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Master of Data Science (Digital Humanities) MDS


Что я буду изучать?

Course Summary

The Master of Data Science (Digital Humanities) is a conversion course with a hard-core of data science, intended to provide Masters-level education rich in the substance of data science for students who hold a first degree in the Humanities. All around us, massive amounts of increasingly complex data are being generated and collected, for instance, from mobile devices, cameras, cars, houses, offices, cities, and satellites. Business, research, government, communities, and families can use that data to make informed and rational decisions that lead to better outcomes. It is impossible for any one individual or group of individuals to keep on top of all the relevant data: there is simply far too much. Data science enables us to analyse large amounts of data effectively and efficiently and as a result has become one of the fastest growing career areas.

Previously, data science was the province of experts in maths and computer science, but the advent of new techniques and increases in computing power mean that it is now viable for non-experts to learn how to access, clean, analyse, and visualize complex data. There is thus a growing opportunity for those already in possession of knowledge about a particular subject or discipline, and who are therefore able to grasp the full meaning and significance of data in their area, to be able to undertake data analysis intelligently themselves. The combination of primary domain knowledge with an expertise in extracting relevant information from data will give those with this ‘double-threat’ a significant employment advantage.

Introductory modules are designed to bring students who are complete beginners and will require no prior knowledge of mathematics or programming up to speed with the background necessary for data science. This is done on a need-to-know basis, focusing on understanding in practice rather than abstract theory. Data Science core modules will include an introduction to mathematics for Data Science, statistical modelling (in R), computer programming (in Python), machine learning, AI and neural networks.

The course is designed around a pedagogical framework which reflects the core categories of the data science discipline.

A number of subjects can be identified and defined within each application domain. Whilst a Masters degree cannot incorporate all subjects, a selection of subjects representative of each domain ensures that the course incorporates the necessary breadth and depth of material to ensure a skilled graduate.

The Masters allows for progressive deepening in your knowledge and understanding, culminating in the research project which is an in-depth investigation of a specific topic or issue where you will apply the techniques you have learned from your Data Science modules to a research problem in a Humanities domain of your choosing.

На каком факультете я буду учиться?

Natural Sciences

Варианты обучения

Очная (1 год)

£26,900.00 (2,001,488 руб) за 1 год
Это фиксированная стоимость

*Это примерная цена, проверьте ее в вузе

Начало обучения

Предполагаемое начало: Сентябрь 2023


Durham University

The Palatine Centre,

Stockton Road,


DH1 3LE, England

Вступительные требования

Для студентов, проживающих в Соединенных Штатах

Students need to have Masters Degree.

Для иностранных студентов

A UK first or upper second class honours degree or equivalent in ANY degree that is not highly quantitative, including those in social sciences, the arts and humanities. Evidence of competence in written and spoken English if the applicant’s first language is not English: minimum TOEFL requirement is 102 IBT (no element under 23) minimum IELTS score is 7.0 overall with no element under 6.0 or equivalent

Требования к IELTS могут отличаться в зависимости от выбранного курса


O Durham University

Durham University – авторитетный, прогрессивно мыслящий вуз, соединивший богатую историю с современными ценностями.

  • вуз обучает более 18,000 студентов со всего мира
  • вуз входит в топ-30 международных университетов мира
  • вуз имеет «золотой стандарт» качества преподавания TEF
  • университет входит в топ-5 вузов Великобритании

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