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.

Teaching

50%: Lecture
50%: Practical (Laboratory)

Assessment

50%: Coursework (Report)
50%: Examination (Computer-based examination)

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.

This module is running in the academic year 2021/22. We also plan to offer it in future academic years. However, we are constantly looking to improve and enhance our courses. There may be changes to modules in response to student demand or feedback, changes to staff expertise or updates to our curriculum. We may also need to make changes in response to COVID-19. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.