Built Environment : Sustainable Heritage (Data Science) MSc 12 months Postgraduate Programme By UCL |TopUniversities
Subject Ranking

# =24QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

36,500 GBPTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The opportunities for using data science in different contexts are vast. Employers from increasingly diverse sectors now require people with skills in a range of state-of-the-art methods and technologies to understand, manage and exploit data. This degree pioneers a new way of teaching data science through application in the cross-disciplinary context of cultural heritage. 

As a student on the Data Science route of the Sustainable Heritage MSc you will develop advanced data science skills, such as coding, crowd-sourced data science, machine learning and data visualisation. 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.

Data science underpins much of modern science. By examining the topic through the lens of cultural heritage, we can emphasise the human side of data science. Studying and applying data science methods to heritage will help you develop a broader experience in the field with the ability to consider the needs of users, the public and a broad range of stakeholders, alongside the more technical aspects of data science.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The opportunities for using data science in different contexts are vast. Employers from increasingly diverse sectors now require people with skills in a range of state-of-the-art methods and technologies to understand, manage and exploit data. This degree pioneers a new way of teaching data science through application in the cross-disciplinary context of cultural heritage. 

As a student on the Data Science route of the Sustainable Heritage MSc you will develop advanced data science skills, such as coding, crowd-sourced data science, machine learning and data visualisation. 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.

Data science underpins much of modern science. By examining the topic through the lens of cultural heritage, we can emphasise the human side of data science. Studying and applying data science methods to heritage will help you develop a broader experience in the field with the ability to consider the needs of users, the public and a broad range of stakeholders, alongside the more technical aspects of data science.

Admission Requirements

69+
100+
2.7+
185+
7+
A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required.

1 Year
Sep

Domestic
20,500 GBP
International
36,500 GBP

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