The MA in Digital Media is unique in its combination of practical and theoretical approaches to contemporary media and technology.
The established and exciting degree is designed to help you understand digital transformations in media, culture and society and apply this understanding in practice, in the media and creative industries and in further research. You will be equipped with skills that can be applied to current and future developments in digital media, social media, computing and other aspects of technology.
The MA in Digital Media educates aspiring media practitioners and academics as well as early and mid-career professionals who seek to reflect on their roles in a structured and stimulating learning environment designed to give all students up-to-the-minute knowledge of digital media and the skills to apply that knowledge to future developments.
The MA offers two pathways:
Pathway 1 is a theory programme where you learn about developments in digital media and technology from a wide range of perspectives
Pathway 2 is a theory and practice programme where you can explore transformations in media, culture and society through the practice of contemporary digital communication. You will work with one or more of the following to create installations, apps and single- and multi-screen work that's responsive to the continually changing digital landscape:
Acclaimed academics and practitioners
Benefit from the experience and expertise of one of the world’s leading media and communications departments. The programme is co-convened by Professor Joanna Zylinska and Daniel Rourke, and you will be taught by theorists and practitioners of international standing.
Work placements and internships
The MA in Digital Media regularly attracts offers of work placements and internships. In the past these have come from Google, The Science Museum and N1creative.com. There is also £6,000 bursary available for UK students studying this course. Find out more about the Stationers' Postgraduate Bursary Scheme on our departmental awards page.
Our students have access to state-of-the-art facilities including well-equipped lecture and seminar rooms, exhibition spaces, computer facilities and digital media suites.
The department is also currently host to the renowned philosopher of media and technology, Bernard Stiegler and students will have access to his modulein Media Philosophy as well as priority access to the innovative and popular option After New Media. Designed to complement the MA in Digital Media, this course provides a framework for thinking about the current media environment as well as future forms of human and computer interaction.
An established record
The MA in Digital Media has been redefining media theory and practice since 2004. Our students become proficient in:
MA Digital Media students have access to the pioneering option ‘After New Media’, currently a non-assessed online module which explores the themes of self mediation, ethical mediation and intelligent mediation, and develops a framework for thinking about 'life' after new media. As well as accessing a series of podcasts, students are offered reading groups and a masterclass with Professor Sarah Kember co-author of the book Life After New Media on which the course is based.
The programme consists of:
Seen take-home paper; essays; dissertation or practice/theory project and other production work for image-making.
We provide graduates with skills that are cutting edge: in the critical analysis and/or creative production of digital media; in the disciplinary knowledge and conceptual frameworks necessary for current and future forms of media and technology; in the awareness of how digital media and technologies are re-shaping society from the ways we communicate (through social media and web 2.0) to the increasingly ‘smart’ environments in which we live.
Our programme provides a theory and practice pathway and prepares students for work in the following areas:
Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.
Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don’t even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master’s specialisation in Data Science you’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
Although this Master’s is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.
- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.
- We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
- Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).
- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.
See the website http://www.ru.nl/masters/datascience
- A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of >575(paper based) or >90 (internet based)
- IELTS score of >6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher
A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data:
- To come up with a creative and useful solution.
- To find or program the right tool to turn the data into knowledge.
- To communicate the obtained findings to others.
By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.
The job perspective for our graduates is excellent. Industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis, or start up their own company in data analytics.
Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.
Data nowadays plays a role in almost every scientific discipline as well as industry and is rapidly becoming a key driver of scientific discoveries, business innovation, and solutions for societal challenges such as better healthcare. Medical scientists are sequencing and analysing human genomes to uncover clues to infections, cancer, and other diseases. With huge telescopes, astronomers generate terabytes of data per hour to study the formation of galaxies and the evolution of quasars. Businesses like Google and Amazon are sifting social networking and user preference data to fulfill desires we don't even know we have. Police employing seismology-like data models can predict where crimes will occur and prevent them from happening.
It is then with good reason that data science has been called the sexiest job of the 21st century. Many companies complain about the difficulty to find skilled data scientists and predict this to be even harder in the future. A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.
See the website http://www.ru.nl/masters/datascience
The MSc Economics and Management programme is a specialist multidisciplinary degree delivered jointly by the Department of Managementand the Department of Economics - one of the largest and most esteemed Economics departments in the world, renowned for its research and contributions to the development of the subject area.
The programme is aimed at students with a strong analytical and quantitative background, and offers an unparalleled experience to challenge your perspectives on the way firms and markets operate, and to develop lifelong skills as a talented and innovative manager and economist. Combining an exceptional level of analytical training in economics with the more applied scope of a management degree, this is a unique programme.
The curriculum aims to develop your intellectual understanding of business strategy management, econometrics, and markets in the global contexts in which they operate. This well-balanced training as a manager and economist will enable you to graduate with the ability to tackle complex decisions, deal with unknown changes in today’s rapidly changing world, and champion new ideas to drive innovation in firms and markets.
This programme will provide you with an exceptional foundation to progress either to PhD-level study or to employment opportunities in your chosen career path.
The programme is taught and directed by highly eminent economist Professor John Sutton.
