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MA Communication Design at Falmouth is a transformative, intensive studio based course, enabling you to develop your individual critical voice in communication design. Read more
MA Communication Design at Falmouth is a transformative, intensive studio based course, enabling you to develop your individual critical voice in communication design. The course prepares you for the demands of a rapidly changing, complex media world, where the ability to create meaningful and effective ideas is paramount.

Benefits:
- Learn from leading global design provocateurs and teachers in project challenges and study set
- Gain commercial experience through internships
- Work in a multi-million pound studio environment that mirrors leading contemporary design studios
- Specialist skills training, relevant for your project interests
- Final semester London show
- Digital final exhibition for global recognition and launch

Visit the website https://www.falmouth.ac.uk/communication-design-ma

How the course is taught

The course is structured over 45 weeks, across three semesters: deconstruction, reconstruction and reinvention.

You'll be in the studio most weekdays working on outcomes rooted in design process and the development of meaningful and innovative ideas. The experience is designed to be supportive yet provocative, so you can take your ideas and practice into new and exciting realms, that challenge you and the wider communications world.

Your learning is delivered across a mixture of set lectures, tutorials, workshops, and peer and tutor review.

Contact hours vary across the course, being most intensive during the first two semesters, with more self directed study as you develop your final project in the third semester. We expect some students to be away at points during the final semester, either working on research and project feedback, or attending internships.

Course outline

The course prioritises fresh and fearless thinking, developing students who see no boundaries to their work, curious to engage and discover while pursuing the highest level of innovation in communication design.

You'll gain an understanding of the global framework of communication design, and an approach to design process that delivers great ideas across diverse media platforms.

Mirroring the success of longstanding programmes at our School of Communication Design, you'll benefit from frequent industry contact, enabling you to stretch and question your practice, gaining inspiration from within and beyond your immediate boundaries.

Attracting a range of applicants, the course prepares you for independent or studio practice, in the applied creative industries, broader arts, or further academic research.

Our priority is to encourage your development by distilling and building your creative voice and ambition. We do so via three semesters, deconstruction, reconstruction and reinvention, with project outcomes mirroring a design process structure.

What you'll do

Semester 1: Deconstruction
- MACD 101: Process
(20 credits)
This module introduces the components of design process in relation to your own personal practice. Through provocation and critical debate you'll reflect on and challenge what you do, seeing how global, experiential and experimental insights can generate the most appropriate process models for a contemporary communications problem.

- MACD 102: Intersections
(20 credits)
This module examines the fundamental components to the production of design: human interaction and collaboration. Whether this interaction is between client and designer, object and user, or experience and emotion, it allows you to experience provocative challenges that hone your own standpoint. You'll learn how social engagement, polar tension or friction can inspire new thinking.

- MACD 103: Boundaries
(20 credits)
This module allows you to take more radical entry points into your understanding of practice; taking project interest into new forms or creating critical design response from more theorised or experimental catalysts.
Provocateurs will continue to challenge and stretch the limits of your enquiry, exploring new theoretical models and examining the debate of 'designer as author'; how works are translated or used; and how they or their work become the provocateur.

Semester 2: Reconstruction
- MACD 104: Curate and build
(40 credits)
You'll deep dive into your emergent interests, exploring how technology and an increasingly complex consumer and cultural landscape may effect your enquiry. Thinking by doing, you'll elect and develop skill sets and a depth of study in both practice and theory. With the module running across the whole semester, it allows you to fully prepare and test ideas and craft, sectors and media as you begin to prepare your main MA project.

- MACD 105: Compete
(20 credits)
Ahead of the final semester, you'll begin to look at avenues and insights for your own practice and from a business or funding perspective. You'll build professional skills relevant to individual need and examine components of design development including publishing, presentations, production and IP.

The module will also examine other methodologies of delivering work around the world, whether through commission or employment, working in known fields of the creative industries or with museums, arts organisations or universities and research bodies.
Student will also engage in competitive projects set by external bodies.

Semester 3: Reinvention
- MACD 106, MA project
(60 credits)
This module allows you to realise your final major project, in a largely self directed semester, bringing together practice, theory and an evaluation phase that provides reflection and potential industry or funding opportunities to be negotiated ahead of graduating.

The first phase leads to exhibiting at a key industry or cultural event, with an interim show. The second sees you gather insights, industry or critical feedback, or undertake an internship, or preparing for the launch of your project. This final phase sees the production of an essay or strategic report, depending on future plans.

Facilities

- Dedicated MA studio space
- Lecture theatres, design lab, break out spaces and meeting rooms
- Digital printing facilities, Risograph machine, woodblock printing and presses, workshop and negotiated access to screen-printing studios
- Apple suite, with Adobe CS and full collection of Monotype typefaces
- Extensive library facilities and digital collections
- Negotiated use of other facilities such as film, photographic, textiles and product design studios

Staff

You'll be taught by staff with backgrounds spanning design, academic, writing and research careers. They offer decades of experience teaching and working for leading studios, working with international clients, arts and cultural organisations, exhibiting and publishing work and research. They are enaged with many of the world's top creative universities and organisations as keynote speakers, external examiners and consultants. Overall they are all inspired by design, teaching, nurturing and encouraging great and motivated students.

Assessment

- Individual project briefs
- Design research journal
- Essay
- Oral presentations, individually and in groups
- Critical review or business plan

Careers

Communication design is a broad field of study, with career choices depending largely on your own personal project focus.

Options include:

- Graphic design
- Advertising
- Packaging and brand design
- Service design
- Photography and film
- Type design or illustration
- Editorial design
- Motion graphics, interactive or digital design
- Information or UX design
- Design criticism and writing
- Teaching, research or PhD study
- Allied fields: television, the heritage sector or exhibition design

Interview and selection process

Please apply via submission of an application form, an outline of your key interest or masters proposal and a portfolio. Details about our portfolio requirements can be found on the application form.

