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We're taking 3D visualisation beyond its existing boundaries. Traditionally recognised as exclusive to the games entertainment industry, we'll also give you the expertise to use 3D visualisation in a variety of other sectors around the world. Read more
We're taking 3D visualisation beyond its existing boundaries. Traditionally recognised as exclusive to the games entertainment industry, we'll also give you the expertise to use 3D visualisation in a variety of other sectors around the world.

We've created this course so that busy professionals can benefit from developing interactive 3D visualisation skills in the space of just a few months. You might be an architect, product designer, web developer, engineer, or games designer, working behind a drawing board or in the studio.

We're dedicated to ensuring our course is relevant to your job - that's why we provide you with a learning environment that allows you to adapt and develop projects you are already working on in your current role.

You could be creating an interactive 3D visualisation of a building enabling viewers to walk through; developing a virtual product to showcase on the internet; building characters for an interactive game; or creating 3D analysis to help show complex business data. The possibilities are endless.

Whether it's helping archaeologists visualise and bring a site to life, assisting councils on new buildings and developments, or allowing surgeons to explain an operation to a patient, 3D visualisation and its potential for interaction is now a powerful tool across many industries.

You'll build your skills in 3D modelling - both constructional and organic - lighting, camera techniques, rendering, material application, animation and editing, learning how to adapt existing software and understand how different software interact with each other.

You'll also meet like-minded students from different industries, allowing you to debate current issues and realise the potential for 3D visualisation and interactive environments skills across many sectors. You'll join students from different professional environments, share ideas and benefit from alternative insights.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science

Visit the website http://courses.leedsbeckett.ac.uk/3D_visualisation

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

From creating a 3D visualisation for a salesperson to pitch, or an opportunity for a customer to interact with a product before they buy, your skillset will enable you to make an impact across different sectors of industry. You could get involved in medical imaging and simulation, games prototyping, architectural and archaeological visualisation and walk throughs, advertising, virtual environments, educational material, or scientific research. Your expertise in interactive 3D visualisation will open up a number of doors.

- Architecture
- Engineering
- Games entertainment
- Product development

Careers Advice:
Our dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers service - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

The diversity of our teaching team is testimony to the increasing opportunities that interactive 3D visualisation offers. You'll benefit from the experience of designers, technologists, engineers, high-profile digital artists like Rory McLeish, and visual effects and compositing experts.

Another stand-out feature of our course is the opportunity to enhance your expertise in interactive 3D visualisation within such a short space of time. It's ideal if you're a busy professional looking to progress your skills without having to commit to years of study.

Library

Our award-winning libraries are always there when you need them - they are two of the only university libraries in the UK open 24/7 every day of the year.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This programme is the first taught Masters programme in medical visualisation in the UK. Offered jointly by the University of Glasgow and the Glasgow School of Art, it combines actual cadaveric dissection with 3D digital reconstruction, interaction and visualisation. Read more
This programme is the first taught Masters programme in medical visualisation in the UK. Offered jointly by the University of Glasgow and the Glasgow School of Art, it combines actual cadaveric dissection with 3D digital reconstruction, interaction and visualisation.

Why this programme

-You will examine human anatomy and reconstruct it in a real-time 3D environment for use in education, simulation, and training.
-You will have access to the largest stereo 3D lab in Europe, and its state-of-the-art facilities such as laser scanner (for 3D data acquisition), stereo 3D projection, full body motion capture system, haptic devices and ambisonic sound.
-You will also have access to the Laboratory of Human Anatomy at the University of Glasgow, one of the largest in Europe.
-The programme has excellent industry connections through research and commercial projects and there are possible internship opportunities. You will benefit from guest lectures by practitioners, researchers and experts from industry.
-This programme is accredited by the Institute of Medical Illustrators.

Programme structure

You will split your time between the Glasgow School of Art (Digital Design Studio) and the University of Glasgow (Laboratory of Human Anatomy). The programme is structured into three stages.

Stage One: digital technologies applied to medical visualisation (delivered by the Digital Design Studio at the Glasgow School of Art)
Core courses
-3D modelling and animation
-Applications in medical visualisation
-Volumetric and 3D surface visualisation
-Core research skills for postgraduates.

Stage Two: human anatomy (delivered by the Laboratory of Human Anatomy at the University of Glasgow).
Core courses
-Introduction to anatomy
-Structure and function of the human body
-Cadaveric dissection techniques.

In Stage Three you will complete a self-directed final project, supported throughout with individual supervision.

Career prospects

Career opportunities exist within the commercial healthcare device manufacturer, the public and private healthcare sectors, as well as in academic medical visualisation research. Students with medical, biomedical, anatomy, or health professional backgrounds will be able to gain 3D visualisation skills that will enhance their portfolio of abilities; students with computer science or 3D graphics background will be involved in the design and development of healthcare related products through digital technology, eg diagnostic and clinical applications, creating content involving medical visualisation, simulation, cardiac pacemakers, and biomechanically related products for implantation, such as knee, hip and shoulder joint replacements.

