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Prospective Students
- Undergraduate:
- BSc Computer Science
- MEng Computer Science
- MEng International
- MEng Mathematical Computation
- Specialist Postgraduate:
- MSc CSML
- MSc CGVI
- MSc FRMan
- MSc FRM
- MSc FSE
- MSc HCIErg
- MSc ISec
- MSc ML
- MSc NCS
- MSc SSE
- MSc Web Sci BDA
- MRes Web Science
- MSc ICT Innovation
- Generalist Postgraduate:
- MSc Computer Science
- MSc Financial Computing
- Research:
- PhD Programme
- EngD Programme
- UK PhD Centre in Financial Computing
- UCL SECReT
Current Students
- Undergraduate Programmes
- First Year
- Second Year
- Third Year
- Fourth Year
- International Programme
- Affiliate Students
- Non-CS Students
- Specialist MSc Programmes
- MSc CSML
- MSc CGVI
- MSc FRM
- MSc FSE
- MSc HCI-E
- MSc ISec
- MSc ML
- MSc NCS
- MSc SSE
- Generalist MSc Programmes
- MSc CS
- MSc FC
- Research Degrees
- EngD VEIV
- MPhil/PhD
- PhD in FC
- Further Information
- Student Information
- Undergraduate Information
- Syllabus Information
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Course Information

A Typical Course Module
Syllabi

A Typical Course Module

The courses, (or modules), that make up your degree programme will vary from the very theoretical to the very practical, but a ‘typical’ course might include 30 hours of lectures and ten hours of practical classes. You will need to do a lot of work in your own time, however you will be able to do much of your practical work when it suits you best.

You will complete coursework for the majority of your modules and will take your exams at the end of each year. All of your grades will count towards your degree, with the project having the highest weighting of all of your modules.

Syllabi

The MSc Web Science Programme consists of 8 taught modules and a Dissertation. Of the taught modules, 5 are core modules and 3 are elective modules.

5 core modules include the following:

Core Modules	Module Code	Credit Value	Term
Information Retrieval & Data Mining	COMPGI15	15	2
Distributed Systems & Security	COMPGZ03	15	1
Multimedia Systems	COMPGZ05	15	2
Complex Networks & Web	COMPGW01	15	1
Web Economics	COMPGW02	15	2

3 elective modules must be chosen from the following options:

Elective Modules	Module Code	Credit Value	Term
Supervised Learning	COMPGI01	15	1
Computer Graphics	COMPGV10	15	1
Machine Vision	COMPGI14	15	1
Interaction Design	COMPGC25	15	2
Applied Machine Learning	COMPGI09	15	2
Entrepreneurship: Theory & Practice	COMPGC18	15	2
User-Centred Evaluation Methods	PSYCGI11	15	1

*Please note: Not all combinations of your 3 electives can be taken together due to unavoidable timetabling constraints. Please ensure that your 3 chosen modules do not clash.

Online timetable showing Term 1 & Term 2 modules.

Whilst every effort is made to keep the syllabus and assessment records correct for each module listed above, the precise details should be checked with the lecturer(s) for that module.

Department of Computer Science, UCL (University College London)
Malet Place, London WC1E 6BT, UK
Phone: 020 7679 7214 (+44 20 7679 7214)
Fax: 020 7387 1397 (+44 20 7387 1397)