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. This has led to a significant increase in demand for skilled data scientists, and this demand is predicted to further grow.
Drawing on this, we have created the Master of Data Science (Bioinformatics and Biological Modelling), a conversion course that equips you with the skills to access, clean, analyse, and visualise data, opening a future in data science even if your first degree doesn’t include a strong data component. It is likely to appeal to those with a background in biological or physical sciences.
The MDS provides training in contemporary data science, learning from practicing researchers who are making a difference across a range of industries. Shared core modules across the suite of MDS courses build wider skills in statistical and machine learning, while subject-specific modules will develop your quantitative skills in bioinformatics and biological modelling. It is equally suitable whether you are planning to use quantitative analysis in a research capacity in molecular biology, or if you are a physical or biological science graduate who wants to learn transferrable data and modelling analysis skills.
The course begins with a range of introductory modules before progressing to more advanced contemporary techniques in machine learning to expand your knowledge and understanding. We offer an extensive range of optional modules which allows you to focus on an area of interest such as text analytics and data visualization. Optional modules allow you to focus on an area of interest.
The MDS culminates in the research project, an in-depth investigation in which you apply the skills learned during the course to a research problem working alongside an expert in the area of application of your choice.
