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MSc PGDip Computational Health Data Science

  • DeadlineStudy Details: 12-36 months, full-time

Masters Degree Description

This course is for you if you want to solve real-world healthcare challenges using data-driven approaches, with effective communication and user-centric approaches to designing solutions. Advanced mathematics or computing skills are not prerequisites, although individuals with backgrounds in mathematical sciences or computing will find opportunities to deepen and further develop their expertise.

Computational Health Data Science focusses on designing healthcare apps, creating digital services and developing analytics pipelines. You’ll gain insights into the unique challenges of the healthcare industry, including the integration of human-computer interaction (HCI) principles and ethical considerations in health technology design.

The curriculum equips you with cutting-edge data science tools and methodologies to address critical healthcare problems on both local and global scales. From improving patient care pathways to supporting healthcare decision-making with advanced analytics, this degree prepares you to tackle some of the most impactful challenges in the health sector. We also integrate AI tools into the curriculum, teaching you to use them professionally to streamline workflows and implement robust, ethical and human-centred data science solutions.

Entry Requirements

2:1 Honours degree or international equivalent in any subject.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are a number of possible sources of funding: loans and grants, bursaries and scholarships.

Student Destinations

Leading employers for health data scientists include hospitals, public healthcare providers like the NHS in the UK, private healthcare companies such as Apollo in India, pharmaceutical companies, and health tech start-ups. These organisations are keen to use data science to improve patient care, optimise operations, and develop new digital health solutions.

In addition to healthcare-specific roles, the skills you will gain on this course are transferable across sectors, meaning you could work in technology companies, NGOs like UNICEF focusing on global health issues, or research institutes driving advancements in medical science.

Module Details

Core modules:

Statistics for Data Science
Fundamentals of Data Science
Health Data Research
Modelling Data
Digital Health and Innovation
Real-World Healthcare Data Analysis

Data Science Research Project

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