Specifically, we require a minimum of:

  • IELTS : 6.5 overall (and a minimum of 6 for writing) or equivalent
  • TOEFL: 90 internet-based (with 25 in each component)

For more information about admission requirements, please visit the university website.

Outcome / Qualification etc.

Degree Awarded: PG Cert Part Time

Course Learning Aims:

  • In an increasingly data-led health environment you'll bring around a change in big health data reporting and meet the need for more health data scientists.
  • By studying this course you'll be able to describe how healthcare systems are organised, funded and regulated and how these relate to health data science. You'll be able to demonstrate a critical understanding the flow of data/information and knowledge and its use across the health and social care system.
  • You'll critically evaluate systems and technologies in relation to current and future thinking around health systems and review the range of systems used to collect, produce and store data.
  • You'll examine the key issues in information governance, cyber-security and issues of privacy and confidentiality and explain the types of systems and components; network and communication protocols; and databases.
  • You'll be able to explain the different systems/software development and design methodologies (e.g., agile) and how these fit in the broader cycle of development, deployment and maintenance of healthcare systems.
  • You'll be able to articulate the importance of interoperability. You'll also be able to describe how data is collected and created to support clinical, research, direct care and commissioning decisions.
  • You'll be able to demonstrate a critical understanding of the epidemiological and statistical principles used to design studies that provide robust evidence to underpin research, policy, or decision-making.
  • You'll be able to demonstrate a critical understanding of the flow of data/information and knowledge and its use across the health and social care system, as well as critically evaluating systems and technologies in relation to current and future thinking around health systems.

Training Course Content

Data Engineering for Health Data Science

  • Programming in Python
  • Vesion control in Git
  • Relational databases and SQL

Understanding Health Data Science

  • Health Information Systems and Technologies
  • Data storage and retrieval technologies and data models and architecture
  • System testing and quality assurance: ISO-standards and the system design  cycle and methodologies

Maths and Statistics for Health Data Science

  • Mathematics and Probability Theory
  • The three ‘data science’ tasks, summary statistics, visualisations for data exploration, confidence intervals, hypothesis testing.
  • Prediction and Causal Inference: Linear and logistic regression, assessing goodness of fit, confounding

Applied Health Data Science

  • Governance, data sources, quality, technical, ethical and legal issues; linking data sources
  • Data visualisation – techniques, software and presentation style and communication/presentation styles
  • Organisational and change management and risk management

Course delivery details

This fully-online, part-time PGCert means you can study from anywhere in the world and fit it around your day-to-day life.

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.

Why choose The University of Manchester

Leading International University, ranked 6th in the UK and 27th globally

Applied & practice-based learning, taking new skills into the workplace immediately

Meet with global experts & build your professional network


  • The course fee for the PG Cert for September 2021 is £5000.
  • The fee for each CPD unit is £1,250.

About provider

The University of Manchester

Part of the prestigious Russell Group of universities, The University of Manchester is recognised across the globe for its research and teaching quality, covering undergraduate and postgraduates programs, as well as specially designed online and blended learning courses to allow...

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The University of Manchester

Oxford Road
M13 9PL Manchester

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