• Cardiff University Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
Leeds Beckett University Featured Masters Courses
Staffordshire University Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
Imperial College London Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
"systems" AND "theory"×
0 miles

Masters Degrees (Systems Theory)

We have 1,236 Masters Degrees (Systems Theory)

  • "systems" AND "theory" ×
  • clear all
Showing 1 to 15 of 1,236
Order by 
The MRES in Global Health Systems Theory and Policy is a pre-doctoral training programme designed to provide a critical, research led approach to the study of Global Heath systems, together with training in the key research skills appropriate for Doctoral level study. Read more
The MRES in Global Health Systems Theory and Policy is a pre-doctoral training programme designed to provide a critical, research led approach to the study of Global Heath systems, together with training in the key research skills appropriate for Doctoral level study. Alongside a suite of substantive modules offered in conjunction with the School's Global Health MScs, the programme includes core modules in research design, qualitative and quantitative methods taken jointly with social science students from a range of disciplines across QMUL, Kings College London and Imperial College as part of the training offered by the ESRC funded London Interdisciplinary Social Science Doctoral Training Partnership.

Students who successfully complete the programme will be able to move on to a PhD and eventually work in health policy and other fields of public health and public policy with a global perspective and equipped to enhance capacity and work effectively in multi-disciplinary teams on behalf of local populations.

Why study the MRES in Global Health Systems Theory and Policy at Queen Mary?
There are a number of distinct features about the course which include: an emphasis on the social determinants of health; a focus on the interface between politics and policy; a concern for social justice; and a stress upon primary care acting as a platform for effective public health action.

The course offers an opportunity to develop a pronounced multi-disciplinary analysis that includes sociology, anthropology, economics, law, geography as well as public health medicine. You will therefore learn from a truly multidisciplinary programme, which will give you a genuinely broad education and wide perspective.

Furthermore, the Barts and London School of Medicine and Dentistry is comprised of two renowned and prestigious teaching hospitals: St Bartholomew’s and The Royal London. Both continue to make an outstanding contribution to modern medicine and together have been consistently ranked among the top five in the UK for medicine.

The Global Health Unit combines the local and the global in a stimulating and challenging research and teaching environment – we have strong links to the NHS, local authorities, third-sector organisations, policymakers in the UK and elsewhere, and leading international figures in global health.

We integrate different types of teaching delivery including small group seminars and participation in public health conferences. We have collaborations with other universities and organisations from around the world to aid research, teaching, policy development, and community engagement, and we encourage students to get involved in both our local and international work.

Read less
The Master’s programme focuses on designing and using complex modern computer systems. As part of the programme, students cover such subjects as innovation and entrepreneurship, hardware systems design and modelling, computer architecture and programming, software project management and databases, to name but a few. Read more

The Master’s programme focuses on designing and using complex modern computer systems. As part of the programme, students cover such subjects as innovation and entrepreneurship, hardware systems design and modelling, computer architecture and programming, software project management and databases, to name but a few.

Students can choose between the following two specialisations:

  • Computer Systems Design – focusing on the modelling, analysing, designing and testing of complex systems consisting of both hardware and software components;
  • Automation and Systems Engineering – focusing on the modelling, analysing and designing of automation and computer control systems.

The Department of Computer Engineering received the IBM Faculty Award 2011 and has an excellent partnership with experts from the IBM Development Centre in Germany and the IBM research laboratory in Israel.

Key features

  • Individual approach to students
  • Students work closely with professors
  • Uses the latest software and hardware to develop practical skills
  • Close cooperation and networking with the IT industry
  • Develops the computing and IT management skills needed to be effective in the industry and in commerce straight away

Course outline

The Computer and Systems Engineering Master's programme focuses on the education of designing and using modern complex computer systems. Nowadays computer systems are used more or less everywhere, they are extremely diverse and most of them are "invisible" to users. Such systems include not only traditional PC-s and sophisticated supercomputers, but also computer systems "embedded" into cars and mobile phones, for instance. Most of these computers are interconnected via various wired and wireless networks and do not work in isolation. These embedded systems can be either stand-alone items or an integral part of a larger system and represent the combination of software and hardware designed to perform specific functions.

When studying the Computer and Engineering Systems programme, students are exposed to systems design and modelling, computer architectures and programming, to name few of the topics. Exposure to those topics will position students well for jobs at small, medium and large companies. Their jobs will involve defining, designing and using embedded computer system in areas such as automotive electronics, consumer devices, telecommunications, etc.

The Computer and Systems Engineering programme is supervised by two departments of TUT - Department of Computer Engineering (DCE) and Department of Computer Control (DCC). Students can choose between two of the following specialisations:

  • Computer Systems Design (supervised by DCE) focuses on the modelling, analysing, designing and testing of complex systems consisting of both hardware and software components;
  • Automation and Systems Engineering (supervised by DCC) focuses on the modelling, analysing and designing of automation and computer control systems.

Faculty

Faculty of Information Technology (founded in 1965) trains specialists in the main fields of information and communications technology (ICT) at bachelor, master and doctoral level. High-quality knowledge based teaching and training is based on international research and development activities, and tight cooperation with ICT industry.

There are more than 2100 students annually learning in the faculty, which employs 150 faculty members, lecturers, researchers and engineers.

Curriculum

Structure of curriculum

Future career options

Graduates find employment as specialists in the design, realisation, application and administration of computerised equipment and systems. Career opportunities are varied: computer and software companies; banks; diagnostic systems in manufacturing, service, medicine; "smart" houses and manufacturing systems; industrial automation; management control and monitoring systems in air, water and ground based transport, etc. Master’s degree holders interested in high-level research work and university staff positions have the opportunity to continue their studies in the PhD programme.

Career opportunities and potential jobs: designer of computer and automated control systems and the components thereof, project manager, software developer, department manager, management board member, and management board chairman.



Read less
The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. Read more

The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. This interdisciplinary Master's programme presents environmental issues and technologies within a systems engineering context. Graduates will understand interactions between the natural environment, people, processes and technologies to develop sustainable solutions.

About this degree

Students will develop an understanding of systems engineering and environmental engineering. Environmental engineering is a multidisciplinary branch of engineering concerned with devising, implementing and managing solutions to protect and restore the environment within an overall framework of sustainable development. Systems engineering is the branch of engineering concerned with the development and management of large complex systems.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), a collaborative environmental systems project (30 credits), two optional modules (30 credits) and an individual environmental systems dissertation (60 credits).

A Postgraduate Diploma (120 credits) is offered.

