Study cover for Data Science for Cultural Heritage
M.Sc. On Campus

Data Science for Cultural Heritage

University College London (UCL)

12 months
Duration
28500 GBP/year
16000 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science for Cultural Heritage programme from University College London (UCL) will create expert data scientists taught through the exciting lens of cultural heritage.

Visit the official programme website for more information

Hey there 👋🏼

Interested in some tips for finding the best matching programme for you?

Here is a checklist of the most common actions that users take before finding their dream programme.

Completed items

Search with at least 2 filters
You can use the search page. The filter section on the left contains a variety of useful filters.
0 / 5
Visit 5 programme pages
You can find programmes in different ways. If you haven't viewed any programmes yet, the search page is probably a good place to start.
0 / 2
Visit 2 university pages
You can find universities in different ways. From the page of a programme you like you can jump to the corresponding university or you can start with the country you like and check a list of universities there.
Take our personality test
Would you like to know what kind of programme would fit your personality best? Go to the personality test page to take the test.
Take our country test
Would you like to which country would be the ideal place for you to study? Go to the country test page to take the test.
Create an account
Creating an account gives you a number of benefits. It will unlock 6 more items on your checklist. Some new things you'll be able to do are:
  • Check your fit with a programme
  • View recommendations
  • Compare programmes

Overview

The Data Science for Cultural Heritage programme from the University College London (UCL)   pioneers a new way of teaching data science through application in a cross-disciplinary context. As a student on the Data Science for Cultural Heritage MSc (DaSCH), you will develop advanced data science skills, such as crowd sourced data science, machine learning and imaging data analysis. You will explore the complexities of acquisition, analysis and exploitation of the variety of data that is generated and used in heritage contexts, including data generated through analysis and measurement, imaging and surveying, citizen science, and digitally born data.

Careers

Data science is in high demand in many and diverse industries. As a graduate of MSc DSCH you will be ideally placed to gain employment as data scientist, in particular in those sectors that foster interdisciplinarity and break barriers between technology and humanities or social sciences. 

The programme has been developed with input from industry leaders from a diversity of sectors, including architecture, heritage, social media or digital technologies. You will gain exposure to real data challenges from these industries and will develop skill set in data science that will be highly transferable across these and many other sectors.

Employability

Cross-disciplinarity, an applied focus, an emphasis on innovation and critical thinking are the key qualities that will define the professional character of our graduates and will make you stand out from other data scientists. 

You will develop advanced data science skills, as well as many transferrable skills such as coding, presentation and communication skills, working with different stakeholders, problem contextualization or public engagement techniques.

Programme Structure

Courses included:

  • Heritage Data Mapping and Visualization 
  • Heritage Data Management 
  • Heritage Imaging 
  • Crowd Sourcing and Citizen Data for Cultural Heritage 
  • Machine Learning for heritage 
  • Environment Material Interactions

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Other requirements

General requirements

  • A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required.

Tuition Fee

To alway see correct tuition fees
  • International

    28500 GBP/year
    Tuition Fee
    Based on the tuition of 28500 GBP for the full programme during 12 months.
  • EU/EEA

    16000 GBP/year
    Tuition Fee
    Based on the tuition of 16000 GBP for the full programme during 12 months.

Part-time fee

  • UK/EU: £8000
  • Overseas: £14250

Living costs for London

1137 - 2157 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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Data Science for Cultural Heritage
-
University College London (UCL)

Wishlist

Go to your profile page to get personalised recommendations!