Crime Science with Data Science at UCL (University College London) - UCAS

Course 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.


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


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Crime Science with Data Science at UCL (University College London) - UCAS