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Masters Degrees (Digital Imaging)

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Medical Imaging is an essential component of modern medicine, playing a key role in the diagnosis, treatment and monitoring of disease. Read more

Medical Imaging is an essential component of modern medicine, playing a key role in the diagnosis, treatment and monitoring of disease. The Medical Imaging MSc covers:

  • the basic physics involved in the different imaging techniques
  • image formation, pattern recognition and applications in the field of radiology
  • current issues in a modern UK NHS radiology department.

Whilst not a clinical skills course, the teaching of the technical aspects of imaging techniques is firmly grounded and in their clinical usage. Many of our lecturers are at the forefront of research in their field and bring insights from emerging imaging techniques.

This programme is designed for recent graduates preparing for a career in medical imaging, professionals already working in the field, and medical students wishing to intercalate.

More Information

You can study this subject at a MSc, Postgraduate Diploma or Postgraduate Certificate level.

You may transfer from your original programme to another one, provided that you do this before you have completed the programme and before an award has been made. Part-time study is also an option. 

You’ll become familiar with the range of clinical imaging techniques.

By the end of the programme you should be able to:

  • Demonstrate knowledge and understanding of the physical and mathematical aspects of image formation of several techniques;
  • Identify the anatomical and physiological properties of tissue associated with image formation and contrast for several techniques;
  • Analyse and compare the technical performance of various modalities;
  • Demonstrate an understanding of the clinical applications of each technique, the variables involved and how they can be compared;
  • Apply IT in literature searching, analysis and display of data, and report writing to enhance life-long learning in medical imaging;
  • Demonstrate enhancement of their professional skills in communication, problem-solving, learning effectively and quickly, and effective self-management;
  • Critically evaluate relevant published work, demonstrating an understanding of the underpinning principles of statistics, project design and data analysis.

Course structure

PGCert

Compulsory modules:

  • Medical Imaging Core Skills 15 credits

For more information on typical modules, read Medical Imaging PGCert in the course catalogue

PGDip

Compulsory modules :

  • Principles for Medical Imaging Interpretation 15 credits
  • Medical Imaging Core Skills 15 credits
  • Digital Radiography and X-ray Computed Tomography 15 credits
  • Magnetic Resonance Imaging 15 credits
  • Ultrasound Imaging 15 credits
  • Radionuclide Imaging 15 credits
  • Medical Image Analysis 15 credits
  • Research Methods 15 credits

For more information on typical modules, read Medical Imaging PGDip in the course catalogue

MSc

You’ll study modules worth 180 credits. If you study this programme part time you will study fewer modules in each year.

Compulsory modules:

  • Principles for Medical Imaging Interpretation 15 credits
  • Medical Imaging Core Skills 15 credits
  • Digital Radiography and X-ray Computed Tomography 15 credits
  • Magnetic Resonance Imaging 15 credits
  • Ultrasound Imaging 15 credits
  • Radionuclide Imaging 15 credits
  • Medical Image Analysis 15 credits
  • Research Methods 15 credits
  • Research Project 60 credits 

As an MSc student, you undertake a research project in the field of Medical Imaging. New research topics are available each year and include projects in MRI, Ultrasound, X-ray and their clinical application. You'll be asked to state your preferred research project. Before projects are allocated, you are encouraged to meet potential supervisors and discuss the research work.

Learning and teaching

All modules (except for your research project) are taught through traditional lectures, tutorials, practicals and computer based sessions. We also employ blended learning, combining online learning with other teaching methods.

You’ll be taught about the underpinning science of the various imaging modalities, and we cover a range of clinical applications demonstrating the use of medical imaging in modern medicine. Many of the lecturers are at the forefront of research in their particular field and will bring insights from current clinical imaging practice and developments of new and emerging imaging techniques.

Assessment

The taught modules are assessed by coursework and unseen written examinations. Exams are held during the University exam periods in January and May.

The research project is assessed in separate stages, where you submit a 1,000-word essay (20%), a 5,000-word journal-style research article (70%) and make an oral presentation (10%).

