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Masters Degrees (Database Technologies)

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This programme aims to develop and train graduates with state-of-the-art technical and management knowledge that is urgently needed by our increasingly competitive and global industry. Read more
This programme aims to develop and train graduates with state-of-the-art technical and management knowledge that is urgently needed by our increasingly competitive and global industry. The programme blends software engineering principles, research methodology and database technologies to help broaden the skills and experience of the graduate student.

This programme benefits from the research expertise of the Centre for Innovation Product Development, namely in the area of database and semantic techniques for knowledge-based systems.

The programme has been designed to produce graduates who will assume the responsibility in the acquisition or the design and development of information systems. Due to the strong technical focus on database technologies, students will be well-positioned to pursue industrial certification such as Oracle OCA after graduation.

Stuents will benefit from a range of enterprise software applications such as Oracle 11g (database administration), APEX (web-based application), Adobe Dreamweaver (mobile development).

Previous graduates have been working in a range of fields including IT consultancy, logistics, sales engineering and software development, and overseas government agencies.

The aims of the programme are:

To provide students with an enhanced base of knowledge and current and reflective practice necessary to initiate a career in information and communication technology at the professional engineer level
To enhance specialist knowledge in the area of information and communications technology which build upon studies at the undergraduate level.

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This part-time course is designed for teachers of GCSE or A-level computing/computer science. Read more
This part-time course is designed for teachers of GCSE or A-level computing/computer science. You will gain a firm foundation in the principles of object-oriented programming (software development), design and testing, understanding the role of database systems in information management as well as the theoretical and practical issues that influence the design and implementation of database management, systems and languages, and emerging computing technologies.

This practical course will develop your methods in a number of areas, whilst key skills and techniques of computational thinking and problem-solving are emphasised throughout. You'll also investigate novel application areas and environments where computing can be potentially beneficial.

This programme is run on the Wrexham campus on an intensive block basis, during half-terms and holidays, for 15 days in total.

Key Course Features

-Develop essential computational problem solving skills.
-Design and develop Java programmes.
-You will be able to administer commercially operated database environments to the requirements of education and industry.
-Future and emerging technologies is a fast moving subject and the course will continue to evolve to reflect new developments in this area.

What Will You Study?

You will study 3 core modules:
-Introduction to Programming (Software Development)
-Database Systems
-Emerging Computing Technologies

In the Introduction to Programming module you will study:
-Principles of software design.
-Problem solving techniques.
-Introduction to a programming language (Java or similar).
-Control Structures.
-Assignment and arithmetic.
-Subprograms and modularity.
-Object-oriented programming.
-Testing and documentation.
-Using software tools, writing, compiling, executing, testing and debugging complex programs.

In the Database Systems module you will gain the skills required to create maintain and interrogate a relational database management system. It is a practical course that involves tasks such as:
-Designing a relational database management system.
-Manipulation and data retrieval operations using SQL.
-Defining modifying and deleting tables and views.
-Evaluate the consequences of such actions.

The Emerging Computing Technologies module includes the topics:
-Research, and analysis of current emerging Computing technologies.
-Futurology in the field of computing.
-Technology in Education.
-Internet of Things.
-Robotics.
-Biometrics.
-Wireless and mobile communication.
-Semantic web.
-Legal, ethical and cultural issues in future and emerging computing applications.
-Critically analyse the legal, ethical and cultural implications for emerging and future technologies.

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Assessment and Teaching

Assessment methods include:
Introduction to Programming (Software Development)
-A portfolio of Software design and running programmes.
-A OOP game programme using Greenfoot.

Database Systems
-A Design for a commercial relational database.
-Implementation of the database with running queries.

Future and Emerging Technology
-Group Presentation on an agreed topic.
-Report on the future of the agreed topic.

Career Prospects

On successful completion of the course you will have gained a range of new skills suited to teaching the new GCSE and A Level Computer Sciences courses and as such as these skills will be essential to your career development.

