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Engineering×

Queen Mary University of London, Full Time MSc Degrees in Engineering

We have 24 Queen Mary University of London, Full Time MSc Degrees in Engineering

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Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Read more
Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Specialists in this area are trained to face scientific and technological challenges that significantly differ from those related to more traditional branches of engineering. Nevertheless, at the same time Biomedical Engineering makes use of more traditional engineering methodologies and techniques, which are adapted and further developed to meet specifications of biomedical applications.

This MSc programme covers the following topics:

• Fundamentals of human physiology;
• Ethics and regulatory affairs in the biomedical field;
• Advanced aspects of tissue engineering, regenerative medicine and biomaterials;
• Advanced techniques to synthesize and/or characterise materials for biomedical engineering;
• Mechanics of tissues, cells and sub-cellular components;
• Biocompatibility of implantable materials and devices;
• Materials and techniques for nanotechnology and nanomedicine.

Applications are welcome from students with a background in physical sciences (Chemistry, Physics, Mathematics and Materials Science) or Engineering.The programme has strong roots within the well-recognised expertise of the academics that deliver the lectures, who have international standing in cutting-edge research on Biomaterials and Tissue Engineering.

This fact ensures that the programme is delivered with the highest standards in the field. The students also benefit from access to state-of-the-art facilities and instrumentation in the areas of Biomaterials and Tissue Engineering, while undertaking research projects in brand-new large laboratories that are the result of a recent multi-million investment from the College.

The programme is designed with a careful balance of diversified learning components, such that, on completion of their studies, the postgraduates acquire extensive knowledge and skills that make them able to undertake careers in a wide range of professional ambits within the biomedical field, including health care services, industry and scientific research

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Aerospace engineering has evolved and diversified since the early days of powered flight. Employers now require skills ranging from aerodynamics and flight control to space engineering simulation and design. Read more
Aerospace engineering has evolved and diversified since the early days of powered flight. Employers now require skills ranging from aerodynamics and flight control to space engineering simulation and design. This diversity means that engineers need to be able to operate and develop advanced devices, and understand complex theoretical and computational models.

* This programme will give you advanced skills in computational modelling, numerical techniques and an in-depth understanding in engineering approaches to aerospace problems
* After your degree, you will be well prepared to develop new computational and technological products for the aerospace industries
* You will join research groups working at the cutting edge of aerospace engineering, and computational modelling
* This is a well established course with variety and choice for students - there are a wide number of engineering modules, but also the chance to specialise on your own area

Why study with us?

The School of Engineering and Materials Science (SEMS) undertakes high quality research in a wide range of areas. This research feeds into our teaching at all levels, helping us to develop very well qualified graduates with opportunities for employment both in many leading industries as well as in research. Both Engineering and Materials are very well established at Queen Mary, with the Aerospace Department being the first established in the UK. Our aerospace teaching programmes were ranked number 2 in the UK in the 2011 National Student Survey.

Studying Engineering has taught me to think, plan, organise and execute tasks in a systematic and methodical manner. Osman Bawa

* This MSc programme is available to students from a variety of non-engineering backgrounds such as Physics, Maths, and Electronic Engineering
* It was the first of its kind in the country; offering some unique modules including, Aeroelasticity, Crash worthiness, and Space engineering
* Students will collaborate with researchers working in alternative fuels sources, so it is relevant and timely
* Aerospace Engineering is an employment related field which allows you to keep up-to-date with the latest developments in design, aerodynamics, propulsion and technology.

Facilities

You will have access to a range of facilities, including:

* Excellent computing resources such as a high-performance computing cluster, several high-performance PC clusters and parallel high-performance SGI computer clusters, an extensive unit of Linux and UNIX workstations.
* A wide range of experimental facilities from low speed wind tunnels with one of the lowest ever recorded turbulence level of 0.01% to supersonic wind tunnels, anechoic chamber dedicated to aeroacoustics problems, two new state-of-the-art electrospray technology laboratories, experimental propulsion, an advanced CueSim flight simulator and labs equipped with modern measurements techniques.
* Engineering and Materials Sciences postgraduates will also have access to the School's extensive experimental facilities used for materials, the latest electron microscopes and a brand new Nanovision centre.