Career opportunities

Past graduates have gone on to enter careers in medical imaging or related disciplines, such as radiology and radiography. Often students are already working in the area, and use the skills and knowledge gained in the programme to enhance their careers. Students have gone on to take lecturer or research positions, and have also chosen to take post graduate research degrees (such as a PhD). As a intercalated degree for medical students the programme is useful for students considering radiology or many other medical specialties.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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See the department website - http://www.cis.rit.edu/graduate-programs/master-science. The master of science program in imaging science prepares students for positions in research in the imaging industry or in the application of various imaging modalities to problems in engineering and science. Read more
See the department website - http://www.cis.rit.edu/graduate-programs/master-science

The master of science program in imaging science prepares students for positions in research in the imaging industry or in the application of various imaging modalities to problems in engineering and science. Formal course work includes consideration of the physical properties of radiation-sensitive materials and processes, the applications of physical and geometrical optics to electro-optical systems, the mathematical evaluation of image forming systems, digital image processing, and the statistical characterization of noise and system performance. Technical electives may be selected from courses offered in imaging science, color science, engineering, computer science, science, and mathematics. Both thesis and project options are available. In general, full-time students are required to pursue the thesis option, with the project option targeted to part-time and online students who can demonstrate that they have sufficient practical experience through their professional activities.

Faculty within the Center for Imaging Science supervise thesis research in areas of the physical properties of radiation-sensitive materials and processes, digital image processing, remote sensing, nanoimaging, electro-optical instrumentation, vision, medical imaging, color imaging systems, and astronomical imaging. Interdisciplinary efforts are possible with other colleges across the university.

The program can be completed on a full- or a part-time basis. Some courses are available online, specifically in the areas of color science, remote sensing, medical imaging, and digital image processing.

Plan of study

All students must earn 30 credit hours as a graduate student. The curriculum is a combination of required core courses in imaging science, elective courses appropriate for the candidate’s background and interests, and either a research thesis or graduate paper/project. Students must enroll in either the research thesis or graduate paper/project option at the beginning of their studies.

Core courses

Students are required to complete the following core courses: Fourier Methods for Imaging (IMGS-616), Image Processing and Computer Vision (IMGS-682), Optics for Imaging (IMGS-633), and either Radiometry (IMGS-619) or The Human Visual System (IMGS-620).

Speciality track courses

Students choose two courses from a variety of tracks such as: digital image processing, medical imaging, electro-optical imaging systems, remote sensing, color imaging, optics, hard copy materials and processes, and nanoimaging. Tracks may be created for students interested in pursuing additional fields of study.

Research thesis option

The research thesis is based on experimental evidence obtained by the student in an appropriate field, as arranged between the student and their adviser. The minimum number of thesis credits required is four and may be fulfilled by experiments in the university’s laboratories. In some cases, the requirement may be fulfilled by work done in other laboratories or the student's place of employment, under the following conditions:

1. The results must be fully publishable.

2. The student’s adviser must be approved by the graduate program coordinator.

3. The thesis must be based on independent, original work, as it would be if the work were done in the university’s laboratories.

A student’s thesis committee is composed of a minimum of three people: the student’s adviser and two additional members who hold at least a master's dgeree in a field relevant to the student’s research. Two committee members must be from the graduate faculty of the center.

Graduate paper/project option

Students with demonstrated practical or research experience, approved by the graduate program coordinator, may choose the graduate project option (3 credit hours). This option takes the form of a systems project course. The graduate paper is normally performed during the final semester of study. Both part- and full-time students may choose this option, with the approval of the graduate program coordinator.

Admission requirements

To be considered for admission to the MS in imaging science, candidates must fulfill the following requirements:

- Hold a baccalaureate degree from an accredited institution (undergraduate studies should include the following: mathematics, through calculus and including differential equations; and a full year of calculus-based physics, including modern physics. It is assumed that students can write a common computer program),

- Submit a one- to two-page statement of educational objectives,

- Submit official transcripts (in English) of all previously completed undergraduate or graduate course work,

- Submit letters of recommendation from individuals familiar with the applicant’s academic or research capabilities,

- Submit scores from the Graduate Record Exam (GRE) (requirement may be waived for those not seeking funding from the Center for Imaging Science), and

- Complete a graduate application.

- International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 600 (paper-based) or 100 (Internet-based) are required. Students may also submit scores from the International English Language Testing System. The minimum IELTS score is 7.0. International students who are interested in applying for a teaching or research assistantship are advised to obtain as high a TOEFL or IELTS score as possible. These applicants also are encouraged to take the Test of Spoken English in order to be considered for financial assistance.

Applicants seeking financial assistance from the center must have all application documents submitted to the Office of Graduate Enrollment Services by January 15 for the next academic year.

Additional information

- Bridge courses

Applicants who lack adequate preparation may be required to complete bridge courses in mathematics or physics before matriculating with graduate status.

