The Architectural Computation MRes offers a self-directed route which concentrates on research skills, for those intending to take a doctoral degree or those looking to take their existing architecture and computating experience to a higher level. The programme can be taken alone or as the first year of Virtual Environments, Imaging and Visualisation (VEIV) EngD.
On completion of the programme, students will be able to use computational techniques in architecture, understand and predict the consequences of their design actions through computational processes, integrate their predictions into the design process, and carry out self-sufficient research into new methods and processes.
Students undertake modules to the value of 180 credits.
The programme consists of taught modules (30 credits), research skills modules (30 credits) and research projects (120 credits).
Core modules
Optional modules
There are no optional modules for this programme.
Dissertation/report
Students complete project reports for the research projects listed above.
Teaching and learning
The programme is delivered through a combination of lectures, workshops and seminars as well as individual and collaborative projects. Time is dedicated to studio sessions with experienced tutors who have a track record of research into architecture and computation. Assessment is through unseen examination, a 3,000-word term paper and project reports.
Further information on modules and degree structure is available on the department website: Architectural Computation MRes
After completing the programme, many graduates go on to join leading architectural and engineering practices, either directly with design teams or with specialist modelling groups.
Employability
Our MRes concentrates on your research skills, offering a self-directed route if you are intending to undertake a doctoral degree or are looking to take your existing architecture and computing experience to a higher level. Alumni have joined (or founded) cutting-edge emerging digital design practices such as United Visual Artists and Moving Brands, or they have moved into academic research.
The UCL Bartlett is the UK's largest multidisciplinary Faculty of the Built Environment, bringing together dozens of scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future. Located in London, we are at the heart of the world's largest cluster of creative architects and engineering firms and with all the resources of a world city to hand.
The Architectural Computation programme at UCL offers a unique perspective on the application of technology to the built environment. The programme team, drawn from the Space Syntax Laboratory - the originator of the discipline - comprises both architects and experts in artificial intelligence.
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: Bartlett School of Architecture
81% 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.
This multidisciplinary area is the study of computational systems that use ideas and gain inspiration from natural systems. The MRes programme explores current topics in natural computation, such as evolutionary algorithms, co-evolution, evolutionary design, nature-inspired optimisation techniques, evolutionary games, novel learning algorithms, artificial neural networks and theory of natural computation.
There is an increasing need from industry for professionals with knowledge of natural computation techniques. Our graduates develop a solid foundation to pursue a research and development career in industry or further studies.
The MRes is a Masters degree by research. This means that you are taught core principles and then develop these skills by doing interesting, innovative research, supported by academic staff and peers. This is structured so that you learn how to plan, organise and manage your time; you learn what it is to be a scientific researcher; you help contribute to the development of new knowledge; you learn intellectual skills such as argumentation, exposition, and reasoning; and you develop as an individual by improving your communication skills, writing, collaborative working and creativity.
The mini project module consists of a research project on the in-depth investigation of a chosen topic coming from industry (strongly encouraged) or academia.
The compulsory Research Skills module provides you with the basis of transferable knowledge and skills necessary for a successful research-oriented career in industry or academia, with a particular orientation to computing-based disciplines.
Your research thesis project consists of solving a substantial problem using natural computation techniques (including hybrid techniques). Industrial co-supervisors are used whenever appropriate, and you will be required to apply the knowledge and skills you have acquired to solve a difficult problem.
This innovative MRes programme is led and run primarily by the world-leading Natural Computation Group and CERCIA in the School of Computer Science. The group has over 40 full-time researchers, including teaching staff, research fellows and associates, PhD students, and academic visitors.
Taught modules are assessed by a mixture of written examinations and continuous assessment. The first semester mini-project is assessed by a written report. Your thesis will be examined by an internal and an external examiner.
Career opportunities
We have strong links with industry, especially through CERCIA, including Honda, BT, Thales, Unilever, GSK, Rolls Royce, etc. We encourage MRes students to carry out their research projects in collaboration with our industrial partners, and opportunities also exist for students to do their project work within a company.
University Careers Network
Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.
Our unique careers guidance service is tailored to your academic subject area, offering a specialised team (in each of the five academic colleges) who can give you expert advice. Our team source exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.
