Algorithmic Data Science (969G5)

15 credits, Level 7 (Masters)

Autumn teaching

This module teaches the computer science aspects of data science. A particular focus is on how data is represented and manipulated to achieve good performance on large data sets (> 10 GBytes) where standard techniques may no longer apply

In lectures, you'll learn about data structures, algorithms, and systems, including distributed computing, databases (relational and non-relational), parallel computing, and cloud computing.

In laboratory sessions, you'll develop your Python programming skills, work with a variety of data sets including large data sets from real world applications, and investigate the impact on run-time of your algorithmic choices.


50%: Lecture
50%: Practical (Laboratory)


100%: Coursework (Report, Test)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 44 hours of contact time and about 106 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 2024/25. 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.


This module is offered on the following courses: