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 has been designed to meet the needs of the global IT industry and 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 interests:
MSc 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.
MSc 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.
Both pathways will help you develop and build on your specific technical expertise, and gain practical, analytical, and highly transferable skills sought after by employers.
MSc Web Technologies:
MSc Web Technologies with Management:
Module list 1:
Module list 2:
On successful completion of the programme you will have improved your skills, confidence and knowledge levels, leading to enhanced career opportunities in different sectors of the IT industry. Alternatively, you may be interested in roles in the public sector, in academia, or through business start-up and growth.
From 2017, eligible Scotland domiciled students studying part-time who meet the residency eligibility can apply for a for a tuition fee loan up to £2,750 per year from the Student Awards Agency Scotland (SAAS).
Full details can be found on the SAAS website. Applications for loans open in April.
Students from the rest of the UK who meet the eligibility requirements may be able to apply for a loan from the Student Loan Company
You may also be able to apply for a government Professional and Career Development Loan
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.
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.
-Part-time Masters degree based in Central London
-Flexible start dates in January, June and September
-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
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.
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.
You will study a range of up-to-date and industry informed set of modules designed to develop your knowledge, skills and competency in a range of computing concepts and issues. You can expect modules such as Mobile App Development and Internet of Things. 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.
This course is your opportunity to specialise in the development of web-based software systems that use databases. During your time with us, you will gain a critical awareness of the methodologies, tools and techniques used for the development of web-based computer systems and an advanced understanding of the techniques used for the development, evaluation and testing of databases.
The course also develops an awareness of the latest developments in the field of advanced databases, data mining and data warehousing. You will also gain substantial knowledge and skills in the deployment of SAS business intelligence software leading towards SAS data miner accreditation, and learn what the Semantic Web and Linked Data are, together with what these technologies enable.
This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and often lead to ideas that you can develop for your MSc Project.
Teaching on this course takes the form of lectures, individual and group class work, topical class discussions and critical case study evaluation.
You will gain hands-on lab experience of using and setting up databases and web-based systems. What’s more, tutorials will give you practice in solving the theoretical and design problems associated with these systems.
With this qualification, you’ll be equipped as web/database designer and programmer, data analytics and miner among other roles. Your experience will be in high demand across all industrial and commercial sectors.
Previous students have gone on to work with companies including British Airways, Google, Hewlett-Packard, Oracle and other IT firms.
Our links with industry include large companies (BT, Oracle, Microsoft) and local companies.
These companies engage with the University by giving guest seminars and often our students will work with them on their MSc Project.
Many of our graduates will go on to further study in our Computer Networks and Telecommunications Research Centre (CNTR)
The CNTR undertakes both pure and applied research in the general field of telecommunications and computer networking including computer networking technologies, wireless systems, networked multimedia applications, quality of service, mobile networking, intelligent buildings, context driven information systems and communication protocols. Much of this work is funded through research grants and supported by industry. In addition, members of the group are actively involved in a range of public engagement courses which aim to raise the awareness of these subjects for the general public and in schools.
Research themes in this Centre include:
The MSc in Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.
The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.
The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale.
The MSc in Data Science provides you with these skills.
Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.
As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files.
The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice.
The programme includes:
You will study the following core modules:
You will also choose from an anually approved list of modules which may include:
Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government.
The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing.
This could lead to a variety of potential jobs including:
Find out more about employability at Goldsmiths.
Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges the scientific community is currently working on. Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.
This Masters programme will foster a new generation of scientists who will be trained in both neuro-computational modelling as well as cognitive neuroscience. Its core topics include:
The programme is suitable for students from a variety of disciplines including - but not limited to - psychology, computing, neuroscience, engineering, biology, maths and physics. Students with no prior programming experience are welcome.
Graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
You will study the following core modules:
You will also undertake a 60 credit research project investigating an aspect of cognitive neuroscience using computational modelling, advanced data analysis methods, or a combination of these techniques. Culminating in a 10,000 word dissertation, the project will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.
You will choose one option from the following two modules:
You will also choose one of the following 4 options:
Please note that due to staff research commitments not all of these modules may be available every year.
Graduates of this programme will have the following assets in their portfolio:
Such a cross-disciplinary profile will make graduates of this Masters particularly competitive on the job market, especially when applying for positions that require complementary expertise and skills.
The course prepares students for employment in areas including cognitive neuroscience, IT consultancy, cognitive robotics, as well as large enterprises developing software systems inspired by human cognition (e.g., web-search engines, systems for natural language processing, information extraction, data mining and human-computer interaction).
The course is also ideal preparation for further study at PhD level.