Course options
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Qualification
Postgraduate Certificate
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Location
The University of Manchester
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Study mode
Full time
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Start date
01-SEP-25
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Duration
1 year
Course summary
Course overview
This Clinical Data Science course was co-created with end users and industry partners to develop a flexible programme suitable for busy health and social care practitioners.
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 problem.
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.
Units can be studies full-time, part-time or as CPD.
Course description
This Clinical Data Science course aims 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. The course is aligned to NHS values, aiming to enhance your ability to work better together and translate data into patient benefit.
The course will support the development of data science, statistics, and machine learning capabilities across the health and social care workforce, leading to a postgraduate qualification in Clinical Data Science.
You will develop your data science skills and drive digital transformation in your practice. The course will not train you to become a data scientist.
You will combine your clinical, health and social care knowledge and experience with computer science methods and maths, stats and machine learning skills to make use of your data and add valie to your clinical work.
Please note course content is subject to approval.
Teaching and learning
You will benefit from blended teaching that will provide a rich mixture of online and face-to-face learning opportunities.
There will also be the opportunity for networking with other digital leaders and champions, and academic experts.
This course uses real world case studies and interviews with people applying data science in healthcare, allowing you to get a real insight into how clinical data is used in practice to benefit patients.
Career opportunities
Taking this course will help you gain the skills and knowledge needed to be at the forefront of the current digital transformation agenda taking place in healthcare.
You will be ideally placed to work with other data centric professionals on digital transformation and informatics projects as well as making better use of datasets that may already be available to you in your area.
The course can also provide a starting point for professionals who are interested in a career change and would like to move into a data science/engineering role in healthcare.
Modules
Tuition fees
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- Mauritania
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- Moldova
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- Spain
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- Sudan
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- Sweden
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- Syria
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- Tunisia
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£ 9,600per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
University of Manchester
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University League Table
22nd
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Campus address
The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, England
Subject rankings
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Subject ranking
11th out of 117 2
20th out of 36
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Entry standards
/ Max 227192 84%12th
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Graduate prospects
/ Max 10094.0 94%9th
20 -
Student satisfaction
/ Max 42.96 74%75th
16 -
Entry standards
/ Max 247176 71%18th
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Graduate prospects
/ Max 10099.0 99%20th
2 -
Student satisfaction
/ Max 42.84 71%31st
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