- Maximum time limit

University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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Digital Humanities is a fast and growing interdisciplinary field at the cutting edge of 21st century research methods. It aligns traditional Humanities-based research with modern data-intensive computational methodologies to produce exciting new research avenues and questions in traditional fields of expertise. Read more

Overview

Digital Humanities is a fast and growing interdisciplinary field at the cutting edge of 21st century research methods. It aligns traditional Humanities-based research with modern data-intensive computational methodologies to produce exciting new research avenues and questions in traditional fields of expertise. The MA degree is transformative in nature and allows graduates from Arts and Humanities, Social Science, as well as Computer Science backgrounds, to enhance and complement their existing research skills with modern digital methods vital for the cultural heritage and information sectors. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts and humanities, digital preservation, or digital cultural heritage.

Students have opportunities to:

Use State-of-the-art equipment to digitise, analyse and 3D print cultural heritage objects.
Explore alternative methods, theories, and technologies for undertaking a range of digitally-enabled cultural heritage projects and research
Get real-life experience through an internship in a cultural heritage institution or collaborating on a Digital Humanities project.
Be actively involved in our Digital Humanities projects, such as the Letters 1916, the first crowdsourcing project in Ireland, and Contested Memories, a computer graphic simulation of The Battle of Mount Street Bridge.
Create virtual worlds and get an expertise in computer graphics for cultural heritage.
Learn programming and markup languages used widely in the field
Get experience in encoding historical or literary sources and literature in the creation of Digital Scholarly Editions.
The course is delivered in our state-of-the-art facility in An Foras Feasa (Iontas Building, North Campus), which includes the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, and the Green Screen Studio for audio-visual recording.

A number of funding options are available including two An Foras Feasa Taught Masters Bursaries, the University wide Taught Masters Scholarships and the Maynooth University Taught Masters Alumni Scholarships. Further details may be found at: https://www.maynoothuniversity.ie/foras-feasa/ma-and-phd-funding

Course Structure

90 ECTS are needed to complete the Masters. The course is comprised of the following elements:

Required Taught Modules: 20 ECTS*

Elective Taught Modules: 40 ECTS

Project and Dissertation: 30 ECTS

*Required modules include Digital Humanities Theory and Practice and Digital Humanities Practicum (10 ECTS each). Both modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Part-time students are advised to register for ‘Digital Humanities Theory and Practice’ in the first semester, while working for the ‘Digital Humanities Practicum’ in the second year of the course.

Elective modules provide students with a variety of skills, methods, and theories. Students may choose to either specialise in a specific area, delving deeply into a specific set of methods, or to take a wider variety of modules hence gaining a broader understanding of the field.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’: an intensive 3-week 90-hour pre-semester laboratory-based programming course which runs in late August through to early September and counts as one elective module worth 10 ECTS.

The project and dissertation over the last semester of the course and will be individually supervised or co-supervised by an academic from one or both of the contributing departments. Student who wish not to write the final thesis have the opportunity to exit the course with a postgraduate diploma in Digital Humanities.

Career Options

Graduates of the MA in Digital Humanities at Maynooth University are ideally placed to use computational methods in arts and humanities research and research projects. Graduates also take up exciting positions across the areas of museum curating, archiving and public history and heritage projects, while the technical and transferrable skills they develop can also lead them to the Industry and the IT sector.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH50F/MH51F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

Read less
Digital Humanities is a fast and growing interdisciplinary field at the cutting edge of 21st century research methods. It aligns traditional Humanities-based research with modern data-intensive computational methodologies to produce exciting new research avenues and questions in traditional fields of expertise. Read more

Overview

Digital Humanities is a fast and growing interdisciplinary field at the cutting edge of 21st century research methods. It aligns traditional Humanities-based research with modern data-intensive computational methodologies to produce exciting new research avenues and questions in traditional fields of expertise. The postgraduate diploma is transformative in nature and allows graduates from Arts and Humanities, Social Science, as well as Computer Science backgrounds, to enhance and complement their existing research skills with modern digital methods vital for the cultural heritage and information sectors. It is also excellent preparation for those wishing to pursue a career in digital arts and humanities, digital preservation, or digital cultural heritage.

Students have opportunities to:

Use State-of-the-art equipment to digitise, analyse and 3D print cultural heritage objects.
Explore alternative methods, theories, and technologies for undertaking a range of digitally-enabled cultural heritage projects and research
Get real-life experience through an internship in a cultural heritage institution or collaborating on a Digital Humanities project.
Be actively involved in our Digital Humanities projects, such as the Letters 1916, the first crowdsourcing project in Ireland, and Contested Memories, a computer graphic simulation of The Battle of Mount Street Bridge.
Create virtual worlds and get an expertise in computer graphics for cultural heritage.
Learn programming and markup languages used widely in the field.
Get experience in encoding historical or literary sources and literature in the creation of Digital Scholarly Editions.
The course is delivered in our state-of-the-art facility in An Foras Feasa (Iontas Building, North Campus), which includes the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, and the Green Screen Studio for audio-visual recording.