Here are some examples of roles and companies for our graduates:
-Interns and Clinical Assistants at Toshiba Medical Visualisation Systems
-Research Prosector (GU)
-3D printing industry
-Demonstrators in Anatomy
-PhD studies - medical history, medical visualisation
-Medical School
-Dental School

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While the rate of deterioration and disappearance of heritage sites has accelerated due to acceleration of human progress, major technological breakthroughs have occurred to enable digital preservation, i.e. Read more
While the rate of deterioration and disappearance of heritage sites has accelerated due to acceleration of human progress, major technological breakthroughs have occurred to enable digital preservation, i.e. 3D digital capture has been developed allowing high definition, high accuracy, and high productivity associated with digital documentation. This technology has been adopted worldwide and over 3,000 international service providers are available to deploy this technology to facilitate the preservation of heritage sites. In addition, major innovations in digital image processing, 3D modelling software, broadband access, and computer hardware capabilities have allowed worldwide public access to voluminous data and information systems including 3D visualisation.

The

MSc in Visualisation (International Heritage)

is a specialist pathway in the realm of 3D visualisation at DDS. This course aims to develop the knowledge and skill sets required to deliver and conduct digital preservation of world heritage sites and to create a unique opportunity to combine architecture and heritage with state of the art digital technologies, including 3D laser scanning, digital reconstruction of historic sites and artefacts, interaction and visualisation using virtual reality facilities. It allows an ideal opportunity for documentation, maintenance, and preservation of significant cultural sites and physical heritage assets, and to reconstruct them in a real-time 3D environment for use in tourism, art, education, entertainment and science.

This pathway will enable students to understand the process of creating original 3D datasets of cultural objects and sites, to reconstruct and present immersive visualisation with interactive narratives and provide a novel approach to foster multi-disciplinary study in computer science, history, geography, culture study, archaeology, architecture, the build environment, art and design and tourist management.

The programme aims to develop the knowledge and skill sets required to deliver and conduct digital preservation of world heritage sites and to create a unique opportunity to combine architecture and heritage with state of the art digital technologies, including 3D laser scanning, digital reconstruction of historic sties and artefacts, interaction and visualisation using virtual reality facilities. It allows an ideal opportunity for documentation, maintenance and preservation of significant cultural sites and physical heritage assets, and the ability to reconstruct them in a real-time 3D environment for use in tourism, art, education, entertainment and science.

The International Heritage pathway emerged as a result of successful strategic research collaborations between the DDS and a number of partners in cultural heritage. DDS has several long-term partnerships with industry and governmental organisations and a world-leading portfolio of work. DDS and Historic Scotland have formed the Centre for Digital Documentation and Visualisation (CDDV) which specialises in the precise documentation and 3D representation of heritage objects, architecture and environments using state of the art, high resolution laser scanning technology and 3D visualisation software. The CDDV promotes and celebrates Scotland’s cultural heritage at home and abroad and enhance Scotland’s reputation for developing world class and innovative research and development. It is delivering the digital documentation of the five Scottish UNESCO World Heritage Sites and five International Heritage Sites in a five-year project known as the Scottish Ten.

The MSc in Visualisation (International Heritage) provides a high level taught programme to those emerging from a wide range of disciplines. This places graduates in a leading global competitive position to advance in research, academia, governmental and commercial organisations, gaining a greater understanding of techniques that may assist in digital heritage practices.

Although just one intake per year in September, students can attend this programme on a part-time basis.
A number of Scottish Funding Council Fee Waivers are available for this programme.

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The hunger for the digital visualisation of architecture and urban environments has grown exponentially in both the Architectural and Film Industries. Read more
The hunger for the digital visualisation of architecture and urban environments has grown exponentially in both the Architectural and Film Industries. As the need for skilled modellers and animators with an awareness of architectural, as well as cinematic, issues increases in both Architecture and Film, the MA in Architectural Visualisation builds on the connections between these two industries. This MA programme develops skills to communicate architecture and urbanity for a variety of applications and audiences.

The MA in Architectural Visualisation is jointly taught by Kent School of Architecture (http://www.kent.ac.uk/architecture/) and the School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/).

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting new field of digital media. The School was established over 40 years ago and has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

Kent School of Architecture is a young school that has built an excellent reputation, based on high quality teaching and excellent resources. For architecture graduate employment prospects, Kent was ranked 6th in the UK in The Times Good University Guide 2014 and 7th in the UK in The Guardian University Guide 2015.

Visit the website https://www.kent.ac.uk/courses/postgraduate/245/architectural-visualisation

Course structure

The MA in Architectural Visualisation is jointly taught by Kent School of Architecture and the School of Engineering and Digital Arts. Building on the successful Master's programmes in Computer Animation and Digital Visual Effects, this MA enables students to develop at an advanced level the skills, knowledge and understanding of digital simulation and 3D modelling which will equip them to become highly skilled professionals in architectural visualisation.

Drawing influence from both architecture and film, this programme offers a progression route into both industries, highlighting the different requirements needed for each profession while exploring the similarities of these markets. In this programme, the professions of architecture, film and animation fuse together, providing students with the ability and understanding to work in each or all of them.

