The Data Science pathway of this science-led programme combines knowledge of risk and disaster reduction with statistical and computational skills and digital health in emergencies.
Data science provides tools to measure and understand risks, vulnerabilities and resilience. It is fundamental for decision-making in disaster response and recovery. It helps us to understand how disaster risk may evolve in the future and how science and technology may be able to improve preparedness.
This pathway begins at an introductory level and continues with a range of optional modules covering more specialized knowledge in statistical computing and modelling. Students will be able to analyse both qualitative and quantitative data and communicate the results to wide and varied audiences that have different objectives with regard to the issues and potential solutions.
As a leading global university, we aim to nurture future leaders who are equipped with scientific knowledge of disasters and professional skills in industry-standard software.
Science of Earth and Space Hazards
Multidisciplinary Holistic Approaches
Normally a minimum of an upper second-class UK Bachelor's degree in a relevant discipline or an overseas qualification of an equivalent standard. Relevant discipline is any science, mathematical or engineering subject.
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency. The English language level for this programme is: Standard
Further information can be found on the English language requirements page.
Full time: 1 year
Part time: 2 years
Applicants who wish to choose this optional pathway must apply through the Risk and Disaster Science MSc Programme. After pre-enrolling on the Risk and Disaster Science MSc, students will be eligible to choose the Management Pathway and have the opportunity to enrol in up to two optional modules from the UCL School of Management.
Found out more on scholarships here
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website here.
28 Aug 2020
Dr Rosanna Smith at firstname.lastname@example.org
08 Jun 2020