The module focuses on the skills needed to build a viable/investment-ready business plan and pitching it to investors/employers in a industry style Dragons Den. Topics include using LEAN rapid development methodologies & tools, assessing & mitigating real risks, copyright, business structure, writing compelling CVs as well as supporting students in obtaining work placements. One of the only programmes in the UK taught by actual game developers, it will teach you game design, art & animation, and game programming, and has a strong focus on entrepreneurship and business.
You will learn how to make an efficient use of data, and appreciate the underlying topology of the geometry that makes up that model. Assessment will mostly be by the creation of 3D computer generated assets and presenting these as rendered images. You will learn the underlying principles of digital imaging in both its static and moving forms. The theory will be supported by workshops using professional imaging, and video editing software, as well as software tools for manipulating audio. Teaching and learning is split between a variety of different units to ensure the module is flexible enough to accommodate each cohort and student’s needs.
You will work both individually and within teams, with the tutors providing expert guidance and mentoring, all of which is designed to develop your confidence so you can undertake progressively more complex and challenging technical tasks. Work experience – Mention any work that is relevant to your subject, highlighting the skills and experience gained. Our in-country representatives can help you make your application and apply for a visa. Full-Time courses with a Professional Placement incur a fee during the placement year. The costs for those years when you attend the university for study, and the cost for the placement year are shown here.
- Applicants will typically require a Bakalauro Diplomas with a minimum overall score of 7 in the field of computing.
- You’ll be expected to provide the materials for use in your individual major projects; costs will vary depending on the materials selected.
- We will consider you as an individual and take into account all elements of your application, not just your qualifications.
Fuelled by the advances in sensing, computing and Machine Learning, Computer Vision applications start finding their way in our everyday lives. Face detection/recognition in Facebook, augmented reality with Google glasses, gaming with Microsoft kinect, to name just a few. This module, covers emerging topics/applications in the field of Computer Vision, and the underlying Machine Learning methodologies. In the second part we will show how these techniques can be applied to various areas in computer vision. You can find further information on how to apply, including information on transferring from another university, applying if you are not currently at a school or college, and applying for readmission on our How to apply and entry requirements page.
About Your Modules
Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled learning and teaching can take place on any day of the week between 9am and 6pm. For undergraduate students, Wednesday afternoons are normally reserved for sports and cultural activities, but there may be occasions when this is not possible. When not attending timetabled sessions you will be expected to continue learning independently through self-study. This typically will involve reading journal articles and books, working on individual and group projects, undertaking preparing coursework assignments and presentations, and preparing for final assignments. Your independent learning is supported by a range of excellent facilities including online resources, the library and CANVAS, the online virtual learning platform. We will consider a range of alternative Level 3 qualifications such as an Access Course in a relevant science, computing, mathematics or engineering subject which has been passed with 112 UCAS points.
The Making the Most of Masters project provides opportunities for master’s students to undertake work based projects, allowing you to enhance your employability at the same time as studying for your master’s degree. An understanding of the various techniques used to generate procedural content in games, tools and common media editing packages to a cutting-edge standard. You are also taught further graphics, games and general programming techniques and practices.
You will also learn how to design and build scalable interactive applications that are delivered over the web and integrated with a backend database. Projects are framed in an economic, commercial and business context, allowing students to be exposed to professional industry practices in a dynamic and changing environment. Teams will be expected to elicit, analyse and document requirements, applying a variety of software modelling and business modelling principles. Every year, we run the prestigious Dare Academy project, where teams of students are given a unique month-long summer hot-housing experience with games industry mentors to build and polish an industry-standard game. Develop and apply techniques using existing technologies to explore these trends. The principles of computer networks as they are applied to the development of various types of networked computer games.
Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations.
For students who do not already hold a GCSE in English Language at Grade C/4 or above Standard Level English Language English A – Grade 4 or above or English B – Grade 5 from the IB will be accepted. Considered with two A-levels or equivalent level 3 qualification one of which must be in a Technology, Science, Mathematics or Computing related subject. The University has put in place measures in response to Covid-19 to allow us to safely deliver our courses. Our brand new £70 million pound building, STEAMhouse, will become the new home for the School of Computing and Digital Technology from the start of the 2022 academic year. Are equipped to be familiar with a variety of contemporary industry tools and agile enough to respond to new technologies and consumer trends.
Applicants will typically be required to pass the Diplôme de Fin d’Études Secondaires at an overall grade of 46, to include any essential subject at grade 44. Applicants will typically be required to pass the Baccalauréat Libanais or Baccalauréat II with 14, to include any essential subject at grade 12. Applicants will typically be required to pass the Upper Secondary School Leaving Certificate at grade 4.0, to include any essential subject at grade 4. Applicants will typically be required to pass the Diploma di Esame di Stato at 80%, to include any essential subject at grade 8 or grade 16 .