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Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. Read more

Overview

Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. It takes an interdisciplinary approach to focus on spatio-temporal concepts, methods, and tools in the development of computational and visual frameworks from which to explore the past and better understand our present.

The MSc in Spatial eHumanities has been jointly designed by An Foras Feasa and the National Centre for Geocomputation to provide both a historical background and theoretical grounding to the field while providing students with solid skills in contemporary digital methods and technologies, including Geographic Information Systems and 3D computer graphics modelling. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts, humanities, social science, or digital cultural heritage.

Students have opportunities to:

Learn how to use open source and proprietary geographical information systems (GIS) software such as QGIS and ArcGIS;
Become familiar with standards and methods common to digital humanities including XML, TEI, and Dublin Core;
Learn how to create virtual worlds and acquire an expertise in computer graphic design for cultural heritage;
Become actively involved in current Spatial eHumanities projects;
Learn how to encode literary and historical sources, as well as newer sources (such as social media) to identify and visualise spatial and temporal networks and patterns;
Gain practical project-based experience and project management skills by becoming an intern in a cultural heritage institution, a commercial organisation, or a digital spatial project;
Learn programming languages and apply these to spatial and temporal data in the various fields of the arts/humanities, archaeology, and geography.
The course is delivered in our state-of-the-art facilities in An Foras Feasa and National Centre for Geocomputation (Iontas Building, North Campus), which include the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, the Green Screen Studio for audio-visual recording, and the GIS Lab

Course Structure

90 ECTS are needed to complete the Masters. The course is comprised of the following elements:

Required Taught Modules: 40 ECTS*

Elective Taught Modules: 20 ECTS

Project and Dissertation: 30 ECTS

*Required modules include 1) Mapping and Modelling Space and Time; 2) Intro to Geographical Information Science; 3) Digital Heritage: Theories, Methods and Challenges; 4) Digital Humanities Practicum (10 ECTS each). All modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Part-time students are advised to register for ‘Mapping and Modelling Space and Time’ in the first semester, while working for the ‘Digital Humanities Practicum’ in the second year of the course.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’, an intensive 3-week 90-hour pre-semester laboratory-based programming course.

Elective Modules in the second semester provide students with specialised skills either on geocomputation or 3D modelling. Students who don’t register for the pre-semester structured programming module can register for both geocomputation and 3D modelling-related modules therefore getting a much broader specialisation in the field of Spatial eHumanities.

The project and dissertation will be undertaken over the last semester of the course and will be individually supervised or co-supervised by an academic from one or both of the contributing departments.

For students who wish not to write a final thesis, this course is also offered as a postgraduate diploma in Spatial eHumanities.

Career Options

This course would be attractive to professionals in the cultural heritage and library sectors to update existing skills to work specifically with spatial data. It would also be attractive to computer scientists wishing to work with new datasets being created by the cultural heritage sector as well as organisations such as Google (e.g. Google Books, Google Cultural Institute, and Google Maps). This MSc would also be attractive to students wishing to go into fields such as GIS and spatial consultancy, government departments that work with spatial data (e.g. Office of Public Works). Potential graduates would also be skilled in areas of content and data analysis and recommender systems in organisations such as TripAdvisor and Amazon.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH56F/MH57F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. Read more

Overview

Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. It takes an interdisciplinary approach to focus on spatio-temporal concepts, methods, and tools in the development of computational and visual frameworks from which to explore the past and better understand our present.

The Postgraduate Diploma in Spatial eHumanities has been jointly designed by An Foras Feasa and the National Centre for Geocomputation to provide both a historical background and theoretical grounding to the field while providing students with solid skills in contemporary digital methods and technologies, including Geographic Information Systems and 3D computer graphics modelling. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts, humanities, social science, or digital cultural heritage.

Students have opportunities to:

Learn how to use open source and proprietary geographical information systems (GIS) software such as QGIS and ArcGIS;
Become familiar with standards and methods common to digital humanities including XML, TEI, and Dublin Core;
Learn how to create virtual worlds and acquire an expertise in computer graphic design for cultural heritage;
Become actively involved in current Spatial eHumanities projects;
Learn how to encode literary and historical sources, as well as newer sources (such as social media) to identify and visualise spatial and temporal networks and patterns;
Gain practical project-based experience and project management skills by becoming an intern in a cultural heritage institution, a commercial organisation, or a digital spatial project;
Learn programming languages and apply these to spatial and temporal data in the various fields of the arts/humanities, archaeology, and geography.
The course is delivered in our state-of-the-art facilities in An Foras Feasa and National Centre for Geocomputation (Iontas Building, North Campus), which include the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, the Green Screen Studio for audio-visual recording, and the GIS Lab.