Core modules

  • Collaborative Environmental Systems Project
  • Environmental Systems
  • Systems Engineering and Management
  • Systems Society and Sustainability
  • Environmental Modelling

Optional modules

Options may include the following:

  • Engineering and International Development
  • Industrial Symbiosis
  • Politics of Climate Change
  • Project Management
  • Water and Wastewater Treatment
  • Urban Flooding and Drainage
  • Offshore and Coastal Engineering
  • Natural and Environmental Disasters
  • Energy Systems Modelling
  • Smart Energy Systems: Theory, Practice and Implementation
  • Indoor Air Quality in Buildings
  • Light, Lighting and Wellbeing in Buildings
  • Building Acoustics
  • Science, Technology and Engineering Advice in Practice
  • Energy Systems and Sustainability
  • Waste and Resource Efficiency

Dissertation/report

All MSc students undertake an independent research project addressing a problem of systems research, design or analysis, which culminates in a dissertation of 10,000 words.

Teaching and learning

The programme is delivered through lectures, seminars, tutorials, laboratory classes and projects. The individual and group projects in the synthesis element involve interaction with industrial partners, giving students real-life experience and contacts for the future. Assessment is through written examination, coursework, presentations, and group and individual projects.

Further information on modules and degree structure is available on the department website: Environmental Systems Engineering MSc

Careers

Career paths for environmental systems engineers are diverse, expanding and challenging, with the pressures of increasing population, desire for improved standards of living and the need to protect the environmental systems. There are local UK and international opportunities in all areas of industry: in government planning and regulation, with regional and municipal authorities, consultants and contracting engineers, research and development organisations, and in education and technology transfer. Example of recent career destinations include Ford, KPMG, EDF Energy, Brookfield Multiplex, and the Thames Tideway Tunnel Project.

Recent career destinations for this degree

  • Air Quality Engineer, National Environment Agency
  • Environmental Engineering Consultant, DOGO
  • Nuclear Analyst, EDF Energy
  • Graduate Flood Risk Engineer, Pell Frischmann
  • Project Manager, Veolia Environmental Services

Employability

The discipline of environmental systems engineering is growing rapidly with international demand for multi-skilled, solutions-focussed professionals who can take an integrated approach to complex problems.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The discipline of environmental systems engineering is growing rapidly with an international demand for multi-skilled professionals who can take an integrated approach to solving complex environmental problems (e.g. urban water systems, technologies to minimise industrial pollution). Environmental engineers work closely with a range of other environmental professionals, and the community.

Skills may be used to:

  • design, construct and operate urban water systems
  • develop and implement cleaner production technologies to minimise industrial pollution
  • recycle waste materials into new products and generate energy
  • evaluate and minimise the environmental impact of engineering projects
  • develop and implement sound environmental management strategies and procedures.

UCL Civil, Environmental & Geomatic Engineering is an energetic and exciting environment in which to explore environmental systems engineering. Students have the advantages of studying in a multi-faculty institution with a long tradition of excellence in teaching and research, situated at the heart of one of the world's greatest cities.

Accreditation

The progamme is accredited by the Joint Boad of Moderators, which is made up of the Institution of Civil Engineers, The Institution of Structural Engineers, the Chartered Institutions of Highways and Transportation, and the Institute of Highway Engineers.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Civil, Environmental & Geomatic Engineering

60% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



Read less
All those involved in the wider defence enterprise, across government, military, industry, science and technology have changing needs and aspirations for defence. Read more

Course Description

All those involved in the wider defence enterprise, across government, military, industry, science and technology have changing needs and aspirations for defence. Agility, resilience, continuity of supply, skills and innovation now complement the continuing need to balance cost, time and performance in everything we do.

The Centre for Systems Engineering has been at the forefront of developing systems engineering education for the past fifteen years, blending the breadth of systems thinking with the rigour of systems engineering and closely integrating this within acquisition management.

You will develop knowledge and skills in understanding the wider context of defence capability and guiding the development of operational, support and enabling business solutions which both deliver cost effective outcomes and contribute to the attributes of defence as a whole.

Course overview

The course is modular and you will accumulate credits for each module you successfully complete:

- Full modules are each worth 10 credits.
- The Advanced Systems Engineering Workshop is worth 20 credits.

The course structure has been devised to give the maximum amount of flexibility for you to create your own learning pathway whilst ensuring that the fundamental principles of systems engineering are compulsory.

- The PgCert comprises 60 credits of which 40 are for compulsory modules and 20 are for elective modules.
- The PgDip comprises 120 credits of which 70 are for compulsory modules and 50 are for elective modules.
- The MSc comprises 200 credits of which 70 are for compulsory modules, 50 credits are for elective modules and 80 are for the thesis associated with the Individual Project.

Full-time MSc - one year, Part-time MSc - up to three years, Full-time PgCert - one year, Part-time PgCert - two years, Full-time PgDip - one year, Part-time PgDip - two years

(For MOD status students the duration may vary, subject to annual review.)

Individual Project

The Individual Project provides you with an opportunity to undertake an in-depth study of an area of particular interest to you or your sponsor which is written up as a thesis or dissertation. The study might include, for example:

- Application of Systems Engineering tools and techniques to a real world problem.
- Analysis of underpinning Systems Engineering theory and practice.
- Development of new or tailored Systems Engineering processes.

Modules

The Compulsory and Elective Modules below are as for the MSc and PgDip. For PgCert students Capability Context and Advanced Systems Engineering Workshop are Elective.

Core -

Advanced Systems Engineering Workshop (ASEW)
Applied Systems Thinking
Capability Context
Lifecycle Processes Introduction
Lifecycle Processes Advanced
Systems Approach to Engineering

Elective -

Availability, Reliability, Maintainability and Support Strategy (ARMSS)
Decision Analysis, Modelling and Support (DAMS)
Human Centric Systems Engineering (HCSE)
Introduction to Defence Capability
Model Based Systems Engineering
Simulation and Synthetic Environments
System of Systems Engineering
Thesis Selection Workshop
- Systems Engineering and Software
- Systems Engineering Workshop
- Networked and Distributed Simulation Exercise

Assessment

Coursework, written examinations, oral examinations, portfolio and, for the MSc only, an individual thesis.

Funding

Funding is available to MoD students. For more information contact MoD Enquiries by calling 01793 314485 (Option 4) or Mil: 96161 4485.