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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This is a specialised programme of study of advanced computing technologies, data science and data analytics focusing on areas of expertise and research specialisation within the Department of Computer Science and Information Systems. Read more
This is a specialised programme of study of advanced computing technologies, data science and data analytics focusing on areas of expertise and research specialisation within the Department of Computer Science and Information Systems. Modules cover state-of-the-art techniques in areas including the management and analysis of 'big data', software development of information systems in cloud, mobile and web-based architectures, and computational methods for intelligent information management and analysis.

You will gain specialist knowledge of the above areas, which you can then employ in analysis of problems arising in the use of advanced computing technologies, evaluation and application of technologies, and research into, and development of, new technologies.

Why study this course at Birkbeck?

Designed for students wishing to advance their knowledge of advanced computing technologies, data science and data analytics.
You may be working in the IT sector already and wish to update your skills, or may intend to pursue a career in IT or a research degree.
Significant coverage of emerging technologies and research developments in areas of growing importance in the IT industry.
You may choose modules in specialised areas leading to the award of an MSc Data Analytics, MSc Information and Web Technologies or MSc Intelligent Technologies.
You will have 24-hour access to several laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.

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This Master's degree in learning technologies provides the technical and pedagogical knowledge necessary for designing, developing and evaluating learning technologies from the perspective of state-of-the-art artificial intelligence and computer science techniques, learning theory and teaching practice. Read more
This Master's degree in learning technologies provides the technical and pedagogical knowledge necessary for designing, developing and evaluating learning technologies from the perspective of state-of-the-art artificial intelligence and computer science techniques, learning theory and teaching practice. It is ideal for those with a background in computing (academic or practitioner) and also for those without a computing background. It develops a sound foundation for entry to a career in learning technologies or to a research degree in the subject.

This Master's programme is targeted towards those with a computing background (academic or practitioner), who wish to move into a career in the development of learning technologies, or to increase their pedagogical and technical knowledge, if they are already working in the learning technologies sector. It will also appeal to those who wish to undertake a 1-year (or 2 years part-time) postgraduate degree with a view to continuing onto an MPhil/PhD based at the joint Birkbeck/UCL London Knowledge Lab.

The programme is also suitable for those without a computing background, who wish to gain knowledge of both the computer science and the learning theory that together underpin the development of learning technologies.

Why study this course at Birkbeck?

Provides academic grounding for the profession of learning technologist.
Taught by senior academics from 2 world-class departments at Birkbeck and the UCL Institute of Education. You will have access to the world-class facilities at both institutions.
Distinctive in its twin focus on computer science and learning theory that together underpin the optimal development of learning technologies.
You will have 24-hour access to several laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.

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Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. Read more
Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. The aim of the programme is to provide graduates with a range of management knowledge and skills, together with a thorough foundation in information management, information technology, and its commercial applications. The programme includes topical case studies, and reflects contemporary developments within the sector. The course is suitable for graduates in a wide range of disciplines, including Engineering, Finance, Social Sciences and other subjects.

Compulsory Modules:

Organisations and People: This module examines key issues arising from contemporary research in organisational behaviour (OB) and human resource management (HRM). It provides an integrated analysis of management, organisations and people, developing the conceptual, strategic and practical skills necessary for managers in complex, global organisational contexts. Specific topics include:

The nature of organisations
Organisation structures: strategy, design and function, job design
Organisation cultures: values, ethics, norms of behaviour
Theories and models of management: classical and contemporary
Individual differences: perception, learning, motivation, equality and diversity
Groups and teams in the organisation
Managing relationships: power, conflict, communication, engagement
Managers as leaders, people developers, coaches
Managing job satisfaction and performance

International Strategic Management: This module analyses strategic decision-making within business. You will develop a critical understanding of the strategic processes of business management, the interconnections with the functional domains of marketing, human resource management and corporate finance, and the management of knowledge systems. Specific topics include:

Concepts of strategic management applicable to business
Prescriptive and emergent strategies
Strategy implementation through capacity building and resource allocation
Managing, monitoring and reviewing strategic change
Organisational designs for strategic advantage
Human resources strategy, marketing and corporate financial strategy
Organisational learning and knowledge management

