📖Program Curriculum
Key topics and technologies taught will be:
Mathematics and statistics for data science
Programming using Python
Applying AI to real-world problems
Machine learning
Computer vision
Natural language processing
Deep Learning
Heuristic optimisation
For those interested in a January start the duration of the course will be 21 months. For example students starting in January 2023 will graduate in November 2024. This decision was made to allow students to learn flexibly and enhance other skills during the summer months when teaching is not available.
Modules
The module information below provides an example of the types of course module you may study. The details listed are for the current academic year (September 2022). Modules and start dates are regularly reviewed and may be subject to change in future years.
There are three options for this course:
Starting September full time (Stirling Campus)
There are two alternative paths in year one. Please review all options carefully.
Year 1 Autumn semester (Option 1)
Compulsory module
Module Credits
Commercial and Scientific Applications (ITNPBD4) 20 credits
Option module
Select 10 credits from Statistics for Data Science list
Module Credits
Statistics for Data Science (MATPMD1) 10 credits
Option module
Select 10 credits from Networks & Graph Theory list
Module Credits
Networks & Graph Theory (MATPMD2) 10 credits