If you make the most of the wide range of services you will be able to develop your career from the moment you arrive.
Scientific computing is a new and growing discipline in its own right. It is concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering.
By its very nature, scientific computing is a fundamentally multidisciplinary subject. The various application areas give rise to mathematical models of the phenomena being studied.
Examples range in scale from the behaviour of cells in biology, to flow and combustion processes in a jet engine, to the formation and development of galaxies. Mathematics is used to formulate and analyse numerical methods for solving the equations that come from these applications.
Implementing the methods on modern, high performance computers requires good algorithm design to produce efficient and robust computer programs. Competence in scientific computing thus requires familiarity with a range of academic disciplines. The practitioner must, of course, be familiar with the application area of interest, but it is also necessary to understand something of the mathematics and computer science involved.
Whether you are interested in fundamental science, or a technical career in business or industry, it is clear that having expertise in scientific computing would be a valuable, if not essential asset. The question is: how does one acquire such expertise?
This course is one of a suite of MScs in Scientific Computation that are genuinely multidisciplinary in nature. These courses are taught by internationally leading experts in various application areas and in the core areas of mathematics and computing science, fully reflecting the multidisciplinary nature of the subject. The courses have been carefully designed to be accessible to anyone with a good first degree in science or engineering. They are excellent preparation either for research in an area where computational techniques play a significant role, or for a career in business or industry.
Key facts:
- This course is offered in collaboration with the School of Computer Science.
- It is one of a suite of courses focusing on scientific computation.
- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 60 full-time academic staff.
- In the latest independent Research Assessment Exercise, the school ranked 8th in the UK in terms of research power across the three subject areas within the School of Mathematical Sciences (pure mathematics, applied mathematics, statistics and operational research).
Advanced Techniques for Differential Equations
Computational Linear Algebra
Operations Research and Modelling
Programming for Scientific Computation
Scientific Computation Dissertation
Simulation for Computer Scientists
Stochastic Financial Modelling
Variational Methods
Vocational Mathematics
Data Mining Techniques and Applications
Mathematical Foundations of Programming
IELTS: 6.0 (with no less than 5.5 in any element)
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Logic and Computation at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Logic is the basis for reasoning about what we can express and compute, having a profound influence in philosophy, linguistics, mathematics, computer science, and electronics. Since the invention of computers, logic has always been the primary source of ideas and techniques for the theoretical and practical development of programming.
Today, as the scope of programming technologies expands, and the horizon of applications widens, research in logic and its applications in software and hardware development is booming. In industry, formal methods are an integral part of system development, e.g., in automotive electronics, avionics, and chip design.
The MRes Logic and Computation course will teach you about advanced techniques in logic and their applications in research problems in computer science. You will receive an elite education of direct relevance to research and development problems in contemporary information and communication technology (ICT).
Teaching score of Excellent.
Highest percentage of top-class researchers of any Computer Science department in Wales – and only 12 in the UK have higher.
70% of the research activity assessed as world-leading or internationally excellent.
Our industrial programme IT Wales which can arrange vacation employment placements.
A state-of-the-art education.
Friendly staff, committed to the highest standards.
A university with high success rate, low drop-out rate, and excellent student support.
Swansea's Library spends more per student on books and other resources than any other university in Wales, and most in the UK.
Research Component
The main part of the MRes in Logic and Computation is a substantial and challenging project involving cutting edge research. The completion of such a project will give you the ability and confidence to pursue a successful career in industrial research and development, or to proceed to academic PhD studies.
Taught Component
In seminars and reading courses you will enter the world of research by studying general topics in theoretical computer science as well as special topics for your research project. Guided by your supervisor you will conquer new technical subjects and learn to critically assess current research.
Lecturers and students will meet regularly to discuss recent developments and give informal talks. Topics of the seminars are chosen in accordance with the research projects, and will cover material such as:
Theorem proving techniques
Formal program verification
Algebraic and coalgebraic specification
Modelling of distributed systems
Advanced methods in complexity theory
Additionally you will choose selected taught modules covering important topics such as Critical Systems, IT Security, Concepts of Programming
Languages, Artificial Intelligence Applications, Design Patterns and Generic Programming.
