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Masters Degrees (Web Technologies)

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In the past twenty years, the web has had a major impact on the way in which we work, live and learn. As the sector continues to grow there is a constant need for individuals and organisations to keep abreast of new developments in the field. Read more
In the past twenty years, the web has had a major impact on the way in which we work, live and learn. As the sector continues to grow there is a constant need for individuals and organisations to keep abreast of new developments in the field. This programme, which is designed to meet the needs of the global IT industry, will give you the advanced skills and expertise to excel in this fast-paced and competitive marketplace.

This fully online programme offers two specialised exit awards; the pathway you choose will depend on your own specific background and circumstances:

PgCert Web Technologies*

If your knowledge and experience of computing are already beyond that of an end-user and you wish to gain enhanced web technologies skills, then this pathway is for you. You will explore cutting-edge technologies and gain a solid grounding in programming and software development.

PgCert Web Technologies with Management*

This pathway, while primarily having a technological focus, will explore key aspects of business and management particularly relevant in an international environment. You will receive a thorough grounding in core management principles, practices and techniques strongly contextualised to web-based applications.

Throughout both pathways, you will develop and build on your specific technical expertise, and gain practical, analytical, and highly transferable skills sought after by employers.

* The course is subject to validation, with further plans to develop a full masters programme.

Special features

• Loans for tuition fees are available from the Students Award Agency for Scotland (SAAS) for eligible Scotland domiciled and EU students, and loans for living costs for eligible Scottish students.
• The course offers two specialist exit awards allowing you to choose according to your own particular circumstances or needs:
• PgCert Web Technologies
• PgCert Web Technologies with Management
• Fully online study allows you the flexibility to study at your own pace and to fit around work and personal commitments
• You can study individual modules for your own professional development or work towards the PgCert

Modules

PgCert Web Technologies pathway

Core modules are:
Modelling on the web
Data analytics on the web
Mobile applications development

[[PgCert Web Technologies with Management ]]

Core module is:
Understanding social media
You will also choose a further two modules from those listed under the Web Technologies pathway.

How will I study my course?

You will study online using the university's virtual learning environment (VLE)

Locations

This course is available Online with support from Perth College UHI, Crieff Road, Perth, PH1 2NX

Funding

From 2017, eligible Scotland domiciled students studying full time can access loans up to 10,000 from the Student Awards Agency for Scotland (SAAS).This comprises a tuition fee loan up to £5,500 and a non-income assessed living cost loan of £4,500. EU students studying full time can apply for a tuition fee loan up to £5500.

Part-time students undertaking any taught postgraduate course over two years up to Masters level who meet the residency eligibility can apply for a for a tuition fee loan up to £2,750 per year.

See Scholarships tab below for full details

Top five reasons to study at UHI

1. Do something different: our reputation is built on our innovative approach to learning and our distinctive research and curriculum which often reflects the unique environment and culture of our region and closely links to vocational skills required by a range of sectors.
2. Flexible learning options mean that you can usually study part time or full time. Some courses can be studied fully online from home or work, others are campus-based.
3. Choice of campuses – we have campuses across the Highlands and Islands of Scotland. Each campus is different from rich cultural life of the islands; the spectacular coasts and mountains; to the bright lights of our city locations.
4. Small class sizes mean that you have a more personal experience of university and receive all the support you need from our expert staff
5. The affordable option - if you already live in the Highlands and Islands of Scotland you don't have to leave home and incur huge debts to go to university; we're right here on your doorstep

How to apply

If you want to apply for this postgraduate programme click on the ‘visit website’ button below which will take you to the relevant course page on our website, from there select the Apply tab to complete our online application.
If you still have any questions please get in touch with our information line by email using the links beow or call on 0845 272 3600.

