Clinical Data Science / Overview

Year of entry: 2024

Degree awarded
PG Credit
Duration
9 weeks (part-time)
Entry requirements

We require an honours degree (minimum 2:1) or overseas equivalent or relevant work experience.

Non-standard applications for the course from applicants who have significant relevant professional experience and/or where the academic qualification falls below a 2:1 degree will be considered on an individual basis, and may be admitted at the discretion of the Programme Director.

Full entry requirements

How to apply

Application Deadline

The deadline for applications for Human Factors and Digital Transformation (March 2024 start) and Data Visualisation and Communication (June 2024 start) is 19th January 2024.

The deadline for applications for Clinical Data Engineering (September 2024 start) and Maths, Stats and Machine Learning (November 2024 start) is 30th May 2024.

Places are limited, so you should apply early.

Applications for Human Factors and Digital Transformation (March 2025 start) and Data Visualisation and Communication (June 2025 start) will open in October 2024.

Applications for Clinical Data Engineering and Maths, Stats, and Machine Learning for 2023/24 are now closed.

How to select your CPD unit when applying

  • When applying for the CPD units, you will need to select PG Cert Clinical Data Science on the application form.
  • You will then see CPD as an option and you will need to select the start month for each unit.
  • Please select the appropriate month for the unit you wish to apply to. For example, if applying for Clinical Data Engineering, you will need to select September; if applying for Maths, Stats, Machine Learning, you will need to select November, etc.  

Unit start months:

Clinical Data Engineering – September

Maths, Stats, Machine Learning – November

Human Factors and Digital Transformation – March

Data Visualisation and Communication – June

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
Modular N Y N N

Course overview

  • We offer our PgCert Clinical Data Science units as individual continuing professional development (CPD) courses. These units aim to empower healthcare professionals from across the health and social care workforce, from knowledge and library specialists to nurses, AHPs, healthcare scientists, doctors and beyond, to apply data science in practice and translate data into patient benefit.
  • You will benefit from blended teaching that will provide a rich mixture of online and face-to-face learning opportunities.
  • Build your digital, data capabilities and confidence.
  • Develop your own data-based solutions to clinical problems.
  • Learn to work better with data centric professionals on digital transformation and research projects.
  • Develop fundamental data science skills for processing, analysing, and communicating using data.

Open days

You can find out more about what it's like to study at Manchester by visiting us on an open day.

Additional expenses

You should be able to complete your course without incurring additional study costs over the tuition fee. Any unavoidable additional compulsory costs totalling over 1% of the annual home UG fee per annum, regardless of whether the course is UG or PGT, will be made clear at the point of application. Further information can be found in the University's Policy on additional costs (PDF 91KB).

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Contact details

School/Faculty
Faculty of Biology, Medicine and Health
Contact name
Postgraduate Admissions Team
Telephone
+44 (0)161 543 4699
Email
School/Faculty
Faculty of Biology, Medicine and Health

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