Queen Mary, University of London

Course Introduction

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.

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.

Course Additional Entry

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.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £16,450  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £8,200  Academic year. First year home fees
2 years
Part Time
MSc (Postgraduate) £8,250  Academic year. First year overseas fees
2 years
Part Time
MSc (Postgraduate) £4,100  Academic year. First year home fees