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Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Read more
Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Specialists in this area are trained to face scientific and technological challenges that significantly differ from those related to more traditional branches of engineering. Nevertheless, at the same time Biomedical Engineering makes use of more traditional engineering methodologies and techniques, which are adapted and further developed to meet specifications of biomedical applications.

This MSc programmes in Biomedical Engineering is a 1 calendar year conversion programme that is part of a suite of programmes offered in Biomedical Engineering at Queen Mary University of London. This MSc conversion programme is aimed at students who already have an in depth knowledge of an area of Science (e.g. Maths, Physics, Biology or Chemistry), and who wish to convert to a career in Biomedical Engineering

This MSc programme aims to prepare specialists with advanced knowledge and transferable skills in the field of Biomedical Engineering, covering the following topics:

Fundamentals of human physiology;
Ethics and regulatory affairs in the biomedical field;
Advanced aspects of tissue engineering, regenerative medicine and biomaterials;
Advanced techniques to synthesize and/or characterise materials for biomedical engineering;
Mechanics of tissues, cells and sub-cellular components;
Biocompatibility of implantable materials and devices;
Materials and techniques for nanotechnology and nanomedicine.
The programme has strong roots within the well-recognised expertise of the academics that deliver the lectures, who have international standing in cutting-edge research on Biomedical Engineering and Materials. This fact ensures that the programme is delivered with the highest standards in the field. The students also benefit from access to state-of-the-art facilities and instrumentation in the areas of Biomedical Engineering and Materials, while undertaking research projects in brand-new large laboratories that are the result of a recent multi-million investment from QMUL.

The programme is designed with a careful balance of diversified learning components, such that, on completion of their studies, the postgraduates acquire extensive knowledge and skills that make them able to undertake careers in a wide range of professional ambits within the biomedical field, including health care services, industry and scientific research.

* All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.

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Mechanical Engineering is the application of physical science to practical problem solving. Read more
Mechanical Engineering is the application of physical science to practical problem solving. As a Mechanical Engineer you could be working on anything from a simple component such as a switch, to more complex machines such an internal combustion engine or an entire system such as an automobile or a factory production line.

The MSc degree in Mechanical Engineering is a 1 calendar year conversion programme that is part of a suite of programmes offered in Mechanical Engineering at Queen Mary University of London. This programme is aimed at students who already have a science background (e.g. biology, mathematics, chemistry, physics), and who wish to convert to a career in Mechanical Engineering.

The Mechanical Engineering degree programmes at QMUL are delivered by a large number of specialist academic staff, who, in addition to their teaching, are involved in internationally recognised research in a wide range of topics, including:

Energy generation and conversion, including alternative and sustainable sources
Heat transfer and fluid mechanics
Computational engineering, both solids and fluids
Control engineering
Robotics
Materials science, including structural and functional materials
The programme structure is modular in format. During Semester A, students will take the compulsory module Engineering Methods, which exposes them to essential engineering techniques and philosophy. Depending on their background, they will further take 3 conversion modules from Vector Calculus, Energy Conversion Analysis, Computer Aided Engineering and Materials Selection. In Semester B students have the choice to specialise in one of the main areas of Solid Mechanics, Robotics and Automation, and Thermofluids and Combustion.

A 60 credit research project is to be undertaken using our research activities and our state of the art facilities. Several high performance computing clusters owned by the university support a full spectrum of computational research. Our well equipped laboratories include a wide range of IC engines, heat transfer facilities, wind tunnels, an anechoic chamber, a UK CueSim Flight Simulator and France-Price Induction Jet engine test bench, and materials synthesis and characterisation labs. Nanotechnology research is further supported by the facilities and expertise provided by Nanoforce, a company directly associated with the School.

* All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.

