Durham University
Master of Data Science MDS
Durham University

Key Course Facts

Student Reviews

Below you can see course specific reviews for 15 graduates of Master of Data Science MDS at Durham University for each of the survey questions in comparison to the average for all UK degree courses in Anthropology.

Overall student satisfaction
79 /100
15 total respondents
The NSS is commissioned by the Office for Students

Salary

Salary of Graduates in Anthropology

Important: Salary data below is not course specific, but contains data of all students of Anthropology at the university. Due to data collection methodology, salary data is mainly based on data related to undergraduate students.

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £26500 £27000 £33000
25-75 percentile range £22000 - £32500 £21000 - £32000 £23000 - £45500


Salary of all UK Graduates of Anthropology

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £25000 £22450 £26876
25-75 percentile range £21000 - £28000 £16925 - £28392 £20314 - £34845

Course Description

Are you looking to follow a career in data, or are you passionate about progressing in your chosen area of expertise? With data playing an increasingly significant role, and impacting all areas of our lives, expertise in data science is becoming ever more important.

The Master of Data Science is for students holding a degree that is not highly quantitative in nature. It provides the opportunity to study a programme rich in the substance of data science.

This course with a hard-core of data science will provide you with a Masters-level education focused on data science. Whether you have a background in social sciences, arts and humanities or any other discipline without data science at its core, this programme provides a range of options for you.

Programme choices

Master of Data Science (Digital Humanities)

Master of Data Science (Social Analytics)

Master of Data Science (Health)

Master of Data Science (Earth and Environment)

Master of Data Science (Bioinformatics and Biological Modelling)

Why Master of Data Science?

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. Businesses, researchers, government, communities, and families can use that data to make informed and rational decisions that lead to better outcomes. It is impossible for anyone 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.

The advent of new techniques and increases in computing power means that data science is now much more accessible to all. Our programme will support you to learn how to access, clean, analyse, and visualize complex data. This learning, along with your expertise in your degree subject or discipline, and experience will enable you to grasp the full meaning and significance of data in your area, undertaking data analysis intelligently and providing a significant employment advantage.

The programme

Whether you choose the core Master of Data Science or one of our more specific programmes relating to your knowledge, discipline expertise or area interest, you will find all introductory modules are designed to bring students 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. Core modules then introduce you to the full range of data science methods, building from elementary techniques to advanced modern methods such as neural networks and deep learning. Optional modules allow you to focus on an area of interest.

The course provides training in relevant areas of contemporary data science in a supportive research-led interdisciplinary learning environment. The broad aims are:

  • To provide you with an advanced understanding of data science, with the skills needed to apply this to your work
  • To develop your skills to enable you to critically review, interpret and apply relevant data science knowledge to practical situations
  • To develop the ability to conduct research into data science issues that requires familiarity with a range of data, research sources and appropriate methodologies and ethical issues.

A number of subjects can be identified and defined within each application domain. Whilst a Masters 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.

The global dimension is reinforced through the use of international examples and case studies where appropriate.

Jobs & Career Perspectives

15 months after graduation, graduates of this course were asked about what they do and, if they are working, about their current job and their perspectives.

Current jobs

Required skill level of job after 15 months

Jobs of graduates of this course (15 months after graduation)

Example below based on all graduates of Master of Data Science MDS at Durham University

35% Sales occupations
15% Teaching Professionals
10% Teaching and Childcare Support Occupation
10% Business and public service associate professionals
10% Elementary occupations
10% Artistic, literary and media occupations
10% Administrative occupations
10% Welfare and housing associate professionals

Grading & Study Time

The Master of Data Science is research-oriented. Data Science is a driving force behind many subject specialisations today and aspects are delivered within the context of an active and varied research culture as is demonstrated via the associated academics and researchers within the Institute for Data Science Students are also encouraged, through a range of modules, to develop research methods, skills and ethics reflecting the wide range of methods used by the research active staff. Research methodologies are actively taught through many other modules and assessments. They are also developed through innovative teaching practices such as simulations. Overall students are encouraged and guided to be ‘research minded’ in all modules, and to develop these critical skills for the future. All modules taught on this degree are underpinned by research, and embed elements of research training both in the delivery and in the assessment. The Master of Data Science uses a wide range of learning and teaching methods: **Lectures** **Seminars** **Workshops** **Computer/practical classes** **Independent study, research and analysis** **Structured reading** **Case studies** **Data Science Project** **Supervisions** **Group and individual oral presentations** The project is a major research project, conducted and written up as an independent piece of work with support from the student’s appointed supervisor. Student academic support and guidance is provided through the members of the Management Board, module coordinators, and individual lecturers. This support may take the form of face-to-face contact, telephone, e-mail, or other online contact, as appropriate. Students also have an appointed Academic Advisor who is able to guide and inform them in their academic development and choice of optional modules. Information, requirements and expectations regarding the programme overall are provided in the Programme Handbook, which is issued to all students at the beginning of the year and is available on Blackboard Ultra afterwards. This is supplemented information on module aims/learning outcomes, content, key skills, formative and summative assessments and recommended reading. Academic support to students is initially provided through an induction programme which provides an introduction to the University, the contributing departments, the programme, and key members of staff.

Entry Requirements / Admissions

UCAS Tariff of Accepted Students for this course

Requirements for international students / English requirements

IELTS academic test score (similar tests may be accepted as well)

    • 6.5
    • All other courses
    • 4.5
    • Foundation
    • 6.5
    • Graduate Degrees
    • 6.5
    • Undergraduate Degrees

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.

For further information see the course listing.
Get advice on which foundation courses are best for you to still study Master of Data Science, MDS, if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

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

Costs

Tuition Fees Master of Data Science MDS

England UK £13500 year 1
Northern Ireland £13500 year 1
Scotland £13500 year 1
Wales £13500 year 1
Channel Islands £13500 year 1
EU £31500 year 1
International £31500 year 1
Ireland £31500 year 1

Additional fee information

The tuition fees shown are for one complete academic year of study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).

Average student cost of living in the UK

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

University Rankings

Positions of Durham University in top UK and global rankings.

Rankings of Durham University in related subject specific rankings.

Computer Science

    • #4 
    • #4 
    Computer Science
    CUG The Complete University Guide - By Subject
    [Published 08 June, 2023]
    • #34 
    • #301 
    Computer Science
    THE World University Rankings by Subject
    [Published 19 October, 2023]
    • #28 
    • #451 
    Computer Science
    NTU Rankings by Subject
    [Published 11 July, 2023]

See all 38 university rankings of Durham University

About Durham University

Founded in 1832, Durham University (DU) is located in the cathedral city of Durham, North East England. DU takes pride in having numerous subject fields ranked among the best in the world according to QS, as well as having an exceptionally large course catalogue without compromising the quality that students can expect. Apart from the impressive academic opportunities on offer, students can also participate in numerous sports, music, and art-based extracurricular activities on-site.

List of 211 Bachelor and Master Courses from Durham University - Course Catalogue

Student composition of Durham University

undergraduates:
17140
postgraduates:
4365
Total:
21505
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Where is this programme taught

Durham University
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