International Students

An exciting and diverse student life awaits our international students. Choose to study in one of the larger urban centres of the region, such as Perth, Inverness or Elgin, or in one of the smaller towns or island communities, including the Western and Northern Isles. http://www.uhi.ac.uk/en/studying-at-uhi/international

English Language Requirements

Our programmes are taught and examined in English. To make the most of your studies, you must be able to communicate fluently and accurately in spoken and written English and provide certified proof of your competence before starting your course. Please note that English language tests need to have been taken no more than two years prior to the start date of the course. The standard English Language criteria to study at the University of the Highlands and Islands are detailed on our English language requirements page http://www.uhi.ac.uk/en/studying-at-uhi/international/how-to-apply-to-uhi/english-language-requirements

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In the past twenty years, the Web has transformed society and changed the way we work, trade, learn, do science, organise our lives, and play. Read more
In the past twenty years, the Web has transformed society and changed the way we work, trade, learn, do science, organise our lives, and play. The Web is, on the one hand, a network of interlinked computers, protocols, and software and, on the other hand, a socio-cultural phenomenon that influences law, the media, business, science, etc. To shape and work with the current and future forms of the Web, we need to understand its underlying design principles and concepts, relevant issues and techniques, and how these interact and influence each other. The fast changing nature of the Web means that such a deep understanding is essential to understand the latest developments and their potential.

The Advanced Web Technologies pathway is centred around a core theme of the same name, Advanced Web Technologies, and combines it with a choice of closely related yet complimentary themes, including Software Engineering 1 & 2, Making Sense of Complex Data, and Learning from Data. Students following this theme will gain an understanding and insight into the technologies that deliver the Web as we see it today. The topics covered include underlying languages and standards used to represent information on the web; techniques for understanding and managing data and information in a web context; and techniques and technology used to design and deliver web infrastructure.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

Students following the Advanced Web Technologies pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern Wed infrastructure, ranging from the obvious Web developers and system providers to basically all companies employing or developing Web technologies.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.

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Technology is one of the greatest agents of change in the modern world and it represents a significant opportunity and risk for businesses of all sizes. Read more

About this course

Technology is one of the greatest agents of change in the modern world and it represents a significant opportunity and risk for businesses of all sizes. Developers play a central role in how we interact with the online world and employment in the IT industry is expected to grow at nearly 5 times the UK average over the next decade (CIO, 2015).

The demands of our global, data-intensive, knowledge based economy is creating a skills gap and making now the perfect time to gain the skills necessary to meet demand.

Northumbria University’s part-time MSc Web and Mobile Development Technologies is taught by industry experts around leading-edge content, and is designed to give you the knowledge and expertise to fill this gap.

Key facts
-Part-time Masters degree based in Central London
-Continue working while you study with lectures delivered on 15 weekends throughout the 2 year course
-Build a firm grounding in strategic web development skills and mobile development
-Learn how to manage and utilise the opportunities emerging technologies create
-Undergraduate degree not essential for entry

September start

https://www.northumbria.ac.uk/study-at-northumbria/courses/web-and-mobile-development-technologies-london-dtpwmd6/

January start

https://www.northumbria.ac.uk/study-at-northumbria/courses/web-and-mobile-development-technologies-dtpwmt6/

What will I study?

Northumbria University’s part-time MSc Web and Mobile Development Technologies provides a firm grounding in strategic web development skills, with a specific focus on mobile development. Blending training with academic rigour, our programme will enable you to develop the lifelong skills needed to rise to the challenge and opportunity of emerging technologies and engage in the ‘bleeding edge’ field. An area which is notoriously high risk and has an increased potential of unreliability.

You will study the core skills required to gain a deep understanding of contemporary web development, industry practice and analysis which forms the basis of next generation technologies. This programme also focuses on mobile development and web development skills you need to engage and succeed in the cutting edge of technology.

During the programme you will also develop independent research skills to manage risk and identify, recommend and deploy relevant technologies both now and in the future. Throughout the course, you will study with a diverse group like-minded IT professionals, share ideas, and build upon your professional network.

How will I be taught and assessed?

The part-time programme is designed to enable working professionals to fit their study around their work and personal life. The programme is assessed through modular assignments and a final dissertation, with no exams.

All taught lectures are delivered on 15 weekends spread throughout the 2 year period, with approximately 24 hours of taught content per module. You will be expected to invest equal time on self-directed learning and reading.

Our MSc Web and Mobile Development Technologies is a truly blended learning programme, offering extensive student support in and outside of the classroom. We have a dedicated delegate support team based in London to assist you throughout your programme and arrange one-to-one sessions with our experienced faculty.

