Queen Mary University of London

Queen Mary University of London

Network Science

This course provides a grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies.

Entry requirements

Applicants require a 1st or good 2nd Class Honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, computer science, engineering, or economics. If the applicant's language is not English, they must provide evidence of their English language proficiency. Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent.

Course modules

Modules include: Complex systems; computational statistics; digital media and social networks; graphs and networks; machine learning; processes on networks; research methods in mathematical sciences; topics in probability and stochastic processes.

Assessment methods

Assessment is by a mixture of in-term assessment and final examinations. Examinations are held between late April and early June. Dissertations are evaluated in September.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time GBP 8,200 per Year 1 (Scotland) 1 years
MSc Full-time GBP 8,200 per Year 1 (Wales) 1 years
MSc Full-time GBP 8,200 per Year 1 (EU) 1 years
MSc Full-time GBP 8,200 per Year 1 (England) 1 years
MSc Full-time GBP 16,450 per Year 1 (International) 1 years
MSc Full-time GBP 8,200 per Year 1 (Northern Ireland) 1 years
MSc Part-time GBP 4,100 per Year 1 (EU) 2 years
MSc Part-time GBP 4,100 per Year 1 (England) 2 years
MSc Part-time GBP 8,250 per Year 1 (International) 2 years
MSc Part-time GBP 4,100 per Year 1 (Northern Ireland) 2 years
MSc Part-time GBP 4,100 per Year 1 (Scotland) 2 years
MSc Part-time GBP 4,100 per Year 1 (Wales) 2 years

Campus details

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Key information

Contact: 
PGT Programmes Officer
Telephone number: 
020 7882 5468