Management Research: This module analyses the philosophical basis for research in the management sciences, and examines a number of key methodological issues and approaches. Research designs for both quantitative and qualitative research methodologies are developed, including interviews, case studies, focus groups, surveys and experiments. Specific topics include:

Research methodologies and philosophy: positivism and interpretivism
Qualitative research methods and the search for meaning
Selecting a research strategy and design
Data gathering, documentary records, triangulation and mixed methods
Content analysis, conversation analysis, discourse analysis, grounded theory
Quantitative research design and methodologies
Univariate and multivariate analysis, factor, cluster and discriminant analysis

Web Technologies: This module provides an understanding of the basic technologies and structures for developing web applications, including internet resource creation, search techniques and programming languages for creating web content. You will create and use multimedia content in web applications, and gain familiarity with technologies for creating secure web applications. Specific topics include:

Internet concepts; networks; ISO 7 layer model; basic network architecture; routing; domain names; email; ftp; telnet; HTTP
WWW concepts; Internet resources; URI, and URI resolution, URL, URN; relation to XML namespaces; search engines; search algorithms; search engine optimisation
JavaScript; PHP; CSS; programming tools and environments
Multimedia; WWW support for multimedia; file compression
Internet Security; Cryptography; standards for the Internet; public key systems; signatures; authentication; trust management; electronic cash; security issues; firewalls
Web programming; HTML; XML; form input; CGI scripting; Perl programming

Finance for Managers: This module is designed for those who aim to achieve a basic understanding of financial management and control, and who require an understanding of finance in order to manage an organisation effectively. Financial planning and control are central themes, as well as the appraisal techniques of investment projects. Specific topics include:

Principles underlying the preparation of accounting information
Recording business transactions
Preparation and analysis of financial statements
Preparation of budgets, financial planning and control
Costing methods, uses and interpretation of cost data
Investment appraisal techniques

Databases: This module shows how to design a database and intelligently query a database using SQL; and provides an introductory level of understanding in database systems. A mini project is carried out towards the end of the module. This project allows you to complete the entire development process, from informal user requirements, to ER/EER modelling, transformation into relations, normalisation, and finally to the SQL commands to create and query the database. Specific topics include:

Characteristics of a relational database
ER/EER modelling of simple applications
Relational model and relational algebra
Transformation of an ER/EER model into a relational database
Normalisation techniques
Uses of SQL language to create and query a database

Technologies for Internet Systems: This module introduces technologies and tools for Internet Systems and e-commerce systems. Technologies and structures for developing web applications are examined. Technical issues for implementing an e-system, and commonly-available technology components, are covered. You will implement a practical web based e-commerce system using relevant technologies, taking into account current market implementation. Specific topics include:

e-commerce ideas and concepts
Internet concepts; networks; basic network architecture; routing; domain names; email; telnet; HTTP
Architectures and technologies, e-payment, e-commerce software and hardware, e-security, auctions
Design and implementation: HTML, XML, CSS, JavaScript, DOM, SVG
Research awareness: agent-based e-commerce; web services; grid computing; virtual organisations

Information Systems: This module examines the major types and components of Information Systems, their functions, benefits and limitations. The theoretical underpinnings of Information Systems are analysed. You will study the main business and personal uses of Information Systems, and how such systems are developed, procured and deployed. Specific topics include:

Understanding the nature of organisations and the people within them, and their use of information for strategic business purposes
The influence of human and organisational factors on the successful introduction of information systems
Methods and techniques involved in project and programme management
The importance of business processes and techniques for process modelling

Part 2:

For MBA Information Management, you MUST:

Complete two of the following Applied Business Projects: Business Planning; e-Business and Chain Value; Human Resource Management; International Business; Operations Management; Investment and Private Banking.
Write a Computing project, Software Hut. Software Hut is a project in which students (in groups) analyse, design and implement a software product for an organisation.

