Master of Data Science (Digital Humanities),MDS

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 (Digital Humanities), a conversion course that opens up a future in data science even if your first degree is in a non-quantitative subject such as arts and humanities. The course equips you with the skills to process and analyse data, communicate your findings to a wide audience whilst applying this knowledge to practical situations.

The course begins with a range of introductory modules before progressing to more advanced contemporary techniques such as statistical modelling (in R), computer programming (in Python), machine learning, AI and neural networks. Optional modules allow you to focus on an area of interest.

The MDS culminates in the research project, an in-depth investigation into an area of specific interest in which you apply the skills you’ve learned during the course to a research problem in a humanities domain of your choice.

Explore how quantitative and computational methods can be used to explore and analyse large-scale social data to make predictions and inform future practice.

A UK first or upper second class honours degree or equivalent in ANY degree that doesn’t include a strong data science component including those in social sciences, the arts and humanities, business, and sciences.

Candidates with a degree in Arts and Humanities are strongly encouraged to apply.

Evidence of competence in written and spoken English if the applicant’s first language is not English:

• minimum TOEFL requirement is 92 IBT (no element under 23)
• minimum IELTS score is 6.5 with no component under 6.0

English language requirements

The skills and knowledge that constitute a Masters qualification in Data Science are widely sought by employers around the globe. In today’s data-driven society, the ability to capture, analyse and communicate information and trends from the data generated by business, governments and their agencies, communities and organisations is highly prized.

It follows that Data Science is a rapidly expanding career sector with opportunities for stimulating and rewarding work in many sectors including the areas of science, humanities, health, environmental and social where understanding and expertise in data is leading to transformations in the way people live and work.