Read less
Biomedical engineering is a new and rapidly emerging field of engineering that relies on a multidisciplinary approach to research and development by applying the principles of science and engineering to biological and clinical problems. Read more
Biomedical engineering is a new and rapidly emerging field of engineering that relies on a multidisciplinary approach to research and development by applying the principles of science and engineering to biological and clinical problems. Problems in this area differ significantly from the more traditional branches of engineering. Nevertheless, the biomedical engineer relies on methodologies and techniques developed in more traditional engineering fields, which are further advanced and adapted to the particular complexities associated with biological systems. These applications vary from the design, development and operation of complex medical devices used in prevention, diagnosis and treatment, to the characterisation of tissue behaviour in health and disease, to the development of software products and theoretical models that enhance the understanding of complex biomedical issues.

This programme aims to prepare specialists with advanced skills sought by the biomedical industries and establishments, including experimental and numerical techniques, computational modelling and in-depth understanding of engineering approaches to biological problems. The acquired knowledge and skills would enable you to participate in the advancement of knowledge and technology in this field. Case studies originating in practical medical and industrial problems are provided throughout the programme involving a range of clinical disciplines including orthopaedics, cardiovascular medicine, urology, radiology and rehabilitation.

The MSc in Biomedical Engineering is organised by a team of medical engineers within the School of Engineering and Materials Science, which has an internationally leading reputation in research, working closely with collaborators in Europe, US and Asia, on exciting research and development projects in this field. World-renowned specialists from the nationally leading Barts and The London School of Medicine and Dentistry provide vital contributions to the programme.

Read less
Mechanical Engineering is the application of physical science to practical problem solving. Read more
Mechanical Engineering is the application of physical science to practical problem solving. As a Mechanical Engineer you could be working on anything from a simple component such as a switch, to more complex machines such an internal combustion engine or an entire system such as an automobile or a factory production line. The MSc degree in Advanced Mechanical Engineering is a 1 calendar year programme forming part of a suite of programmes offered in Mechanical Engineering at Queen Mary University of London. The MSc programmes are aimed at students who already an have an in depth knowledge of an area of Science and Engineering, and who wish to specialise further in the area of Mechanical Engineering. The programme has a choice of modules enabling you to select a Solid Mechanics, Robotics and Automation or Thermofluids and Combustion pathway thereby allowing you to follow your interests.

The Mechanical Engineering degree programmes at QMUL are delivered by a large number of specialist academic staff, who, in addition to their teaching, are involved in internationally recognised research in a wide range of topics, including:

- Energy generation and conversion, including alternative and sustainable sources
- Heat transfer and fluid mechanics
- Computational engineering, both solids and fluids
- Control engineering
- Robotics
- Materials science, including structural and functional materials

The content of the programme includes a compulsory Research Methods and Experimental Techniques module in the first semester. Besides this module, you will take modules that will align with your background, your choice of specialisation area and your project topic.

A 60 credit research project will be undertaken supervised by staff working in a wide range of research areas and students will have access to our state of the art facilities. Several high performance computing clusters owned by the university support a full spectrum of computational research. Our well equipped laboratories include a wide range of IC engines, heat transfer facilities, wind tunnels, an anechoic chamber, a UK CueSim Flight Simulator and France-Price Induction Jet engine test bench, and materials synthesis and characterisation labs. Nanotechnology research is further supported by the facilities and expertise provided by Nanoforce, a company directly associated with the School.

Read less
Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Read more
Biomedical Engineering is a field of engineering that relies on highly inter- and multi-disciplinary approaches to research and development, in order to address biological and medical problems. Specialists in this area are trained to face scientific and technological challenges that significantly differ from those related to more traditional branches of engineering. Nevertheless, at the same time Biomedical Engineering makes use of more traditional engineering methodologies and techniques, which are adapted and further developed to meet specifications of biomedical applications.