Read less
Technology is one of the greatest agents of change in the modern world and it represents a significant opportunity and risk for businesses of all sizes. Read more
Technology is one of the greatest agents of change in the modern world and it represents a significant opportunity and risk for businesses of all sizes. Developers play a central role in how we interact with the online world and employment in the IT industry is expected to grow at nearly 5 times the UK average over the next decade (CIO, 2015).

The demands of our global, data-intensive, knowledge based economy is creating a skills gap and making now the perfect time to gain the skills necessary to meet demand.

Northumbria University’s part-time MSc Web and Mobile Development Technologies is taught by industry experts around leading-edge content, and is designed to give you the knowledge and expertise to fill this gap.

Key facts

-Part-time Masters degree based in Central London
-Continue working while you study with lectures delivered on 15 weekends throughout the 2 year course
-Build a firm grounding in strategic web development skills and mobile development
-Learn how to manage and utilise the opportunities emerging technologies create
-Undergraduate degree not essential for entry

What will I study?

Northumbria University’s part-time MSc Web and Mobile Development Technologies provides a firm grounding in strategic web development skills, with a specific focus on mobile development. Blending training with academic rigour, our programme will enable you to develop the lifelong skills needed to rise to the challenge and opportunity of emerging technologies and engage in the ‘bleeding edge’ field. An area which is notoriously high risk and has an increased potential of unreliability.

You will study the core skills required to gain a deep understanding of contemporary web development, industry practice and analysis which forms the basis of next generation technologies. This programme also focuses on mobile development and web development skills you need to engage and succeed in the cutting edge of technology.

During the programme you will also develop independent research skills to manage risk and identify, recommend and deploy relevant technologies both now and in the future. Throughout the course, you will study with a diverse group like-minded IT professionals, share ideas, and build upon your professional network.

How will I be taught and assessed?

The part-time programme is designed to enable working professionals to fit their study around their work and personal life. The programme is assessed through modular assignments and a final dissertation, with no exams.

All taught lectures are delivered on 15 weekends spread throughout the 2 year period, with approximately 24 hours of taught content per module. You will be expected to invest equal time on self-directed learning and reading.

Our MSc Web and Mobile Development Technologies is a truly blended learning programme, offering extensive student support in and outside of the classroom. We have a dedicated delegate support team based in London to assist you throughout your programme and arrange one-to-one sessions with our experienced faculty.

Modules

-Web Engineering (20 credits)
-UX/UI Theory, Experience and Development (20 credits)
-Advanced Web UI Development (20 credits)
-Mobile App Development (20 credits)
-Cloud Computing (20 credits)
-Web Application Security (20 credits)
-Dissertation (60 credits)

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We're passionate about web development - an industry which continues to boom. Our course will enable you to keep pace with this constantly changing sector, giving you the expertise to specialise in the design and development of online applications. Read more
We're passionate about web development - an industry which continues to boom. Our course will enable you to keep pace with this constantly changing sector, giving you the expertise to specialise in the design and development of online applications.

In recent years there has been a strong demand for software engineering skills in building websites, requiring a high standard of programming knowledge. We'll provide you with a thorough grounding in web development programming techniques.

You'll already have professional experience in web or software development, or you could be a graduate from one of our computing courses. We'll give you the ability to develop applications that can easily be displayed across different platforms.

You'll study e-marketing, security, e-commerce solutions, payment systems, web standards, web application architecture and web page design. We'll also improve your understanding of website development technologies and content management systems.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/webappdevelopment_APD

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

The web development industry is thriving - we know this because it's one of the biggest recruiters of computing graduates from our university. Web-based applications are now essential to support business and major organisations around the world, and your skills will be much sought after.

- Web Developer
- Web Designer
- Web Master
- User Interface Designer

Careers advice: The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

If you're a busy professional already working in computing, our course enables you to benefit from learning the latest theories and techniques in web applications development in the space of just a few months.

Experts currently working in web applications development are invited to give lecturers and you'll also meet like-minded students from different industries, allowing you to debate current issues, share ideas and benefit from alternative insights.

Modules

Responsive Web Development
Responsive websites aim at providing optimal viewing experiences across a wide range of devices. You will study the tools and best practice to design, develop and publish data-driven responsive websites.

Design Pattern for Web Application Development
An opportunity to look at the principles behind web application development. You will examine alternative design patterns and frameworks, evaluate and apply them to a case study.

