Big data is becoming more and more important in fields from science to marketing, engineering medicine and government. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.
You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.
As one of the few schools with expertise covering text, symbolic and scientific/numerical data analysis, we can provide a breadth of expertise to equip you with a variety of skills – and you’ll work as an integral member of one of our research groups when you develop your main project. We also have close links with the Leeds Institute for Data Analytics which is at the forefront of big data research.
You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.
We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.
Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.
From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, semantic technologies and developing mobile apps.
Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.
Want to find out more about your modules?
Take a look at the Advanced Computer Science (Data Analytics) module descriptions for more detail on what you will study.
Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.
Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.
You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.
The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.
Recent projects for MSc Advanced Computer Science students have included:
A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.
Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.
This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.
Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.
Animation is a fantastically diverse medium, and its possibilities are expanding continually. Animators are dealing with new platforms for delivery, new technologies for production and new audiences as the theories and contexts of animation are being developed and understood.
Animation has become an integral element of most feature production through VFX pipelines, documentary production through the use of data visualisation and improved compositing techniques, and a vital part of any interactive production.
In order to address the wide range of potential interests within the discipline of animation, our courses are non-prescriptive in terms of methodology and output and take advantage of extensive classical and digital technical resources.
A large part of your research work on the course will relate to both your chosen way of working and how to position yourself in the wider milieu of animation. You will develop an awareness of how to affect dynamic transformation and movement, whether it’s upon a product, an environment, a data set or a film narrative. You will be required to be resourceful, critical, and above all independent.
*Please note that the one year MA is under review for 2017/18. Applications are currently being accepted for the two year MFA only.
The main focus of your programme, whether you apply for the one year MA or the two year MFA, will be the production of a short animated film. Although there is no set limit, most students produce a piece of between five and 12 minutes in length. This will be part of a substantive body of practical and written work that will also be submitted for assessment.
The one year MA is best suited to candidates who already have experience of studying at ECA.
The two year MFA allows more time to experiment, and importantly, to explore the new opportunities that Edinburgh offers as a location in which to base your studies, and to allow possible participation in the events of the Edinburgh Festival.
While the MA can be completed as a standalone degree in one year, continuation to the MFA is possible. Both programmes include a combination of practical studio work, theory, written studies, professional practice preparation, and a lecture/seminar series, which explores the wider context of your discipline.
It is important to mention that neither of our postgraduate programmes are focused on a particular piece of software, or a particular technique. To this end it is vital that you have some experience of film making before you consider studying with us for either an MA or MFA, we would expect this to be evident in your application portfolio.
Our graduates find work in four main arenas: animation for cinema, broadcast and web platforms; interactive animation; compositing and visual effects; and data visualisation. Many of our graduates have gone on to careers as award winning independent filmmakers or have followed the studio route and worked with companies such as the BBC, Channel 4, Rushes, Aardman, Laika, Passion Pictures, KoLik, and Nexus Productions, or with directors such as Tim Burton and Sylvain Chomet.