Interviews are held in person at the School, online via Skype or by phone.

Find out how to apply here - https://myfalmouth.falmouth.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=MACODEFC_SEP&code2=0001

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This course is for designers who want to pursue their passion for particular areas of design, at an advanced level and with professional support. Read more
This course is for designers who want to pursue their passion for particular areas of design, at an advanced level and with professional support.

Course overview

This Masters is built around your personal design interests and aspirations. It allows you to push the boundaries of creativity, within a framework of academic rigour and contextual research.

You can choose to study any of the following areas:
-Advertising
-Animation
-Calligraphy and lettering
-Creative computational design
-Design thinking, innovation and ideation
-Design leadership
-Fashion, product and promotion
-Graphic communication
-Graphic design
-Illustration
-Interactive media
-Motion graphics
-Typographic design

Other specialised design disciplines will also be considered. Our specialist tutors will work with you as you create a portfolio of creative designs that will excite and impress potential employers.

The course includes a theoretical element which contextualises your chosen areas of study within the broader field of design.
By the end of the course, you will have completed a major project that has evolved from your practice and research. The project will be supported by a critical evaluation report.

At Masters level, the specialisms of tutors are an important factor. Our Department offers a wide range of research expertise within design. For example, we host the International Research Centre for Calligraphy (IRCC) which promotes and supports the development of calligraphy both nationally and internationally. We have excellent engagement with industry, locally, nationally and internationally and have several academic partners overseas including Hong Kong, Malaysia and the USA.

Graduates from Sunderland have gone on to work throughout the design industry around the world. A Masters qualification not only opens doors in the workplace but also helps you progress more rapidly once your career is underway.

This course can also be taken part time - for more information, please view this web-page: http://www.sunderland.ac.uk/courses/artsdesignandmedia/postgraduate/design-part-time/

Course content

The content of the course is shaped by your personal interests with guidance and inspiration from Sunderland's supportive tutors and industry speakers and visits.

Modules on this course include:
-Design Studies 1 (60 Credits)
-Design Studies 2 (60 Credits)
-Design Studies 3 (60 Credits)

Teaching and assessment

Compared to an undergraduate course, you will find that this MA Design programme requires a higher level of independent working. The course aims to stretch your creativity and maximise your sense of personal fulfilment.

We use a wide variety of teaching and learning methods, which include lectures, seminars, critiques, workshops and practical demonstrations. These are supported by a range of guest speakers from diverse academic and industry backgrounds. You will also have high levels of contact with tutors who give regular feedback and support.

Facilities & location

Our Design Centre allows you to develop your creativity while taking advantage of state-of-the-art facilities and, importantly, your own workspace. We provide well-equipped facilities and industry-standard design software so it's easy to make a seamless transition from your studies to the workplace. The Design Centre also attracts international exhibitions and conferences, and it provides a highly stimulating environment.

Facilities at the University include:
-Five computer suites incorporating the latest Mac Pros
-Digital design suites using industry standard software like Adobe Creative Suite, Maya and Toon Boom
-Digital SLR and HD video cameras
-Fully equipped Photography studio
-Fully equipped printmaking studio
-Laser cutting machine
-Large format colour printers
-Access to 3D printers and scanners
-Large format digital fabric printer and full garment design and making facilities

Arts and Design Library
Our Arts and Design Library has a specialist collection of over 120,000 books, videos, slides and one of the largest electronic information networks in the sector.

Journals and research
We subscribe to a comprehensive range of print and electronic journals so you can access the most reliable and up-to-date articles. Some of the most important sources for your course include:
-Art Full Text + Art Abstracts, which is a major resource for media and arts information
-Design and Applied Arts Index, which covers journals featuring both new designers and the development of design and the applied arts since the mid-19th century
-British Universities Film and Video Council (BUFVC), which provides resources for the production, study and use of film and related media
-JSTOR (short for ‘Journal Storage’), which provides access to important journals across the humanities, social sciences and sciences
-Lexis, which provides access to legal information as well as full-text newspaper articles
-Screen Online (BFI), which is an online encyclopaedia of British film and television, featuring clips from the vast collections of the BFI National Archive

Employment & careers

Postgraduates are highly employable and, on average, earn more than individuals whose highest qualification is an undergraduate degree. On completing this course, you will be equipped for roles throughout the creative industries.

Potential roles include animator, graphic designer, illustrator, calligrapher, lettering designer, typographic designer, interactive designer, lecturer or broad-based designer.

A Masters degree will also enhance career opportunities within Higher Education and prepare you for further postgraduate studies, such as MPhil or PhDs.

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The MSt in the History of Design is a taught Master's Degree offered part-time over two years. A tea cup, be it hand-painted porcelain, studio pottery or mass produced ceramic, offers a glimpse of the rituals of everyday life and historical experience. Read more
The MSt in the History of Design is a taught Master's Degree offered part-time over two years.

A tea cup, be it hand-painted porcelain, studio pottery or mass produced ceramic, offers a glimpse of the rituals of everyday life and historical experience. A designed object or space reflects the individual, the society for which it was created, as well as its creator. It expresses aesthetic preoccupations and articulates historical and political conditions. Decoration challenges the hierarchies and contested inter-relationships between the disciplines and careers of artists, designers, crafts workers, gardeners, and architects. Such concerns reside at the heart of the study of the history of design.

This history of design course is taught on nine monthly Saturdays and one residential weekend per annum. The syllabus focuses particularly on the period from 1851 to 1951 in Europe (including Britain) and America. Combining close visual and material analysis with historical methodologies, the course explores decorative and applied art, the design of interiors and public spaces, and for performance and industry.