Meg Soosay

Senior Lecturer

"You'll study e-marketing, security, e-commerce solutions, payment systems, web standards, web application architecture and web page design. We'll also improve your understanding of website development technologies and content management systems."

Meg has extensive background in designing and evaluating positive user experiences using computing devices. She applies e-learning methods in her teaching, having worked on a number of JISC and EU-funded projects such as PC3 and EuroPlot. Your teaching team also includes Patrick Ingham, who has been working with android development since the first handsets arrived in the UK. Patrick is a great believer in mobile offering new ways of doing things and crafting better user experiences.

Facilities

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Broadcasting Place
Broadcasting Place provides students with creative and contemporary learning environments, is packed with the latest technology and is a focal point for new and innovative thinking in the city.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This programme is designed to meet the demands of the increasing use of mobile devices, which are being coupled with cloud computing to provide applications and services to users and enterprises. Read more
This programme is designed to meet the demands of the increasing use of mobile devices, which are being coupled with cloud computing to provide applications and services to users and enterprises.

About the programme

A number of prominent technology experts, including Apple CEO Tim Cook, have been proclaiming the focus of software innovation has nearly completely shifted from an emphasis on developing tools for use on full-size personal computers to developing for mobile devices.

The MSc Mobile Web Development programme intends to develop these skills and produce graduates who are in a position to target employment opportunities in software development for the mobile web.

Your learning

Many of the learning outcomes are practical and a large proportion of class time is spent in computing laboratories engaging with the appropriate tools and acquiring practical knowledge. Theoretical knowledge is provided through lectures, tutorials, seminars and individual study. Active learning is promoted through practical assignments. Certain classes and assignments involve problem-solving through analysis, evaluation and the synthesis of a solution reflecting the practical emphasis of the programme.

To achieve a Postgraduate Diploma you must successfully complete the core modules including:
• Web Development
• Mobile and Web Design
• Computing for the Mobile Web
• Ethics for the IT Professional
• Dynamic Web Applications
• Mobile Development
• Security for the Mobile Web
• Research Design and Methods

Msc

The Masters research project and dissertation is necessary for those students seeking an MSc in Mobile Web Development. Part-time students may exit the course with a Postgraduate Certificate in Web Development (as opposed to Mobile Web Development) after completing one of the following module combinations successfully: Web Development and Computing for the Mobile Web with; Dynamic Web Applications or Mobile and Web Design; and Ethics for the IT Professional or Security for the Mobile Web.

Our Careers Adviser says

Graduates are poised for employment opportunities in software development for the mobile web and are well-equipped to undertake employment as mobile and web application developers.

Professional recognition

Accreditation is being sought from the British Computer Society.

Financial support

A limited number of scholarships were available in 2015 – check our website for updates on 2016 information.

Cutting-edge facilities

As you would expect, we offer access to high-quality computing and state-of-the-art software systems as well as tried and tested in demand technologies such as Oracle, CIW, Adobe, CISCO, SAP and Microsoft.

Research and collaboration

We have a proven track record in knowledge and technology transfer in the form of applied research, training and consultancy. More than 65% of our research outputs were rated as world-leading and internationally excellent in the Research Excellence Framework 2014. We are proud that our research expertise informs teaching and our students are taught by academic staff who are at the forefront of their profession.

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Learning how to build the intelligence used to power the future of the Web. The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Read more
Learning how to build the intelligence used to power the future of the Web.
The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Most of us take these technologies for granted. However, for the Web to function as it does numerous problems had to be solved: which pages should surface given your search query? Which status updates will you enjoy most? Or, how do we make sure you find the products that you where looking for?
These questions are solved using a combination of machine learning, and an understanding of users. As our use of the Web steadily grows, new questions are continuously emerging. Smarter and faster solutions to empower an intelligent Web are needed. In the Master’s specialisation in Web and Language Interaction you’ll learn the building blocks you’ll need to answer resolve future problems that arise on the Web. In this you’ll learn to understand the psychological, technical and statistical aspect of data science and other Web issues.
The key course in this specialisation is the new AI at the Webscale course, in which AI techniques are studied in the context of streaming and massive data. This course is complemented by the App-Lab course, aimed at understanding how Apps are set-up, built and evaluated. Covering human cognition, a choice of courses in psycho-linguistics is offered in line with the broad expertise within the Donders Institute.