Modules

Stage 1
AR821 - Film and Architecture (15 credits)
AR822 - Virtual Cities (30 credits)
AR823 - Digital Architecture (15 credits)
AR846 - Architectural Photography (15 credits)
EL837 - Professional Group Work (15 credits)
EL868 - High Definition Compositing (15 credits)
EL869 - Film and Video Production (15 credits)
Stage 2
Either
EL870 - Visual Effects Project (60 credits)
OR
AR845 - Independent Research Project (60 credits)

Assessment

Modules are taught over three terms, concluding with a Major Project Visualisation, which accounts for one third of the programme. The content of the visualisation is agreed with programme staff and you build a showreel to a professional standard. Each module is assessed by practical assignments. The project work is assessed on the outcome of the project itself.

Programme aims

This programme aims to:

- enable you to develop advanced level skills, knowledge and understanding of digital simulation and 3D modelling, which will equip you to become a highly skilled professional in architectural visualisation

- train you in the requirements and skills needed for work in high definition

- produce professionally-trained architectural visualisers who are highly skilled in using state-of-the-art 3D modelling and visual effects software

- provide proper academic guidance and welfare support for all students

- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential.

Research areas

- Digital Media

The Digital Media group is a multidisciplinary group with interests in many areas including social computing (eg, social networking, computer mediated communication), mobile/ubiquitous computing, human-computer interaction and digital arts (eg, computer games, 3D animation, digital film). Our work is applied across a wide range of domains including e-health, cultural heritage and cyber influence/identity.

Current research themes include:

- interface/interaction design and human-computer interaction
- cyber behaviour/influence
- social computing and sociability design
- natural user interfaces
- virtual worlds
- online communities and computer-mediated communication
- mobile applications
- digital film-making and post-production.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers seek, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications. Read more
This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications.

With recent developments in digital technology, society has entered the era of ‘Big Data’. However, the explosion and wealth of available data gives rise to new challenges and opportunities in all disciplines – from science and engineering to biology and business.

A major focus is on the need to take advantage of an unprecedented volume of data in order to acquire further insights and knowledge.

The flexibility of this course makes it particularly suitable for students in employment.

See the website http://www.brookes.ac.uk/courses/postgraduate/data-visualisation-and-modelling/

Why choose this course?

- A flexible approach to study enables participants to complete the Postgraduate Certificate course in between 1 and 5 years (part-time).

- Use of SPSS.

- A course designed to increase employability in a high-demand field of work.

- Develop your critical skills in the application of visualisation techniques for understanding and presenting the results of analysis.

- Join a supportive and close-knit community of teachers, support staff and learners.

This course in detail

Advanced Statistical Modelling - This module introduces a broad class of linear and non-linear statistical models and the principles of statistical inference to a variety of commonly encountered data analysis problems. The software package SPSS will be used as a tool for statistical analysis with the goal of enabling students to develop their critical thinking and analytical skills. The emphasis, however, is very much on the practical aspect of the methodology and techniques with the theoretical basis kept at a minimum level.

Modelling and Data Analysis using MATLAB - This module gives depth of knowledge in advanced modelling techniques and breadth of analysis by virtue of its general application to any field of engineering and data analysis. In this module students learn to build computer models, present and analyse data using the facilities of MATLAB. Some mathematics is taught as relevant to data interpolation, optimisation and/or choosing solvers for models featuring differential equations.

Data Visualisation and Applications - This module provides a general but broad grounding in the principles of data visualisation and its applications. It covers an introduction to perception and the human visual system, design and evaluation of visualisation techniques, analysing, organising and presenting information visually, using appropriate techniques and visualisation systems.

Teaching and learning

The programme follows a supportive teaching and learning strategy based on active student engagement.

Modules offer a variety of teaching methods, and feature a selection of critical appraisal reports, the use of software applications for data analysis, presentations and case studies.

Learning methods include blended learning, formal lectures and problem solving practicals, but also guided independent learning, use of the virtual learning environment Moodle, independent research, software data analyses, and experiments.

Approach to assessment

Due to the data analysis and the interpretive nature of the course content, the high level industrial participation, and the authentic nature of the assessment, all modules are assed entirely by coursework which includes in-class tests. The assessment regime is selected according to what is appropriate for the material covered.

Attendance pattern

Students will study one twelve-week module per semester, attending campus one day per week for six weeks for each module. A typical module delivery structure is as follows.
- Face to face lectures will take place in weeks 2-5. Each face to face session is three hours, and there will be two face-to-face sessions per day.

- A two-hour class test and individual discussion of mini-projects will take place in week 6.

- An online surgery is available to support guided self-study in weeks 7-11.

- E-learning materials will be available throughout the semester as required on Moodle.

- Weekly exercises for formative feedback will be submitted into a drop box for each module.

- Mini-projects will be due at the end of week 12.

Careers

Currently, global demand for combined statistical, mathematics and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years.

For graduates in data visualisation and modelling this shortage presents opportunities to enhance career progression in one of the most crucial areas of modern science.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

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The Master of Science (M.Sc) in Medical Visualization is a new one-year taught postgraduate programme offered by the Digital Design Studio at The Glasgow School of Art in collaboration with the Laboratory of Human Anatomy, University of Glasgow. Read more
The Master of Science (M.Sc) in Medical Visualization is a new one-year taught postgraduate programme offered by the Digital Design Studio at The Glasgow School of Art in collaboration with the Laboratory of Human Anatomy, University of Glasgow.

The purpose of this programme is to create a unique opportunity to combine actual cadaveric dissection with 3D digital reconstruction, interaction and visualisation using state of the art virtual reality facilities. It allows a unique opportunity to examine human anatomy, and to reconstruct it in a real-time 3D environment for use in education, simulation, and training. This programme will enable students to create original medical datasets, allow a greater understanding of “normal” anatomy, regional variations, and provide a novel approach to aid multi-disciplinary fields in anatomical knowledge, understanding, training and skills transfer. With the demand from clinicians of anatomical knowledge of students increasing (as a result in changes to medical and dental curricula) this Masters programme provides an ideal opportunity for enhancement of research into human anatomy, diagnostics, simulation, and visualisation.

Students undertaking the

MSc in Medical Visualisation and Human Anatomy

programme will split their time equally between the University of Glasgow (Laboratory of Human Anatomy) and the Glasgow School of Art (Digital Design Studio). The programme is delivered as two core areas – digital technologies applied to medical visualisation (delivered by the Digital Design Studio at Stage 1) and human anatomy (delivered by the Laboratory of Human Anatomy at Stage 2). In Stage 3, students work towards a large-scale self directed final project, supported throughout by individual supervision.

Subsequent career opportunities exist within the commercial healthcare technology industry (device manufacturer, etc.), the public and private healthcare sectors, as well as in academic medical visualisation research. Career outcomes for the students with medical, biomedical, anatomy, or health professional backgrounds will be able to gain 3D visualisation skills that will enhance their portfolio of abilities; students with computer science or 3D graphics background will be involved in the design and development of healthcare related products through digital technology, e.g. diagnostic and clinical applications, creating content involving medical visualisation, simulation, cardiac pacemakers, and biomechanically related products for implantation, such as knee, hip and shoulder joint replacements.

Although just one intake per year in September, students can attend this programme on a part-time basis.

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The Spatial Data Science and Visualisation MRes teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Read more
The Spatial Data Science and Visualisation MRes teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and students in one of the most exciting, interdisciplinary research teams in the field, within The Bartlett, UCL’s Faculty of the Built Environment.

Degree information

Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation and virtual environments, and develop an understanding of research methodology and methods of data collection and analysis. Subject-specific courses provide students with the opportunity to develop skills in spatial analysis and to contribute to current debates in the field.

The programme consists of four core modules (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits). There are no optional modules on this programme.

Core modules
-Data Science for Spatial Systems
-Geographic Information Systems and Science
-Introduction to Programming
-Quantitative Methods
-Group Mini Project: Digital Visualisation
-Dissertation

Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and practical based workshops and classes. The interlinked laboratory research-based mini project with data collection focuses on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Assessment is through group and individual projects and the dissertation.

Careers

Research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions. Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Employability
The Spatial Data Science and Visualisation MRes offers a unique skillset in computation mapping, visualisation and spatial research, with recent graduates working at Ordnance Survey and the BBC, as well as a number continuing to PhDs. Through PhD partners, Knowledge Transfer Partnerships and substantial outreach, CASA is well-connected to the world outside academia.

Why study this degree at UCL?

The Centre for Advanced Spatial Analysis (CASA) is a research centre specialising in computer-based methods such as GIS, urban simulation, mapping, data visualisation, and and 3D environments in cities and space.

Graduates from our programme will have been exposed to a range of programming languages (Processing, R, Python and MySQL), 3D visualisation packages, and a substantive grounding in GIS, programming structure, mathematical methods and data design.

This combination of skills is unique – graduates from this programme will be leading the institutions and companies in new directions and changing cultures across the sector.

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Students completing this course will have an understanding of the fundamentals underpinning computing and its applications with a specialisation in the area of visualisation. Read more
Students completing this course will have an understanding of the fundamentals underpinning computing and its applications with a specialisation in the area of visualisation. You will be able to describe the operation of such software systems, apply the related principles into the implementation of properly engineered software, and understand the drivers for future trends.

Compulsory Modules:

Individual Project (60 credits)
Project Foundations and Management Tools
Information Visualisation
Computer Animation
Virtual Environments and Human Perception
Scientific Visualisation
Optional Modules:

Java Programming
Data Networks and Communications
AI and Agents
Technologies for Internet Systems
Distributed Systems

Researchers in the School are leaders in the field of visualisation, and are part of the Research Institute in Visual Computing (RIVIC), a collaborative amalgamation of research programmes between the computer science departments in Aberystwyth, Bangor, Cardiff and Swansea Universities. The School has many links with industry (e.g. IBM, EADS) and organisations (North Wales Police, MOD, DSTL). The job market for computer science students with specialist skills in visualisation encompasses all areas of the IT industry since the need for visualisation is fundamental.

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As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems. Read more

Why take this course?

As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems.

On this course, you will learn how to create rich and meaningful stories with data. We will study digital content in any mode, whether it is in alphanumeric form, binary, vector, pixel, video, or others. The designer provides an important interface, that allows us to explore data and generates meaningful communication. This communication is predominantly visual, but with developments in Wearables and the Internet of Things, is also becoming increasingly physical, affective, networked and interactive. Data Visualisation Design spans traditional graphic and information design, interaction design, information architecture, computational design, design thinking and user-centred and user experience design.

What will I experience?

On this course you can:

Learn the theory and practice of data visualisation, data, interface/interaction design and user experience, and apply this to your own design
Critically question the role of data related to the social, political, economic and cultural through contextual research
Explore live data sets from real world scenarios, such as industry or charities like the digital humanitarian network
Develop independent research and project ideas to create innovative, forward thinking design solutions and experiences for a digital and data driven world

What opportunities might it lead to?

The course will prepare you to work in the design disciplines of the creative industries, with a focus on data visualisation, information design, computational design, digital content, interactivity and user experience. Data Visualisation designers are in demand in sectors including business, research, health, education, government/public service, the arts.

The skills gained on this course can also be applied to employment in UI (user interface) design, or focus on interaction as a UX (User experience) designer. The critical and contextual outlook allows you to position yourself as a strategist and operate in a consultative manner. The research aspect of the course would also suit a career in compulsory, further and higher education.

Careers include:

Data Visualisation Design
Information Design
Digital Graphic Design
UI (user interface) / UX (user experience) design
Interaction design

Module Details

The course is offered over one year (full-time) or two years (part-time).

You will study five units, one of which is shared with other MA courses in the School of Art and Design. There will be preparatory units delivering a grounding in practical skills, theoretical context and academic research (competencies and skills). You will also study units that allow more thematic engagement with interactive and data driven design in terms of theory such as critical design, affordances, experience and complexity. It will also provide a unit oriented towards employability, and incorporate live briefs and group work. These units work to catalyse your own ideas and research direction for the Major Project unit.

Core units currently comprise:

A Question of Research
Fundamentals of Data and Interaction Design
Digital Futures – Themes and Issues in Practice
Design Solutions for Enterprise, Society and Culture
Major Project

Programme Details

The teaching combines interactive lectures and group seminar discussions with support through one-to-one tutorials. You also receive feedback on your work through friendly but critical peer review in group sessions with other students, members of faculty and other experts as appropriate. One of the units includes working as a team. Your project work emphasises self-initiated learning which gives you the freedom to explore the specialist area of your interest, while being helpfully guided by your supervisor. The curriculum is very closely related to the research areas in the department, so the staff have cutting edge knowledge of the field and its potential for innovation.

Your learning is mostly assessed through the submission of practical course work, such as digital prototypes, and the documentation of the learning journey in sketchbooks, diaries, blogs or journals.

This will be documenting contextual research as well as stages in practical experimentation and annotation of reflection. There are some written elements to be submitted as well, mostly accompanying proposals/reports to contextualise your practice. The assessment also includes individual and group presentations, this mode is also used to give you formative feedback on your work throughout.

Here's how we assess your work:

Digital artefacts / prototypes
Learning journals
Proposals
Reports
Oral presentation

Student Destinations

This course is an opportunity to focus your creative design practice on the interactive, data driven, user centred and culturally contextualised. It also enhances your design career by upgrading your skills and widening your knowledge and thinking in the digital arena, allowing you to stay one step ahead of the rest. The independent research aspect of the course prepares you for further education in terms of a research degree and employment in R&D and/or education.

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The course is aimed at graduates and professionals with a background in any area of 2 or 3 dimensional design. You will learn how to apply design visualisation techniques and strategies to areas such as product design, interior design, graphic design and various other specialisations. Read more

Summary

The course is aimed at graduates and professionals with a background in any area of 2 or 3 dimensional design. You will learn how to apply design visualisation techniques and strategies to areas such as product design, interior design, graphic design and various other specialisations. Students will evaluate, choose and apply relevant theories, concepts and techniques to the solution of design and the knowledge that underpins it.

Graduates from this course can use their acquired knowledge and skills in a variety of jobs including: design practice: in-house and consultancy; design entrepreneurship- self-employment; 3D design visualisation in interior design, architecture, product design, 3D virtual environments for games; education as teachers/lecturers of design-related topics.

This is a 45-week course divided into three 15 week trimesters. Each trimester is divided into a ten week structured programme followed by five weeks of independent learning and reflection.

Modules

The Postgraduate Certificate (PgCert) stage offers a choice of modules in which you will study Design Realisation which has a choice of project briefs from other MA programmes within the school, such as Interior or Product Design and Design Visualisation. Here you will complete a project showcasing your analogue and digital visualisation techniques, also exploring the potential of processes that are not totally dependent on digital technologies. These include evolutionary mock-ups, scenario enactment, physical modelling, two and three-dimensional collages and other animation techniques.