Course Structure

60 ECTS are needed to complete the Diploma. The course is comprised of the following elements:

Required Taught Modules: 40 ECTS*

Elective Taught Modules: 20 ECTS

*Required modules include 1) Mapping and Modelling Space and Time; 2) Intro to Geographical Information Science; 3) Digital Heritage: Theories, Methods and Challenges; 4) Digital Humanities Practicum (10 ECTS each). All modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’, an intensive 3-week 90-hour pre-semester laboratory-based programming course which takes place in late August running into early September.

Elective Modules in the second semester provide students with specialised skills either on geocomputation or 3D modelling. Students who don’t register for the pre-semester structured programming module can register for both geocomputation and 3D modelling-related modules therefore getting a much broader specialisation in the field of Spatial eHumanities.

Career Options

This course would be attractive to professionals in the cultural heritage and library sectors to update existing skills to work specifically with spatial data. It would also be attractive to computer scientists wishing to work with new datasets being created by the cultural heritage sector as well as organisations such as Google (e.g. Google Books, Google Cultural Institute, and Google Maps). This MSc would also be attractive to students wishing to go into fields such as GIS and spatial consultancy, government departments that work with spatial data (e.g. Office of Public Works). Potential graduates would also be skilled in areas of content and data analysis and recommender systems in organisations such as TripAdvisor and Amazon.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH52F/MH53F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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The MA in Digital Media is unique in its combination of practical and theoretical approaches to contemporary media and technology. Read more

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:

  • Animation
  • Photography
  • Video and other forms of moving image
  • Software and web design
  • Hybrid forms of image making

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 GoogleThe 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.

Facilities

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:

  • the history, sociology and philosophy of digital media
  • the application of critical conceptual skills to specialist areas and future forms of media
  • multimedia skills in image making (photography, video, animation, graphic art) script writing, journalism and documentary 

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.

Modules & structure

Overview

The programme consists of:

  • Two compulsory core modules
  • Pathway 1 - between two and four option modules (worth 60 credits) OR
  • Pathway 2 - a two-term practice block (worth 30 credits) and either one or two option modules (worth 30 credits)
  • The dissertation or the practice/theory project

Core modules

Assessment

Seen take-home paper; essays; dissertation or practice/theory project and other production work for image-making.

Skills

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.

Careers

Our programme provides a theory and practice pathway and prepares students for work in the following areas:

  • media and creative industries; advertising, marketing and PR (graduates of the MA Digital Media have found work with Virgin Media, Google, the BBC and other leading organisations worldwide)
  • research and academia (graduates from this programme have gone on to study for PhD degrees in higher education institutions around the world and also here with us)
  • media production and new media art (graduates have exhibited, published and produced work in photography, journalism, TV, documentary, film and multimedia)


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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. Read more

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.

Why study Data Science at Radboud University?

- 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

Admission requirements for international students

- 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

Career prospects

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.

Our approach to this field

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

Radboud University Master's Open Day 10 March 2018



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Students will be introduced to the overall digital marketing ecosystem focusing on the skills you will need to effectively plan, design and implement strategies that add value to organisations. Read more
Students will be introduced to the overall digital marketing ecosystem focusing on the skills you will need to effectively plan, design and implement strategies that add value to organisations.

Programme Information

MSc Digital Marketing Strategy focuses on digital design and user experience as well as the digitalisation of interactions between paying customers, free users and business to understand how corporations do business in a digital world. Students will also undertake professional certifications such as the Advanced Google AdWords certificate and Google Analytics certificate.

The programme has a strong industry focus & partnership approach with digital and marketing companies in Dublin, home to the tech and start-up hub of Europe called the ‘Silicon Docks.’ Guest lecturers and speakers include former and current executives from multinational companies including Google, Facebook, Twitter, HubSpot and Microsoft.

Careers Opportunities

Our MSc Digital Marketing Strategy students graduate as a marketing specialist that will help segue you into the industry or sub-discipline of marketing that really interests you. Our graduates pursue their careers in a number of industries including social media, consulting, financial services, operations, pharmaceuticals, transport, travel, education and government, sales & marketing and social enterprises.

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About the MSc programme. The MSc Economics and Management programme is a specialist multidisciplinary degree delivered jointly by the . Read more

About the MSc programme

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.              

Graduate destinations

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: 

  • Ambit Capital
  • American Express
  • Bain & company
  • Boston Consulting Group
  • Capital Markets Company
  • Citi Group
  • Deutsche Bank
  • Deloitte
  • ECB
  • Google
  • Goldman Sachs
  • HSBC
  • HR Net One
  • JP morgan
  • KPMG
  • Management Solutions
  • McKinsey
  • Merrill Lynch
  • Monitor Group
  • Oxera
  • World Bank


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Got a passion for marketing? Hoping to improve your suitability for senior marketing roles? Southampton Solent University’s MA Marketing Management programme can help you to develop an advanced understanding of key marketing concepts, looking at industry practices from a strategic, international and ethical perspective. Read more

Overview

Got a passion for marketing? Hoping to improve your suitability for senior marketing roles? Southampton Solent University’s MA Marketing Management programme can help you to develop an advanced understanding of key marketing concepts, looking at industry practices from a strategic, international and ethical perspective.