See the website http://www.ru.nl/masters/ai/web

Why study Web and Language Interaction 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.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Data Science. This will take three instead of two years.

- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- 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 debate and develop their projects. Every student also receives personal guidance and supervision from a member of our expert staff.

Our approach to this field

Language Information and Communication Technology lies at the basis of innumerable innovations in our society and has provided remarkable new services (like social media) and new products (like smart phones and tablets). Traditionally, applications of Artificial Intelligence used to be limited to micro worlds and toy systems. The horizon has now been widely extended to distribute mass applications of AI techniques. These developments are supported by a general availability of computation power and connectivity in the form of the web, social media, big data, wireless, and mobile platforms with input and output in many modalities.

Human-human and human-computer communication can be found in natural language applications like in the speech driven free-text systems such as Watson, and Siri, in brand sentiment detection and epidemic monitoring from tweets. But communication is also crucial for web applications and Apps that personalise information and make it accessible with other means. Examples thereof are voter guides, recommendation systems, click stream analysis, crowd sourcing and demand aggregation, e-therapy, e-inclusion, avatars with speech synthesis and recognition, gesture and emotion. Technical issues are e.g. map/ reduce architecture for massive data processing and emerging technologies like the semantic web.

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: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Web and Language Interaction could get:
- PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient doctor communication in a virtual hospital
- Data Scientist in a web start-up
- Developer for Computer Aided Language Learning
- EU R&D programme leader on machine translation of natural language
- Developer of intelligent software for music studios

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, Finland and the United States.

See the website http://www.ru.nl/masters/ai/web

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The MSc in Human-Centred Interactive Technologies is a full-time, one-year taught course that is intended for students seeking a professional career related to human-computer interaction, user experience, usability or related fields or those wishing to pursue research in the area. Read more
The MSc in Human-Centred Interactive Technologies is a full-time, one-year taught course that is intended for students seeking a professional career related to human-computer interaction, user experience, usability or related fields or those wishing to pursue research in the area. The course is intended for students who already have a good first degree in a computer science or an appropriate discipline related to human-computer interaction or have equivalent industrial experience. The course covers a range of topics associated with designing interactive systems for good usability and enhancing the user experience. The course has been specifically designed for students wishing to specialise in the design and evaluation of interactive technologies.

The MSc Human-Centred Interactive Technologies course was updated for October 2016 entry. The course had been running successfully for eight years, but in that time the landscape of interactive systems has changed considerably, with the growth of iPhones and apps and the introduction of tablet computers. We have also responded to feedback from students who have asked for more integrated modules and more opportunities to practice interaction design.

Course Aims
The aims of the course are:
-To provide a specialist education in the theories of and methods for designing and evaluating interactive technologies
-To provide an opportunity to engage in a rigorous and scholarly manner with a range of current research topics around designing and evaluating interactive technologies
-To provide practical experience of designing and evaluating interactive technologies
-To develop the skills necessary to conduct research, particularly with users, into the design, engineering or science of interactive technologies
-To provide experience of undertaking a sizeable individual project, on a subject related to research in human-centred interactive technologies
-To prepare students for entry into research degrees or industry-based projects

Learning Outcomes
A fundamental objective of the course is to provide students with a sound theoretical knowledge and practical experience of the skills essential to the design and evaluation of interactive technologies. Having completed the course, students will be able to understand theories of the design of interactive technologies and critique individual technologies from a theoretical viewpoint. In particular they will be able to:
(a) choose appropriate methods for empirical investigations for the design, prototyping and evaluation of interactive technologies, including both quantitative and qualitative methods

(b) plan and undertake a range of empirical investigations of existing or proposed interactive technologies at all stages of the development lifecycle

(c) analyse, draw conclusions from and present the results of such investigations, and

(d) conduct a range of expert and theoretical analyses of interactive technologies to investigate their usability, accessibility and appropriateness for different user groups.

Graduates completing the course will be equipped to play leading and professional roles related to the designed and evaluation of interactive technologies in industry, commerce, academia and public service. The MSc in Human-Centred Interactive Technologies is also intended to provide a route into a PhD or research in this rapidly expanding field.

Project

The dissertation project undertaken by students over the summer is carried out individually, which might involve collaboration with another organisation. A collaborative project is still supervised by a member of the Department.

