School of Mathematical Sciences

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Links to Industry


We have permanent contact and collaborations with a number of companies in several sectors, including Neo Technology, Microsoft, Samsung, Telefonica, etc. We are in the process of setting up a bursary of internships in a selected set of companies for our best students. 


Neo Technology London internship
We have agreed the possibility of developing internships at Neo Technology London. Each application will be studied and assessed in an individual basis.

Samsung London internship
We have agreed the possibility of developing internships at Samsung London. Each application will be studied and assessed in an individual basis.

CNRS Paris internship 
We have agreed the possibility of developing internships in Paris (France), within the CNRS's Institut du Cerveau et de la Moelle Épinière, Hôpital de la Pitié-Salpetrière. Each application will be studied and assessed in an individual basis.



One of our sponsors, Neo Technology , a worldwide technological company that provides sotware products for network databases, will award two yearly Neo4j Networks Prizes for the most outstanding student and best MSc thesis.

The winners of the prize in 2015 were Ms. Helena Andrés Terre (best student) and Mr. Bradley Hunn (best dissertation thesis). Helena is now a PhD student at the University of Cambridge. Bradley works in the IT industry as a contractor.
The prizes were awarded by Dr. Ginestra Bianconi, director of the MSc programme, and Dr. Jim Webber, chief scientist at Neo Technology, during a  ceremony hosted at Queen Mary University of London in November 2015.

As a complement to our academic programme, a number of special lectures will be delivered by our industrial stakeholders. These lectures will provide students additional information and exposition to current hot topics in several sectors outside academia, and will give our students the possibility to learn from first hand what kind of problems are currently addressed and solved in industry using networks. These lectures will also constitute a forum that will enable direct communication between students and industry, regarding prospective internships or employment.

2014-2015 Special lectures
As a complement to the training that our MSc students receive, in 2014-2015 we are holding periodic special lectures where we invite our industrial collaborators to come and discuss how is it to work in Network Science in their companies and what kind of internship possibilities they offer for our students. We also hold periodic meetups between with our PhD students cohort, where in a semi informal environment they can discuss about Network Science and other related matters.

  1. The first special lecture was delivered on 13/11/2014 by Mario Chavez from the Brain and Spine Institute at CNRS Paris (France), where he described the kind of research and the possible internships that were available, within the special agreement between MSc Network Science QMUL and their research group at Pitié-Salpêtrière hospital in Paris, France.

  2. The second special lecture will be delivered by Moreno Bonaventura and Valerio Ciotti, PhD candidates in Network Science at QMUL, in mid December 2014. Moreno and Valerio will be delivering a masterclass on several computational tools which are very relevant in network and data analysis: Python, Networkx and Gephi.
    The lecture will be interactive and there will be room for discussions.
    This special lecture belongs to the set of graduate special events, where our large cohort of Msc and Phd students can discuss in a semi informal way about opportunities in Network Science. 
    This event will have a follow up lecture, run by Moreno and Valerio, in the second semester (Spring 2015).

  3. The third special lecture will be delivered by Neo Technology chief scientist Jim Webber, and this is planned to take place in 13th January 2015, at 2pm.
    The abstract of this lecture is the following:
    "In this lecture, Neo4j's Chief Scientist Dr. Jim Webber will introduce the notion of graph databases for storing and querying connected data structures. We will also look under the covers at Neo4j's design, and consider how the requirements for correctness and performance of connected data drive the architecture. Moving up the stack, we will explore Neo4j's Cypher query language and show how it can be used to tackle complex scenarios like recommendations in minutes (with live programming, naturally!). Finally we will discuss what it means to be a very large graph database and review the dependability requirements to make such a system viable."


As part of our collaboration with Neo Technology, we strongly encourage our students to attend and participate in the monthly organised meetup workshops, where you will have the possibility to get in touch with professionals working in Network Science and expand your skills and networks.