Studyportals
Master On Campus

Data Science

Durham University

12 months
Duration
24900 GBP/year
10500 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Master of Data Science MDS course at Durham University 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 that is not highly quantitative, including those in social sciences, the arts and humanities. 

Overview

Description

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 with non-technical degrees 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 Master of Data Science MDS course at Durham University provides training in relevant areas of contemporary data science in a supportive research-led interdisciplinary learning environment.  The broad aims are:  

  • To develop advanced and systematic understanding of the complexity of data, including the sources of data relevant to science, alongside appropriate analysis techniques
  • To enable students to critically review and apply relevant data science knowledge to practical situations
  • To develop a critical awareness of current issues in data science which is informed by leading edge research and practice in the field
  • To develop a conceptual understanding of existing research and scholarship to enable the identification of new or revised approaches to data science practice
  • To develop creativity in the application of knowledge, together with a practical understanding of how established, advanced techniques of research and enquiry are used to develop and interpret knowledge in data science.
  • 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.
  • To develop advanced conceptual abilities and analytical skills in order to evaluate the rigour and validity of published research and assess its relevance to new situations
  • To extend the ability to communicate effectively both orally and in writing, using a range of media. 

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

Programme Structure

Core modules:

The Master of Data Science is comprised of the following core modules:

  • Ethics and Bias in Data Analytics
  • Machine Learning
  • Programming for Data Science
  • Strategic Leadership
  • Mathematics for Data Science
  • Research Project 
Examples of optional modules:
  • Text Mining and Language Analytics
  • Data Exploration, Visualization, and Unsupervised Learning

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Required

Other requirements

General requirements

Subject requirements, level and grade

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

Tuition Fee

To alway see correct tuition fees
  • International

    24900 GBP/year
    Tuition Fee
    Based on the tuition of 24900 GBP per year during 12 months.
  • National

    10500 GBP/year
    Tuition Fee
    Based on the tuition of 10500 GBP per year during 12 months.
  • Home/Island Student: £10,500.00 per year 
  • International non-EU/EU Student: £24,900.00 per year

Living costs for Durham

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Data Science
-
Durham University

Wishlist

Go to your profile page to get personalised recommendations!

Tuition fee settings