LSE is ranked #5 in the world for its reputation with employers, and Economics and Management graduates have taken roles across a variety of sectors, in companies around the globe. Common career paths are consulting and finance, with graduates taking up roles with employers such as McKinsey, Deloitte, BCG, HSBC, Citi Group and Merrill Lynch. However opportunities are extremely broad, and Economics and Management graduates have also gone on to excel in careers in a wide range of organisations, from Google to the World Bank.
Here are some examples of the companies and organisations which our alumni now work for:
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.
See the website http://www.ru.nl/masters/ai/computation
Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.
Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.
- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.
See the website http://www.ru.nl/masters/ai/computation
The Double MA in Global Governance in PAIS at Warwick and the Balsillie School of International Affairs at the University of Waterloo offers you an opportunity to study in one of the UK's best politics departments in combination with Canada's leading school of international affairs.
As a hub of international excellence in teaching and research, PAIS is positioned to deliver the kind of teaching and supervision that will stretch your understanding while also supporting you along the way. Meanwhile, the University of Waterloo, located at the heart of Canada’s technology hub, is a leading comprehensive university with 35,100 students in undergraduate and graduate programs. Consistently ranked Canada’s most innovative university, Waterloo is home to advanced research and teaching in range of subjects. The Balsillie School of International Affairs (BSIA) is an equal collaboration among the Centre for International Governance Innovation (CIGI), the University of Waterloo (UW), and Wilfrid Laurier University (Laurier). The unique integration of the collaborating institutions’ approaches and cultures gives BSIA an unmatched ability to promote vigorous engagement across boundaries of discipline and practice, to connect today’s experts with tomorrow’s leaders in critical debate and analysis, and to achieve—in all its work—the highest standards of excellence.
Students who participate in the double degree program get the best that both programs have to offer and receive degrees from prestigious and internationally recognized institutions. Students choose between two routes, either carrying out the first year of their studies at the University of Warwick before proceeding to Waterloo in their second year to complete their degree, or beginning with the first year at Waterloo and then completing the second year at Warwick. Students who begin in Waterloo receive credit with Warwick and complete a two-year degree program at Warwick in only one year.
For specific questions about the MAGG program, please consult the Frequently Asked Questions page.
The Double MA in Global Governance allows you to start the programme either at Warwick or at Waterloo. During your year at Warwick, you can follow any of our single MA programmes, taking modules in the areas that matter to you. During your time at Waterloo, you will follow the MA in Global Governance, which also offers great flexibility in module choices. All students are required to spend the equivalent of one academic term as an intern working on global governance issues in the public or private sector, at a research institute, or for a non-governmental organization. The work-term will normally take place in the third or fourth term of the program. Students receiving the CIGI Graduate Fellowship have the option of counting their internship work at CIGI over the year (which amounts to approximately 10 hours/week over three terms) as meeting the internship requirement for the program, allowing them to finish the program in three terms rather than the typical four.
Benefits of doing a double degree:
Project management is a highly valuable skill, involving the coordination of multiple work streams to deliver projects on time, within budget and resource constraints, and according to stakeholder expectations. To be a successful project manager you need to be a strong communicator, with the leadership skills to inspire widespread engagement with the project.
This MSc Project Management will focus on developing your competence as a well-rounded project or programme leader alongside the wider leadership and management skills required to succeed in any organisation or sector. Live industry projects play a key role and have involved clients such as Volvo, Airbus, Balfour Beatty, the NHS and Google.
-Part-time Masters degree based in Central London
-Continue working while you study with lectures delivered on 18 weekends throughout the 2 year course
-Develop your knowledge within the context of project environments, with a focus on the importance of people and project teams in achieving success
-Accredited by the Royal Institution of Charters Surveyors (RICS)
-Undergraduate degree not essential for entry
Our part-time MSc Project Management course is taught at our London Campus by our experienced academics and expert practitioners.
This MSc in Project Management will focus on developing your competence as a well-rounded project or programme leader alongside the wider leadership and management skills required to succeed in any organisation or sector.
Key study areas include risk and value management, project economics, project strategies, sustainable project management, and partnership and collaboration. You will develop your knowledge within the context of project environments, highlighting the importance of people and project teams in achieving success. Live industry projects play a key role and have involved clients such as Volvo, Airbus, Balfour Beatty, the NHS and Google.
This part-time programme is designed to allow you to fit your studies around your busy schedule and as such this work related award is delivered across 18 weekends over a two year period. It is also designed to allow you to relate your assessments back to your workplace, projects and programmes you are familiar or organisations in which you aspire to work. The programme is assessed through modular assignments and a final dissertation, with no examinations.
Overall, the programme uses a combination of teaching and learning materials and techniques including:
-Workshops delivered at weekends to enable face to face learning and interaction with fellow learners and tutors.
-Self-study materials, providing knowledge and understanding, and helping you to apply ideas to your workplace.
-Work-related assignments that give you an opportunity to develop and demonstrate your knowledge and understanding and provide evidence of competence.
-Face to face or on-line tutorials where required to support your learning.
We offer extensive student support in and outside of the classroom with a dedicated student support team based in London.
You will study a range of topics across an intellectually stimulating set of modules designed to provide you with a thorough understanding and expertise in various management issues. You can expect modules such as Project Change, Risk and Opportunities Management and People in Project Management. You will also complete a final Research Project, giving you the opportunity to investigate an area of particular interest and demonstrate academic excellence.
Please visit the course page for more information on module content.