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Our MSc Data Science and AI provides the opportunity to deepen your core competencies in data science and AI, and to strengthen your skills in developing data- and AI-driven products and services. The course actively explores the ethical and social dimensions of data science and AI —ensuring you have a deep and critical understanding of the impacts of related technologies, and a familiarity with arts and human-centred methods for designing and reasoning about new systems.
Using computer programming combined with arts and humanities critical approaches, you will apply scientific and mathematical principles to guide the creation and evaluation of mathematical models of real-world problems. This enables the creation of tools that take into account the computational and technical, but also the human, social and cultural aspects that emerge from the entanglement of humans, technology and the environment. You will apply data science and AI to a broad range of domains, involving diverse types of data and content, from numerical data to text and media. And you will critically engage with contemporary thinkers from diverse disciplines concerned with the ethical and social implications of data science and AI. You will approach through collaborative, creative problem solving which leverages and strengthens your technical and teamwork skills, critical thinking, and your knowledge of application domains and stakeholders.
Your thesis project should target your preferred technology sector or domain of work, supporting your progression to industry or further academic research.
We are committed to ensuring that your skills are set within an ethical framework and are working to embed UAL’s Principles for Climate, Social and Racial Justice.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc Data Science and AI provides the opportunity to deepen your core competencies in data science and AI, and to strengthen your skills in developing data- and AI-driven products and services. The course actively explores the ethical and social dimensions of data science and AI —ensuring you have a deep and critical understanding of the impacts of related technologies, and a familiarity with arts and human-centred methods for designing and reasoning about new systems.
Using computer programming combined with arts and humanities critical approaches, you will apply scientific and mathematical principles to guide the creation and evaluation of mathematical models of real-world problems. This enables the creation of tools that take into account the computational and technical, but also the human, social and cultural aspects that emerge from the entanglement of humans, technology and the environment. You will apply data science and AI to a broad range of domains, involving diverse types of data and content, from numerical data to text and media. And you will critically engage with contemporary thinkers from diverse disciplines concerned with the ethical and social implications of data science and AI. You will approach through collaborative, creative problem solving which leverages and strengthens your technical and teamwork skills, critical thinking, and your knowledge of application domains and stakeholders.
Your thesis project should target your preferred technology sector or domain of work, supporting your progression to industry or further academic research.
We are committed to ensuring that your skills are set within an ethical framework and are working to embed UAL’s Principles for Climate, Social and Racial Justice.
Admission Requirements
7+
The standard minimum entry requirements for this course are:
An honours degree in a relevant subject such as Computer Science, Data Science, Computing, Mechanical or Electrical Engineering, Joint Computer Science + Arts/Humanities programme.
OR a professional qualification recognised as equivalent to an Honours degree in a technology-related or engineering discipline.
AND typically, at least Grade B/Grade 6 at GCSE Mathematics.
12 Months
Sep
Tuition fees
Domestic
14,418 GBP
International
30,890 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Data Science and AI
UAL Creative Computing Institute, London, United Kingdom
12 monthsProgramme duration
30,890 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Using computer programming combined with arts and humanities critical approaches, you will apply scientific and mathematical principles to guide the creation and evaluation of mathematical models of real-world problems. This enables the creation of tools that take into account the computational and technical, but also the human, social and cultural aspects that emerge from the entanglement of humans, technology and the environment. You will apply data science and AI to a broad range of domains, involving diverse types of data and content, from numerical data to text and media. And you will critically engage with contemporary thinkers from diverse disciplines concerned with the ethical and social implications of data science and AI. You will approach through collaborative, creative problem solving which leverages and strengthens your technical and teamwork skills, critical thinking, and your knowledge of application domains and stakeholders.
Your thesis project should target your preferred technology sector or domain of work, supporting your progression to industry or further academic research.
We are committed to ensuring that your skills are set within an ethical framework and are working to embed UAL’s Principles for Climate, Social and Racial Justice.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Using computer programming combined with arts and humanities critical approaches, you will apply scientific and mathematical principles to guide the creation and evaluation of mathematical models of real-world problems. This enables the creation of tools that take into account the computational and technical, but also the human, social and cultural aspects that emerge from the entanglement of humans, technology and the environment. You will apply data science and AI to a broad range of domains, involving diverse types of data and content, from numerical data to text and media. And you will critically engage with contemporary thinkers from diverse disciplines concerned with the ethical and social implications of data science and AI. You will approach through collaborative, creative problem solving which leverages and strengthens your technical and teamwork skills, critical thinking, and your knowledge of application domains and stakeholders.
Your thesis project should target your preferred technology sector or domain of work, supporting your progression to industry or further academic research.
We are committed to ensuring that your skills are set within an ethical framework and are working to embed UAL’s Principles for Climate, Social and Racial Justice.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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