Course Structure

60 ECTS are needed to complete the Diploma. The course is comprised of the following elements:

Required Taught Modules: 20 ECTS*

Elective Taught Modules: 40 ECTS

*Required modules include Digital Humanities: Theory and Practice and Digital Humanities Practicum (10 ECTS each). Both modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Elective modules provide students with a variety of skills, methods, and theories. Students may choose to either specialise in a specific area, delving deeply into a specific set of methods, or to take a wider variety of modules hence gaining a broader understanding of the field.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’: an intensive 3-week 90-hour pre-semester laboratory-based programming course which runs in late August through to early September and counts as one elective module worth 10 ECTS.

Career Options

Graduates of the Postgraduate Diploma in Digital Humanities at Maynooth University are ideally placed to use computational methods in arts and humanities research and projects. Graduates also take up exciting positions across the areas of museum curating, archiving and public history and heritage projects, while the technical and transferrable skills they develop can also lead them to the Industry and the IT sector.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH54F Full-time / MH55F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. Read more
The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. The digital media group has interests in many areas of interactive multimedia and digital film and animation.

Visit the website https://www.kent.ac.uk/courses/postgraduate/264/digital-arts

About the School of Engineering and Digital Arts

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research (http://www.eda.kent.ac.uk/research/default.aspx) that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

The digital media group has interests in many areas of interactive multimedia and digital film and animation.

There is particular strength in web design and development, including e-commerce, e-learning, e-health; and the group has substantial experience in interaction design (eg, Usability and accessibility), social computing (eg, Social networking, computer mediated communication), mobile technology (eg, iPhone), virtual worlds (eg, Second Life) and video games. In the area of time-based media, the group has substantial interest in digital film capture and editing, and manipulation on to fully animated 3D modelling techniques as used in games and feature films.

Research Themes:
- E-Learning Technology (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=1)

- Medical Multimedia Applications and Telemedicine (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=2)

- Human Computer Interaction and Social Computing (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=3)

- Computer Animation and Digital Visual Effects (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=4)

- Mobile Application Design and Development (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=25)

- Digital Arts (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=26)

Research areas

- Intelligent Interactions

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

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 are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

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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The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. Read more
The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

Course Structure

Seven taught modules and then a dissertation module of approximately two months over the summer.

Core Modules

-Object-Oriented Programming in Java and UML
-Software Engineering for the Internet
-Distributed Computing
-Enterprise and Distributed Systems
-Research Methods and Professional Issues
-Web Technology
-Digital Imaging
-Dissertation

Learning and Teaching

The MSc in Internet Systems and e-Business is a full-time taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. Students are registered for 12 months from the course start date at the beginning of October each academic year. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

The programme consists of seven lecture/tutorial based core modules plus a research project. The two modules in Object Oriented Programming, and Web Technology, each feature 18 hours of lectures plus 8 hours of tutorial contact time.

The three modules in Digital Imaging, Distributed Computing and Research Methods and Professional Issues each feature 12 hours of lectures plus 8 hours of tutorial contact time. The lecture module on Software Engineering for the Internet has 20 hours of tutorials. The lecture module on Enterprise and Distributed Systems use a variety of teaching methods. It might typically feature 24 hours of lectures, 8 hours of tutorials and a total of 91 hours of laboratory/practical classes. The total contact hours for all 7 of these modules is therefore 96 hours of lectures, 68 hours of tutorials and 91 hours of laboratory/practical classes.

A major individual research project is also undertaken during the course under the guidance of an appropriate staff supervisor. This provides an open-ended challenge to each individual student. Regular meetings are held with the supervisor to discuss project progress and planning issues. At the end of the project students are required to submit a dissertation documenting their project work. Students should expect to have around 5 hours of contact time with their supervisors over the course of their research projects.

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Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. Read more
Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).
The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

Read less
Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. Read more
Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).

The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

Embedded Systems (Computer Vision) with Management Studies MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Business in Practice
-Project Dissertation

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This Masters in Sensor and Imaging Systems (SIS) focuses on the technologies and techniques that underpin a vast range of societal, research and industrial needs. Read more
This Masters in Sensor and Imaging Systems (SIS) focuses on the technologies and techniques that underpin a vast range of societal, research and industrial needs. It is delivered and awarded jointly by the Universities of Glasgow and Edinburgh. Sensing and sensor systems are essential for advances in research across all fields of physics, engineering and chemistry and are enhanced when multiple sensing functions are combined into arrays to enable imaging. Industrial applications of sensor systems are ubiquitous: from mass-produced sensors found in modern smart phones and every modern car to the state-of-the-art, specialist high-value sensors routinely used in oil and gas recovery, scientific equipment, machine tools, medical equipment and environmental monitoring. This is an industry-focused programme, designed for people looking to develop skills that will open up opportunities in a host of end applications.

