Technology is increasingly a key element in effective education and training. The web, mobile devices, interactive white boards, Virtual Learning Environments, blogging, wikis and email are tools that you may be able to use in your teaching. But how effective are they at supporting learning? New pedagogical models such as massively open online courses (MOOCs), learning analytics where data is used to analyse and improve learning, and rhizomatic learning are all explained and critically examined.
If you’re a teacher, trainer or learning technologist looking to enhance your skills around the integration, research and management of technology to enhance learning, then this course could be for you. You’ll explore the use of technology in your particular field, develop technical skills, including blogs, wikis and other social media, deepen your understanding of frameworks and look at how technology can enhance and support learning. A strong interest in developing teaching using information and communication technology is key - being an IT expert is not. The course is tailored around you. Choose from a range of options to match your role, experience or organisation to help you progress as an informed, reflective and inspirational practitioner.
This course combines making a difference in your particular teaching/training context with learning about how to undertake research in a systematic and rigours manner.
Much of your work is project based with outcomes of direct relevance and benefit to your particular teaching or training setting.
A typical participant may be a lecturer in Higher or Further Education, a teacher (primary, secondary, or specialist), a trainer in the public or private sector or a learning technologist.
Titles of work undertaken by students on this course have included:
• Investigation of the Potential of Twitter as a Learning Tool in a Sixth Form College
• Investigating the use of iPad technology in secondary schools: Assessing its role in teaching and learning in Key Stages Three and Four
This exciting MRes Computer Science course is designed to give you the opportunity to develop research skills in a computing area that meets your interests and career development needs. It allows you to combine material from any of our taught Masters courses in the computing suite with an extended research project over a one-year period.
Current demands are greater than ever for individuals to attain postgraduate levels of qualification in an increasingly competitive jobs market. As a result, the MRes Computer Science has been designed to meet the needs of students and employers, providing superior qualified graduates to national and international employers.
The MRes is divided into a taught element (60 credit points) and a laboratory-based research project (120 credit points).
This MSc Computer Science course offers the chance to study a range of topics in the computer science area, including principles of system design, software engineering, enterprise computing, computing architecture and applications of artificial intelligence. You will also have the opportunity to undertake an individual project, based on subjects that interest you, as well as research at the University or your industrial experience if you do a placement.
Demand for high-level software engineering skills continues to rise. Employers are finding it increasingly hard to recruit suitably qualified programmers and software technologists and so, with its emphasis on the application of the latest research ideas, the course will give you the skills to enjoy a highly rewarding career in the cutting-edge computing industry.
The MSc is divided into 60 credit point taught modules and the research project is worth 60 credit points.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.
Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).
Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.
Group One Options (15 to 30 credits)
Group Two Options (30 to 45 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.
Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.
Further information on modules and degree structure is available on the department website: Computer Graphics, Vision and Imaging MSc
Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at leading universities worldwide.
Recent career destinations for this degree
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
Our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.
Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.