The Department is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.
90% of Swansea’s Computer Science graduates are in full-time employment or further study within six months of graduating (HESA June 2011).
Some example job titles from the HESA survey 2011:
Software Engineer: Motorola Solutions
Change Coordinator: Logica
Software Developer/Engineer: NS Technology
Workflow Developer: Irwin Mitchell
IT Developer: Crimsan Consultants
Consultant: Crimsan Consultants
Programmer: Evil Twin Artworks
Web Developer & Web Support: VSI Thinking
Software Developer: Wireless Innovations
Associate Business Application Analyst: CDC Software
Software Developer: OpenBet Technologies
Technical Support Consultant: Alterian
Programming: Rock It
Software Developer: BMJ Group
The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).
The Architectural Computation MSc provides a comprehensive understanding of the skills required to create generative, emergent and responsive forms, through exposure to real programming environments. Taught by architects and experts in artificial intelligence, students benefit from studio sessions with tutors who have experience of research in this field.
On completion of the programme, students will be able to use computational techniques in architecture, understand and predict the consequences of their design actions through computational processes, integrate their predictions into the design process, and carry out self-sufficient research into new methods and processes.
Students undertake modules to the value of 180 credits.
The programme consists of five core modules (75 credits), the choice between two streams of optional modules (45 credits) and a dissertation (60 credits).
A Postgraduate Diploma (120 credits, full-time nine months) is offered.
Core modules
Optional modules
There are two streams of optional modules:
Dissertation/report
All MSc students submit a 10,000-word report related to the main themes of the programme, typically involving the development of an interactive installation or a system to improve the design process.
Teaching and learning
The programme is delivered through a combination of lectures, workshops and seminars as well as individual and collaborative projects. Assessment is through unseen examination, coursework (including 3000-word essay, learning log, digitally fabricated piece and documentation, short video piece, and physical piece with video documentation) practical exercises and the dissertation.
Further information on modules and degree structure is available on the department website: Architectural Computation MSc
After completing the programme, most graduates go on to join leading architectural and engineering practices, either directly with design teams or with specialist modelling groups. Alumni have also joined (or founded) cutting-edge emerging digital design practices such as United Visual Artists and Moving Brands, or moved into academic research.
Employability
Our MSc provides a full learning experience with set projects and structured learning. It can be taken by those without any computational experience or those looking for industry-applicable skills.
The UCL Bartlett is the UK's largest multidisciplinary Faculty of the Built Environment, bringing together scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future.
Located in London, we are at the heart of a large cluster of creative architects and engineering firms, next to the UK's seat of government and finance and with all the resources of a world city to hand.
The new architecture coming out of the Bartlett is characterised by a high level of invention and creativity. The school is internationally known as a centre for innovative design.
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: Bartlett School of Architecture
81% 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.
This course looks at the fundamentals of aerodynamics as a subject, focusing on numerical methods and the physics and computation of turbulence.
This one-year masters course is designed to enhance students' knowledge of flow physics and their ability to use state-of-the-art computational tools to improve industrial designs. Students are able to choose modules that reflect their interests, including: Race Car Aerodynamics, Wing Aerodynamics, and Hypersonic and High Temperature Gas Dynamics.
The full-time one-year course is perfect for those seeking to specialise in aerodynamics. You will examine current trends and challenges and engage in discussion and research on critical issues within the field. You will also develop your ability to use experimental and advanced computational methods.
The year will be divided into two semesters. You will gain advanced knowledge of core subjects and have the option to select specialist modules; such as Race Car Aerodynamics and Hypersonic and High Temperature Gas Dynamics. The last four months will exercise your research and practical skills. You will complete a major research project in line with industry needs.
The course will suit those from engineering, scientific and mathematical backgrounds with some experience of fluid dynamics.
View the specification document for this course
Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to drive IT robotics and automation education in the UK.
The programme provides an overview of robotic and computational tools for robotics and autonomous systems as well as their main computational components: kinetic chains, sensing and awareness, control systems, mapping and navigation. Optional modules in machine learning, human-machine interfaces and computer vision help students grasp fields related to robotics more closely, while the project thesis allows students to focus on a specific research topic in depth.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), two to four optional modules (30 to 60 credits), up to two elective modules (30 credits), and a dissertation/report (60 credits).