This MSc programme covers the following topics:
• Fundamentals of human physiology;
• Ethics and regulatory affairs in the biomedical field;
• Medical imaging modalities and digital signal processing, their uses and challenges;
• Analysis and design of instrumentation electronics present in a wide range of medical devices;
• Instrumentation and technologies used for clinical measurements;
• Design, analysis and evaluation of critical systems in the context of clinical monitoring, including safety;
• Origin of biological electricity, measurement of bioelectric signals, principles of bioelectric stimulation, and their applications. Applications are welcome from students with a background in Engineering or Physics.

The programme is a joint effort of the School of Engineering and Materials Science and the School of Electronic Engineering and Computer Science. It has strong roots within the well-recognised expertise of academics from the two Schools that deliver the lectures, who have international standing in cutting-edge research on Imaging and Instrumentation. This fact ensures that the programme is delivered with the highest standards in the field. The students also benefit from access to state-of-the-art facilities and instrumentation while undertaking their research projects.The programme is designed with a careful balance of diversified learning components, such that, on completion of their studies, the postgraduates acquire extensive knowledge and skills that make them able to undertake careers in a wide range of professional ambits within the biomedical field, including health care services, industry and scientific research.

Read less
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. Read more
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. These strengths include world-leading research in: networks, antenna design and electromagnetics, computer vision and computer theory. This conversion masters programme features a common first semester of: analogue electronics, digital systems design (incorporating an on-line pre-sessional module in digital circuit design), control systems, embedded systems (incorporating C programming). In the second semester the electronic engineering stream features choices from: advanced control systems, critical systems, integrated circuit design, real-time DSP, while the electrical engineering stream features choices from: bioelectricity, microwave and millimeterwave communication systems, power electronics, and electrical power engineering. Both streams have a Project / industrial project during the 3rd (summer) semester.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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This programme aims to prepare students with science backgrounds to develop unique expertise in the fundamentals of energy and the environment, their applications for the benefit of humankind, and the ability to stay abreast of the field of sustainable energy engineering. Read more
This programme aims to prepare students with science backgrounds to develop unique expertise in the fundamentals of energy and the environment, their applications for the benefit of humankind, and the ability to stay abreast of the field of sustainable energy engineering.

The programme structure is designed to appeal to students with sciences or mathematics backgrounds, and is modular in format. The content of the programme includes a compulsory Engineering Methods module in the first semester, which aims to introduce and develop engineering techniques for students with varied backgrounds. Other than these modules students will be taking specialist energy engineering modules that are being developed for the MSc. This will bolster our current offering, but will also allow these students to become specialists in their field.

A 60 credit research project is to be undertaken using our research activities and our state of the art facilities. Several high performance computing clusters owned by the university support a full spectrum of computational research. Our well equipped laboratories include a wide range of IC engines, heat transfer facilities, wind tunnels, an anechoic chamber, a UK CueSim Flight Simulator and France-Price Induction Jet engine test bench, and energy materials synthesis and characterisation labs. support Systems, Aerodynamics and Propulsion research. Nanotechnology research is further supported by the facilities and expertise provided by Nanoforce, a company directly associated with the School.

* All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.

Read less
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. Read more
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. These strengths include world-leading research in: networks, antenna design and electromagnetics, computer vision and computer theory. This conversion masters programme features a common first semester of: analogue electronics, digital systems design (incorporating an on-line pre-sessional module in digital circuit design), control systems, embedded systems (incorporating C programming). In the second semester the electronic engineering stream features choices from: advanced control systems, critical systems, integrated circuit design, real-time DSP, while the electrical engineering stream features choices from: bioelectricity, microwave and millimeterwave communication systems, power electronics, and electrical power engineering. Both streams have a Project / industrial project during the 3rd (summer) semester.

* All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.

Read less
An MSc by Research will provide you with the necessary skills to undertake research, either in an academic or industrial environment. Read more
An MSc by Research will provide you with the necessary skills to undertake research, either in an academic or industrial environment. The expectation is that every graduate from the degree publishes at least one conference paper as part of the research. You will have the opportunity to develop further research and technical skills and to be able to demonstrate a level of independence that is greater than developed on a purely taught programme. The programme is suitable for outstanding students who have an interest in advanced research-based study in one of our research specialisms: Antenna and Electromagnetics; Centre for Digital Music (C4DM); Multimedia and Vision (MMV); Networks.