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This specialist programme in cloud and data technologies focuses on 2 important technologies in the IT industry and their relationship to current and emerging IT industry practice. Read more
This specialist programme in cloud and data technologies focuses on 2 important technologies in the IT industry and their relationship to current and emerging IT industry practice.

You will gain specialist knowledge and technical skills that you can use in the analysis of problems arising in the use of cloud and data technologies, in evaluation and application of their use, and in research into, and development of, new technologies.

Why study this course at Birkbeck?

Designed for part-time students wishing to advance their knowledge of cloud and data technologies.
You may be working in the IT sector already and wish to update your skills, or may intend to pursue a career in IT.
Significant coverage of emerging technologies and research developments in areas of growing importance in the IT industry.
Successful students may proceed to the final year of the part-time MSc Advanced Computing Technologies programme.
You will have 24-hour access to several laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.

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See the department website - http://it.rit.edu/. The Internet has brought a new kind of democracy where all information is created equal. Read more
See the department website - http://it.rit.edu/

The Internet has brought a new kind of democracy where all information is created equal. No longer the sole province of experts and the traditional media, it has become grassroots, viral, and global. The sheer volume and lightning speed of information transfer has changed how the world communicates, educates, learns, and ultimately solves problems. As the Web and its related technologies evolve, users will need help in managing these new tools.

Graduate study in a computing discipline that only focuses on traditional computing approaches is not flexible enough to meet the needs of the real world. New hardware and software tools are continually introduced into the market. IT professionals must have a specific area of expertise as well as be adaptable and ready to tackle to the next new thing—or just as often, retrofit available technologies to help their users adapt to the latest trends. The MS in information sciences and technologies provides an opportunity for in-depth study to prepare for today’s high-demand computing careers. Companies are drowning in data—structured, semi-structured, and unstructured. Big data is not just high transaction volumes; it is also data in various formats, with high velocity change, and increasing complexity. Information is gleaned from unstructured sources—such as Web traffic or social networks—as well as traditional ones; and information delivery must be immediate and on demand.

As the users' advocate, IT professionals also need the critical thinking skills to problem-solve in a wide variety of computing situations, combined with an understanding of the needs of their audience. Just knowing how technology works is no longer enough. Today, computing professionals need to know how to make it all work.

The information sciences and technologies program addresses the Web systems and integration technologies, and the information management and database technology pillars, of the IT academic discipline, along with the additional option of discovery informatics. A special topics option is available to support the creation of a customized area of study. The program is offered full- or part-time, on-campus only.

Plan of study

The program consists of 30 semester credit hours of graduate study and includes four core courses, four or five track or domain electives (depending upon capstone option chosen), and either a capstone experience, thesis, or project.

- Track or domain electives

Students choose track or domain electives from the following tracks. With permission of the graduate program director, students may select the special topics track to fulfill the track or domain electives requirement. See the graduate program director for more information.

- Capstone options

Students may choose between a course-based capstone, a thesis, or a project that builds upon their domain study. The course-based capstone option is 3 semester credit hours. Students who choose this option are required to complete one additional track or domain elective. The thesis and project capstone options are both 6 semester credit hours.

International Students

International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 570 (paper-based) or 88 (Internet-based) are required. Applicants with a lower TOEFL score may be admitted conditionally and will be required to complete a prescribed program in English, along with a reduced program course load.

Additional information

- Prerequisites

It is expected that prospective students will have a background in fundamental information technology concepts including object-oriented programming, website development, database theory and practice, and statistics. Students without the necessary background should complete the prerequisites before applying to the program. However, bridge courses are available to satisfy the prerequisites.

- Bridge program

Students whose undergraduate preparation or employment experience does not satisfy the prerequisites can make up these deficiencies by completing prerequisite bridge courses as prescribed by the graduate program director. The bridge courses are not part of the 30 semester credit hours required for the master’s degree. Grades for bridge courses are not included in a student’s GPA if the courses are taken before matriculation; they are included if completed after matriculation. Since bridge programs can be designed in a variety of ways, the graduate program director will assist students in planning and course selection.

