Our computer science conversion course is for those who have little or no experience in computing. You will study the principles and practice of computing. It will include the fundamentals of computing science, database design, network technologies and programming.
This course can also be taken as Continuing Professional Development (CPD), for example by ICT teachers who are switching to the new Computer Science curriculum.
Our graduates have an excellent record of finding employment (around 90%). Recent examples include:
-Graduate Trainee, British Airways
-Software Developer, IBM UK
-Graduate Developer, Scott Logic
-Software Engineer, BT
Our research expertise feeds into our teaching. This means that you learn at the cutting edge of the discipline. We incorporate new techniques and knowledge into your learning and have an active research community. We have several research groups and four three research centres.
The course is delivered by the School of Computing. You can study over one year full time or two years' part time.
The first nine months of the full time course are devoted to taught modules (120 credits), which are examined by written papers. There will be about 20 contact hours per week. You will also undertake a substantial amount of supervised and unsupervised practical work.
The taught part of the course follows three main threads:
The three summer months are devoted to a dissertation project (worth 60 credits).
You can find more information on the School website:
We seek British Computer Society (BCS) accreditation for all our degrees. This ensures that you will graduate with a degree that meets the standards set out by the IT industry. A BCS-accredited degree provides the foundation for professional membership of the BCS on graduation. This is the first step to becoming a chartered IT professional.
The School of Computing Science at Newcastle University is an accredited and a recognised Partner in the Network of Teaching Excellence in Computer Science.
You will have dedicated computing facilities in the School of Computing. You will have access to the latest tools for system analysis and development. For certain projects, special facilities for networking can be set up as required.
You will enjoy access to specialist IT facilities to support your studies, including:
Our new £50m Science Central building is currently under construction. We are due to move there in Autumn 2017. The move will further enhance the facilities available to our students and academic community.
Our programme equips you for a career in sport, exercise and clinical biomechanics. You will gain in-depth knowledge into how theoretical biomechanics can be applied to the understanding and development of movement for sport, exercise and clinical applications.
Our MSc in Biomechanics will enable you to support the physical development and health of sports people engaged in intensive training and exercise. This programme critically examines the theoretical basis of methods of assessment and the practical application of data within biomechanics. It offers you a means of studying biomechanics from a discipline-specific standpoint.
You will be taught by staff who are committed to pursue excellence in the field of sport, exercise and health sciences and have achieved a high level of expertise within their profession.
The Sport and Exercise Research Centre houses one of the best sport science laboratory facilities in London. You will have access to our biomechanics laboratory and physiology laboratory during your study here.
You will be able to collaborate with our members of the Sport and Exercise Science Research Centre engaged in range of multidisciplinary research themes including: Neuromusculoskeletal Function through the Ages; Extreme Environments; Amputee Mobility; Performance and Well-Being; and Exercise Adherence and Health.
Roehampton has over twenty-five years' experience of teaching Sport Science and has run Masters level Sport Science programmes since 1997. Over this time, we have constantly embraced changes in the profession and utilised student feedback to ensure that our programmes are relevant, inspiring and provided to the high standards.
You will study modules that provide both the theory and hands-on application in areas such as biomechanical assessment/support techniques, neuromuscular function, and biomechanics of gait. The teaching in these modules is both in-depth and highly practical, with extensive use of laboratory facilities such as Vicon 3D motion capture system, 2D video analysis, Kistler force plates, isokinetic dynamometers, ultrasound scanners, electromyography, and neuromuscular electrical stimulator.
You will also have the opportunity to gain two weeks work placement in gait laboratories of Guys and St Thomas’s Hospital and Queen Mary’s Hospital. Through this placement our previous graduates have developed their clinical gait analysis skills and have enhanced their employability within the field of Biomechanics.
In your research dissertation, you will have the opportunity to perform focused research in a project to be developed with our staff member with the view for publication in a peer-reviewed journal.
Graduates are equipped with the necessary skills to work as sports and exercise physiologists, sports coaches and therapists in the health sector at sports clubs, sporting associations, governing bodies and other related agencies.
This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.
State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.
Students also have the chance to substantially expand their programming skills through projects they undertake.
Read about the experience of a previous student on this course, Gianmarco Addari.
This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard 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.
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.
Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment.
The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.
An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.
Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).
Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.
Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.
Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.
We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.
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.