For more information on funding for non-MoD students please contact

Career opportunities

Takes you on to impressive career prospects across a range of roles commensurate with your experience. This includes membership of multidisciplinary teams in acquisition, supply or research organisations. This could be in both general systems engineering roles or as a focal point for specific skills such as availability, reliability and maintenance (ARM), human factors, requirements, architecture test and evaluation, etc. It is also applicable to key roles in MoD acquisition such as Project Team leader, capability manager and requirements manager.

Further Information

For further information on this course, please visit our course webpage - http://www.cranfield.ac.uk/Courses/Masters/Systems-Engineering-for-Defence-Capability

Read less
This highly focused MSc explores some of the mathematics behind modern secure information and communications systems, specialising in mathematics relevant for public key cryptography, coding theory and information theory. Read more
This highly focused MSc explores some of the mathematics behind modern secure information and communications systems, specialising in mathematics relevant for public key cryptography, coding theory and information theory. During the course critical awareness of problems in information transmission, data compression and cryptography is raised, and the mathematical techniques which are commonly used to solve these problems are explored.

The Mathematics Department at Royal Holloway is well known for its expertise in information security and cryptography and our academic staff include several leading researchers in these areas. Students on the programme have the opportunity to carry out their dissertation projects in cutting-edge research areas and to be supervised by experts.

The transferable skills gained during the MSc will open up a range of career options as well as provide a solid foundation for advanced research at PhD level.

See the website https://www.royalholloway.ac.uk/mathematics/coursefinder/mscmathematicsofcryptographyandcommunications(msc).aspx

Why choose this course?

- You will be provided with a solid mathematical foundation and a knowledge and understanding of the subjects of cryptography and communications preparing you for research or professional employment in this area.

- The mathematical foundations needed for applications in communication theory and cryptography are covered including Algebra, Combinatorics Complexity Theory/Algorithms and Number Theory.

- You will have the opportunity to carry out your dissertation project in a cutting-edge research area; our dissertation supervisors are experts in their fields who publish regularly in internationally competitive journals and there are several joint projects with industrial partners and Royal Holloway staff.

- After completing the course former students have a good foundation for the next step of their career both inside and outside academia.

Department research and industry highlights

The members of the Mathematics Department cover a range of research areas. There are particularly strong groups in information security, number theory, quantum theory, group theory and combinatorics. The Information Security Group has particularly strong links to industry.

Course content and structure

You will study eight courses as well as complete a main project under the supervision of a member of staff.

Core courses:
Advanced Cipher Systems
Mathematical and security properties of both symmetric key cipher systems and public key cryptography are discussed as well as methods for obtaining confidentiality and authentication.

Channels
In this unit, you will investigate the problems of data compression and information transmission in both noiseless and noisy environments.

Theory of Error-Correcting Codes
The aim of this unit is to provide you with an introduction to the theory of error-correcting codes employing the methods of elementary enumeration, linear algebra and finite fields.

Public Key Cryptography
This course introduces some of the mathematical ideas essential for an understanding of public key cryptography, such as discrete logarithms, lattices and elliptic curves. Several important public key cryptosystems are studied, such as RSA, Rabin, ElGamal Encryption, Schnorr signatures; and modern notions of security and attack models for public key cryptosystems are discussed.

Main project
The main project (dissertation) accounts for 25% of the assessment of the course and you will conduct this under the supervision of a member of academic staff.

Additional courses:
Applications of Field Theory
You will be introduced to some of the basic theory of field extensions, with special emphasis on applications in the context of finite fields.

Quantum Information Theory
‘Anybody who is not shocked by quantum theory has not understood it' (Niels Bohr). The aim of this unit is to provide you with a sufficient understanding of quantum theory in the spirit of the above quote. Many applications of the novel field of quantum information theory can be studied using undergraduate mathematics.

Network Algorithms
In this unit you will be introduced to the formal idea of an algorithm, when it is a good algorithm and techniques for constructing algorithms and checking that they work; explore connectivity and colourings of graphs, from an algorithmic perspective; and study how algebraic methods such as path algebras and cycle spaces may be used to solve network problems.

Advanced Financial Mathematics
In this unit you will investigate the validity of various linear and non-linear time series occurring in finance and extend the use of stochastic calculus to interest rate movements and credit rating;

Combinatorics
The aim of this unit is to introduce some standard techniques and concepts of combinatorics, including: methods of counting including the principle of inclusion and exclusion; generating functions; probabilistic methods; and permutations, Ramsey theory.

Computational Number Theory
You will be provided with an introduction to many major methods currently used for testing/proving primality and for the factorisation of composite integers. The course will develop the mathematical theory that underlies these methods, as well as describing the methods themselves.

Complexity Theory
Several classes of computational complexity are introduced. You will discuss how to recognise when different problems have different computational hardness, and be able to deduce cryptographic properties of related algorithms and protocols.

On completion of the course graduates will have:
- a suitable mathematical foundation for undertaking research or professional employment in cryptography and/or communications

- the appropriate background in information theory and coding theory enabling them to understand and be able to apply the theory of communication through noisy channels

- the appropriate background in algebra and number theory to develop an understanding of modern public key cryptosystems

- a critical awareness of problems in information transmission and data compression, and the mathematical techniques which are commonly used to solve these problems

- a critical awareness of problems in cryptography and the mathematical techniques which are commonly used to provide solutions to these problems

- a range of transferable skills including familiarity with a computer algebra package, experience with independent research and managing the writing of a dissertation.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The examinations in May/June count for 75% of the final average and the dissertation, which has to be submitted in September, counts for the remaining 25%.

Employability & career opportunities

Our students have gone on to successful careers in a variety of industries, such as information security, IT consultancy, banking and finance, higher education and telecommunication. In recent years our graduates have entered into roles including Principal Information Security Consultant at Abbey National PLC; Senior Manager at Enterprise Risk Services, Deloitte & Touche; Global IT Security Director at Reuters; and Information Security manager at London Underground.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
The evolution of wireless communication systems and networks in recent years has been accelerating at an extraordinary pace and become an essential part of modern lifestyle requirements. Read more

About the course

The evolution of wireless communication systems and networks in recent years has been accelerating at an extraordinary pace and become an essential part of modern lifestyle requirements.

The effects of this trend has seen a growing overlap between the network and communication industries, from component fabrication to system integration, and the development of integrated systems that transmit and process all types of data and information.

This distinctive course, developed with the support of industry, aims to develop a detailed technical knowledge of current practice in wireless systems and networks. You will study the fundamentals of wireless communication systems and the latest innovations in this field.

