Computing for Data Analytics and Finance (L6) (G5219)
15 credits, Level 6
Autumn teaching
On this module, you’ll explore optimisation problems and build skills in a modern programming language.
You’ll use these skills to tackle optimisation problems that often appear in finance and data analytics. Through mathematical theory, you’ll address why standard computational methods succeed and when they may fail.
Teaching
37%: Lecture
63%: Practical (Practical, Workshop)
37%: Lecture
63%: Practical (Practical, Workshop)Assessment
40%: Coursework (Portfolio, Problem set)
60%: Examination (Computer-based examination)
40%: Coursework (Portfolio, Problem set)
60%: Examination (Computer-based examination)Contact hours and workload
This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.
We’ll make sure to let you know of any material changes to modules at the earliest opportunity.
Courses
This module is offered on the following courses: