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MSc Social Network Analysis

University of Manchester

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University of Manchester

Course options

  • Qualification

    MSc - Master of Science

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    14-SEP-26

  • Duration

    1 Year

Course summary

The programme aims to offer a unique comprehensive training in social network analysis (SNA) covering theoretical foundations, research design, data collection techniques, methods for the analysis and visualization of network data, and statistical modelling of networks. At the end of the programme the students will be able to:Design research projects using SNA in a variety of applicative areas.Critically engage with the theoretical foundations of SNA and use them to formulate robust and coherent SNA empirical questions.Collect social network data in online and offline contexts, selecting the right data collection tools and assessing the validity and reliability of the data collection.Apply a wide range of analytical techniques to social network data.Statistically model the mechanisms for social network formation and evolution.Develop network studies and intervention that can be used in private and public sectors.Write social network analysis academic reports

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Tuition fees

Students living in United States
(International fees)

£ 26,300per 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 Manchester

University of Manchester

  • University League Table

    24th

  • Campus address

    The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, England

VIEW PROFILE

Subject rankings

  • Subject ranking

    Computer Science

    9th out of 118

    13th out of 103 7

  • Entry standards

    / Max 229
    186 81%

    12th

  • Graduate prospects

    / Max 100
    94.0 94%

    4th

    1

  • Student satisfaction

    / Max 4
    3.00 75%

    85th

    12

  • Entry standards

    / Max 200
    139 70%

    17th

  • Graduate prospects

    / Max 100
    60.0 60%

    42nd

    13

  • Student satisfaction

    / Max 4
    3.00 75%

    91st

    6

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