Why this programme

◾This is a jointly taught and awarded degree from the University of Glasgow and the University of Edinburgh, developed in with conjunction with CENSIS.
◾CENSIS is a centre of excellence for Sensor and Imaging Systems (SIS) technologies, CENSIS enables industry innovators and university researchers to collaborate at the forefront of market-focused SIS innovation, developing products and services for global markets.
◾CENSIS, the Innovation Centre for Sensor and Imaging Systems, is one of eight Innovation Centres that are transforming the way universities and business work together to enhance innovation and entrepreneurship across Scotland’s key economic sectors, create jobs and grow the economy. CENSIS is funded by the Scottish Funding Council (£10m) and supported by Scottish Enterprise, Highlands and Islands Enterprise and the Scottish Government.
◾CENSIS has now launched its collaborative MSc in Sensor and Imaging Systems, designed to train the next generation of sensor system experts.
◾This programme will allow you to benefit from the commercial focus of CENSIS along with the combined resources and complementary expertise of staff from two top ranking Russell Group universities, working together to offer you a curriculum relevant to the needs of industry.
◾The Colleges of Science and Engineering at the University of Glasgow and the University of Edinburgh delivered power and impact in the 2014 Research Excellent Framework. Overall, 94% of Edinburgh’s and 90% of Glasgow’s research activity is world leading or internationally excellent, rising in Glasgow’s case to 95% for its impact.
◾Fully-funded places and bursaries are available to Scottish/EU candidates. Further information on funded places.

Programme structure

The programme comprises a mix of core and optional courses. The curriculum you undertake is flexible and tailored to your prior experience and expertise, your particular research interests, and the specific nature of the extended research project topic provisionally identified at the beginning of the MSc programme.

Graduates receive a joint degree from the universities of Edinburgh and Glasgow.

Programme timetable
◾Semester 1: University of Glasgow
◾Semester 2: University of Edinburgh
◾Semester 3: MSc project, including the possibility of an industry placement

Core courses
◾Circuits and systems
◾Fundamentals of sensing and imaging
◾Imaging and detectors
◾Technology and innovation management
◾Research project preparation.

Optional courses
◾Biomedical imaging techniques
◾Biophysical chemistry
◾Biosensors and instrumentation
◾Chemical biology
◾Digital signal processing
◾Electronic product design and manufacture
◾Electronic system design
◾Entrepreneurship
◾Lab-on-chip technologies
◾Lasers and electro-optic systems
◾Microelectronics in consumer products
◾Microfabrication techniques
◾Nanofabrication
◾Physical techniques in action
◾Waves and diffraction.

Career prospects

You will gain an understanding of sensor-based systems applicable to a whole host of markets supported by CENSIS.

Career opportunities are extensive. Sensor systems are spearheading the next wave of connectivity and intelligence for internet connected devices, underpinning all of the new ‘smart markets’, e.g., grid, cities, transport and mobility, digital healthcare and big data.

You will graduate with domain-appropriate skills suitable for a range of careers in areas including renewable energy, subsea and marine technologies, defence, automotive engineering, intelligent transport, healthcare, aerospace, manufacturing and process control, consumer electronics, and environmental monitoring.

Globally, the market for sensor systems is valued at £500Bn with an annual growth rate of 10%. The Scottish sensor systems market is worth £2.6Bn pa. There are over 170 sensor systems companies based in Scotland (SMEs and large companies), employing 16,000 people in high-value jobs including product R&D, design, engineering, manufacturing and field services.

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Medical imaging is a rapidly-growing discipline within the healthcare sector, involving clinicians, physicists, computer scientists and those in IT industries. Read more

Medical imaging is a rapidly-growing discipline within the healthcare sector, involving clinicians, physicists, computer scientists and those in IT industries.

This programme delivers the expertise you'll need to forge a career in medical imaging, including radiation physics, image processing, biology, computer vision, pattern recognition, artificial intelligence and machine learning.

Programme structure

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

Example module listing

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.

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 Department’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. There is also a Faculty quiet room for individual study.

We pride ourselves on the many opportunities that we provide to visit collaborating hospitals. These enable you to see first-hand demonstrations of medical imaging facilities and to benefit from lectures by professional practitioners.

To support material presented during the programme, you will also undertake a selection of ultrasound and radiation detection experiments, hosted by our sister MSc programme in Medical Physics.