There will be two Open Mornings, on one Saturday in November 2016 11am - 12.30pm and on one Saturday in February 2017 11am - 12.30pm, where you can meet the Course Director, Dr Claire O'Mahony, and learn more about the course. Please contact usl if you would like to attend including which day you prefer: .

Visit the website https://www.conted.ox.ac.uk/about/mst-in-the-history-of-design

Description

Core themes of the History of Design course will include the rivalries between historicism and modernity; internationalist and nationalist tendencies; handicraft and industrial processes, as well as the analysis of critical debates about the makers and audiences of decoration in advice literature and aesthetic writing.

The programme aims to provide students with a framework of interpretative skills useful to understanding design. It provides grounding in the analysis of the techniques and materials deployed in creating objects or sites. It enables students to develop a grasp of historical context, encompassing the impact of the hierarchies within, and audiences for, the critical reception of 'decoration'. It encourages the analysis of the historiography of political and aesthetic debates articulated by designers, critics and historians about design, its forms and purposes.

Teaching and learning takes a variety of forms in this programme. In keeping with the Oxford ethos, individual tutorials and supervisions will be an important of the course, particularly whilst researching the dissertation, whilst earlier stages of the programme principally take the form of seminar group discussion, lectures and independent study. First-hand visual analysis is an essential component of the discipline of the history of design. As such each course element of the programme includes site visits, both to Oxford University's unique museum and library collections, and to those nearby in London and the regions. Formal assessment is by means of analytical essay and dissertation writing, complemented by informal assessment methods including a portfolio of research skills tasks and an oral presentation about each candidate's dissertation topic.

The monthly format of the programme should enable applicants who are employed or have caring duties to undertake postgraduate study, given they have a determined commitment to study and to undertake independent research.

The University of Oxford offers a uniquely rich programme of lectures and research seminars relevant to the study of Design History. Research specialisms particularly well represented in the Department for Continuing Education are:

- Art Nouveau and Modern French Decoration
- Modernist Design and Architecture
- The Arts and Crafts Movement
- Garden History
- The Art of the Book
- Ecclesiastical Architecture and Design

As a discipline Design History is well represented in conferences organised and academic journals and books published by The Design History Society; the Association of Art Historians; AHRC Centre for the Historic Interior at the Victoria and Albert Museum; the Modern Interior Centre at Kingston University; The Twentieth Century Society; The Garden History Society; The Textile History Society; The Wallpaper Society, The Societe des Dix-Neuviemistes.

Graduate destinations

Future research and career paths might be a DPhil programme; creative industries; museum curatorship; the art market; teaching; arts publishing.

Programme details

- Course structure
The MSt is a part-time course over two years with one residential weekend per annum. Each year comprises nine Saturdays (monthly; three in each of the three terms in the academic year) students will also have fortnightly individual tutorials and undertake research in reference libraries in Oxford between these monthly meetings. The course is designed for the needs of students wishing to study part-time, including those who are in full-time employment but will require 15 to 20 hours of study per week.

- Course content and timetable
The course is based at Rewley House, 1 Wellington Square, Oxford OX1 2JA. Some classes may take place at other venues in Oxford. Class details, reading lists and information about any field trips will be supplied when you have taken up your place.

Core Courses

- Materials and Techniques of Design
- Historical Methods
- Research Project in the History of Modern Design
- Dissertation

Options Courses

- Decoration in Modern France
- The Arts and Crafts Tradition in Modern Britain
- Design in the Machine Age
- Design, Body, Environment
- Visual Cultures of the World Wars
- Academic Writing and Contemporary Practice

Course aims

The MSt was devised with the aim of providing effective postgraduate-level education in history of design on a part-time basis in which case it should be possible to participate fully in the programme while remaining in full-time employment.

The programme aims to provide students with skills:

- To develop further their critical understanding of the principles and practice of the history of design

- To enhance their subject knowledge, analytical and communication skills needed for professional involvement in the history of design

- To demonstrate a grasp of primary evidence to build on their critical understanding of the types of evidence used in the historical study of designed objects and sites and how they are selected and interpreted

- To build on the appropriate skills and concepts for analysing material objects and textural sources

- To enable the student to undertake their own research to be presented in essays, oral presentations and as a dissertation

- To demonstrate an understanding of primary evidence and secondary sources through the application of appropriate analytical skills and concepts within a research context resulting in a dissertation.

Find out how to apply here - http://www.ox.ac.uk/admissions/graduate/applying-to-oxford

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Programme description. Design Informatics combines Data Science with Design Thinking in a context of critical enquiry and speculation. Read more

Programme description

Design Informatics combines Data Science with Design Thinking in a context of critical enquiry and speculation. We build a value-aware, reflective practice at the interface between data and society by combining theory and research with an open-ended process of making and hacking.

Human activity is being constantly shaped by the flow of data and the intelligences that process it, moving towards an algorithmically mediated society. Design Informatics asks how we can create products and services within this world, that learn and evolve, that are contextualised and humane. Beyond that, it asks questions about what things we should create, speculating about the different futures we might be building and the values behind them.

The central premise is that data is a medium for design: by shaping data, we shape the world around us. Data Science provides the groundwork for this, with Design Thinking underpinning reflective research through design. You will use this in working with the internet of things and physical computing, machine learning, speech and language technology, usable privacy and security, data ethics, blockchain technologies. You will connect technology with society, health, architecture, fashion, bio-design, craft, finance, tourism, and a host of other real world contexts, through case studies, individual, and collaborative projects. You will understand user experience in the wider socio-cultural context, through an agile programme of hacking, making and materialising new products and services.