- Students are able to tailor the course to their own unique career ambitions, choosing either the ‘digital marketing’ or ‘marketing management’ pathway.
- A range of optional units supplement each pathway, helping students to specialise even further.
- Graduates automatically qualify for membership into the Chartered Institute of Marketing.
- The course is taught by tutors with experience in a wide range of industry roles.
- Guest speakers, networking events, live client briefs and marketing consultancy projects offer students valuable opportunities to interact with the industry.
- Students have the chance to gain PRINCE2 and Google Analytics qualifications alongside their postgraduate degree.
- Flexible study is available, including a two-year part-time variation.

The industry -

The UK’s economic recovery is maintaining a strong pace, with many businesses feeling comfortable enough to focus on growth for the first time since the survival-oriented recession years. Studying a postgraduate degree in marketing positions students perfectly to help drive that growth, delivering quality marketing research and then making decisions accordingly.

The programme -

Core units look at the significance of communication; the development of existing and emerging marketing strategies; new marketing technologies; globalisation; and relationship marketing. Students also learn how best to apply academic theory to real-life marketing scenarios, eventually researching and writing their own 12,000 word dissertation. This is an ideal opportunity to explore an area of marketing that is related to their own unique career ambitions.

Professional qualifications are offered alongside the core postgraduate curriculum. These include Chartered Institute of Marketing, CAM Foundation, PRINCE2 and Google Analytics awards. Professional qualifications of this kind are valued by many employers, giving students an advantage when it comes time to look for work.

Marketing management students also benefit from our strong links with industry, gaining access to a range of exciting guest lectures, live briefs and industry assessments. The Marketing Consultancy Project unit sees students working on marketing projects with either a commercial or not-for-profit business. Past students have completed work for Symantec, Southampton City Council, the Leprosy Mission, the Nuffield Theatre, Cunard, Microsoft, Bath Travel, Morgan Motor Company, Rotary International and Arlington Fleet Services.

The course team can help students to secure additional work placement opportunities throughout the course. Students also have the chance to develop freelance experience by pitching for work at Solent Creatives, our in-house creative agency.

Course Content

Programme specification document - http://mycourse.solent.ac.uk/course/view.php?id=6152

Teaching, learning and assessment -

The course is classroom-based and involves group and individual study. It includes field trips to Morgan Motor Cars in Coventry and local marketing communications agencies.

Work experience -

Several units provide opportunities to work on live projects. For the Marketing Consultancy Project, for example, past students have completed research for Symantec, Southampton City Council, the Leprosy Mission, the Nuffield Theatre, Cunard and Microsoft.

Placements are available during the summer vacation, giving you the chance to work closely with a UK business and, by agreement, undertake research for your dissertation.

Assessment -

Assessment is through individual and group work. There are no examinations.

Web-based learning -

Solent’s virtual learning environment provides quick online access to assignments, lecture notes, suggested reading and other course information.

Why Solent?

What do we offer?

From a vibrant city centre campus to our first class facilities, this is where you can find out why you should choose Solent.

Facilities - http://www.solent.ac.uk/about/facilities/facilities.aspx

City living - http://www.solent.ac.uk/studying/southampton/living-in-southampton.aspx

Accommodation - http://www.solent.ac.uk/studying/accommodation/accommodation.aspx

Career Potential

Our graduates are well placed to pursue high-flying careers in a variety of areas, including strategic management, digital and social media marketing, marketing communications and PR, product management and marketing research.

Suitable roles for graduates include:

- Strategic management
- Digital and social media marketing
- Marketing communications and PR
- Product management
- Marketing research

Links with industry -

We have strong links with industry and welcome regular guest speakers and visiting fellows from industry and commerce.

You’ll have opportunities to complete practical projects and placements during the course.
The course is supported by a number of organisations, including Lawton Communications, Carswell Gould and the Institute of Commercial Management.

Transferable skills -

You will develop skills and knowledge in a range of areas, including business and client communications, market research, marketing planning, presentation, project management, teamwork and marketing strategy.

Tuition fees

The tuition fees for the 2016/2017 academic year are:

UK and EU full-time fees: £5,140

International full-time fees: £11,260

UK and EU part-time fees: £430 per 15-credit unit

International part-time fees: £940 per 15-credit unit

Graduation costs -

Graduation is the ceremony to celebrate the achievements of your studies. For graduates in 2015, there is no charge to attend graduation, but you will be required to pay for the rental of your academic gown (approximately £42 per graduate, depending on your award). You may also wish to purchase official photography packages, which range in price from £15 to £200+. Graduation is not compulsory, so if you prefer to have your award sent to you, there is no cost.
For more details, please visit: http://www.solent.ac.uk/studying/graduation/home.aspx

Next steps

Is it time to take your marketing career to the next level? By combining the skills, knowledge, and professional qualifications gained during your time studying here at Southampton Solent, you’ll be better prepared to work in a range of senior marketing roles.

