Overview
Healthcare Data Science at University of Cambridge will be focused on cultivating highly competitive professionals capable of playing effective roles in health data science projects. The design of the course integrates the multidisciplinary nature of this field and incorporates required components from mathematics, statistics, computation, and health sciences. Its design aligns with the expectations of level 7 study while also incorporating the knowledge and skills required across research, healthcare and industry.
Aims of the programme
The course will:
- provide teaching and learning opportunities to gain the knowledge and skills that underpin and are at the forefront of the successful implementation of an advanced health-focused data science project
- equip learners with current data science tools and techniques to manage and analyse large datasets across healthcare systems
- advance learners’ programming and analytical skills for performing meaningful and reproducible analysis
- 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 health data
- promote a comprehensive understanding of the practical and ethical considerations relevant to health data, informatics and innovation
- provide work-relevant learning opportunities and practical expertise in the context of a critical awareness of current problems, best-practice, challenges, and potential solutions in the use of health data
- provide students with advanced knowledge and skills required for design and execution of the health data science project capturing: the entire process from initial curiosity driven database queries, through to data analysis, statistical inference and visualization in an impactful and reproducible output
- all Master's students will receive supervision to develop the required elements for leading a project in a work-relevant and practical manner delivered via their research dissertation
Programme Structure
Courses include:
- Data-driven Decision-making
- Principles of Health Data Science
- Health Data Science
- Data Visualisation
- Machine Learning
- Databases
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Data Science & Big Data Health Informatics View 405 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Typically, we expect a good UK undergraduate degree, such as a 2.1, or international equivalent. It is preferred that an applicant's first degree be in a subject relevant, or related to, life sciences, medical sciences, computational or data science.
Tuition Fees
-
International Applies to you
Applies to youNon-residents43656 GBP / year≈ 43656 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents21828 GBP / year≈ 21828 GBP / year
Living costs
Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Healthcare Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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