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 & 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

Technical characteristics of the pathway

Medical Imaging is a rapidly growing discipline within the healthcare sector, incorporating engineers, physicists, computer scientists and clinicians. It is driven by the recent rapid development of 3-D Medical Imaging Systems, fuelled by an exponential rise in computing power.

New methods have been developed for the acquisition, reconstruction, processing and display of digital medical-image data with unprecedented speed, resolution and contrast.

This programme in Medical Imaging is aimed at training graduates for careers in this exciting multi-disciplinary area, and our graduates can expect to find employment in the medical imaging industry or the public health care sector.

It represents a blend of fundamental medical physics topics concerned with image acquisition and reconstruction coupled with imaging science and image engineering topics such that graduates understand how images are formed and how advanced machine-based methods can be bought to bare to provide new diagnostic information.

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 course provides a thorough, methodical and wide-ranging education in digital signal and image processing. The Degree course offers both core taught modules and a substantial individual research project. Read more
This course provides a thorough, methodical and wide-ranging education in digital signal and image processing. The Degree course offers both core taught modules and a substantial individual research project.

Teaching and learning

The course contains both compulsory core taught modules and a substantial individual research project. Four taught modules are delivered in the first semester from September to January, and four taught modules are delivered in the second semester from February to June. Each taught unit is assessed by coursework or laboratory report, with written examinations in January and June.
You will conduct your dissertation project work during summer and submit your final dissertation in September.

Course unit details

Typical course units include:
-Signals and data capture engineering
-Digital image processing
-Digital Communications engineering
-Sensing and transduction
-Digital image engineering
-Tomography engineering and applications

Career opportunities

Digital signals are part of almost every aspect of 21st technology. If you take this course, you will become expert in this area and expose yourself to a world of opportunity respecting careers. You will, for example, be able to perform biomedical signal processing, audio/visual/multimedia engineering, digital waveform synthesis and medical, industrial and military image processing. You will be able to work in the fields of imaging, medical physics, aerospace, telecommunications systems development, mechatronics, robotics, remote sensing and nondestructive testing. Your skills will be highly sought after in organisations that develop systems for these and many related state-of the art disciplines.

This course will not only make you very employable; it will be a very fulfilling and enriching experience.

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IN BRIEF. A fusion of work based clinical learning and academic education delivered by a motivated and dedicated team of research active professionals. Read more

IN BRIEF:

  • A fusion of work based clinical learning and academic education delivered by a motivated and dedicated team of research active professionals.
  • A diverse programme of study, accredited by the Society of Radiographers, offering flexibility in study options to meet your own training whilst supporting your services requirements.
  • Benefit from our close links with NHS Clinical Providers.
  • A part-time only course

COURSE SUMMARY

The novelty of this Advanced medical imaging programme is that there is no single standard pathway. Module choices will depend on your own practice area and more complex requirements can be discussed with the course team prior to commencement.

This programme will allow you to meet the challenge of specialist, advanced and consultant practitioner status in the field of advanced medical imaging within a rapidly evolving health service.

Modules will equip you with problem solving skills and enable you to be critically aware of yourself and your practice. You will be enabled to develop, evaluate and implement evidence based practice and able to apply that comprehensive knowledge in the context of your specialist Advanced Medical Imaging  field.

COURSE DETAILS

Postgraduate Certificate: 60 graduate credits in your chosen pathway of study

Postgraduate Diploma: 120 graduate credits in your chosen pathway of study

MSc: 180 graduate credits in your chosen pathway of study to include the Dissertation module

COURSE STRUCTURE

Module Choices:

Your module choice will depend on your practice area and the profile of your award which should be discussed with the course team prior to commencement to establish a Negotiated Learning Agreement. This means your course is tailor-made to meet your exact learning requirements.

See modules here.

TEACHING

The programme employs a diverse range of teaching and learning strategies in order to meet the outcomes of the programme and the modules studied.  Equality and diversity issues are addressed within the range of learning options available, and also in terms of the module content, which aims to address the needs of a range of service users.

  • Learning methods include:
  • Lectures
  • Tutorials
  • Practical image viewing / examination
  • Hands-on workshops utilising our skills labs
  • Seminars
  • Blackboard online learning
  • Self-directed study
  • Clinical experience
  • Clinical tutorials

Students on clinically related modules are expected to complete required clinical experience to meet the learning outcomes and prepare them for assessment of competence.  The nature of this experience has been determined wherever possible through an evidence base, and by the guidance of professional and accrediting bodies, and external benchmarks.

In order to meet the pressure of service demands, part-time students may study up to 60 credits in one semester of an award.  Students are counselled carefully and offered support both in the University and at the workplace, as the employing trusts agree to allow students the extra time needed for study in that semester.  This has proved successful in previous cohorts of students.

