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Improve your computer science expertise by developing industry-level skills to design, develop and implement web solutions for clients worldwide. Specialise in cloud infrastructure in modern data centres, web application programming and IT security in business. Choose to take an optional 12-week work placement as part of your course, and develop key employability skills.
We’ll cover all aspects of technologies and user environments, along with the skills to create and manage IT solutions. This will include how to apply hardware and software technology to complex user requirements, and ensure their systems are secure. You’ll diagnose problems and respond to operational challenges. You can also build on this by choosing our placement option, allowing you to apply your knowledge in a real-life industry setting, helping you to gain key employability skills for after your degree.
You’ll gain practical experience in our advanced computing laboratories, setting up infrastructure and creating database applications, multimedia tools, browsers and server architecture.
Our course keeps you up-to-date with latest topics and developments in areas such as web applications and e-business engineering. Along the way you’ll acquire the research skills you need to prepare you for your dissertation.
The Masters Project offers a valuable opportunity to do in-depth research on a topic you are particularly interested in For those with business connections, this is a great opportunity to start working on a real-life project, either with a company or in order to prepare for a full time job straight after graduation. Here’s how James’s dissertation project helped him gain his first professional role as an IT Development Consultant
By the end of the course, you’ll have experience covering the full life cycle of a web application, specifically:
- developing the front end and back end of a web app whilst securely storing the data in relational databases
- using ontologies as an alternative to the databases to store information and query it
- recognising the vulnerabilities and learning techniques to build secure systems
- being confident in knowing the infrastructure required to deploy web applications successfully.
From here, you’ll be able to successfully apply your knowledge to the development of any other type of software application (being it mobile, cloud, standalone).
Cambridge is the perfect place to study Computer Science. Recently named the ‚Best UK city to work in’ you’ll have lots of opportunities to gain relevant work experience locally during your Masters and after graduation can expect an average salary of £35,000. (Glassdoor 2016).
Our students move in to a wide range of IT job roles in industry. In addition to specialist and technical roles, our graduates also move into management/project delivery roles including; Software Developer/Engineer, IT Consultant/Project Manager, IT Support Manager, Technical Consultant, Security Engineer, Front End Web Developer, Microsoft Solutions Architect and Application Developer.
You’re also in the perfect position to move into a teaching career in secondary and further education or continue your academic career and move up to our Computer Science PhD.
MODULES & ASSESSMENT
Semantic Data TechnologiesBusinesses, large organisations and government departments at a local and European level are increasingly producing and using large semi structured data generated from data collection from their own activities and from the wider internet and social media. Semantic Data Technologies both identify and interpret the meaning of data according to its context. This module introduces this concept, alongside the key technologies and techniques for storing data and develops the skills needed for sophisticated data management. The technologies supporting the ‚semantic web’ have provided the tools, methodologies and theoretical underpinnings to enable data to be automatically interpreted by machines for knowledge based tasks. These techniques are increasingly being used in a more general approach to handling the kind of non-structured data that is important for recording, evaluating and guiding policy and decision making processes. This module will provide the knowledge and skills for students to structure semantic data, develop ontological models and use these to create knowledge based applications to analyse data, support decision making, enable intelligent access to information and add value to data. After completing this course students will be able to design and implement applications that comply with data re-use standards, utilise the semantic web as well as applying those technologies to the organisation and analysis of big data. The knowledge and skills learned in this module complement those of information system analysis design and data base implementation as well as advanced web server and application development, providing a theoretical and practical base for enterprise wide data handling.
Secure SystemsWith the growth of high bandwidth internet, eCommerce, eBusiness and Virtual Private Networks, security has become a centre-stage issue. This module will raise your awareness of the overarching IT security issues faced by business today, and equip yourself with the necessary understanding to fulfil management responsibilities in information security strategies.
Advanced Web SolutionsCreating Web applications requires different approaches than traditional applications and involves the integration of numerous technologies. This module will enable those who have some experience of software development, architecture technologies and HTML to build complex web solutions and advance to dynamic, database-enabled, framework driven website/intranet programming and applications using the PHP scripting language and MySQL database. As part of this process you will learn about the Model-View-Controller architectural pattern, object-oriented PHP, event-driven programming, and databases and see how they all work together to deliver exciting applications. You will also learn how client-to-server data flows in a web environment and how to control it through the integration of fundamental security techniques in every step of the development process. Furthermore, you will gain an insight into how to use and apply version control and how to use specialised software to integrate it into your projects. Finally, you will learn about web testing techniques and which tools are best used for debugging different parts of the application. This module aims to provide you with an understanding of the issues, principles, techniques and tools associated with the development of rich Web applications, from design to implementation.
Data Centre and Cloud InfrastructureCloud computing and virtualisation are key cornerstones for the delivery of today’s state of the art IT services and applications, underpinned by a key robust infrastructure in modern Data Centres. This data centre infrastructure is the focus of this module starting from first principles with the cloud reference model, which consists of five fundamental layers (physical, virtual, control, orchestration, and service) and three cross-layer functions (business continuity, security, and service management). The varying technologies, components, processes, and mechanisms for each layer and cross-layer function will be studied through a planned set of lectures and laboratory sessions utilizing a virtualised test bed. This module will also place an emphasis on students understanding how the web applications they have developed in other modules, can be deployed in cloud and data centre environments either as virtual appliances or alternative container systems and securely tested. Design principles, underpinning knowledge and technology concepts will be the prime focus of lecture material and during the practicals, students will be apply to put the theory into practice with a range of practical exercises concentrating on infrastructure and security testing skills. The module will be assessed by a two part case study focusing on both the design and (security) testing of a typical virtual infrastructure and data centre environment deploying application containers.
Postgraduate Work PlacementPut your skills into practice during your placement module, with real life issues in a work environment. You will get the opportunity to gain work experience in different environments and tackle issues using problem evaluation, solution and analysis gaining a deeper understanding of the industry/business sector. Learning key soft skills in a professional environment will help to enhance your employability after completing this course. You will have access to support to help you locate a placement but will also be expected to be in good academic standing before being permitted to start the placement. Once in a placement you will be allocated a link tutor within the course team who will visit you and help to ensure the placement runs as expected. At the end of your placement you will be expected to be able to critically reflect on your experience and demonstrate how you have applied your theory and learning to date within a work-based environment by writing a reflective report on the placement, underpinned by a log of work done. This log will help you to demonstrate your professionalism, leadership skills, and knowledge to prospective employers and also gain key communication and personal skills.
Research MethodsGain support and foundations in the research skills needed for your Masters level dissertation. You’ll investigate research activities including project management, research project design and analyses, ethical considerations and dissertation preparation.
Masters ProjectPrepare and submit your Masters Stage Dissertation or Project (worth 60 credits). This involves 600 hours of student commitment and will be presented in a form equivalent to a maximum of 18,000 words. The topic may be drawn from a variety of sources including: departmental research groups, previous / current work experience, the company in which they are currently employed, a lecturer suggested topic or a professional subject of their specific interest (if suitable supervision is available). The project topic will be assessed for suitability to ensure sufficient academic challenge and satisfactory supervision by an academic member of staff. The chosen topic will require the student to identify / formulate problems and issues, conduct literature reviews, evaluate information, investigate and adopt suitable development methodologies, determine solutions, develop hardware, software and/or media artefacts as appropriate, process data, critically appraise and present their finding using a variety of media.