Projects are worth 50% of the total mark for the MSc. Examples of previous projects include:
-A Gesture Language for Interaction with Art and Cultural Artefacts in Museums
-Analysis of WCAG 2.0 Techniques and Remote Evaluation by People with Visual Disabilities
-Cultural issues in design of online banking websites: a Chinese case study
-Evaluating Human Error through Video Games
-Have the Same Image in Mind? Investigation of Personas in Web Design
-Inattention and Immersion in Video Games
-Measuring User Experience of Mobile Phones: a Study with Retrospective Protocol and Emotion Word Prompt List
-The Application of Game Mechanics to a Virtual Learning Environment
-The Design and Evaluation of NHS Pharmacy Dispensing Computer Software
-Using User-Generated Content as Discourses on the Gaming Experience

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent… Read more
Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Course description

Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our student
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Read less
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data. Read more
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the information age and the knowledge economy, data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society.

The Data and Knowledge Management pathway allows students to take specialist themes concerned with methods and technologies for the adequate management of data and knowledge. The Managing Data theme focuses on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modelling, and optimisation, while exposing students to relevant applications. The Advanced Web Technologies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

Students following the Data and Knowlege Management pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern data and knowledge management tools and technologies. This includes data and knowledge engineering positions in all areas where data is stored and managed electronically, i.e., in all areas, including the finance, retail, and healthcare sector.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Computing and Future Interaction Technologies at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Computing and Future Interaction Technologies at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

This Research Masters in Future Interaction Technologies and Human-Computer Interaction (HCI) teaches graduate students to go beyond simply building new software and hardware, to evaluating how they would be used, and how they can be improved.

The MRes is taught by the Future Interaction Technology (FIT) Lab, within the Computer Science. The FIT Lab’s mission is to explore and apply Advanced Computer Science to make interaction technologies dependable, enjoyable and effective. Interaction technologies include mobile devices, the Web, Web 2.0, implants, home TVs, microwave cookers, ticket machines, navigational aids, etc. Furthermore, we aim to work on grand challenges, like improving safety in healthcare, or developing technology to reach the millions and help us live more effective and sustainable lives.

Our Research Masters programme in Future Interaction Technologies mainly concludes of a large individual research project worth 120 credits. Inclusive of this 120 credits is training and experience provided by our Lab & Field Research Methods module. You will spend around 8 months preparing for and working on this extensive project, which provides key experience in performing research-oriented projects. As the MRes has a research focus, you will spend more independent research time building a strong knowledge of research literature and striving to make a novel contribution to the HCI community.

Taught Component

In addition to the research project, you can choose from a range of modules that provide skills and development training in different areas during your studies on the Computing and Future Interaction Technologies MRes.

Modules available currently include:

Human Computer Interaction Project
Development (compulsory)
Interaction Technologies: Lab & Field Work (compulsory)
Interaction Technologies: Seminars & Readings (compulsory)
Research Methodology (compulsory)
Mobile Interaction Design
Interactive Systems Design
Interaction Technologies: Information Retrieval
Interaction Technologies: Hardware & Devices

The MRes in Computing & Future Interaction Technologies is ideally suited for continued academic research, but also provides the necessary skills and key experience to apply research methods in HCI practitioner positions in industry.

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The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. Read more

Overview

The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. The course does not require background in programming or data analysis and for those with no such background appropriate training is offered to catch up with others who already have such training or experience. The course aims to match the needs of business that compete globally in a world driven by advances in information technology. The programme aims to develop both technical and people skills making our graduates ready for jobs that offer high satisfaction and regular challenge at the same time. The first semester of the course is organised into modules delivered intensively over three week periods. The second semester is organised using usual semester-long modules with the difference that all these modules are assessed by coursework only. The summer semester is dedicated to a Master’s level research or development project

See the website https://www.keele.ac.uk/pgtcourses/advancedcomputersciencemsc/

Course Aims

The aims of the programme are to equip students with knowledge of a range cutting-edge areas of computer science research and applications and to prepare students to be successful in a variety of computer science related jobs. The course covers advanced computer science topics, including user interaction design, big data, cloud computing, security, intelligent systems and mobile-oriented web applications. The course also provides a good grounding in collaborative team work and general skills for technology consultants.

