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Psychological Research Methods with Data Science MSc

Psychological Research Methods with Data Science MSc

Different course options

Full time | Main Site | 1 year | SEP-26

Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course Summary

Make the transition from psychology student to data scientist with our MSc. This course combines practical training in the latest research techniques with classes in computational data analysis. Bringing together practical training in the latest research techniques with computational data analysis classes, this course has been developed to enable psychology students to make the transition to becoming data scientists.We'll train you in the most commonly applied quantitative methods including multilevel modelling, factor analysis, and structural equation modelling, as well as the skills of when to apply such techniques and how to interpret the output.Our leading psychologists, your teachers, have extensive experience of handling large data sets to answer pressing problems in psychology and they will lead your computational data analysis training and aid your transition to data science. Throughout your course, we'll teach you the skills you need and give you the opportunities to apply them to the area of psychology that you're interested in: from cognitive and developmental, to social and clinical psychology.Alongside your data science training you'll learn a broad range of research techniques such as neuroimaging (EEG, fMRI), behavioural genetics, clinical trial design, qualitative interview, diary study methodologies and specialist methods for working with infants, children and clinical populations. You'll also begin training in a range of skills that are important for data scientists in academia and professional roles: you'll understand ethical issues and the implications of using data to predict and influence human behaviour, learn how to write a grant proposal, and develop your presentation skills ready to take part in our summer postgraduate students' conference.

Modules

This module covers advanced statistical methods and software skills increasingly required by researchers and data analysts in psychology and other social science disciplines. Specific techniques covered include structural equation modelling, multilevel modelling and generalised linear models (using R software). Lectures will be used to teach the rationale behind and principles behind these techniques, with practical sessions offering the opportunity to apply and develop student's knowledge.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,340

International fees
Course fees for EU and international students

For this course (per year)

£31,190

Entry requirements

Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules. We accept degrees in the following subject areas:

  • Experimental Psychology
  • Psychology
  • Psychology with Research Methods
  • Quantitative Psychology

We may be able to consider degrees relating to Statistics for Psychology.