You will study the fundamentals of wireless communication systems and the latest industry innovations and needs. The MSc programme incorporates theory and practice and covers all aspects of a modern communication system ranging from RF components, digital signal processing, network technologies and wireless security and examines new wireless standards.

This course is accredited by the Institution of Engineering and Technology (IET).

Aims

The sharp increase in the use of smartphones, machine to machine communication systems (M2m), sensor netowrks, digital broadcasting networks and smart grid systems have brought tremendous technological growth in this field.

It has become a global phenomenon that presently outstrips the ability of commercial organisations to recruit personnel equipped with the necessary blend of technical and managerial skills who can initiate and manage the introduction of the new emerging technologies in networks and wireless systems.

By studying Wireless Communications Systems at Brunel, you will be equipped with the advanced technical and professional skills you need for a successful career either in industry or leading edge research in wireless communication systems.

Course Content

Typical Modules:

Advanced Digital Communications
Network Design and Management
DSP for Communications
Wireless Network Technologies
Communications Network Security
Research Methods
Radio and Optical Communication Systems
Project Management
Project & Dissertation

Teaching

The course blends lectures, workshops, seminars, self-study, and individual and group project work. You’ll develop communication and teamwork skills valued by industry through carefully designed lab exercises, group assignments, and your dissertation project.

In lectures, key concepts and ideas are introduced, definitions are stated, techniques are explained, and immediate student queries discussed.

Seminars provide the students with the opportunity to discuss at greater length issues arising from lectures.

Workshops sessions are used to foster practical engagement with the taught material.

The dissertation project plays a more significant role in supporting literature review in a technically complex area and to plan, execute and evaluate a significant investigation into a current problem area related to wireless communication systems.

Assessment

Taught modules are assessed by final examinations or by a mix of examination and laboratory work. Project management is assessed by course work. Generally, students start working on their dissertations in January and submit by the end of September.

Special Features

The course is taught by academics who are experts in their fields and have strong collaborative links with industry and other international research organisations. Some well-known textbooks in this area are authored by members of the course team.

The course is fully supported with computing and modern, well-equipped RF laboratories. As a student you will enjoy working on the latest and advanced equipment.

Electronic and Computer Engineering at Brunel supports a wide range of research groups, each with a complement of academics and research staff and students:

- Media Communications
- Wireless Networks and Communications
- Power Systems
- Electronic Systems
- Sensors and Instrumentation.

Our portfolio of research contracts totals £7.5 million, and we’ve strong links with industry.

Prizes
Rohde and Schwartz best in RF Prize
Criteria for award: Best overall PG student on MSc Wireless Communications Systems with a relevant RF dissertation
Composition of prize: RF books and Certificate

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Accreditation

The MSc in Wireless Communications Systems is fully accredited by the Institution of Engineering and Technology (IET).

Read less
This course covers a wide range of topics from both applied and applicable mathematics and is aimed at students who want to study the field in greater depth, in areas which are relevant to real life applications. Read more
This course covers a wide range of topics from both applied and applicable mathematics and is aimed at students who want to study the field in greater depth, in areas which are relevant to real life applications.

You will explore the mathematical techniques that are commonly used to solve problems in the real world, in particular in communication theory and in physics. As part of the course you will carry out an independent research investigation under the supervision of a member of staff. Popular dissertation topics chosen by students include projects in the areas of communication theory, mathematical physics, and financial mathematics.

The transferable skills gained on this course will open you up to a range of career options as well as provide a solid foundation for advanced research at PhD level.

See the website https://www.royalholloway.ac.uk/mathematics/coursefinder/mscmathematicsforapplications.aspx

Why choose this course?

- You will be provided with a solid mathematical foundation and knowledge and understanding of the subjects of cryptography and communications, preparing you for research or professional employment in this area.

- The Mathematics Department at Royal Holloway is well known for its expertise in information security and cryptography. The academics who teach on this course include several leading researchers in these areas.

- The mathematical foundations needed for applications in communication theory and cryptography are covered including Algebra, Combinatorics Complexity Theory/Algorithms and Number Theory.

- You will have the opportunity to carry out your dissertation project in a cutting-edge research area; our dissertation supervisors are experts in their fields who publish regularly in internationally competitive journals and there are several joint projects with industrial partners and Royal Holloway staff.

- After completing the course students have a good foundation for the next step of their career both inside and outside academia.

Department research and industry highlights

The members of the Mathematics Department cover a range of research areas. There are particularly strong groups in information security, number theory, quantum theory, group theory and combinatorics. The Information Security Group has particularly strong links to industry.

Course content and structure

You will study eight courses and complete a main project under the supervision of a member of staff.

Core courses:
Theory of Error-Correcting Codes
The aim of this unit is to provide you with an introduction to the theory of error-correcting codes employing the methods of elementary enumeration, linear algebra and finite fields.

Advanced Cipher Systems
Mathematical and security properties of both symmetric key cipher systems and public key cryptography are discussed, as well as methods for obtaining confidentiality and authentication.

Main project
The main project (dissertation) accounts for 25% of the assessment of the course and you will conduct this under the supervision of a member of academic staff.

Additional courses:
Applications of Field Theory
You will be introduced to some of the basic theory of field extensions, with special emphasis on applications in the context of finite fields.

Quantum Information Theory
‘Anybody who is not shocked by quantum theory has not understood it' (Niels Bohr). The aim of this unit is to provide you with a sufficient understanding of quantum theory in the spirit of the above quote. Many applications of the novel field of quantum information theory can be studied using undergraduate mathematics.

Network Algorithms
In this unit you will be introduced to the formal idea of an algorithm, when it is a good algorithm and techniques for constructing algorithms and checking that they work; explore connectivity and colourings of graphs, from an algorithmic perspective; and study how algebraic methods such as path algebras and cycle spaces may be used to solve network problems.

Advanced Financial Mathematics
In this unit you will investigate the validity of various linear and non-linear time series occurring in finance and extend the use of stochastic calculus to interest rate movements and credit rating;

Combinatorics
The aim of this unit is to introduce some standard techniques and concepts of combinatorics, including: methods of counting including the principle of inclusion and exclusion; generating functions; probabilistic methods; and permutations, Ramsey theory.

Computational Number Theory
You will be provided with an introduction to many major methods currently used for testing/proving primality and for the factorisation of composite integers. The course will develop the mathematical theory that underlies these methods, as well as describing the methods themselves.