Programme structure

Please be aware that the structure of the programme may change.

Throughout the programme, you will be working both individually and in teams of designers and computer scientists. Everyone will have to write code during the course, and everyone will have to make physical objects. Several courses, including the dissertation, will involve presenting the artefact, product, service, or interactive experience that you have created to the general public in a show.

In the first year, you will study:

  • Design Informatics: Histories and Futures
  • Data Science for Design (compulsory for MA/MFA, strongly recommended for MSc/ Advanced MSc)
  • Case Studies in Design Informatics 1
  • Design with Data
  • Design Informatics Project
  • 20 credits of elective courses

In Design with Data and Design Informatics Project, you are likely to work with an external partner, such as the Royal Bank of Scotland, Amazon, Edinburgh City Council, Royal Botanic Garden Edinburgh or the National Museum of Scotland.

MSc and MA students then undertake a dissertation in the summer before graduation.

MFA and Advanced MSc students take a summer placement with a relevant digital organisation then return for a second year of study, comprising:

  • Case Studies in Design Informatics 2
  • 60 credits of elective courses
  • A dissertation

Elective courses are drawn from the Masters Programmes of the School of Informatics, Edinburgh College of Art, and Philosophy, Psychology, and Language Sciences. Courses are typically 10 or 20 credits.


Career Opportunities

This degree will put you at the cutting edge of the intersection between data science, design, and information technology, opening a host of opportunities in working with companies, charities, and the public sector. We encourage entrepreneurship. For those who wish to stay in academia, the course provides a solid foundation for a PhD in related areas.



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The increased understanding and use of textiles as both a decorative and technical material has led to a rapid expansion of the industry into areas such as architecture and engineering. Read more
The increased understanding and use of textiles as both a decorative and technical material has led to a rapid expansion of the industry into areas such as architecture and engineering.

This merging of textiles technology and aesthetics is complex and requires designers who are able to converse with engineers and scientists, handling technical information as well as expressing conceptual design ideas.

Through established links with the DR-i (Design Research Initiative) and Brighton's School of Pharmacy and Biomolecular Sciences, this MA is designed to stimulate such diversity in textile design thinking. We are seeking talented students who are keen to push the boundaries and perception of what we understand textiles to be.

This course is suitable both for recent graduates interested in furthering their skills or exploring new areas and markets, and for experienced designers who want to challenge their practice in a creative environment.

Due to the open and explorative nature of the course, students from non-textiles backgrounds such as 3D craft design, fine art, materials development, engineering and science are welcome to bring a fresh viewpoint and build on their existing specialist knowledge.

Semester 1

The first semester is made up of three modules and serves as a foundation to your learning experience, imparting key research skills, exploration beyond your discipline and initial explorative practice-based enquiry.

• Practice-Based Enquiry (Part One)
Spanning semesters one and two, this module provides a reflective environment for rigorous explorative practice-based enquiry and the development of design concepts identified in the self-initiated project proposal submitted at interview. Increasingly informed by research and critical awareness skills developed in the supporting modules, you will explore and reflect on novel design concepts and the application of practice-based research methods. You will also be encouraged to engage with live research, industry contacts and collaborative projects.

• Research Skills and Training
Through a series of lectures and seminar groups with active researchers, you will explore the value of research within a practice-based design context. You will develop research skills and an understanding of different methodologies and how research can be used as a design tool.

• Options module
Placed in the first semester to maximise the potential areas of study, the options module takes advantage of the range of subjects and learning experiences available from across the college. This module allows you to tailor your study and learning experience to complement and inform your specific area of interest from an early stage. Learning alongside students from varied disciplines, you will be able to explore areas of personal interest from subjects including design history, sustainable design, professional practice, and historical and critical studies.

Semester 2

The second semester encourages you to explore diverse cross-disciplinary sources to inform and contextualise your research project before focusing on your final proposal.

• Practice-Based Enquiry (Part Two)
Continuing from initial explorations in Practice-Based Enquiry (Part One), you will develop an increasingly focused, reflective body of work that demonstrates applied research methodologies and an understanding of their position within a broader textiles and industry context. You will conclude the module with a final 500-word proposal to define the area of study that you will undertake in your thesis.

• Creative and Contextual Enquiry
Informed by the learning undertaken in semester one, you will critically engage with and reflect on your subject area, exploring diverse cross-disciplinary influences that inform your practice. Through the use of relevant research methods, this creative contextual enquiry will stimulate awareness and rigorous critical evaluation of cultural, technological and research debates, both within and outside of your discipline.

Semester 3

In the third semester, you will fully integrate your previous learning into the realisation of your thesis.

• Practice-Based Textile Design Thesis
During this self-directed module, you will put into practice the skills acquired throughout the programme of study, working towards the realisation of the final proposal submitted at the end of semester two. You are expected to rigorously explore and fully resolve a body of practice-based textile design inquiry, which should be positioned at the forefront of your academic or professional discipline and advance design thinking within your stated field.

The module contains planned lectures, group seminars and individual tutorials delivered by lecturers who are active researchers or innovative design practitioners. You will have access to a diverse range of lecture series and conferences held at the university as well as exhibitions and trade fairs relevant to your study.

You will have the opportunity to extend your skills through advanced textiles technology, working closely with expert technical demonstrators. Relevant placements or access to external study are negotiable on an individual basis, determined by the requirements of your proposal.

Facilities

Our facilities range from traditional hand looms, screen printing equipment and knitting resources to advanced industrial textile technologies, including a Mimaki TX2 digital printer, Dornier industrial 20 shaft electronic dobby, twin rapier Powerloom, TC1 Electronic Jacquard Loom and Shima Seiki industrial knitting machine. We also make use of Scotweave design software.