- Maximum time limit

University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Distributed GIS -
This unit discusses the most vibrant and rapidly developing area of geospatial technology. Desktop GIS packages are increasingly looking like the specialist packages for serious users that, in truth, they always were. Now, for the very large majority of people who really only want to look at the location of things, we can offer WebGIS systems that deliver what they need directly into their web-browsers. This unit explains the concepts and methods of Internet GIS, development and its applications. Key elements of the curriculum include: From Desktop to Distributed GI Services; Technologies in Distributed GIS; Building the GeoWeb; Tutorials.

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

Spatial Databases and Programming -
The importance of programming and GIS as part of a larger system, which involves spatial databases, software development and programme coding, has been increasingly realised in GIS practice. This unit aims to develop your geospatial skills in building enterprise oriented databases (e.g. geo-database and server) and creating application-oriented GIS models through programming. This unit also helps you to critically evaluate the issues and trends in enterprise GIS and GIS application development from the perspective of software engineering and geospatial technology. Key elements of the curriculum include: Spatial Databases; Design and Quality; Programming; Tutorials.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

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This course has been designed to enhance your professional abilities, and deepen your knowledge and understanding of emerging, state-of-the-art database technologies. Read more
This course has been designed to enhance your professional abilities, and deepen your knowledge and understanding of emerging, state-of-the-art database technologies. It will equip you with the range of highly marketable, hands-on skills required in data modelling, and in designing, managing, monitoring and administering corporate database systems divisions, information centres and webenabled database applications.

The course combines academic study with Oracle certification training, and you will be encouraged to take the associated Oracle exams and become an Oracle Certified Associate. It is suitable for recent graduates who wish to study for a higher qualification and/or gain relevant technical and professional skills in database systems. It's also a strong course for practitioners looking to enhance their professional abilities, develop their careers, and update their technical skills, knowledge and understanding of state-of-the-art and emerging technologies.

Course content

The course addresses new technologies, and advanced theories and techniques, along with their application, implementation and integration with legacy systems. You will analyse new demands and the application of new technologies in the management of data and information resources, and examine emerging technologies shaping the way data is now processed, accessed, retrieved, structured and modelled.

Embedded into the course are these themes that will help you to develop skills in the use and application of specific area in the database discipline. One theme is related to database administration and the ability to deliver and administer web-enabled database solutions. A second theme is related to database application development, and the ability to deliver web-enabled information systems solutions. The third theme focuses on the role of data architect, and the skills and knowledge needed to organise and design data and manage projects in a way that harnesses potential emerging technologies.

Teaching methods include lectures, student-led activity and smaller, instructor-led groups. You are encouraged to gain greater understanding of topics through practical activity and the use of scaled down versions of real life scenarios. The Oracle training materials that we use will prepare you to take the Oracle Certified Associate (OCA) exams. Assessment usually involves a combination of exams and coursework, leading to a product such as a presentation, group investigation, technical solution, a piece of software or a research review. Exams are normally two hour long and take place at the end of the year.

Modules

The following modules are indicative of what you will study on this course.

Core modules
-BUSINESS INFORMATION SYSTEM POSTGRADUATE PROJECT MODULE
-BUSINESS SYSTEMS PROGRAMMING
-DATA MANAGEMENT AND REPOSITORIES
-DATABASE LANGUAGES
-RESEARCH METHODS AND PROFESSIONAL PRACTICE

Option modules
-DATA WAREHOUSING AND OLAP
-DATABASE ADMINISTRATION AND MANAGEMENT
-DATA VISUALISATION AND DASH-BOARDING
-ENTERPRISE UTILITY COMPUTING
-IT BUSINESS MODELS
-PROJECT MANAGEMENT
-REQUIREMENTS AND SYSTEM MODELLING
-SEMANTIC AND COLLABORATIVE TECHNOLOGIES
-SYSTEMS INTEROPERABILITY
-WEB-ENABLED DATABASE APPLICATIONS
-WEB AND SOCIAL MEDIA ANALYTICS

Associated careers

Graduates can expect to find employment as business systems analysts and designers, data analysts, database administrators, database application developers, database systems consultants, information resources managers, systems designers and systems integrators. Recent graduates have joined a variety of organisations, including Bank of America, Vodaphone, the Metropolitan Police, CGI, Network Rail, Business & Decisions, JCC Payment System, Jacobs Engineering, Virgin Media, Accenture, Chevron and a number of local authorities and NHS trust.