Complexity Theory
Several classes of computational complexity are introduced. You will discuss how to recognise when different problems have different computational hardness, and be able to deduce cryptographic properties of related algorithms and protocols.

On completion of the course graduates will have:
- knowledge and understanding of: the principles of communication through noisy channels using coding theory; the principles of cryptography as a tool for securing data; and the role and limitations of mathematics in the solution of problems arising in the real world

- a high level of ability in subject-specific skills, such as algebra and number theory

- developed the capacity to synthesise information from a number of sources with critical awareness

- critically analysed the strengths and weaknesses of solutions to problems in applications of mathematics

- the ability to clearly formulate problems and express technical content and conclusions in written form

- personal skills of time management, self-motivation, flexibility and adaptability.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The examinations in May/June count for 75% of the final average and the dissertation, which has to be submitted in September, counts for the remaining 25%.

Employability & career opportunities

Our students have gone on to successful careers in a variety of industries, such as information security, IT consultancy, banking and finance, higher education and telecommunication. In recent years our graduates have entered into roles including Principal Information Security Consultant at Abbey National PLC; Senior Manager at Enterprise Risk Services, Deloitte & Touche; Global IT Security Director at Reuters; and Information Security Manager at London Underground.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This programme is for graduate engineers wishing to work in the electrical power industry. It develops your knowledge of electrical power and energy systems, giving you a good understanding of the latest developments and techniques within the electrical power industry. Read more

This programme is for graduate engineers wishing to work in the electrical power industry. It develops your knowledge of electrical power and energy systems, giving you a good understanding of the latest developments and techniques within the electrical power industry.

Course details

The programme is centred around three major themes:

  • electrical power networks with emphasis on conventional networks, smart grids, high voltage direct current transmission and asset management of network infrastructure
  • renewable energies with emphasis on wind and solar power
  • power electronics with emphasis on power electronic convertors in converting and controlling power flows in electrical networks and renewable energy systems.

There are three routes you can select from to gain a postgraduate Master’s award:

  • MSc Electrical Power and Energy Systems – one year full time
  • MSc Electrical Power and Energy Systems – two years part time
  • MSc Electrical Power and Energy Systems (with Advanced Practice) – two years full time

The one-year programme is a great option if you want to gain a traditional MSc qualification – you can find out more here. This two-year master’s degree with advanced practice enhances your qualification by adding to the one-year master’s programme an internship, research or study abroad experience.The MSc Electrical Power and Energy Systems (with Advanced Practice) offers you the chance to enhance your qualification by completing an internship, research or study abroad experience in addition to the content of the one-year MSc.

What you study

For the MSc with advanced practice, you complete 120 credits of taught modules, a 60-credit master’s research project and 60 credits of advanced practice.

Course structure

Core modules

  • Asset Management
  • Data Acquisition and Signal Processing Techniques
  • Emerging Transmission Systems
  • Power Electronics
  • Practical Health and Safety Skills
  • Project Management and Enterprise
  • Renewable Energy Conversion Systems
  • Research and Study Skills
  • Research Project (Advanced Practice)
  • Smart Power Distribution

Advanced Practice options

  • Research Internship
  • Study Abroad
  • Vocational Internship

Modules offered may vary.

Teaching

How you learn

You learn through lectures, tutorials and practical sessions. Lectures provide the theoretical underpinning while practical sessions give you the opportunity to put theory into practice, applying your knowledge to specific problems. 

Tutorials and seminars provide a context for interactive learning and allow you to explore relevant topics in depth. In addition to the taught sessions, you undertake a substantive MSc research project.

In addition to the taught sessions, you undertake a substantive MSc research project and the Advanced Practice module. This module enables you to experience and develop employability or research attributes and experiential learning opportunities in either an external workplace, internal research environment or by studying abroad. You also critically engage with either external stakeholders or internal academic staff, and reflect on your own personal development through your Advanced Practice experience.

How you are assessed

Assessment varies from module to module. It may include in-course assignments, design exercises, technical reports, presentations or formal examinations. For your MSc project you prepare a dissertation.

Your Advanced Practice module is assessed by an individual written reflective report (3,000 words) together with a study or workplace log, where appropriate, and through a poster presentation.

Employability

As an electrical power and energy systems engineer you can be involved in designing, constructing, commissioning and lifecycle maintenance of complex energy production, conversion and distribution systems. 

Your work can include energy storage systems, management and efficient use of energy in building, manufacturing and processing systems. You can also be involved in work relating to the environmental and economic impact of energy usage.

Examples of the types of jobs you could be doing include:

  • designing new electrical transmission and distribution systems
  • managing maintenance and repair
  • managing operations of existing systems
  • managing operations of a wind turbine farm
  • analysing the efficiency of hydroelectric power systems
  • evaluating the economic viability of new solar power installations
  • assessing the environmental impact of energy systems.


Read less
EIT is pleased to bring you the Master of Engineering (Electrical Systems)** program. In this accredited and prestigious program you will gain. Read more

EIT is pleased to bring you the Master of Engineering (Electrical Systems)** program.

In this accredited and prestigious program you will gain:

- Skills and know-how in the latest and developing technologies in electrical systems

- Practical guidance and feedback from experts from around the world

- Live knowledge from the extensive experience of expert instructors, rather than from just theoretical information gained from books and college

- Credibility and respect as the local electrical systems expert in your firm

- Global networking contacts in the industry

- Improved career choices and income

- A valuable and accredited Master of Engineering (Electrical Systems)** qualification

The next intake will start on the week of June 25, 2018.

Contact us to find out more and apply (http://www.eit.edu.au/course-enquiry).

** A note regarding recognition of this program in the Australian education system: EIT is the owner of this program. The qualification is officially accredited by the Tertiary Education Quality and Standards Agency (TEQSA). EIT delivers this program to students worldwide.

Visit the website http://www.eit.edu.au/master-engineering-electrical-systems

Professional Recognition

This Master Degree (or Graduate Diploma) is officially accredited by the Tertiary Education Quality and Standards Agency (TEQSA) in Australia.

It is a professional development program and is not currently an entry-to-practice qualification. Engineers Australia are considering this and other programs for those students desiring professional status (e.g. CPEng). However, the outcome of this review may or may not result in a student gaining chartered professional status if he or she does not already possess this.

Additional Entry Requirements

An appropriate level of English Language Proficiency equivalent to an English pass level in an Australian Senior Certificate of Education, or an IELTS score of 6.5 (with no individual band less than 6.0) or equivalent as outlined in the EIT Admissions Policy.