Other resources that you can use include a 3D body scanner, laser cutter, rapid prototyping machine, CNC router and plasma cutter, and 5 axis milling machine. You will have access to our facilities through specialist workshops in knitted, printed and woven textiles, which are run by a highly skilled team of technical demonstrators.

Careers and employability

Successful completion of the course signifies specialist and transferable skills in design and research, and will prepare you for work across the textiles and allied design industries. You could also choose to pursue research in the commercial sector or continue your studies at doctoral level.

Many graduates of the Textiles MA hold high-level design and trend forecasting positions at international companies including Abercrombie and Fitch, Donna Karan, DKNY, Burberry, Alexander McQueen, Cath Kidston, H&M, WGSN and Forpeople.

Others have forged independent careers in the industry, from establishing design labels such as Marchesa, (Keren Craig), Eley Kishimoto (Mark Eley) and Julien Macdonald to textile design studios and consultancies (Larch Rose and Woven Studios).

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This MSc teaches advanced analytical and computational skills for success in a data rich world. Read more
This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision.

Degree information

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Core modules
-Supervised Learning
-Statistical Modelling and Data Analysis
-Graphical Models or Probabilistic and Unsupervised Learning
Plus one of:
-Applied Bayesian Methods
-Statistical Design of Investigations
-Statistical Computing
-Statistical Inference

Optional modules - students select 60 credits from the following list:
-Advanced Topics in Machine Learning
-Affective Computing and Human-Robot Interaction
-Applied Bayesian Methods
-Approximate Inference and Learning in Probabilistic Models
-Computational Modelling for Biomedical Imaging
-Information Retrieval and Data Mining
-Machine Vision
-Selected Topics in Statistics
-Optimisation
-Statistical Design of Investigations
-Statistical Inference
-Statistical Natural Language Programming
-Stochastic Methods in Finance
-Stochastic Methods in Finance 2
-Advanced Topics in Statistics
-Mathematical Programming and Research Methods
-Intelligent Systems in Business

Dissertation/report
All MSc students undertake an independent research project, which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, discussions, practical sessions and project work. Student performance is assessed through unseen written examinations, coursework, practical application and the project assessment process.

Careers

There is a strong national and international demand for graduates with skills at the interface of traditional statistics and machine learning. Substantial sectors of UK industry, including leading, large companies already make extensive use of computational statistics and machine learning techniques in the course of their business activities. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include; finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.

Top career destinations for this degree:
-Statistical and Algorithm Analyst, Telemetry
-Decision Scientist, Everline
-Computer Vision Researcher, Slyce
-Data Scientist, YouGov
-Research Engineer, DeepMind

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. CSML graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our CSML graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning having coordinated the PASCAL European Network of Excellence.

Coupled with the internationally renowned Gatsby Computational Neuroscience and Machine Learning Unit, and UCL Statistical Science, this MSc programme draws on world-class research and teaching talents. The centre has excellent links with world-leading companies in internet technology, finance and related information areas.

The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided.

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If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you. The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning. Read more
If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you.

The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning.

PROGRAMME OVERVIEW

This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.

State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.

Students also have the chance to substantially expand their programming skills through projects they undertake.

PROGRAMME STRUCTURE

This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and a standard project.

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department of Electronic Engineering are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in Electronic Engineering, Physical Sciences, Mathematics, Computing and Communications, from the UK, Europe and overseas.
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

Intended capabilities for MSc graduates
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin computer vision, machine learning as well as how they can be related to robotics
-Be able to analyse problems within the field computer vision and more broadly in electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within computer vision, machine learning
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Technical characteristics of the pathway
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.

Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment. The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.

An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.

Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.

PROGRAMME LEARNING OUTCOMES

The Department's taught postgraduate programmes are designed to enhance the student's technical knowledge in the topics within the field that he/she has chosen to study, and to contribute to the Specific Learning Outcomes set down by the Institution of Engineering and Technology (IET) (which is the Professional Engineering body for electronic and electrical engineering) and to the General Learning Outcomes applicable to all university graduates.

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods

Time and resource management
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
-Relevant part of: Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

FACILITIES, EQUIPMENT AND SUPPORT

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).

CAREER PROSPECTS

Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
-Multimedia indexing and retrieval (Google, Microsoft, Apple)
-Motion capture (Foundry)
-Media production (BBC, Foundry)
-Medical Imaging (Siemens)
-Security and Defence (BAE, EADS, Qinetiq)
-Robotics (SSTL)

Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.

Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.

Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.

Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include:
-BAE Systems
-BT
-Philips
-Hewlett Packard
-Logica
-Lucent Technologies
-BBC
-Motorola
-NEC Technologies
-Nokia
-Nortel Networks
-Red Hat

INDUSTRIAL COLLABORATIONS

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
-Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
-A number of our academics offer MSc projects in collaboration with our industrial partners

RESEARCH PERSPECTIVES

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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The Laurea Magistrale (equivalent to a Master of Science) trains professionals with solid engineering foundations, a good scientific approach and a broad range of technical and applied contents. Read more

Mission and goals

The Laurea Magistrale (equivalent to a Master of Science) trains professionals with solid engineering foundations, a good scientific approach and a broad range of technical and applied contents. The level of cultural education is raised during the first year by broadening the knowledge of advanced analysis methods, which in the second year are applied in specialisation subjects and a thesis. The first year is offered in the Milano Bovisa and Lecco campuses with the same study plan (the first year is not available in the Piacenza campus, which offers only the second year). Students can choose different previously approved study plans (PSPA) in the second year. Some are offered in the Milano Bovisa campus (“Impianti e Produzione” [Production Plants and Production], “Meccatronica e Robotica” [Mechatronics and Robotics], “Metodi e Tecniche di Prototipazione Virtuale” [Methods and Techniques for Virtual Prototyping], “Motori e Turbomacchine” [Engines and Turbomachinery], “Progettazione” [Design], “Materiali e Tecnologie Innovative” [Materials and Innovative Technologies] and “Veicoli Terrestri” [Ground Vehicles]). Others are offered in the Lecco campus (“Mechanical Systems Design” and “Industrial Production”) and one in the Piacenza campus (“Macchine Utensili e Sistemi di Produzione” [Machine Tools and Production Systems]).

