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Psychological Research Methods with Data Science MSc

University of Sheffield

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University of Sheffield

Course options

3 options available

  • Qualification

    MSc - Master of Science

  • Location

    University of Sheffield

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

Make the transition from psychology student to data scientist with our MSc. The course combines practical training in the latest research techniques with classes in computational data analysis.

Course description

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鈥檒l 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鈥檒l 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 from neuroimaging (EEG, fMRI), behavioural genetics, through experimental methodologies and clinical trial design, to 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, and develop your presentation skills ready to take part in our annual student-led summer conference.

The research project and literature review course components, which include coverage of meta-analysis, give you the opportunity to focus on a chosen psychological research question in detail under the supervision of one of our world-class researchers. You can choose a supervisor from an area of psychology that matches your research interests and future career aspirations within cognitive, developmental, social or clinical psychology. These projects give you the opportunity to put your new data science and research methods knowledge into practice while addressing an issue at the cutting edge of psychological research. It's common for MSc research projects and literature reviews to form the basis of publications in peer-reviewed journals.

Please see our University website for the most up-to-date course information.

Application deadline

06 September 2024

Tuition fees

Students living in Hong Kong
(International fees)

拢 29,700per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Sheffield

University of Sheffield

  • University League Table

    18th

  • Campus address

    University of Sheffield, Western Bank, Sheffield, Sheffield, S10 2TN, England

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Pathway programmes are available to help students with English as a second language and different educational backgrounds prepare for their academic career.
With nearly 11,000 international students, Sheffield is a diverse, welcoming city that's celebrated for its safety and strong sense of community and culture.
The university offers a range of scholarships for high-achieving international students who demonstrate excellent academic potential.

Subject rankings

  • Subject ranking

    Computer Science

    13th out of 117 2

    18th out of 118 4

  • Entry standards

    / Max 227
    165 73%

    22nd

  • Graduate prospects

    / Max 100
    93.0 93%

    16th

    2

  • Student satisfaction

    / Max 4
    3.10 77%

    27th

    3

  • Entry standards

    / Max 213
    150 70%

    36th

  • Graduate prospects

    / Max 100
    71.0 71%

    27th

    7

  • Student satisfaction

    / Max 4
    3.07 77%

    53rd

    54

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