ASSESSMENT

The assessment strategy encompasses both formative and summative approaches to enable students to meet the aims of the modules studied.  

Formative assessment supports students in developing new skills or applying transferable skills to new areas. Formative clinical assessments in clinically related modules are performed by mentors, who are offered training in their role and are supported by the programme team.

The assessment strategies for all modules have been designed to reflect current best practice, and aim to provide an integrated approach across all the pathways of study within this award. The use of portfolios where appropriate allows students with diverse needs and differing learning styles to evidence their knowledge and skills in a way that is best suited to their individual needs.

Assessment methods are designed to suit a variety of learning styles and include, for example;

  • Assignments
  • Viva Voce
  • Exams
  • Portfolio
  • Objective structured assessment
  • Poster presentation

The percentage and mode of assessment depends on the individual modules.

CAREER PROSPECTS

Most students have been seconded from and return to their work in the National Health Service with advanced practitioner status, and a number have gone on to become  Consultant Practitioners. Students will also be supported to apply for Advanced Practitioner Accreditation with the College of Radiographers.

LINKS WITH INDUSTRY

The radiography directorate has a very successful history of developing advanced practice, and this course has strong links with imaging departments, mostly within the UK National Health Service. It is also supported by the North West Medical Physics Department. This means that all your learning will be relevant to current practice and will ultimately benefit your patients through development of your clinical skills and enhanced knowledge.

FURTHER STUDY

Our research (find out more here) is conducted in multi-disciplinary teams with notable collaboration and professional input from computer science, medical physics, medicine, radiology, psychology, and engineering. This input emanates from within the University of Salford and a range of other universities and hospitals throughout the world.

We have a thriving and friendly PhD community, comprising full time and part time students. The majority of our PhD research focuses on one of our research themes:

  • X-ray (Digital and Computed Radiography)
  • X-ray (Mammography)
  • X-ray (Computed Tomography)
  • Ultrasound



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In a fast-moving society, the professional image-maker has a powerful role in the way science is communicated to the world. The professional imager is vital to modern research, science communication, commerce and industry. Read more
In a fast-moving society, the professional image-maker has a powerful role in the way science is communicated to the world. The professional imager is vital to modern research, science communication, commerce and industry. The MSc Biological Photography and Imaging is ideal for students wishing to pursue a career in professional imaging. The study programme incorporates the areas of biological research, imaging (both industrial and media production) and communication. Developing your imaging skills during the course will allow you to integrate scientific and technical aspects with commercial applications. Graduates of our course have gone on to further study in molecular biology and biophysics, or pursued various careers such as medical imaging or wildlife filmmaking.

You are expected to have a high quality undergraduate degree in the biological or related sciences. Applicants with degrees in other disciplines may be accepted at the discretion of the Course Director. Applicants with professional experience at a level equivalent to that of a first degree will also be considered.

Applicants to this programme are expected to have their own digital SLR camera. Systems normally used on this course are Nikon or Canon; if you wish to operate a different system, you need to discuss this with the Course Director.

Key facts

Throughout the course you will have access to technical advice from a dedicated team of staff, high-spec computer equipment, photography studios and photographic stereo and compound microscopes. We also maintain a museum of biological specimens for you to use in assignments.
Teaching on our biology courses was rated as excellent (23/24) in the most recent Teaching Quality Assessment Exercise.
You will take part in a range of field trips in order to develop every aspect of your photography skills. Experts, such as professional wildlife photographers, are closely involved with these trips.
You will receive tuition in the leading industry-standard web design and animation software and will have the opportunity to set up an online portfolio of your work.
This course includes a business component, enabling you to present your skills to the competitive marketplace.

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The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC. Read more
The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC.

Develop your knowledge and understanding of the animation process, software tools, techniques and packages, and the technical aspects of working in a professional animation environment. The MSc programme offers invaluable experience of working to professional briefs and under expert supervision of professional animators to prepare you for a career in industry.

Competition is fierce in animation and visual effects and success depends on your concentration levels, constant practise and ability to grasp the essence and modern techniques of animation. Successful former students are now working in animation and animation layout roles for companies such as Sony Games and Framestore CFC on major titles in games, television and film.