Congruent field of practice means one of the following with adequate electrical engineering content (with fields not listed below to be considered by the Dean and the Admissions committee on a case-by-case basis):

• Electrical Engineering

• Electronic and Communication Systems

• Industrial Engineering

• Instrumentation, Control and Automation

• Mechatronic Systems

• Manufacturing and Management Systems

• Industrial Automation

• Production Engineering

Overview

Electrical power is an essential infrastructure of our society. Adequate and uninterrupted supply of electrical power of the required quality is essential for industries, commercial establishments and residences; and almost any type of human activity is impossible without the use of electricity. The ever-increasing cost of fuels required for power generation, restricted availability in many parts of the world, demand for electricity fueled by industrial growth and shortage of skilled engineers to design, operate and maintain power network components are problems felt everywhere today. The Master of Engineering (Electrical Systems) is designed to address the last-mentioned constraint, especially in today’s context where the field of electrical power is not perceived as being ‘cool’ unlike computers and communications and other similar nascent fields experiencing explosive growth. But it is often forgotten that even a highly complex and sophisticated data centre needs huge amounts of power of extremely high reliability, without which it is just so much silicon (and copper).

This program presents the topics at two levels. The first year addresses the design level where the student learns how to design the components of a power system such as generation, transmission and distribution as well as the other systems contributing to the safety of operation. The topics in the first year also cover the automation and control components that contribute to the high level of reliability expected from today’s power systems. Because of the constraints imposed by the fuel for power generation and the environmental degradation that accompanies power generation by fossil fuels, the attention today is focused on renewable energy sources and also more importantly how to make the generation of power more efficient and less polluting so that you get a double benefit of lower fuel usage and lower environmental impact. Even the best designed systems need to be put together efficiently. Setting up power generation and transmission facilities involves appreciable capital input and complex techniques for planning, installation and commissioning. Keeping this in view, a unit covering project management is included in the first year.

The second year of the program focuses on the highly complex theory of power systems. If the power system has to perform with a high degree of reliability and tide over various disturbances that invariably occur due to abnormal events in the power system, it is necessary to use simulation techniques that can accurately model a power system and predict its behavior under various possible disturbance conditions. These aspects are covered in the course units dealing with power system analysis and stability studies for steady-state, dynamic and transient conditions. The aspect of power quality and harmonic flow studies is also included as a separate unit.

The study of power systems has an extensive scope and besides the topics listed above, a student may also like to cover some other related topic of special interest. The ‘Special Topics in Electrical Power Systems’ unit aims to provide students with the opportunity for adding one ‘state-of-the art’ topic from a list of suggested fields. Examples are: Smart grids, Micro-grids and Geographic Information System (GIS) application in utility environment.

The Masters Thesis which spans over two complete semesters is the capstone of the program, requiring a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding units. As a significant research component of the course, this program component will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling the students to critique current professional practice in the electrical power industry.

Who Would Benefit

Those seeking to achieve advanced know-how and expertise in industrial automation, including but not limited to:

- Electric Utility engineers

- Electrical Engineers and Electricians

- Maintenance Engineers and Supervisors

- Energy Management Consultants

- Automation and Process Engineers

- Design Engineers

- Project Managers

- Consulting Engineers

- Production Managers



Read less
About the course. Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. Read more

About the course

Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC).

The core modules provide you with the basic skills you’ll need to become a control and systems engineer. You’ll take advanced modules in current areas of interest and complete a research-level dissertation project.

Push yourself further

We have cutting edge facilities and technology, including: advanced control

and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

Make your mark

You could pursue a career with a large international organisation or government department. Our graduates work in sectors such as manufacturing, power generation and sustainable energy, with companies including British Airways, Jaguar Land Rover, NASA, IBM, Rolls-Royce and Unilever.

A masters from Sheffield is the mark of someone with the skills to apply their knowledge in industry, anywhere in the world. Our MSc in Advanced Control and Systems Engineering is accredited by the Engineering Council UK, IET and InstMC. These marks of assurance mean our degrees meet the high standards set by the engineering profession.

A Sheffield masters is a strong foundation for a career in industry or research.

Industry links

We have strong links with industrial partners such as Rolls-Royce and BAE Systems. Our industrial partners help us to design our courses, making sure you learn the right skills.

Rolls-Royce has a research and development centre here, using our expertise to explore today’s challenges. Our masters students often work side by side with researchers at these facilities.

A stimulating environment

The 2014 Research Excellence Framework (REF) rates us No 1 in the UK for research output, ahead of Oxford and Cambridge, and No 3 for overall research excellence. Our world-class reputation attracts highly motivated staff and students.

You’ll be taught by staff who work on real-world projects, developing new ideas – for submarines, robots, Formula One and even space exploration. Their approach to teaching is just as innovative: ideas like the award-winning take-home lab kit and e-puck mobile robotics activities help you develop the problem-solving skills you need for a trailblazing career.

Core modules

  • Foundations of Control Systems
  • State-Space, Optimal Control and Nonlinear Systems
  • Signal Processing and Estimation
  • Embedded Systems and Rapid Control Prototyping
  • Managing Engineering Projects and Risk
  • Design Innovation Toolbox
  • Professional Responsibilities of the Engineer
  • Control Systems Project and Dissertation.

Examples of optional modules

  • Intelligent and Vision Systems
  • Nonlinear and Hybrid Systems
  • Robotic and Autonomous Systems
  • Multisensor and Decision Systems

Project work

You can use our award-winning take-home lab kits to explore core concepts at home. It supports our teaching, giving you the chance to learn by doing, when you want to, not just in classes. You’ll work on a major project of your own as part of your final assessment and there are chances to contribute to other projects throughout the course.

Teaching and assessment

You can expect a mix of lectures, tutorials, laboratory work and individual assignments. All the lectures and tutorials are for our systems and control students only. This helps you to bond with your fellow students, so you can learn from each other.

You're assessed via exams, coursework assignments and a project dissertation.



Read less
Effective use of renewable energy and improvements in the efficiency of power generation facilities will enable better energy management in the future and help reduce environmental impact. Read more

Why take this course?

Effective use of renewable energy and improvements in the efficiency of power generation facilities will enable better energy management in the future and help reduce environmental impact. This course responds to an urgent need for specialists in energy and power systems management, as well as a growing skills shortage of people with core knowledge in this field.

The course provides relevant, up-to-date skills that will equip both graduates and working professionals in the advanced concepts of sustainable electrical power and energy generation. It offers skills for operation, control, design, regulation and management of power systems and networks of the future. You will also receive training in and understanding of energy production, delivery, consumption and efficiency.