The Postgraduate Diploma (PgDip) stage offers a choice of modules such as Competition or Collaboration and Collaborative Practice (Co-Lab). The competition brief will be based on a contemporary project where you will initially collaborate with other product or interior design MA students. Co-Lab offers a choice of exciting project briefs which can then be incorporated into the planning of your personal project. Each project brief will demonstrate your strengths in a chosen range of visualisation techniques, and the potential of those techniques for enhancing the effectiveness of an appropriate design process.

The Master's stage will require completion of a personal project.

Assessment

Assessments will take place during individual/ group presentations at interim stages and at the end of each module. Immediate verbal feedback is given to students during the interim stages and written feedback is given at the end of each module.

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Games are huge business nowadays and the technology behind today's games is being implemented. in other industries beyond entertainment. Read more
Games are huge business nowadays and the technology behind today's games is being implemented
in other industries beyond entertainment. Serious games are games with purposes beyond just
providing entertainment. Examples include, but are not limited to, edutainment, health games, and
games for policy and social change.

The serious games field has huge potential for growth, particularly in the realm of education. In fact, according
to Ambient Insight, the U.S. game‐based learning market reached $231.6 million in 2010, and the combined
five‐year compound annual growth rate (CAGR) for content, services, and tools is 12.3% and revenues will
reach $413.2 million by 2015.

The academic sector is now responding to the growing global demand for Masters programmes in
this area. Based on our expertise in 3D modeling and animation, motion capture technology,
research activities of key members of academic staff in serious games, and the market demand of
serious games, we developed the

MSc in Visualisation (Serious Games)

programme.
This award will be appealing to students from a wide range of disciplinary backgrounds ranging from
computer science, life sciences, to business studies, education, social science and media studies, the
course will allow them to develop industry appropriate skills for the 21st century knowledge
economy, developing a unique portfolio of work and hands on experience.

The programme is delivered via a series of taught lectures, tutorials, set and elective projects, and
self‐directed learning. Students will be expected to engage in a high level of self‐directed learning,
research and independent critical reflection, as well as participating in the taught elements of the
course of study.

Although just one intake per year in September, students can attend this programme on a part-time basis.
A number of Scottish Funding Council Fee Waivers are available for this programme.

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This programme aims to develop a specialist approach to graphic design and visualisation through combining traditional and contemporary approaches in the field. Read more
This programme aims to develop a specialist approach to graphic design and visualisation through combining traditional and contemporary approaches in the field.

It will provide the student with opportunities to develop a personalised visual language through visual thinking, expressed in physical and virtual means combining traditional and contemporary media. Theory and practice are intertwined and students express their ideas through the production of written assignments and the production of artefacts, both aligned with their specialist area of interest.

The programme comprises six modules offering a range of learning experiences and staff access that allows for: project proposal development; situating practice in a wider context; research methodologies; experimentation with materials, processes and techniques; developing entrepreneurial skills; all realised through a final project phase.

The combination of directed study, technical support and independent learning enables the culmination of all this to be tailored towards supporting future career aspirations.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/arts/graphic-design/

Careers and further study

The universal demand for graphical knowledge and increasing emphasis on visualising complexity across diverse fields provides a vast range of career choices for graduates. Depending on individual aspirations, students evolve their practical, historical and theoretical interests for a career in industry or academic research through PhD study.

Why choose Arts, English and Drama at Loughborough?

The School of Arts, English and Drama is renowned as one of the world’s top places for studying the visual, literary and performing arts, offering outstanding opportunities across its wide remit. Each course is designed to inspire talented individuals with the drive and determination to succeed.

We provide many exciting ways to enhance skills, including research-led teaching by recognised international scholars, access to multi-million pound facilities, contact with prominent industry links, and superb entrepreneurial support.

A unique range of post-graduate taught programmes and research opportunities encompass art, design, history, theory, performance, postmedieval literature, linguistics studies.

We offer a unique range of postgraduate taught programmes and research opportunities which encompasses art, design, theory, performance by practice, post-medieval literature, creative writing, linguistics and theatre

- Facilities
Our students have full access to our state-of-the-art facilities, which offer a tantalising number of creative possibilities. They provide industry standard outputs, and you will receive an unparalleled level of professional training in using them.

- Career Prospects
Over 92% of our graduates were in employment and/or further study six months after graduating. Our students develop excellent transferable skills because of the range of topics studied on our courses and the diversity of teaching and learning methods we use.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/arts/graphic-design/

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Are you interested in exploring new ways of communicating through visual storytelling? Do you want to extend your creative skills in the digital domain?. Read more
Are you interested in exploring new ways of communicating through visual storytelling? Do you want to extend your creative skills in the digital domain?

The MSc Animation & VFX at DJCAD is an exciting Masters course which allows a much broader interpretation of traditional animation. Digital animation techniques have allowed us to visualise the world around us from the farthest reaches of space to the darkest depths of the oceans.

Why study Animation and Visualisation at Dundee?