Core Modules:

User Interaction Design (15 credits – Semester 1): The module provides the knowledge and skills required for a student to be able to work on User Interaction Design based on an evaluated assessment of the factors associated with a given application or user interaction scenario.

Distributed Intelligent Systems (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances (e.g. TV, fridge, etc. equipped with embedded computers).

Statistical Techniques for Data Analytics (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to store, process, distribute, visualise and analyse large volumes of big data using distributed databases, statistical techniques and machine intelligence methods.

Cloud Computing (15 credits – Semester 2): The module provides the knowledge and skills required for a student to be able to understand the principles of operations of cloud computing and to develop applications for cloud computing environments, e.g. data storage and distribution, software-as-service, interactive content services.

Web Technologies and Security (15 credits – Semester 2): To module provided an understanding of contemporary web technologies used for both server and client side development of web applications, with particular focus on mobile applications, and an understanding of security aspects of such applications and of the defence methods and techniques employed to provide security.

Collaborative Application Development (15 credits – Semester 2): The module places students in a real world scenario requiring co-operation and communication as well as analysis and design skills. This will involve work for a real world client working as a development team.

Problem Solving Skills for Consultants (15 credits – Semester 1 & 2): This module explores skills such as project management, communication and team working and building. It also provides knowledge of ethical, legal and social issues related to the development and deployment of Information Technology.

Optional Modules:

System Design & Programming (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to design software systems and write object oriented programs in an appropriate programming language (e.g. Java, C#).

Research Horizons (15 credits – Semester 1): To module provides the knowledge for a student about a selected computer science research area and the skills required for the development of a mini-project in this area

Project or Industrial Placement

MSc Project or Industrial Placement (60 credits – Semester 3): Provides an integration of concepts taught on the course in either an academic or business environment

Teaching & Assessment

All first semester 15 – credit taught modules, with the exception of one module delivered over two semesters, will be delivered in block mode, i.e. each of these modules will be delivered over a period of six consecutive weeks. In any week at most two block mode modules will be scheduled to be delivered during the first semester. All taught modules in the second semester are delivered along the whole semester.

The taught modules are mainly assessed by coursework, with examinations in some of the modules. Project assessment is based largely on a substantial final report.

Additional Costs

Additional costs may be incurred for text books, inter-library loans and potential overdue library fines. Some travel costs may be incurred if an external project or placement is undertaken; any such costs will be discussed with the student before the project is confirmed. It will be possible for the student to select an internal project and that would not incur any additional travel costs.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

This masters is unique as it provides you with a fundamental understanding of the architectures of Big Data systems as well as developing the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

This course has several different available starts and study formats - please view the relevant web-page for more information:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTA-1718/Big_Data_Technologies_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02860-1FTAB-1718/Big_Data_Technologies?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTAB-1718/Big_Data_Technologies_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems. Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:
-Cloud Computing and Web Services
-Big Data Landscape
-Data Analytics.

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods.

Trimester C:
-MSc Dissertation

Work Placement

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

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Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people’s lives. Read more
Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people’s lives.

Our MSc Advanced Computer Science provides you with the flexibility to master the areas of computing that interest and excite you most. You choose from a range of topics including:
-Intelligent systems and robotics
-Machine learning and data mining
-Human language understanding and text processing
-Computer game development
-Cloud and web technologies
-Computer security
-Evolutionary computation

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from brain-computer interfaces, human language understanding and technology, intelligent and adaptive systems, information and data analysis, robotics and embedded systems, to future networks, optoelectronics and radio frequency and signal processing foundations, with many of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, C++, Perl, MySQL, Matlab, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our graduates have achieved success in a variety of professions. Many have pursued careers in computing and information technology, while others have gone on to work in research organisations or become university academics.

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

MSc Advanced Computer Science
-MSc Project and Dissertation
-Professional Practice and Research Methodology
-Group Project
-Computer Security
-Intelligent Systems and Robotics (optional)
-Text Analytics (optional)
-Advanced Web Technologies (optional)
-Mobile & Social Application Programming
-Information Retrieval (optional)

Read less
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as, anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

Unlike many data science MSc courses, this masters provides you with a fundamental understanding of the architectures of Big Data systems as well as the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Work Placement

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems.

Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:
-Cloud Computing and Web Services
-Big Data Landscape
-Data Analytics

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

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