What will I experience?

On this course you will:

Benefit from experts in the industry who will deliver part of the course as visiting lecturers, bringing professional expertise and industry-relevant material
Be encouraged to reach a level of competence and professionalism where you can effectively integrate your technical and non-technical knowledge to solve a range of problems of a complex nature
Learn in a challenging and stimulating study environment
Develop a range of key skills by means of opportunities provided in the study units
Being an MSc course, you are encouraged and expected to be able to reach a level of competence and professionalism where you can effectively integrate your technical and non-technical knowledge to solve a range of problems of a complex nature.

What opportunities might it lead to?

The course will help to maximise your career potential in this field and equips you to work as an engineer, at an advanced level, in the fields of energy and power systems management.

Module Details

You will study several key topics and complete a four-month individual project in which you apply your knowledge to a significant, in-depth piece of analysis or design. Projects are tailored to your individual interests and may take place in our own laboratories or, by agreement, in industry. Experts from Industry (STS Nuclear) deliver part of the course as visiting lecturers, bringing professional expertise and industry-relevant material to the programme.

Here are the units you will study:

Power Systems Technology: This unit provides an in-depth overview of contemporary electrical power systems. It covers the elements of electrical power systems including generation, transmission and distribution in the mixed energy source paradigm.

Electrical Machines and drives: Provides an in-depth overview of the operational principles and physical design of DC and AC electrical machines as well as broad understanding of concepts of power electronics and power electronic converters, so that you can describe their application and selection criteria. You will develop an understanding of the issues present in converter design, including the impact of physical layout and heat dissipation.

Energy Systems: Focuses on the techniques and principles of operation of thermodynamics and combustion systems, as well as the provision and management of energy. It also focuses on power generation and combined systems, BioMass processers application of heat and fluid transfer.

Renewable and Alternative Energy: Provides an in-depth coverage of the principles of renewable and alternative energy systems: Winds, Solar, BioMass, Geothermal, Fuel Cells, Hydrogen Technologies and Nuclear Energy.

Nuclear Technology: A study of nuclear engineering including the theory of atomic and nuclear physics, methods and benefits of generating electricity from nuclear power plants, and the effects of ionising radiation. The nuclear fuel cycle and the associated environmental impacts are also considered. The development of international guidance on nuclear and radiological safety and a comparison of national regulatory structures are analysed. The importance of safety cultures, safety behaviours and safety cases is a key element throughout this module.

Energy Management: The unit is specifically designed to provide the students with the basic of economical analysis and evaluation of energy projects and asset management as well as risk and hazard assessment, comprising legislation, hazard identification and quantification, quantified risk analyses, methods of elimination/mitigation, economic appraisal of integrated renewable, and petroleum projects; with numerous pertinent case studies.

Programme Assessment

You will be taught through a mixture of lectures, seminars, tutorials (personal and academic), laboratory sessions and project work. The course has a strong practical emphasis and you will spend a significant amount of time in our Energy, Power systems and Electronic laboratories.

A range of assessment methods encourages a deeper understanding of engineering and allows you to develop your skills. Here’s how we assess your work:

Written examinations
Coursework
Laboratory-based project work
A major individual project/dissertation

Student Destinations

This course is designed to respond to a growing skills shortage of people with core knowledge in energy and power systems management. It is an excellent preparation for a successful career in this ever expanding and dynamic field.

On successful completion of the course, you will have gained the skills and knowledge that will make you attractive to a wide variety of employers with interests ranging from overall system design to the more detailed development of subsystems. You will acquire the ability to critically evaluate methodologies, analytical procedures and research methods in energy and power systems management and in the use of state-of-the-art computational tools, the design of sustainable electrical power systems and networks and regulatory frameworks. For practicing engineers with professional business experience, the course is an opportunity to update your knowledge of current design practice and also to familiarise themselves with developments in codes and methods of analysis.

Read less
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more

Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.

The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.

On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.

On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.

See the website http://www.ru.nl/masters/ai/computation

Why study Computation in Neural and Artificial Systems at Radboud University?

- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

Some examples of possible thesis subjects:

- Deep learning

Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

- Brain Computer Interfacing

Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:

- PhD researcher on bio-inspired computing

- PhD researcher on neural decoding

- PhD researcher on neural information processing

- Machine learning expert in a software company

- Company founder for brain-based computer games

- Hospital-based designer of assistive technology for patients

- Policy advisor on new developments in neurotechnology

- Software developer for analysis and online visual displays of brain activity

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.

See the website http://www.ru.nl/masters/ai/computation

Radboud University Master's Open Day 10 March 2018



Read less
Learn the essential skills and techniques needed to develop autonomous systems, embedded artificial intelligence and robotics. This course is new for 2018. Read more

Learn the essential skills and techniques needed to develop autonomous systems, embedded artificial intelligence and robotics.

This course is new for 2018

Our course will help you take your career forward in an innovative and developing area of engineering. It balances advanced theory with technical skills so that you can learn to develop complete operational systems. Our course is suited to you if you have a background in electronic and electrical engineering, computer science or a related discipline.

During the course, you will gain a comprehensive understanding of how to research, design and develop systems. You’ll explore robotics engineering and software, autonomous systems technologies, processes and products throughout the industry value chain. Other areas you will cover include computational intelligence, machine learning and sensors.

Your studies will focus on tackling engineering challenges using whole-systems approaches. We’ll give you the tools to analyse and evaluate the impact of the resources, processes and products you choose in developing systems. You’ll consider stakeholder needs and factors such as technical, economic, environmental and social.

You’ll learn from academics in our Departments of Computer Science, Electronic & Electrical Engineering, and Mechanical Engineering. Their international collaborations and research expertise feed into your learning experience.

You will work on individual and group projects using the same systems platforms as those used in industry. Our focus on practical learning makes sure you have the skills to design and build robotic platforms and autonomous systems.

You’ll develop:

  • The fundamentals in robotics, electronics and autonomous systems, from established principles to new techniques
  • An understanding of design processes and methodologies and how to apply them
  • Awareness of current challenges and the latest thinking in electronic systems design
  • The ability to test a range of concepts and apply them to engineering projects

You’ll graduate with the skills to innovate and deliver resource-efficient practices and solutions for robotic and autonomous systems. Your knowledge will prepare you for a career in the engineering sector or for further postgraduate study and research.

We also offer this course without a placement (3 semesters).