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The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Read more
The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Other IT enterprises, such as Apple, Oracle, CISCO and Nokia, own products with social computing functions. Similarly, many national and international companies successfully turn significant profits through social network sites such as Facebook, LinkedIn, Yahoo, Twitter, Google, Myspace, Amazon, Sina Weibo, TaoBao, RenRen and QQ.

This programme addresses market demand by providing you with training for understanding, managing, developing, implementing and commercialising interactive social media on the internet. It will train you for advanced technical or managerial roles in new interdisciplinary areas of social informatics and internet computing. You will gain:
• theoretical and practical knowledge of key areas of social business and social computing in today’s industry and research
• key tools enabling you to enhance and apply your skills in management, design and implementation of IT-based solutions to social business and computation domains
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in social commerce and social computing

You will complete eight in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. The precise content of your dissertation project will be discussed and decided with your project supervisor and is subject to approval. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support your learning and research.

Modules

Core Modules
• Cloud Computing
• Project Management
• Research Methods
• Social Media Marketing
• Social Network Analysis
• Social Web Programming
• Dissertation

Elective Modules
• Computer Systems Security
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming
• Social Commerce

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in an IT companies. Some students choose to go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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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. Read more

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.

Our research in this field

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.

Career prospects

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.

Job positions

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

Internship

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

Radboud University Master's Open Day 10 March 2018



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This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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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. Read more

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.

Programme content

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:

  • Dual perspective from different but complementary approaches to the study of politics
  • Huge range of topics to choose from
  • Extensive practical experiences during and after your degree
  • An interdisciplinary approach to the study of the most pressing political and international issues of our time
  • Dynamic international opportunities


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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. Read more

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.

Key facts

-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

What will I study?

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.

How will I be taught and assessed?

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.

Modules

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. 



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Marketing – Digital Engagement Strategy is a graduate certificate program, which provides students with digital marketing skills required in the business world today. Read more
Marketing – Digital Engagement Strategy is a graduate certificate program, which provides students with digital marketing skills required in the business world today. Students will learn to analyze trends in technology, derive insights from data, design content management strategies, and execute plans across paid, owned and earned media. Students will also learn how to develop and evaluate digital marketing strategies to maximize customer engagement and create meaningful interactions in support of business growth.

Included are experiential learning opportunities with a marketer, a retailer or an agency serving clients, allowing students to improve their leadership, entrepreneurial, organizational, project management and teamwork skills, while effectively applying learning in a real-world environment. As part of the course work, students are eligible to earn industry certifications such as Google AdWords, Google Analytics and Facebook Blueprint. This program will make use of blended delivery method and will encourage accessing online tools through BYOD. This program also allows students to develop core skills that may be converted into PDU credits towards an Online Marketing Certified Professional (OMCP) designation.

Optional Co-op
This program includes an optional co-op stream. All students are initially admitted to the non-co-op program stream. At the end of semester one, students may apply for the optional co-op (3rd semester).

Career Opportunities

Career Outlook
-Marketing Manager
-Online Marketing Professional
-Digital Marketing Specialist
-Digital Media Planner
-Manager Performance Marketing
-Web Analytics Specialist

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The Mobile Applications Development program ensures you develop the necessary skills to enter the fast-growing mobile software applications ("apps") development market. Read more
The Mobile Applications Development program ensures you develop the necessary skills to enter the fast-growing mobile software applications ("apps") development market.

In the graduate certificate Mobile Application Development courses, you learn to develop mobile apps for Google Android and Apple iOS devices. In addition to core fundamental courses, the offering covers advanced topics in mobile app development, web and enterprise technologies, user interface (UI) and user experience (UX), emerging technologies and more.

The knowledge you gain is applied in a capstone project to develop mobile apps for business, gaming, health care, social networks, internet of things, and other areas of interest to which your imaginations takes you.

Career Opportunities

Program Highlights
-You learn app development on Google Android and Apple iOS platforms, two of the most popular platforms today.
-The program offers you experience in industry-standard technology.
-Mobile Applications Development courses employ project based learning (capstone project).
-Knowledgeable and approachable faculty members with diverse business experience and academic credentials teach the courses.

Accreditation
Accreditation will be pursued through the Canadian Information Processing Society (CIPS) and the Canadian Technology Accreditation Board (CTAB).

Career Outlook
-Mobile application developer
-Software developer
-Software tester

Areas of Employment
-Software companies
-Government
-Public institutions
-Banks
-Small and medium businesses

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