Study Details: MSc 1 year full-time
Data science is an increasingly attractive career destination for graduates, offering lucrative and fulfilling employment opportunities in a variety of sectors.
The purpose of this course is to 'upskill' psychology graduates (and those from neighbouring disciplines) to prepare for a career in data science, with a particular emphasis on human-related data sets that are common in industry and third sector organisations.
This could include the use of social media data, large-scale customer surveys, game data, neuroimaging data, and census data to address problems relevant to businesses, charities and governments. You'll graduate with a unique set of skills that will allow you to work professionally with such data sets and any that involve human behavioural data.
Based in the Department of Psychology, the course is delivered by an interdisciplinary team of experts in the analysis of human behavioural data, and is embedded in a wider portfolio of data science courses across the institution.
2:2 or equivalent in an undergraduate degree in Psychology, or cognate discipline such as a Social Science with a statistical element.
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You'll acquire skills and experience critical to contemporary data science practice, using human-relevant data. You'll build a portfolio of outputs to showcase to potential employers, demonstrating your programming and analysis skills.
You'll have access to the University’s careers service, which includes provision from dedicated careers advisors. On completion of the course, you'll be competitive applicants for a wide variety of data science roles, across industry, government and third sector organisations.
Career opportunities:
Core modules
Data Analysis and Programming in the Biosciences
Ethics and Data Governance
Data Visualisation
Advanced Methods in Behavioural Research
Big Behavioural Data
Option modules
Introduction to Programming
Data Analysis in Neuroimaging
Advanced Work-Based Learning
Memory and the Brain
Human Risk
Microanalysis of Communication
Psychology of Health
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
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