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Criminology and Data Analytics - BASS

University of Manchester

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UCAS CODE: C856

Course options

  • Qualification

    Bachelor of Arts in Social Sciences - BASS

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    14-SEP-26

  • Duration

    3 Years

Course summary

On the BA Social Sciences in Criminology and Data Analytics course, you learn theories about the nature and determinants of crime, but also how to translate these theories into empirical questions that can be studied using real-life data. Specifically, you learn data analytic and data science techniques to evaluate the effectiveness of anti-crime policies, understand criminal behaviour, predict and classify criminal phenomena and describe and analyse networks of relationships between criminals, criminal organisations and society. By completing the core and optional units, you will gain sought after skills, including: how to collect, describe and visualise data how to build quantitative models to explain phenomena how to quantitatively evaluate the effectiveness of policies how to map and analyse complex social networks how to implement key machine learning algorithms how to implement data analytic techniques and data science algorithms using statistical software including R, as well as proprietary packages such as SPSS. The pathway emphasises the application of modern data analytic methods to real-life problems. Although, you will have the opportunity to learn some of the underlying theory to progress further in your career to more advanced postgraduate courses and more challenging scenarios in policy and industry.

Tuition fees

Students living in United States
(International fees)

£ 27,800per 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 League Table

    28th

  • Campus address

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

Subject rankings

  • Subject ranking

    12th out of 90 2

    20th out of 101 5

  • Entry standards

    / Max 211
    154 73%

    13th

  • Graduate prospects

    / Max 100
    74.0 74%

    47th

    18
  • Student satisfaction

    / Max 4
    3.06 77%

    52nd

    13
  • Entry standards

    / Max 210
    147 70%

    19th

  • Graduate prospects

    / Max 100
    60.0 60%

    55th

    25
  • Student satisfaction

    / Max 4
    2.96 74%

    85th

    18

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