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UCL (University College London): Crime Science with Data Science
| Institution | UCL (University College London) View institution profile |
|---|---|
| Department | Security and Crime Science |
| Web | https://www.ucl.ac.uk |
| Study type | Taught |
MSc
Summary
This multidisciplinary Crime Science with Data Science MSc combines crime science methodology with the latest data science approaches. During this programme, you will find practical applications for the latest data science tools and techniques and harness a range of groundbreaking new technologies to help fight crime. Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a minimum of a second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard. Relevant disciplines include science subjects and those with a significant component of statistics, mathematics or quantitative methods. For example engineering, computer science or psychology. Alternatively, candidates may qualify for entry if they can offer five or more years of relevant professional experience (for example as a data scientist, data engineer or intelligence analyst). English level: Level 3 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
This multidisciplinary Crime Science with Data Science MSc combines crime science methodology with the latest data science approaches. During this programme, you will find practical applications for the latest data science tools and techniques and harness a range of groundbreaking new technologies to help fight crime. Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a minimum of a second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard. Relevant disciplines include science subjects and those with a significant component of statistics, mathematics or quantitative methods. For example engineering, computer science or psychology. Alternatively, candidates may qualify for entry if they can offer five or more years of relevant professional experience (for example as a data scientist, data engineer or intelligence analyst). English level: Level 3 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
Students will become proficient in the application of data science principles to evaluate and utilise crime and security data through critical assessment, statistical interpretation and an in-depth understanding of data analytics.
Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Normally a minimum of a second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard. Relevant disciplines include science subjects and those with a significant component of statistics, mathematics or quantitative methods. For example engineering, computer science or psychology. Alternatively, candidates may qualify for entry if they can offer five or more years of relevant professional experience (for example as a data scientist, data engineer or intelligence analyst). English level: Level 3 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
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