12 monthsProgramme duration
23,500 GBPTuition Fee/year
01 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data is everywhere and affects every aspect of our lives and our society – from fitness trackers to online shopping to social media. Data is used to understand human behaviour, and to inform policy, journalism and strategy.
This course is for you if you:
- are a graduate in the social sciences, business or the humanities
- have an interest in data and data-driven methods
- plan a career in the field of data science.
Understanding how and why data is used, and the societal and ethical implications of doing so, are at the heart of this MSc. On the course, you’ll explore:
- modern information and communication technologies
- the python programming language
- probability theory, statistics, linear algebra and calculus
- machine learning techniques
- ethics and interpretability.
You can choose to focus your studies on digital media, or on innovation and policy.
You’ll learn from experts at the forefront of their fields. Collaboration with our industry partners will give you career development opportunities.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data is everywhere and affects every aspect of our lives and our society – from fitness trackers to online shopping to social media. Data is used to understand human behaviour, and to inform policy, journalism and strategy.
This course is for you if you:
- are a graduate in the social sciences, business or the humanities
- have an interest in data and data-driven methods
- plan a career in the field of data science.
Understanding how and why data is used, and the societal and ethical implications of doing so, are at the heart of this MSc. On the course, you’ll explore:
- modern information and communication technologies
- the python programming language
- probability theory, statistics, linear algebra and calculus
- machine learning techniques
- ethics and interpretability.
You can choose to focus your studies on digital media, or on innovation and policy.
You’ll learn from experts at the forefront of their fields. Collaboration with our industry partners will give you career development opportunities.
Admission Requirements
- Degree requirements: You should normally have an upper second-class (2.1) undergraduate honours degree or above.
- Subject-specific requirements: Your qualification should be in Psychology, Economics, Business, or another Social Science subject with a good level of numeracy. You may also be considered for the course if you have an undergraduate degree in a different subject area and can demonstrate that you have ability with data and a reasonable level of Maths (this can be demonstrated in your school leaving qualifications).
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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International
Scholarships
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