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mechanical-engineering/

Career opportunities

Graduates with a Laurea Magistrale (equivalent to a Master of Science) in Mechanical Engineering are technicians who can independently develop the functional, construction and energy-related aspects of innovative products, processes and systems in industry and in the advanced tertiary sector. On passing the State Professional Examination, Mechanical Engineering Graduates with a Laurea Magistrale (equivalent to a Master of Science) can ask to be included in the Register of Engineers (section A).

Presentation

See http://www.polinternational.polimi.it/uploads/media/Mechanical_Engineering_04.pdf
The MSc Programme in Mechanical Engineering – Ingegneria Meccanica provides an academically challenging exposure to modern issues in advanced Mechanical Engineering.
The educational goal of the MSc Programme is to train highly qualified engineers, capable of playing different roles in the job market, by providing them with sound scientific, economic and technical competences, together with broad practical and professional skills needed for a successful career in a technologically advanced and rapidly evolving society.
The specialist in Mechanical Engineering, being involved in the design, production process and operation of products and systems, needs to develop a strong interdisciplinary background in machine design, with respect to functional requirements, dynamic and structural analysis, propulsion and engine systems, fluid mechanics, material properties and selection, manufacturing processes and production systems, operation and management of industrial plants, experimental techniques, mechatronics and industrial automation. The programme is taught in English. http://www.ccsmecc.polimi.it/en

Subjects

The 1st year is organised in the following compulsory modules: Control and Actuating Devices for Mechanical Systems, Applied Metallurgy, Energy Systems, Nonconventional Machining Processes, Machine Design, Mechanical System Dynamics, Mechanical Measurements, Configuration and Management of Production Systems.

In the 2nd year students will have the possibility to specialize the training, by choosing among the following tracks:
Milano Bovisa Campus: Production Systems, Mechatronics and robotics, Virtual prototyping, Internal Combustion Engines and Turbomachinery, Advanced Mechanical Design, Advanced Materials and Technology, Ground Vehicles.
Lecco Campus: Mechanical Systems Design, Industrial Production.
Piacenza Campus: Machine Tools and Manufacturing Systems.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mechanical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mechanical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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This MSc programme offers you an advanced level of study in specific aspects of mechanical engineering which are in demand from industry. Read more
This MSc programme offers you an advanced level of study in specific aspects of mechanical engineering which are in demand from industry. It is an ideal bridging programme for those graduates seeking to register as a Chartered Engineer with the Institution of Mechanical Engineers.

Course details

You study the core modules in CAD/CAM and Product Development, Finite Element Methods and Machine Design and you select three additional modules from Automotive Engineering and Vehicle Design, Manufacturing Systems, Project Management and Enterprise, Supply Chain Management and Applied Continuum Mechanics.

Professional accreditation

Our MSc Mechanical Engineering is accredited to CEng level by the Institution of Mechanical Engineers under licence from the UK regulator, the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC).

The accredited Masters-level award will provide you with the underpinning knowledge, understanding and skills in preparation for your registration as a Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

What you study

For the Postgraduate Diploma (PgDip) award you must successfully complete 120 credits of taught modules. For an MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Core modules
-CAD/CAM and Product Developments
-Finite Element Methods
-Machine Design
-Practical Health and Safety Skills
-Project Management and Enterprise
-Research and Study Skills

And three optional modules
-Applied Continuum Mechanics
-Automotive Engineering and Vehicle Design
-Manufacturing Systems
-Supply Chain Management

MSc candidates
-Project

Modules offered may vary.

Teaching

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.

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

Employability

Mechanical engineers typically secure employment in structural engineering, research and development, automotive engineering and design, the aerospace industry, manufacturing, processing and chemical industries as well as management positions.

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The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain. Read more
The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.

Degree information

Students develop an understanding of the principles underlying the development and application of new techniques in this area, alongside an awareness of, and ability to analyse the range and scope of algorithms and approaches available, and design, develop and evaluate appropriate algorithms and methods for new problems and applications.

Students undertake modules to the value of 180 credits. The programme consists of two core modules (30 credits), six optional modules (90 credits) and a research project (60 credits).

Core modules
-Supervised Learning
-Either Graphical Models
OR
-Probabilistic and Unsupervised Learning

Optional modules
-Machine Vision
-Bioinformatics
-Information Retrieval and Data Mining
-Advanced Topics in Machine Learning
-Inverse Problems in Imaging
-Affective Computing and Human-Robot Interaction
-Approximate Inference and Learning in Probabilistic Models
-Applied Machine Learning
-Computational Modelling for Biomedical Imaging
-Programming and Mathematical Methods for Machine Learning
-Statistical Natural Language Programming
-Numerical Optimisation

Dissertation/report
All MSc students undertake an independent research project which culminates in a dissertation ( maximum length of 120 pages) in the form of a project report.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed though a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Graduates from this programme have an excellent employment record. Substantial sectors of UK industry, including leading, large companies already make extensive use of intelligent systems techniques in the course of their business activities, and the UK has a number of very successful developers and suppliers of the technology. Students also benefit from strong corporate and academic connections within the UCL Computer Science alumni network.

