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.
This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. You will gain advanced knowledge in areas such as data mining, machine learning, and data visualisation, including state of the art techniques, programming toolkit, and industrial and societal application scenarios. We offer a conversion module that contains a series of optional tutorials at the beginning of semester one to equip students with the essential background material in computational thinking, maths and statistics, which are essential for this course. These tutorials are available to all students on the course, but may be particularly recommended for those graduates without a computer science background.
Semester one: Machine Learning; Foundations of Data Science; Data Visualisation; Cloud Application Development; Foundations of Artificial Intelligence; Evolution of Complexity; Intelligent Agents; Foundations of Web Science.
Semester two: Data Mining; Advanced Databases; Advanced Intelligent Agents; Advanced Machine Learning; Computational Finance; Open Data Innovation; Semantic Web Technologies; Simulation Modelling for Computer Science; The Science of Online Social Networks; Computational Biology; Applied Statistical Modelling; Advanced Computational Methods II.
Plus three-month independent research project culminating in a dissertation.
The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.
Taught by leading academics from Leeds University Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.
Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.
This courseoffers you a rare combination of teaching expertise; the Business School’s academic excellence in Marketing alongside world-class teaching from the School of Geography, which draws on the knowledge of the Centre for Spatial Analysis and Policy.
The University of Leeds is a major centre for big data analytics and you’ll benefit from affiliation with the UK’s Consumer Data Research Centre. The centre aims to make data that are routinely collected by businesses and organisations accessible for academic purposes. Coordinating and analysing this large and complex data has the potential to increase productivity and innovation in business, as well as to inform public policy and drive development.
Read an interview with the academic team to learn more about our expertise and the growing importance of this emerging subject area.
Core modules will introduce you to a range of analytical methods, ensuring you develop a solid foundation in the essential skills for consumer analytics and marketing strategy.
You’ll learn how to analyse geographic data using GIS software and understand the application of this in retail modelling, to evaluate new markets and locations. You’ll study predictive analytics, big data and consumer analytics, business analytics and decision science, and learn how to communicate results through data visualisations.
Alongside this, you’ll learn how to deploy data to inform decisions about marketing strategy. Marketing modules include marketing strategy, consumer behavior and direct, digital and interactive marketing. You’ll also deliver your own data-driven marketing research project for a company.
Optional modules allow you to further your knowledge in a related area of interest, either corporate social responsibility, internal communications and managing change, or applied population and demographic analysis.
By the end of the course, you’ll submit an independent project. You can either research a topic in-depth and submit a dissertation, or gain practical experience through a consultancy project working with an external organisation.
You’ll take the nine compulsory modules below, plus your dissertation, which can be a choice of either a research dissertation or marketing consultancy project.
You'll take one further optional module.
We use a range of teaching methods so you can benefit from the expertise of our academics, including lectures, workshops, seminars, simulations and tutorials. Company case studies provide an opportunity to put your learning into practice.
Independent study is also vital for this course, allowing you to prepare for taught classes and sharpen your own research and critical skills.
Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.
As a graduate of this course you will be equipped with advanced skills in consumer analytics and marketing strategy, ideal for those wishing to pursue a career in consumer data analytics, marketing and/or management.
Due to the digital revolution, companies from around the world and in many industrial sectors have access to greater amounts of data.
The most progressive companies in the world are particularly interested in marketing graduates with strong analytical skills, and typical roles could include marketing or consumer data analyst, direct marketing manager, marketing manager, retail manager, or marketing or management consultant.
As a masters student you will be able to access careers and professional development support, which will help you develop key skills including networking and negotiating, and put you in touch with potential employers.
Our dedicated Professional Development Tutor provides tailored academic and careers support to marketing students. They work in partnership with our academics to help you translate theory into practice and develop your interpersonal and professional business skills.
You can expect support and guidance on career choices, help in identifying and applying for jobs, as well as one-to-one coaching on interpersonal and communication skills.
Read more about careers support at the Business School.