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Security cameras, satellites, mobile devices, homes, and workplaces constantly generate data around us. Meanwhile, technological advancements have democratized data science, unlocking fresh possibilities to understand human-environment interactions – particularly in healthcare, where data utilization is revolutionizing personalized treatment and enhancing public health outcomes.
Building on this foundation, we developed the Master of Data Science (Health), a conversion program welcoming graduates from non-quantitative backgrounds into data science careers. Learn from active researchers impacting various industries. Core modules shared among MDS programs provide statistical and machine learning fundamentals, while health-specific courses concentrate on complex healthcare data systems. Ideal for both research-oriented analysts and healthcare graduates seeking workplace-relevant data modeling skills.
Starting with foundational modules, the curriculum advances to modern techniques like R-based statistical analysis and Python programming. Specialized modules examine clinical decision-making data, survival analysis, epidemiological methods, and address critical issues like data governance and privacy.
The program concludes with a research project, allowing students to apply acquired skills to healthcare challenges. The Durham Research Methods Centre facilitates project partnerships with NHS Trusts and health organizations.