Course structure

See our webpage for details.



Read less
The Energy Systems and Data Analytics MSc provides an academically leading and industrially relevant study of energy systems through the lens of data analytics. Read more

The Energy Systems and Data Analytics MSc provides an academically leading and industrially relevant study of energy systems through the lens of data analytics. Advanced analytics, fuelled by big data and massive computational power, has the potential to transform how energy systems are designed, operated and maintained. You will gain the skills and knowledge to unlock the transformative potential of big energy data, and understand how it can reshape the energy sector.

About this degree

You will gain a broad understanding of energy systems as a whole, covering supply and demand, the interconnectedness and dependencies between different sectors and a multi-vector multi-sector approach to analysis. You will learn about the theory and practice of data analysis and will gain practical experience of the challenges of working with different data sets relating to energy throughout the programme and modules. 

The programme consists of five compulsory modules (75 credits), two optional modules (45 credits) and a dissertation (60 credits).

Core modules

  • Energy Systems
  • Energy Data Analytics
  • Statistics for Energy Analysis
  • Energy Analytics in the Built Environment
  • Energy and Transport Analytics

Optional modules

  • Spatial Analysis of Energy Data
  • Introduction to Systems Dynamics Modelling in the Built Environment
  • Econometrics for Energy and the Environment
  • Energy, Technology and Innovation
  • UK Energy and Environment Policy and Law
  • Smart Energy Systems: Theory, Practice and Implementation
  • Eco-innovation and Sustainable Entrepreneurship

The list of optional modules is correct for the 2018/19 academic year. Enrolment on modules is subject to availability.

Dissertation/report

All students undertake an independent research project whch culminates in a 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials, problem-based learning and project work. Assessment is through a combination of methods including problem sets, individual assignments and coursework, group based design tasks with a report and presentation, unseen examinations and a dissertation.

Further information on modules and degree structure is available on the department website: Energy Systems and Data Analytics MSc

Careers

Graduates of the ESDA MSc will be ideally placed to gain employment as energy analysts/ data scientists in consultancies, utilities, innovative start-ups and government institutions which value expertise in energy systems and have a need for data literate analysts.

Employability

There is a strong emphasis placed on innovation throughout the programme. Based on our market research and the trends in the industry (which is increasingly driven by data) there will be a healthy demand for our graduates.

Students will also benefit from a skill set in data analytics that will be highly transferable and applicable across a range of industries and domains.

The programme has been developed with input from industry leaders. You will gain exposure to real life energy and sustainability challenges.

Why study this degree at UCL?

The MSc in Energy Systems and Data Analytics is the first programme in the UK to combine the study of energy systems with data science. The MSc is delivered by leading researchers in the UCL Energy Institute and UCL Institute for Sustainable Resources. You will benefit from their specific expertise, research communities and industry contacts (including guest lecturers drawn from the energy industry), as well as our multidisciplinary and cross-domain approach.

The UCL Energy Institute has consulted across industry to identify key skills gaps for the energy analysts that will be required by utilities, consultancies and small and medium enterprises. There is a growing need in industry for graduates who combine an understanding of energy systems with the skills and abilities to extract insights from data through the use of advanced analytics.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



Read less
The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. Read more
The Department of Mathematics offers graduate courses leading to M.Sc., and eventually to Ph.D., degree in Mathematics. The Master of Science program aims to provide a sound foundation for the students who wish to pursue a research career in mathematics as well as other related areas. The department emphasizes both pure and applied mathematics. Research in the department covers algebra, number theory, combinatorics, differential equations, functional analysis, abstract harmonic analysis, mathematical physics, stochastic analysis, biomathematics and topology.

Current faculty projects and research interests:

• Ring Theory and Module Theory, especially Krull dimension, torsion theories, and localization

• Algebraic Theory of Lattices, especially their dimensions (Krull, Goldie, Gabriel, etc.) with applications to Grothendieck categories and module categories equipped with torsion theories

• Field Theory, especially Galois Theory, Cogalois Theory, and Galois cohomology

• Algebraic Number Theory, especially rings of algebraic integers

• Iwasawa Theory of Galois representations and their deformations Euler and Kolyvagin systems, Equivariant Tamagawa Number
Conjecture

• Combinatorial design theory, in particular metamorphosis of designs, perfect hexagon triple systems

• Graph theory, in particular number of cycles in 2-factorizations of complete graphs

• Coding theory, especially relation of designs to codes

• Random graphs, in particular, random proximity catch graphs and digraphs

• Partial Differential Equations

• Nonlinear Problems of Mathematical Physics

• Dissipative Dynamical Systems

• Scattering of classical and quantum waves

• Wavelet analysis

• Molecular dynamics

• Banach algebras, especially the structure of the second Arens duals of Banach algebras

• Abstract Harmonic Analysis, especially the Fourier and Fourier-Stieltjes algebras associated to a locally compact group

• Geometry of Banach spaces, especially vector measures, spaces of vector valued continuous functions, fixed point theory, isomorphic properties of Banach spaces

• Differential geometric, topologic, and algebraic methods used in quantum mechanics

• Geometric phases and dynamical invariants

• Supersymmetry and its generalizations

• Pseudo-Hermitian quantum mechanics

• Quantum cosmology

• Numerical Linear Algebra

• Numerical Optimization

• Perturbation Theory of Eigenvalues

• Eigenvalue Optimization

• Mathematical finance

• Stochastic optimal control and dynamic programming

• Stochastic flows and random velocity fields

• Lyapunov exponents of flows

• Unicast and multicast data traffic in telecommunications

• Probabilistic Inference

• Inference on Random Graphs (with emphasis on modeling email and internet traffic and clustering analysis)

• Graph Theory (probabilistic investigation of graphs emerging from computational geometry)

• Statistics (analysis of spatial data and spatial point patterns with applications in epidemiology and ecology and statistical methods for medical data and image analysis)

• Classification and Pattern Recognition (with applications in mine field and face detection)

• Arithmetical Algebraic Geometry, Arakelov geometry, Mixed Tate motives

• p-adic methods in arithmetical algebraic geometry, Ramification theory of arithmetic varieties

• Topology of low-dimensional manifolds, in particular Lefschetz fibrations, symplectic and contact structures, Stein fillings

• Symplectic topology and geometry, Seiberg-Witten theory, Floer homology

• Foliation and Lamination Theory, Minimal Surfaces, and Hyperbolic Geometry

Read less

Show 10 15 30 per page



Cookie Policy    X