Core modules
Optional modules
Students will need to choose a minimum of 30 and a maximum of 60 credits from the optional modules.
Please note: the availability and delivery of optional modules may vary, depending on your selection.
Students can also choose up to two elective MSc modules from across UCL Computer Science, UCL Mechanical Engineering and UCL Bartlett School of Architecture.
A list of acceptable elective modules is available on the Departmental page.
Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 12,000 words.
Teaching and learning
Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars. Assessment is through examination, individual and group projects and presentations, and design exercises.
Further information on modules and degree structure is available on the department website: Robotics and Computation MSc
Four MSc Scholarships, worth £4000 each, are made available by the Department of Computer Science to UK/EU offer holders with a record of excellent academic achievement. The closing date will be in June 2018. For more information, please see the department pages.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Robotics is a growing field encompassing many technologies with applications across different industrial sectors, and spanning manufacturing, security, mining, design, transport, exploration and healthcare. Graduates from our MSc programme will have diverse job opportunities in the international marketplace with their knowledge of robotics and the underpinning computational and analytical fundamentals that are highly valued in the established and emerging economies. Students will also be well placed to undertake PhD studies in robotics and computational research specific to robotics but translational across different analytical disciplines or applied fields that will be influenced by new robotic technologies and capabilities.
Employability
This programme prepares students to enter a robotics-related industry or any other occupation requiring engineering or analytical skills. Graduates with skills to develop new robotics solutions and solve computational challenges in automation are likely to be in demand globally.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
With the external project involvement anticipated, students on this programme will have the opportunity to interact and collaborate with key companies in the industry - Airbus, Shadow Hand, OC Robotics and Intuitive Surgical - and work on real-world problems through industry-supported projects.
Recent investment across UCL in the Faculty of Engineering and The Bartlett Faculty of the Built Environment has created the infrastructure for an exciting robotics programme, which will be interdisciplinary and unique within the UK and Europe.
Study a degree which develops your arts practice through the expressive world of creative computation. The Masters provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition.
Computation consists of all the changes brought about by digital technology. Art is an open set of ways of acting inventively in culture. Mixing the two together in a systematic way gives us computational art. This is a very open field, and one that is set to expand enormously in the coming years. It is where the most exciting developments in technology and in culture can already be found. This degree will place you in the middle of this fast-evolving context.
This degree develops your arts practice through the expressive world of creative computation. Over a two years (full-time) or four years (part-time) you will develop your artistic work and thinking through the challenge of developing a series of projects for public exhibition which will explore the technological and cultural ramifications of computation.
You will learn the fundamentals of programming and how to apply this knowledge expressively. You will work with popular open source programming environments such as Processing, OpenFrameworks, P5.js and Arduino, and will learn how to program in languages such as Java, Javascript and C++.
Since computational artworks don’t necessarily involve computers and screens, we also encourage students to produce works across a diverse range of media. Supported by studio technicians in state-of-the-art facilities, our students are producing works using tools such as 3D printers, laser cutters, robotics, wearable technologies, paint, sculpture and textiles.
You will also study contextual modules on computational art and the socio-political effects of technology. Modules provide students with the historical foundations, frameworks, critical skills and confidence to express their ideas effectively. You will have the opportunity to learn the cultural histories of technology, to reflect on computation in terms of its wider cultural effects, and to understand the way in which art provides rigorous ways of thinking.
Through our masterclass series, we regularly invite world-class artists and curators to explain their work and engage in critical dialogue with the students. This allows you to develop a wider understanding of the contemporary art scene and how your work sits within the professional art world.
As well as the MFA, we also offer an MA in Computational Arts. The MA is 1 year (full-time), the MFA 2 years (full-time).
The first year of the MFA is identical to the MA. You take the same classes and you learn the same things. The differences between the two courses is that in the MFA you get a 2nd year in which you take additional courses which help you develop your arts practice further. These courses mean that you get a space to work under a tutor's supervision.