Graduates have machine learning research degrees in domains as diverse as robotics, music, psychology, bioinformatics at the universities of Basel, Cambridge, Edinburgh, Nairobi, Oxford and at UCL. Graduates have also found positions with multi national companies such as BAE Systems and BAE Detica.

Top career destinations for this degree:
-Software Engineer, Bisual
-PhD Computer Programming, Newcastle University
-Software Developer, Total Gas & Power
-Risk Analyst, National Bank of Greece
-Research Engineer, Xerox Research Centre India

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. Machine Learning graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and our Master's programmes have some of the highest employment rates and starting salaries.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

This MSc is one of the few leading Master's programmes entirely dedicated to machine learning. It combines a rigorous theoretical academic framework along with specific knowledge of a variety of application fields to fast-track your commercial career or to prepare for PhD research.

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The Master's programme focuses on research and innovation in different sectors, with an emphasis on practical activities of design, to enable students to develop their creativity, refining tools and knowledge through a targeted and structured approach. Read more
The Master's programme focuses on research and innovation in different sectors, with an emphasis on practical activities of design, to enable students to develop their creativity, refining tools and knowledge through a targeted and structured approach: the fundamentals of Interior design of cars, both technically and psychologically, emerging technologies, identifying layout and models of use of interior space, traditional materials and the latest generation, new trimmings, technologies and integrated platforms with a particular emphasis on interface design.

From a cultural perspective, the Master in Car Interior Design and User Experience covers subjects such as the history and trends of Car Interior Design and the study of perception. Students improve their skills and techniques in the visualization and communication of ideas, forms and concepts. The laboratory of communication occurs with the practice in the advanced levels of 2D and 3D Photoshop and other industry-specific programs. The environment of the cockpit is examined in all its functionality. The user and his needs are always at the center of the project proposal. This means improving and facilitating the driving of the vehicle, the passenger compartment comfort in all aspects (functional, aesthetic, sound, touch) and its security.

Much importance is given to human-machine interface. The important flow of visual information, sound messages or control actions through devices and controls located on the dashboard in front of the driver requires a careful and intelligent planning that facilitates the interaction between the driver and the car as a function of maximum driving safety.
Over the past decade, the heavy investments made by the most influential international car manufacturers have greatly contributed to the research and technological
development of the passenger that, in its evolution, has changed the real idea of the car, considered primarily for its aesthetics design in the past. comfort and aesthetics have become increasingly important as the range of devices and interfaces of the latest generation, together, offer the driver a unique mobility experience often conveyed through the philosophy of a brand.

The curriculum includes a study of the marketing strategy: user profile, market analysis. The student is measured with the reality in a series of professional workshops held with the support of companies in the industry.

The final project is the synthesis of all the experiences, where the laboratory results and knowledge merge together inthe design of the interior of a vehicle according to the brief provided by the industry partner.

The course is recognised by MIUR as Master Academic Level I.

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This degree mirrors the two-year Masters programme structure that is common in the USA, and is an ideal stepping stone to a PhD or a career in industry. Read more
This degree mirrors the two-year Masters programme structure that is common in the USA, and is an ideal stepping stone to a PhD or a career in industry.

The optional professional placement component gives you the opportunity to gain experience from working in industry, which cannot normally be offered by the standard technically-focused one-year Masters programme.

PROGRAMME OVERVIEW

The Electronic Engineering Euromasters programme is designed for electronic engineering graduates and professionals with an interest in gaining further qualifications in advanced, cutting-edge techniques and technologies. Current pathways offered include:
-Communications Networks and Software
-RF and Microwave Engineering
-Mobile Communications Systems
-Mobile and Satellite Communications
-Mobile Media Communications
-Computer Vision, Robotics and Machine Learning
-Satellite Communications Engineering
-Electronic Engineering
-Space Engineering
-Nanotechnology and Renewable Energy
-Medical Imaging

Please note that at applicant stage, it is necessary to apply for the Electronic Engineering (Euromasters). If you wish to specialise in one of the other pathways mentioned above, you can adjust your Euromaster programme accordingly on starting the course.

PROGRAMME STRUCTURE

This programme is studied full-time over 24 months and part-time over 60 months. It consists of ten taught modules and an extended project. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Digital Communications
-Digital Signal Processing A
-Object Oriented Design and C++
-RF and Microwave Fundamentals
-Nanoscience and Nanotechnology
-Space Dynamics and Missions
-Space Systems Design
-Antennas and Propagation
-Image Processing and Vision
-Fundamentals of Mobile Communications
-Principles of Telecommunications and Packet Networks
-Space Robotics and Autonomy
-Speech and Audio Processing and Recognition
-Satellite Communication Fundamentals
-Satellite Remote Sensing
-Molecular Electronics
-RF Systems and Circuit Design
-Internet of Things
-Nanofabrication and Characterisation
-Space Avionics
-Applied Mathematics for Communication Systems
-Data and Internet Networking
-Digital Design with VHDL
-Computer Vision and Pattern Recognition
-Mediacasting
-Semiconductor Devices and Optoelectronics
-AI and AI Programming
-Advanced Signal Processing
-Advanced Guidance, Navigation and Control
-Image and Video Compression
-Launch Vehicles and Propulsion
-Advanced Mobile Communication Systems
-Microwave Engineering Optional
-Nanoelectronics and Devices
-Network and Service Management and Control
-Operating Systems for Mobile Systems Programming
-Advanced Satellite Communication Techniques
-Nanophotonics Principles and Engineering
-Mobile Applications and Web Services
-Spacecraft Structures and Mechanisms
-Space Environment and Protection
-Renewable Energy Technologies
-Engineering Professional Studies 1 (with industrial Placement)
-Engineering Professional Studies 1
-Engineering Professional Studies 2
-Extended Project

PARTNERS

The MSc Euromasters complies with the structure defined by the Bologna Agreement, and thus it is in harmony with the Masters programme formats adhered to in European universities. Consequently, it facilitates student exchanges with our partner universities in the Erasmus Exchange programme.

