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MSc Network Science


Course Description

What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

Visit the MSc Network Science page on the Queen Mary University of London website for more details!

Videos
Student Profiles
(Scholarship)

Network Sciences Academic Excellence Award - 5 Awards

The School of Mathematical Sciences at Queen Mary University of London is pleased to offer up to 5 awards of £5,000 each for Home/EU students studying our MSc Network Science.

Value of Scholarship(s)

£5,000

Eligibility

The majority of our scholarships are competitive and as such students will need to have achieved grades equivalent to a UK First Class or Upper Second Class Bachelor’s degree or an overseas equivalent to be considered. For Home/EU students studying our MSc Network Science only.

Application Procedure

There is no need to complete a separate application form to be considered for any of the Mathematical Sciences Scholarships. Students will be considered for an award on the basis of the information they provide in their online application to Queen Mary University of London.Successful candidates will be informed of their award via email.

Further Information

http://www.maths.qmul.ac.uk/prospective-students/msc-mathematical-finance/fees-funding


(Scholarship)

International Science and Engineering Excellence Awards - No. of awards TBC

In recognition of the important investment that overseas postgraduate students are making in their education, Queen Mary is pleased to offer International Science and Engineering Excellence Awards for 2017 entry. These awards are for the value of £5,000 and are designed to reward academic achievement and help attract the brightest and best postgraduate students from overseas.International Science and Engineering Excellence Awards will be deducted directly from tuition fees payable to the College. They apply to School of Mathematical Sciences (MSc Network Science only).The scholarship is worth £5,000. To be eligible to receive the scholarship students must have achieved a UK First Class Bachelor’s degree or an overseas equivalent. If you are awarded the £5,000 scholarship it will be deducted directly from tuition fees payable to the College. You must be able to finance the remainder of your tuition fees and living expenses.Students who take an industrial placement year as part of a two year MSc will not receive a scholarship during this year in industry.

Value of Scholarship(s)

£5,000

Eligibility

- You must have achieved a UK First Class Bachelor’s degree or an overseas equivalent.
- You must be eligible to pay overseas tuition fees.
- This scheme is available only to students who apply for and enrol in an eligible course in the Faculty of Science and Engineering in the 2017/18 academic year.
- You must not be in receipt of any other College scholarship or full-fee scholarship from any other source, eg Chevening.

Application Procedure

There is no need to complete a separate application form to be considered for an International Science and Engineering Excellence Award. Students will be considered for an award on the basis of the information they provide in their online application to Queen Mary.Successful candidates will be informed of their award via email notification directing them to the MySiS applicant portal by the Admissions Office.

Further Information

http://www.qmul.ac.uk/postgraduate/taught/funding_masters/scholarships/87096.html



Entry Requirements

While being an interdisciplinary topic, Network Science requires some necessary mathematical background. We therefore welcome applications from highly motivated top students around the world with keen and genuine interest in interdisciplinary science that have received some mathematical training in their undergraduate studies. The normal entry requirement for the MSc Network Science is the equivalent of a British first or good second class honours degree in a subject with a substantial mathematical component: for example, mathematics, statistics, physics, computer science, engineering, or economics. Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent.

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Recipient: Queen Mary University of London

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