Visit the website https://www.kent.ac.uk/courses/postgraduate/248/computer-animation

About the School of Engineering and Digital Arts

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

The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. We have a thriving student population studying for postgraduate degrees in a friendly, supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

This intensively taught postgraduate course lasts a full year. It takes place in a dedicated computer laboratory where you have your own seat and computer for the duration of the course. The course lectures and workshops, whether led by visiting professionals or staff, are all held in this room. Demonstrations and showing of films are by means of an HD projector. By the end of the year, the lab will be where you live as much as your accommodation.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EL831 - Digital Visual Art set-up (15 credits)
EL832 - Animation Principles (15 credits)
EL833 - Visual Training (15 credits)
EL837 - Professional Group Work (15 credits)
EL863 - Advanced 3D Modelling (15 credits)
EL864 - Pre-Visualisation (15 credits)
EL865 - Action in Animation (15 credits)
EL866 - Acting in Animation (15 credits)
EL830 - Computer Animation Project (60 credits)

Assessment

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 your knowledge and understanding within the field of 3D computer animation, which will equip you to become a professional in the animation and visual effects industry

- produce professionally-trained animators who are highly skilled in using state-of-the-art 3D animation software for producing animated films

- provide you with proper academic guidance and welfare support

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

- strengthen and expand opportunities for industrial collaboration with the School of Engineering and Digital Arts.

Research areas

- Intelligent Interactions

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

Careers

We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build a long-term career in this important discipline.

The School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/) has an excellent record of student employability (http://www.eda.kent.ac.uk/school/employability.aspx). We are committed to enhancing the employability of all our students, to equip you with the skills and knowledge to succeed in a competitive, fast-moving, knowledge-based economy.

Graduates who can show that they have developed transferable skills and valuable experience are better prepared to start their careers and are more attractive to potential employers.

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

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Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. Read more

Overview

Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. It takes an interdisciplinary approach to focus on spatio-temporal concepts, methods, and tools in the development of computational and visual frameworks from which to explore the past and better understand our present.

The MSc in Spatial eHumanities has been jointly designed by An Foras Feasa and the National Centre for Geocomputation to provide both a historical background and theoretical grounding to the field while providing students with solid skills in contemporary digital methods and technologies, including Geographic Information Systems and 3D computer graphics modelling. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts, humanities, social science, or digital cultural heritage.

Students have opportunities to:

Learn how to use open source and proprietary geographical information systems (GIS) software such as QGIS and ArcGIS;
Become familiar with standards and methods common to digital humanities including XML, TEI, and Dublin Core;
Learn how to create virtual worlds and acquire an expertise in computer graphic design for cultural heritage;
Become actively involved in current Spatial eHumanities projects;
Learn how to encode literary and historical sources, as well as newer sources (such as social media) to identify and visualise spatial and temporal networks and patterns;
Gain practical project-based experience and project management skills by becoming an intern in a cultural heritage institution, a commercial organisation, or a digital spatial project;
Learn programming languages and apply these to spatial and temporal data in the various fields of the arts/humanities, archaeology, and geography.
The course is delivered in our state-of-the-art facilities in An Foras Feasa and National Centre for Geocomputation (Iontas Building, North Campus), which include the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, the Green Screen Studio for audio-visual recording, and the GIS Lab

Course Structure

90 ECTS are needed to complete the Masters. The course is comprised of the following elements:

Required Taught Modules: 40 ECTS*

Elective Taught Modules: 20 ECTS

Project and Dissertation: 30 ECTS

*Required modules include 1) Mapping and Modelling Space and Time; 2) Intro to Geographical Information Science; 3) Digital Heritage: Theories, Methods and Challenges; 4) Digital Humanities Practicum (10 ECTS each). All modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Part-time students are advised to register for ‘Mapping and Modelling Space and Time’ in the first semester, while working for the ‘Digital Humanities Practicum’ in the second year of the course.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’, an intensive 3-week 90-hour pre-semester laboratory-based programming course.

Elective Modules in the second semester provide students with specialised skills either on geocomputation or 3D modelling. Students who don’t register for the pre-semester structured programming module can register for both geocomputation and 3D modelling-related modules therefore getting a much broader specialisation in the field of Spatial eHumanities.

The project and dissertation will be undertaken over the last semester of the course and will be individually supervised or co-supervised by an academic from one or both of the contributing departments.

For students who wish not to write a final thesis, this course is also offered as a postgraduate diploma in Spatial eHumanities.

Career Options

This course would be attractive to professionals in the cultural heritage and library sectors to update existing skills to work specifically with spatial data. It would also be attractive to computer scientists wishing to work with new datasets being created by the cultural heritage sector as well as organisations such as Google (e.g. Google Books, Google Cultural Institute, and Google Maps). This MSc would also be attractive to students wishing to go into fields such as GIS and spatial consultancy, government departments that work with spatial data (e.g. Office of Public Works). Potential graduates would also be skilled in areas of content and data analysis and recommender systems in organisations such as TripAdvisor and Amazon.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH56F/MH57F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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