A number of bilateral partnerships exist with partner institutions at which students can undertake their project. Current partnerships held by the Department include the following:
-Brno University of Technology, Czech Republic
-University of Prague, Czech Republic
-Universität di Bologna, Italy
-Universität Politècnica de Catalunya, Barcelona, Spain
-Universita' degli Studi di Napoli Federico II, Italy

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in electronic engineering, physical sciences, mathematics, computing and communications, from the UK, Europe and overseas
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

A graduate from this MSc programme should:
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin electronic engineering
-Be able to analyse problems within the field of electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within electronic engineering
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Enhanced capabilities of MSc (Euromasters) graduates:
-Demonstrate transferable skills such as problem solving, analysis and critical interpretation of data, through the undertaking of the extended 90-credit project
-Know how to take into account constraints such as environmental and sustainability limitations, health and safety and risk assessment
-Have gained comprehensive understanding of design processes
-Understand customer and user needs, including aesthetics, ergonomics and usability
-Have acquired experience in producing an innovative design
-Appreciate the need to identify and manage cost drivers
-Have become familiar with the design process and the methodology of evaluating outcomes
-Have acquired knowledge and understanding of management and business practices
-Have gained the ability to evaluate risks, including commercial risks
-Understand current engineering practice and some appreciation of likely developments
-Have gained extensive understanding of a wide range of engineering materials/components
-Understand appropriate codes of practice and industry standards
-Have become aware of quality issues in the discipline

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Use of quantitative methods for problem solving. Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

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 degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

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 MSc Digital Architecture and Robotic Construction focuses on digital design methods and construction technologies in Architecture, Engineering and Design. Read more
The MSc Digital Architecture and Robotic Construction focuses on digital design methods and construction technologies in Architecture, Engineering and Design. It provides a scientific and practical foundation and gives an overview of latest developments in Advanced Modelling, Computational Design and Robotic Construction.

Digital technologies have altered the field of architecture and the architectural profession significantly – from design to production. In this context, the course combines the professional quality of an architectural qualification with the theory and practice behind the latest digital developments in the field.

You'll use computer-aided methods for design and study the construction and fabrication process in-depth. As part of the School of the Built Environment and Architecture, you'll work in a transdisciplinary environment where knowledge is shared. Architecture students are also able to work in our Architecture Design Studio, a dedicated studio space with views across the London landscape.

You'll be able to exploit LSBU's extensive industry connections during the course and your dissertation will be closely linked to practice. You'll be encouraged to work together with partners; an engineering company or another academic School within LSBU.

Visit the Digital Architecture and Robotics lab (DARLAB) website, where you can find more information about the facilities and the latest projects taking place

http://www.dar-lab.net/

Modules

Integrative technologies and robotic manufacturing
Advanced digital design techniques
Design project material behaviour
Design project adaptive systems and structures
Technology for building systems
Design research architectural project
Dissertation

Modules will be assessed by a mix of coursework and examinations.

Teaching and learning

The academic team are qualified experts from all over the world, with experience in working with avant-garde technologies to gain the best results in architecture and design. In addition, all are actively involved in research and consultancy, which enables staff to draw on the latest industry developments in both lectures and practical work. You'll enjoy guest lectures from world experts.

The course makes extensive use of DARLAB (Digital Architectural Robotics lab), a research platform in architectural education that advances experimentation and cross-discipline collaboration among professors, students and industry partners to expand the boundaries of architectural practice. The modules' contents are oriented toward integrated learning assignments. The course is delivered through lectures, seminars, projects and internships.

You'll be supported throughout your final project by your tutors and will have access to a range of e-learning materials.

Currently 50% of our full-time student cohort is from overseas. This allows our students to network across America, India, the Middle-East, Australia and Europe.

Placements

Staff use their professional connections to help students find work experience and job opportunities on graduation. All students will be involved in the construction of a large-scale pavilion in central London.

Professional links

The Digital Architecture and Robotics laboratory (DARLAB) partners with industry to provide solutions to their business problems and challenges that they currently face or expect to arise in the near future. We offer businesses a number of avenues for accessing our research expertise. We also undertake research projects for small and big businesses alike at competitive rates and where speed and confidentially are key requirements.

Partners Include:

• Hiteco: designers and manufacturers of high-tech machine components for machining wood, light alloys, plastic and composite materials.
• QDesign: a team of experts in engineering sciences. Their solutions offer a wide range of robotics plants applications and continuous software development.
• SCM Group: company world leader in the production of woodworking machinery and systems.
• CIMsystem: a leading provider of CAD/CAM technology and technological solutions with a worldwide technical and sales partner network.
• HAL: a Grasshopper plugin for industrial robots programming supporting ABB, KUKA and Universal Robots machines. Allows to simulate, program, control and monitor robotic cells.
• KUKA: pioneer in robotics and automation technology, one of the leading manufacturers of robotic systems worldwide.

Employability

The Master's program opens up various possibilities for professional development. You could go on to work in the area of architecture, building construction, engineering, interior or product design. You could also work as a specialist or consultant in the field of computational design and robotic construction.

The course could also lead on to a PhD or employment in engineering research.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

• Direct engagement from employers who come in to interview and talk to students
• Job Shop and on-campus recruitment agencies to help your job search
• Mentoring and work shadowing schemes.

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