Computer Systems Engineering MSc
Web Science for MSc COMPSCI5107
- Academic Session: 2025-26
- School: School of Computing Science
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
Short Description
Web Science is the study of the World Wide Web (WWW), its components, facets and characteristics and the impact it has on both society and technology. The World Wide Web changed the way in which we create information, communicate and interact. New models of social networks (LinkedIn, Facebook, etc.) create opportunities, which were not available before. Exploiting such data and networks for the benefit of individuals and organizations has become a key in our knowledge society.
Timetable
TBC
Excluded Courses
None
Co-requisites
None
Assessment
Coursework 20%, Exam 80%
Main Assessment In: April/May
Course Aims
The objective of this course is to introduce students to the field of web science and critically examine methodologies and techniques used in the field.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. Skills to analyse and implement technical solutions on social web applications
2. Able to apply generative AI solutions to web applications.
3. Describe the techniques needed to analyse social networks
4. Ability to understand and rationalise privacy threats and mitigation strategies in online communities
5. Describe methodologies to conduct large-scale data analysis to analyse user behaviour on the web.
6. Develop prediction models for structured and unstructured textual data.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.