Digital animation techniques have allowed us to visualise the world around us from the farthest reaches of space to the darkest depths of the oceans. With the increasing appetite for fantastic stories and images there has never been a better opportunity for animators, artists and designers to develop new ways of communicating different stories. Using 2D and 3D computer animation, practitioners are shaping our knowledge and understanding in areas as diverse as digital visual effects, medical imaging, architecture, environmental design, product design and film making.

What's great about Animation and Visualisation at Dundee?

This course represents an opportunity for animators, artists, designers and those with associated experience to extend their skills and discourse within both animation and visualisation. We offer dedicated 2D, 3D and visual effects facilities providing you with a unique opportunity to develop your own visual practice. Our new Visual FX studio is one of only two within a UK university.

Duncan of Jordanstone College of Art and Design (DJCAD) has been rated as the top institution in Scotland for research in art and design, and one of the best in the whole of the UK (RAE 2008).

What you will study

The Masters is a one-year programme, taught over three semesters. Core modules and optional modules provide a balanced curriculum. Masters students are required to attain 180 credits which comprise seven modules, as follows.

Semester 1 (20 credit modules):
Exploring Practice - enhances understanding of the process and skills associated with 2D and 3D animation production, problem solving and creative practice.
Context & Review - contextualises conceptual and theoretical skills in relation to contemporary and emerging technologies and cultures.
Research Skills & Methods - refine your personal programme of research and development, to inform the planning and execution of your personal project.

One week at the beginning of the first semester is dedicated to induction and diagnostic testing to establish where support is required, especially for international students.

DJCAD operates a Reading Week during week 6 of the first semester. Reading Week is designated as five days where there are no timetabled taught classes. However, all students are expected to carry out either assigned work or self-directed work during this period. All University facilities are open during Reading Week with students expected to attend the University as usual.

Semester 2 (20 credit modules):
Advanced Production - extend your existing skills in 2D and 3D digital computer animation. This module will help you to apply these skills to your personal project.
Reflection on Practice - guided independent learning in which you will focus on a project report.
Going Live - you will work on a live industry initiated project called Going Live. This experience will replicate the studio experience with a professional brief set by an external production studio. Industry partners have included The Mill and Axis Animation.

Semester 3 (60 credits)

A&V - Realisation, final 60 credit semester will result in you creating a substantial body of work and taking part in a public exposition.
You can choose to leave with a postgraduate diploma with 120 credits, or a postgraduate certificate with 60 credits.

How you will be assessed

Students are assessed by course work, including team project work, exploratory and finalised practical work, and written work

Careers

Prospects for graduates exist in research and within the vfx, 3D and 2D animation and visualisation industries. Specific roles include 3D Vfx Artists, Compositor, Character Designer, Technical Director, Environments Designer, Character Animator, Self-employment and entrepreneurship will also offer potential career opportunities. Academia careers including Research Assistant on funded projects and PhD study.

"I was given freedom to develop my potential. DJCAD also provided an amazing teacher team and advanced facilities that gave me a great study environment." - Huaijin Cao from China graduated in 2011 and is now employed at Sony Computer Entertainment Europe as a Motion Graphic Designer.

"The reason I choose to study the MSc Animation & Visualisation was to explore various vfx techniques in my work and gain ties with industry professionals. I had a great experience during my time at DJCAD and found the programme to be an ideal springboard into the vfx industry." - Graeme Turnbull works for The Mill London as a 3D artist, he graduated in 2009.

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Data science is an emerging new area of science. With City’s MSc in Data Science you can develop the skills and knowledge to analyse data in many forms and communicate insights. Read more
Data science is an emerging new area of science. With City’s MSc in Data Science you can develop the skills and knowledge to analyse data in many forms and communicate insights.

Who is it for?

This programme is for students who have a numerate first degree or can demonstrate numerate skills. Students are often at the early stages of their careers in diverse professions including economics, statistics and computer science.

Students will have a curiosity about data, and will want to learn new techniques to boost their career and be part of exciting current industry developments. The MSc in Data Science includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or statistics background and enjoy working with algorithms.

Objectives

The demand for data scientists in the UK has grown more than ten-fold in the past five years *. The amount of data in the world is growing exponentially. From analysing tyre performance to detecting problem gamblers, wherever data exists, there are opportunities to apply it.

City’s MSc Data Science programme covers the intersection of computer science and statistics, machine learning and practical applications. We explore areas such as visualisation because we believe that data science is about generating insight into data as well as its communication in practice.

The programme focuses on machine learning as the most exciting technology for data and we have learned from our own graduates that this is of high value when it comes to employment within the field. At City, we have excellent expertise in machine learning and the facilities students need to learn the technical aspects of data analysis. We also have a world-leading centre for data visualisation, where students get exposed to the latest developments on presenting and communicating their results – a highly sought after skill.

Placements

There is the opportunity to do an internship as part of the programme. The final project, which is normally three months for a full-time student, can be extended to six months if you want to study within a specific organisation. When it comes to the big data and data science area, we have established relationships with organisations including the BBC, Microsoft and The British Library so you can be confident that with City, your access to professional experience is unparalleled. One recent student undertook an internship with Google and has since secured a job within the company.

