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.
This particular course
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 |
All Anthropology courses of Durham University
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 |
All Anthropology courses in the UK
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.
This particular course
Current jobs
All courses of Durham University
Required skill level of job after 15 months
This particular course
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
Entry Requirements / Admissions
UCAS Tariff of Accepted Students for this course
This particular 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
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
-
Total number of students enrolled at Durham University by level Academic year 2021/22 - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
- undergraduates:
- 17140
- postgraduates:
- 4365
- Total:
- 21505
-
Number of students enrolled in courses of subject “Applied Computing”: Academic year - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
Where is this programme taught
Similar courses
Program | University | Student satisfaction | Unemployed | Dropout | Tuition (UK) | Tuition (International) | UCAS Tariff | City | ||
---|---|---|---|---|---|---|---|---|---|---|
Data Science Msci (Hons) | University of Exeter | 83% | 5% | 1% | £9250 | £27000 | 167 | Exeter | On campus Full-time | |
Mathematics and Data Science Msci (Hons) | University of Exeter | 82% | 5% | 5% | £9250 | £27000 | 167 | Exeter | On campus Full-time | |
Data Science MSc | The University of Warwick | - | - | - | £9250 | - | - | Coventry | On campus Full-time | |
Physics with Data Science Msci (Hons) | Queen Mary University of London | - | - | - | £9250 | - | - | London | On campus Full-time | |
Data Science with Foundation Year BSc (Hons) | University of Keele | - | - | - | - | - | - | Newcastle under Lyme | On campus Full-time | |
Data Science with Applied Business Informatics with Foundation Year Msci (Hons) | University of Keele | - | - | - | - | - | - | Newcastle under Lyme | On campus Full-time | |
Applied Data Science MSc (PG) | University of Essex | - | - | - | £10000 | £21700 | - | Colchester | On campus Full-time | |
Data Science MSc MSc | Kingston University | - | - | - | £9860 | £17500 | - | Kingston upon Thames | On campus Full-time | |
Master of Data Science (Social Analytics) MSc | Durham University | - | - | - | £13500 | £31500 | - | Durham | On campus Full-time | |
Data Science MSc (PG) | Middlesex University | - | - | - | £10500 | £15300 | - | London | On campus Full-time |
Ranking publishers
The University League Tables
- Published:
- 08 June, 2023
THE Times Higher Education, UK
- Published:
- 19 October, 2023
- Criteria used in ranking -THE World University Rankings by Subject:
- 37.4% Teaching (the Learning Environment)
37.6% Research (Volume, Income and Reputation)
15% Citations (Research Influence)
7.5% International Outlook (Staff, Students and Research)
2.5% Industry Income (Knowledge Transfer)
NTU ranking
- Published:
- 11 July, 2023