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Social Research Methods with Data Science MSc

UCL (University College London)

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • Duration

    1 Year

Course summary

Social Research Methods with Data Science MSc is designed to cover cutting-edge research methods, with a focus on data science, used in collating evidence for the analysis, critique and evaluation of substantive issues in the social sciences, such as social justice, health disparities, migration, crime, gender, political identity. It can be studied on campus or online, allowing you to engage with the programme from anywhere in the world.

About this degree

Students in this degree will learn data science in-depth and can choose either this as their speciality or a mixed methods approach to their curriculum, including qualitative methods and evidence synthesis. They are encouraged to apply their understanding of methodology to critique existing research, design their own research, carry out their own analysis and communicate clearly with academic specialists and non-specialists. All students gain hands-on experience in a range of methodologies used to study issues of interest in the real world.

The programme is available full-time (one year), part-time (two years) or via flexible/modular study (taking a maximum of five years to complete).

Tuition fees

Students living in Hong Kong
(International fees)

£ 33,000per year

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

University information

UCL (University College London)

  • University League Table

    9th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom

Subject rankings

  • Subject ranking

    7th out of 117 2

    10th out of 101

  • Entry standards

    / Max 227
    208 92%

    7th

  • Graduate prospects

    / Max 100
    93.0 93%

    16th

    9
  • Student satisfaction

    / Max 4
    2.88 72%

    97th

    51
  • Entry standards

    / Max 206
    183 89%

    5th

  • Graduate prospects

    / Max 100
    82.0 82%

    4th

    1
  • Student satisfaction

    / Max 4
    3.03 76%

    44th

    23

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