Year 1
Year 1 shares the same core learning as our MA in Computational Arts programme:
The follwing are core modules:
You may then pick modules of your own choice from the optional modules listed below:
In year 2 you will study the following:
Assessment
In Year 2 you will be assessed by: self-evaluation report of 2,500 words; essay of up to 6,000 words; viva voce; exhibition of final work.
The programme will equip you with a broad training in the use of creative computing systems that are currently most important in artistic, design and cultural practices and the creative industries, as well as technologies that are yet to emerge.
Find out more about employability at Goldsmiths.
Study a degree which develops your arts practice through the expressive world of creative computation. It provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition. It is delivered by Computing.
Computation consists of all the changes brought about by digital technology. Art is an open set of ways of acting inventively in culture. Mixing the two together in a systematic way gives us computational art. This is a very open field, and one that is set to expand enormously in the coming years. It is where the most exciting developments in technology and in culture can already be found. This degree will place you in the middle of this fast-evolving context.
This degree develops your arts practice through the expressive world of creative computation. Over a year (full-time) or two years (part-time) you will develop your artistic work and thinking through the challenge of developing a series of projects for public exhibition which will explore the technological and cultural ramifications of computation.
You will learn the fundamentals of programming and how to apply this knowledge expressively. You will work with popular open source programming environments such as Processing, OpenFrameworks, P5.js and Arduino, and will learn how to program in languages such as Java, Javascript and C++.
Since computational artworks don’t necessarily involve computers and screens, we also encourage students to produce works across a diverse range of media. Supported by studio technicians in state-of-the-art facilities, our students are producing works using tools such as 3D printers, laser cutters, robotics, wearable technologies, paint, sculpture and textiles.
You will also study contextual modules on computational art and the socio-political effects of technology. These modules provide students with the historical foundations, frameworks, critical skills and confidence to express their ideas effectively. You will have the opportunity to learn the cultural histories of technology, to reflect on computation in terms of its wider cultural effects, and to understand the way in which art provides rigorous ways of thinking.
Through our masterclass series, we regularly invite world-class artists and curators to explain their work and engage in critical dialogue with the students. This allows you to develop a wider understanding of the contemporary art scene and how your work sits within the professional art world.
As well as the MA, we also offer an MFA in Computational Arts. The MA is 1 year (full-time), the MFA 2 years (full-time).
The first year of the MFA is identical to the MA. You take the same classes and you learn the same things. The differences between the two courses is that in the MFA you get a 2nd year in which you take additional courses which help you develop your arts practice further. These courses mean that you get a space to work under a tutor's supervision.
Postgraduate degree programme in Mathematical Modelling Masters/MSc:
Most things in the real world are complex and difficult to understand, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress in the modern world. Mathematical modelling is a fundamental tool in the challenge to understand many of these systems, and is an essential part of contemporary applied mathematics. By developing, analysing and interpreting mathematical and computational models we gain insight into these complex processes, as well as giving a framework in which to interpret experimental data.
To fully capitalise on these tools, there is a fundamental need in both academic research and industry for a new generation of scientists trained to work at the interdisciplinary frontiers of mathematics and computation. These scientists require the ability to assimilate and understand information from other disciplines, communicate with and enthuse other researchers, as well as having the advanced mathematical and computational skills needed.
In the Autumn and Spring semesters, you will take masters-level courses in both advanced mathematical modelling and computation, in addition to the core interdisciplinary skills needed for a career in this field. In the summer you will undertake a research skills project, working with research leaders in a related area such as biosciences, systems biology, chemical engineering or medicine, alongside mathematics and computation. This will provide directly relevant training for a career in academic, industrial or clinical research, for example biotechnology, industrial engineering or the pharmaceutical industry. A key component will be training specifically in multidisciplinary research and communication, a vital skill for whichever career path the MSc leads you to.
Related Links
In the Autumn and Spring semesters, you will take masters-level courses in both advanced mathematical modelling and computation, in addition to the core interdisciplinary skills needed for a career in this field.
In the summer you will undertake a research skills project, working with research leaders in a related area such as biosciences, systems biology, chemical engineering or medicine, alongside mathematics and computation. This will provide directly relevant training for a career in academic, industrial or clinical research, for example biotechnology, industrial engineering or the pharmaceutical industry.
