Master of Data Science (Health) Durham University

Overview

The Master of Data Science (Health) at Durham University is a pioneering programme tailored for those aspiring to make significant contributions to the health sector through data science. This conversion course is ideal for individuals whose first degree may not have a strong quantitative focus, enabling them to enter the rapidly evolving field of data science. The curriculum is designed to provide a comprehensive understanding of data analysis, particularly in health-related contexts, where the effective use of data can lead to improved patient care and public health outcomes.

Durham University is renowned for its academic excellence and innovative research, consistently ranking among the top universities globally. The university’s Master of Data Science programmes are supported by the Institute for Data Science, which fosters collaboration across various disciplines and promotes cutting-edge research. Students benefit from access to state-of-the-art facilities and resources, enhancing their learning experience. The programme's interdisciplinary approach ensures that students gain insights from various fields, preparing them for diverse career opportunities in data science.

The tuition fees for the Master of Data Science (Health) are as follows:

• National Students: £14,500 per year
• International Students: £34,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The course structure includes a mix of core and optional modules designed to equip students with the necessary skills for a successful career in data science. Core modules include:

• Data Science Research Project
• Critical Perspectives in Data Science
• Health Informatics and Clinical Intelligence
• Models and Methods for Health Data Science
• Introduction to Statistics for Data Science

Students may also choose from optional modules such as:

• Introduction to Computer Science
• Programming for Data Science
• Machine Learning
• Society, Health and Wellbeing
• Ethics and Bias in Data Analysis

This diverse syllabus ensures that students not only learn the technical skills required for data analysis but also understand the ethical implications and societal impacts of their work.

As the demand for data science professionals continues to grow, particularly in the health sector, graduates of this programme will find themselves well-positioned to enter a dynamic job market. The skills acquired during the course are applicable across various industries, including healthcare, environmental sciences, and social analytics, where data-driven decision-making is increasingly vital.

Graduates of the Master of Data Science (Health) will have numerous career opportunities in sectors such as healthcare, public health, and data consultancy. Alumni have successfully secured positions in prestigious organisations, leveraging their expertise in data analysis to drive improvements in health outcomes and operational efficiency. Job roles may include data analyst, health informatics specialist, and data scientist, among others.