From personalised medicine, to smart cities and sustainable solutions, data science is building a better world. At the same time, developments in technology have made the field of data science more accessible than ever, creating new opportunities to gain insight into the interactions between people and their environment – nowhere is this more true that in the health sector where the effective use of data is playing a vital role in tailored care for individuals and in improving health outcomes for the public as a whole.
Drawing on this, we have created the Master of Data Science (Health), a conversion course that opens up a future in data science even if your first degree is in a non-quantitative subject. You will learn from practicing researchers who are making a difference across a range of industries. Shared core modules across the suite of MDS courses will equip you with general data science skills and an understanding of how to apply those skills effectively, while subject-specific modules focus on the complex data and specialist methods used in the health system. It is equally suitable whether you are planning to use quantitative analysis in a research capacity, or if you are a health or social care graduate who wants to develop transferable data and modelling analysis skills for the workplace.
The course begins with a range of introductory modules before progressing to more advanced contemporary techniques such as statistical analysis (in R) and computer science (in Python). You will also take modules that explore the use of data for clinical and public health decisions, relevant modelling techniques such as survival and epidemiological methods, and address questions such as governance and privacy.
The course culminates in the research project, an in-depth investigation into an area of interest in which you apply the skills you’ve learned during the course to a specific topic or issue in health or social care.