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Master of Data Science (Social Analytics) at Durham University - UCAS

Durham University

Degree level: Postgraduate

Master of Data Science (Social Analytics) (Taught)

Course summary

Course details 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 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 opens up a future in data science even if your first degree is in a non-quantitative subject (including the social sciences, the 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 MDS provides training in contemporary data science, learning from practicing researchers who are making a difference across a range of industries. Why Durham University? Durham University is home to the specialist Institute for Data Science, which acts as a hub for new ideas and works to realise its vision to help transform nature, society and culture. The Institute has many years of supporting taught degrees from Departments across the University. Our Masters of Data Science programmes deliver the expertise to capture and analyse the huge amounts of data being generated across the world. The suite of interdisciplinary degrees unlocks key information that will ultimately result in more informed decisions being made in all areas of life. The Masters of Data Science programmes develop expertise on the capture and processing information derived from the vast volumes of complex data being generated across the globe that affects all our lives. A wide range of groups such as businesses, researchers, governments, communities, families and individuals can all use that data to make more informed decisions and therefore increase the chances of better outcomes for society, in fields such as health, environmental sciences, and social analytics. Facilities Data Science is a conversion course that incorporates content from many Departments across the University. This provides access to a selection of related state-of-the-art facilities from across the University, in particular Computer Science and Mathematics. Facilities will depend on the subject specialism but include laboratories, libraries, project spaces, lecture theatres, study and networking spaces as well as shared social spaces. Most departments are close to the historic centre of Durham which is a UNESCO World Heritage site. Career Opportunities 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.

Modules

For current information please scroll to the bottom of the page for Provider Information and select Visit our Course Page under Course Contact Details.

Assessment method

The Master of Data Science (Social Analytics) is assessed via a combination of essays, online assessments, reports and presentations – both individual and in small groups. The course culminates in a major research project, which is conducted and written up as an independent piece of work with support from your appointed supervisor. In addition to the help provided by your subject lecturers, you can also access extensive support for your assessments through ASC, the Academic Skills Centre. See below for details: https://www.durham.ac.uk/departments/centres/academic-skills-centre/


How to apply

International applicants

Durham has a long and proud history of welcoming students from countries across the globe. For further details please see: https://www.durham.ac.uk/study/international/ If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway programme at the Durham University International Study Centre. Please see: https://www.durham.ac.uk/study/international/pathway-programmes/pre-masters/

Entry requirements

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 Social and Behavioural Sciences are strongly encouraged to apply. For International Country and Region specific qualifications please see: https://www.durham.ac.uk/study/international/regional-pages/ Please check the Requirements and Admissions section of the course database for details and exact requirements. Guidance for Home Applicants You can apply to this course by clicking the link “Apply” at the top right of the page above Course Summary. This will redirect you to Durham University Post Graduate information page where you will be able to apply via the Post Graduate Applicant Portal.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5with no component under 6.0
TOEFL (iBT)92with no component under 23

Acceptable evidence and levels required can be viewed by visiting the link below under English Language requirements. You should be able to demonstrate satisfactory English proficiency before the start of a programme of study, whether via the submission of an appropriate English language qualification or by attendance on an appropriate pre-sessional course. For more information on pre-sessional courses please visit: https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/pre-sessional-english-language-required/

English Language requirements

https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/


Fees and funding

Tuition fees

England £14500 Year 1
Northern Ireland £14500 Year 1
Scotland £14500 Year 1
Wales £14500 Year 1
Channel Islands £14500 Year 1
EU £34000 Year 1
International £34000 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

The tuition fees shown are for one complete academic year of study and are set according to the academic year of entry. Fees will be subject to an annual inflationary increase and are expected to rise throughout the programme of study. The fee listed above is for the first year of the course only. For more details see: https://www.durham.ac.uk/study/postgraduate/tuition-fees-and-charges/tuition-fees---how-much-are-they/ Depending upon your chosen course of study there may also be additional course costs for things like books (if you want to purchase them), field trips etc which you will learn more about during your induction to the course.

Sponsorship information

Durham University offers a range of scholarship opportunities to academically well-qualified and highly motivated students. For further details, including deadlines for application, please visit: https://www.durham.ac.uk/study/scholarships/

Master of Data Science (Social Analytics) at Durham University - UCAS