Academic facilities

The School's computer science laboratories are equipped with the latest up-to-date hardware and software. From Oracle’s leading commercial object-relational database server to PCs with state-of-the-art NVidia GPUs for computer graphics, you will have access to an array of tools to support your learning.

The MSc Data Science programme offers two (three by mid 2016) dedicated computer servers for the Big Data module, which you can also use for your final project to analyse large data sets. We give you the opportunity to undertake training in MATLAB, the most popular numerical and technical programming environment, while you study.

Scholarships

A scholarship for the full fees of the MSc will be offered to an outstanding applicant. The scholarship is available to UK/EU and overseas students, studying full-time. To be considered for the scholarship, please include with your full application a one-page essay with your answer to the question:

'What are the challenges that Data Science faces and how would you address those challenges?'

The submission deadline for anyone wishing to be considered for the scholarship is: 1 MAY 2017

Teaching and learning

The teaching and learning methods we use mean that students’ specialist knowledge and autonomy increase as they progress through each module. Active researchers guide your progress in the areas of machine learning, data visualization, and high-performance computing, which culminates with an individual project. This is an original piece of research conducted with academic supervision, but largely independently and, where appropriate, in collaboration with industrial partners.

Taught modules are delivered through a series of 20 hours of lectures and 10 hours of tutorials/laboratory sessions. Lectures are normally used to:
-Present and exemplify the concepts underpinning a particular subject.
-Highlight the most significant aspects of the syllabus.
-Indicate additional topics and resources for private study.

Tutorials help you develop the skills to apply the concepts we have covered in the lectures. We normally achieve this through practical problem solving contexts.

Laboratory sessions give you the opportunity to apply concepts and techniques using state-of-the-art software, environments and development tools.

In addition to lectures, laboratory sessions and tutorial support, you also have access to a personal tutor. This is an academic member of staff from whom you can gain learning support throughout your degree. In addition, City’s online learning environment Moodle contains resources for each of the modules from lecture notes and lab materials, to coursework feedback, model answers, and an interactive discussion forum.

We expect you to study independently and complete coursework for each module. This should amount to approximately 120 hours per module if you are studying full time. Each module is assessed through a combination of written examination and coursework, where you will need to answer theoretical and practical questions to demonstrate that you can analyse and apply data science methods and techniques.

The individual project is a substantial task. It is your opportunity to develop a research-related topic under the supervision of an academic member of staff. This is the moment when you can apply what you have learnt to solve a real-world problem using large datasets from industry, academia or government and use your knowledge of collecting and processing real data, designing and implementing big data methods and applying and evaluating data analysis, visualisation and prediction techniques. At the end of the project you submit a substantial MSc project report, which becomes the mode of assessment for this part of the programme.

Course content

Data science is the area of study concerned with the extraction of insight from large collections of data.

The course covers the study, integration and application of advanced methods and techniques from:
-Data analysis and machine learning
-Data visualisation and visual analytics
-High-performance, parallel and distributed computing
-Knowledge representation and reasoning
-Neural computation
-Signal processing
-Data management and information retrieval.

It gives you the opportunity to specialise so, once you graduate, you can apply data science to any sector from health to retail. By engaging with researchers and industrial partners during the programme, you can develop your knowledge and skills within a real-world context in each of the above areas.

Core modules
-Principles of data science (15 credits)
-Machine learning (15 credits)
-Big Data (15 credits)
-Neural computing (15 credits)
-Visual analytics (15 credits)
-Research methods and professional issues (15 credits)

Elective modules
-Advanced programming: concurrency (15 credits)
-Readings in computer science (15 credits)
-Advanced databases (15 credits)
-Information retrieval (15 credits)
-Data visualisation (15 credits)
-Digital signal processing and audio programming (15 credits)
-Cloud computing (15 credits)
-Computer vision (15 credits)
-Software agents (15 credits)

Individual project - (60 credits)

Career prospects

From health to retail, and from the IT industry to government, the Data Science MSc will prepare you for a successful career as a data scientist. You will graduate with specialist skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation, which are in high demand.

City's unique internships, our emphasis on machine learning and visual analytics, together with our links with the industry and Tech City, should help you gain employment as a specialist in data analysis and visualization. Graduates starting a new business can benefit from City's London City Incubator and City's links with Tech City, providing support for start-up businesses.

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Data Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Data Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc Data Science

The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics
- Data Science Research Methods and Seminars
- Big Data and Data Mining
- Big Data and Machine Learning
- Mathematical Skills for Data Scientists
- Data Visualization
- Human Computer Interaction
- High Performance Computing in C/C++
- Graphics Processor Programming
- Computer Vision and Pattern Recognition
- Modelling and Verification Techniques
- Operating Systems and Architectures

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Career Destinations

- Data Analyst
- Data mining Developer
- Machine Learning Developer
- Visual Analytics Developer
- Visualisation Developer
- Visual Computing Software Developer
- Database Developer
- Data Science Researcher
- Computer Vision Developer
- Medical Computing Developer
- Informatics Developer
- Software Engineer

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