Behavioural and Data Science (MSc)
12 monthsProgramme duration
31,670 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This course offers training in the foundations of psychology, decision-making, behavioural economics and behaviour change. It will also develop your understanding of state-of-the-art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualisation.
You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, or others).
Skills from this degree
Graduates will be able to:
You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, or others).
Skills from this degree
Graduates will be able to:
- Use data to understand how and why people make the choices they do, and understanding the consequences of their choices in relation to public policy (e.g. encouraging people to save for pensions or change to low-carbon behaviours), industry (e.g. understanding how to place a new product in the market), and individual behaviour (e.g. understanding why people drink and eat too much)
- Access and analyse large-scale datasets
- Utilise state-of-the-art techniques in data analysis and visualisation
- Design and conduct studies using data analysis to understand behaviour
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This course offers training in the foundations of psychology, decision-making, behavioural economics and behaviour change. It will also develop your understanding of state-of-the-art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualisation.
You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, or others).
Skills from this degree
Graduates will be able to:
You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, or others).
Skills from this degree
Graduates will be able to:
- Use data to understand how and why people make the choices they do, and understanding the consequences of their choices in relation to public policy (e.g. encouraging people to save for pensions or change to low-carbon behaviours), industry (e.g. understanding how to place a new product in the market), and individual behaviour (e.g. understanding why people drink and eat too much)
- Access and analyse large-scale datasets
- Utilise state-of-the-art techniques in data analysis and visualisation
- Design and conduct studies using data analysis to understand behaviour
Admission Requirements
7+
130+
100+
70+
Applicants are required, at a minimum, to have a degree in a relevant subject, e.g. Psychology, Computer Science, Mathematics, Economics, etc., equivalent to a UK 2:1 or greater in order to be considered. As we anticipate receiving a large number of applications, preference will be given to those with the strongest quantitative or social sciences backgrounds.
Evidence of experience with programming in Python or R is also preferred—at a minimum, students should have online or university instruction in programming in at least one programming language. The MSc in Behavioural and Data Science is a quantitative degree and students should feel comfortable taking a mathematical approach to their thinking before they join the course. The course requires students to undertake programming assignments and long-form essay assignments and so requires students to be comfortable in programming and to have very good written communication skills in English.
On the MSc, we cover the use of statistics and computational approaches to make sense of behavioural data (e.g., regression, t-tests, machine learning). We cover programming languages for statistics and mathematical modelling. We also use maths in psychological and computer science models.
Evidence of experience with programming in Python or R is also preferred—at a minimum, students should have online or university instruction in programming in at least one programming language. The MSc in Behavioural and Data Science is a quantitative degree and students should feel comfortable taking a mathematical approach to their thinking before they join the course. The course requires students to undertake programming assignments and long-form essay assignments and so requires students to be comfortable in programming and to have very good written communication skills in English.
On the MSc, we cover the use of statistics and computational approaches to make sense of behavioural data (e.g., regression, t-tests, machine learning). We cover programming languages for statistics and mathematical modelling. We also use maths in psychological and computer science models.
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
16,600 GBP
International
31,670 GBP
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