A key component will be training specifically in multidisciplinary research and communication, a vital skill for whichever career path the MSc leads you to.
Career Opportunities
This course is tailored to train students for careers in scientific research, and for employment in a wide range of industrial contexts, for example biotechnology, industrial engineering or the pharmaceutical industry. There is a considerable need for scientists with a strong mathematical and computational background who can communicate with experimental scientists; this MSc will provide you with specialised training, and through your research skills project, evidence that you can work in this multidisciplinary context.
Further transferrable skills developed through this course include team-working, oral and written presentation, problem-solving and time-management, particularly developed through the summer research skills project. Additional careers support is available through the School of Mathematics and from the University's career support team.
Cognitive Science is a discipline in growing demand, and Edinburgh is a widely recognised leader in this area, with particular strengths in natural language, speech technology, robotics and learning, neural computation and the philosophy of the mind.
You will gain a thorough grounding in neural computation, formal logic, computational and theoretical linguistics, cognitive psychology and natural language processing, and through a vast range of option courses you will develop your own interests in this fascinating field.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You will choose a ‘specialist area’ within the programme, which will determine the choice of your optional courses. The specialist areas are:
Compulsory courses:
There are several optional courses to choose from, such as:
This programme will give you a deep understanding of the expanding domain of cognitive science through formal study and experiments. It is excellent preparation for a rewarding academic or professional career. The quality and reputation of the University, the School of Informatics and this programme will enhance your standing with many types of employer. Recent graduates are now working as software engineers, analysts and language scientists for companies such as British Telecom and Intel.
The Quantum Technologies MSc will take students to the cutting-edge of research in the emerging area of quantum technologies, giving them not only an advanced training in the relevant physics but also the chance to acquire key skills in the engineering and information sciences.
Students learn the language and techniques of advanced quantum mechanics, quantum information and quantum computation, as well as state-of-the-art implementation with condensed matter and quantum optical systems.
Students undertake modules to the value of 180 credits.
The programme consists of three core modules (45 credits), three optional modules (45 credits) and a research project (90 credits).
Core modules
All students take the following core modules:
Optional modules
Students choose one optional module from any of the Physics MSc degrees as well as two of the following optional modules:
Research project and case studies
The MSc programme culminates in the quantum technologies project and attached case studies. All students undertake two case studies related to quantum technologies as well as an independent research project (experimental or theoretical), which will be the subject of a presentation and a dissertation of 10,000-15,000 words. Research-active supervisors will provide topics which will enable the students to make contributions to research in the field.
Teaching and learning
The programme is delivered through a combination of lectures and seminars, with self-study on two modules devoted to the critical assessment of current research topics and the corresponding research skills. Assessment is through a combination of problem sheets, written examinations, case study reports and presentations, as well as the MSc project dissertation.
Further information on modules and degree structure is available on the department website: Quantum Technologies MSc
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
The programme prepares graduates for careers in the emerging quantum technology industries which play an increasingly important role in: secure communication; sensing and metrology; the simulation of other quantum systems; and ultimately in general-purpose quantum computation. Graduates will also be well prepared for research at the highest level in the numerous groups now developing quantum technologies and for work in government laboratories.
Employability
Graduates will possess the skills needed to work in the emerging quantum industries as they develop in response to technological advances.
UCL offers one of the leading research programmes in quantum technologies anywhere in the world, as well as outstanding taught programmes in the subjects contributing to the field (including physics, computer science, and engineering). It also hosts the EPSRC Centre for Doctoral Training in Delivering Quantum Technologies.
The programme provides a rigorous grounding across the disciplines underlying quantum technologies, as well as the chance to work with some of the world's leading groups in research projects. The new Quantum Science and Technology Institute ('UCLQ') provides an umbrella where all those working in the field can meet and share ideas, including regular seminars, networking events and opportunities to interact with commercial and government partners.
Develop your skills and enhance your career prospects with a masters degree in Cybersecurity and Artificial Intelligence
Department of Life Sciences – a leading international centre for research and training in ecology, evolution, conservation and the environment
Study Computer Science, Mathematics and Nuclear Education at a world-class university
Edinburgh College of Art: Postgrad study in Art, Design, Architecture, Music, History of Art