Programme Structure:
Core Modules- MSc by Research Project

Plus additional 4 modules from those available by the School of Electronic Engineering and Computer Science.

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Regenerative Medicine. MSc ( 1 year Full-time ). Overview. Regenerative medicine is an interdisciplinary field, which aims to repair diseased or damaged tissues using biological or cell-based technologies. Read more
Regenerative Medicine
MSc ( 1 year Full-time )

Overview

Regenerative medicine is an interdisciplinary field, which aims to repair diseased or damaged tissues using biological or cell-based technologies. It is a rapidly growing area of biomedical research that encompasses stem cell biology, tissue engineering, drug delivery, and nanotechnology. This MSc course provides advanced, multi-disciplinary training in the scientific principles and clinical applications of regenerative medicine, and is delivered jointly by Barts and The London School of Medicine and Dentistry and the School of Engineering and Materials Science.

Taught modules will develop a strong scientific foundation in the biology of stem cells and regeneration and the fundamental principles of biomaterials, tissue engineering and cellular reprogramming. Through an intensive 12-week research project, students will then gain hands on experience applying these concepts to problems in human health and the development of novel regenerative technologies.

Upon completion of the MSc in Regenerative Medicine, students will be well placed for further training at the PhD level or professional careers in the biotechnology and pharmaceutical industries.

Structure
The MSc in Regenerative Medicine is a one year, full-time programme. Students are required to complete 180 credits comprising taught and research modules.


Taught Modules (15 credits each)

o Cellular and Molecular Basis of Regeneration
o Stem Cell and Developmental Biology
o Advanced Tissue Engineering and Regenerative Medicine
o Research Skills and Methodology
o Biomaterials in Regenerative Medicine
o Tissue-specific Stem Cells
o Induced Pluripotent Stem Cells and Genome Engineering
o Ethics and Regulatory Affairs

Research Project in Regenerative Medicine (60 credits)
During the final 12 weeks of the course, students will work full time on their laboratory-based research projects. Students will select research projects from a wide range of topics in regenerative medicine. Examples include research on the cellular and molecular aspects of tissue regeneration, disease pathogenesis, development of stem cell therapies, design of novel nano-biotechnologies, or engineering biomaterials and tissue scaffolds.


Entry requirements
As a multi-disciplinary course, the MSc is appropriate for a wide range of students. Graduates with degrees in biological sciences or medicine will gain an in-depth understanding of the cellular and molecular aspects of regenerative medicine as well as an introduction to the interdisciplinary fields of biomaterials and tissue engineering. Similarly, students with a physical sciences background will have the opportunity to broaden their experiences and acquire new skills in the biological sciences.
Admission to the course is selective, and based upon academic credentials, research experience, and motivation. At a minimum, students must have an undergraduate degree equivalent to UK second-class honours from a recognised academic institution. Applicants are required to submit a statement of purpose and letter of recommendation with their application.
Applications are accepted all year round, but there are limited places to ensure high-quality training, so please apply early to avoid disappointment.

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What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is 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 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), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), 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 with a mathematical background 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.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

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This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. Read more
This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it.

A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio-Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.
-Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. -Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. -Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. Read more
A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. This is now a reality: parts of buildings can now interact with each other, smart vehicles can be autonomously controlled and humans can interact with all these using smart phones and wearables.
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer.

The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More ‘things’ are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of ‘things’ (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.

The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can:

-engineer new interactive products – things;
-acquire, fuse and process the data they collect from things;
-interact with, and interconnect these things as part of larger, more diverse, systems.
-The School of Electronic Engineering and Computer Science draws on its strengths of highly rated R&D centres of excellence in core subject areas comprising Networks, Cognitive Science, Antennas together with interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).

The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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