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Master of Data Science (Social Analytics) MDS

UK

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What will I learn?

Course details

From security cameras and satellite transmission to our mobile devices, homes, cars, and in the workplace, we are surrounded by data. 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 social environment. With companies and organisations of all types harnessing this technology to advance knowledge and aid policy and business decisions, there has been a significant increase in demand for skilled data scientists.

Drawing on this, we have created the Master of Data Science (Social Analytics), 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 is in a non-quantitative subject such as the social sciences, the arts or humanities.

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 integrate data science with social science, equipping you with the skills to design and carry out social data science research and communicate it to optimise impact across a variety of settings.

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. Social analytics modules provide insight into the specialised methods needed for social data as well as the theoretical foundations to understand how to use them effectively.

Which department am I in?

Natural Sciences

Study options

Full Time (1 year)

Tuition fees
£31,500.00 (US$ 40,830) per year
This is a fixed fee

*Price shown is for indicative purposes, please check with institution

Start date

Expected September 2025

Venue

Durham University

The Palatine Centre,

Stockton Road,

Durham,

DH1 3LE, England

Entry requirements

For international students

A UK first or upper second class honours degree or equivalent. Applicants with a first degree (or equivalent experience) involving significant content in Mathematics or Computer Science will be considered on a case-by-case basis. Students need to have: IELTS: 6.5 with no component under 6.0; TOEFL iBT: 92 (no component under 23); 176 (minimum of 169 per component) in Cambridge Scale (CPE or CAE; Pearson Academic (PTE): 62 (with no less than 56 in each Communicative Skill).

*There may be different IELTS requirements depending on your chosen course.

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About Durham University

Durham University connects a rich history with modern values to create a well-respected and forward-thinking institution.

  • Durham hosts over 18,000 students from across the world
  • Named top 30 international university in the world
  • Durham is one of the top 5 universities in the UK
  • The university received the TEF gold teaching standard

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