Professional recognition

This course is accredited by the British Computer Society for partial fulfilment of the academic requirement for Chartered IT Professional.

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UNIGIS is a Distance Learning Postgraduate Network in Geographical Information Systems (GIS) jointly run by Manchester Metropolitan University and the University of Salford. Read more

Description

UNIGIS is a Distance Learning Postgraduate Network in Geographical Information Systems (GIS) jointly run by Manchester Metropolitan University and the University of Salford. The UNIGIS network has over 25 years' experience of success in delivering GIS postgraduate courses. Our highly regarded programme is designed to meet the needs of professionals working in the GI industry - or those wishing to enter the sector. UNIGIS aims to provide a deeper and balanced education in GIS.

Although GIS is a relatively new and emerging branch of geography, the UNIGIS network has over 25 years experience of successfully delivering GIS courses at postgraduate level. You study via web-based distance learning.

The application of GIS is growing rapidly in areas such as urban and regional planning, transportation and land use interaction, and retail marketing, which opens up a range of opportunties for graduates of these courses.

Three separate pathways are offered up to MSc level:

Geographical Information Systems (GIS)

Providing a broadly based postgraduate qualification in the field of GIS permitting some choice in application selection. Develop in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by application area and the interactions between data, methods, people and technology.

Applied Geographical Information Systems (Applied GIS)

Helps develop an in-depth knowledge of GIS based methods for monitoring social/human and natural environments. Establish an effective understanding of the spatial interaction of social/human and environmental factors and develop the capability to extract information from a variety of sources and to analyse and assess within a GIS framework.

Geographical Information Technologies (GI Technologies)

Aids critical understanding of the software engineering practices and standards that underpin database and web application development and the methodologies for implementing those practices in a GIS context. A critical understanding of the issues involved in designing the storage and use of geographical data in databases and web-based applications is forged. Also key is proficiency in the design, implementation and evaluation of small scale database and web-application projects.

Common units Year 1

- Foundations of GIS
- Spatial Data Infrastructures
- Databases

Year 2

- Methods in GIS (Core)

GIS

Choose two from:
- Distributed GIS
- Environmental Applications of GIS
- Remote Sensing
- Social Applications of GIS
- Spatial Databases and Programming

Applied GIS

Choose two from:
- Environmental Applications of GIS
- Remote Sensing
- Social Applications of GIS

GI Technologies

Compulsory
- Distributed GIS
- Spatial Databases and Programming

All study routes employ web-based delivery and aim to provide the conceptual and technical framework required for an in-depth understanding of GIS. Each route has either core or elective units available and all incorporate a project and dissertation which involves the design and execution of an original study.

Career prospects

As a UNIGIS student you will be joining an extensive Geographical Information Systems (GIS) community, with representatives in over 30 countries. The application of GIS is growing rapidly in areas such as urban and regional planning, transportation and land use interaction, and retail marketing.

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Geographical Information Systems (GIS) has grown rapidly to become a major component of information technology, creating distinctive methods of data analysis, algorithms and software tools. Read more

Why take this course?

Geographical Information Systems (GIS) has grown rapidly to become a major component of information technology, creating distinctive methods of data analysis, algorithms and software tools.

This course emphasises the acquisition of practical GIS skills. We use a wide range of industry-standard software tools and a structured approach to the analysis of spatial data through project work.

What will I experience?

On this course you can:

Get hands-on experience of using instruments such as GPS, Total Stations and 3D laser scanners
Be taught by experts, who have extensive industrial and consultancy experience and strong research portfolios
Practise your GIS data collection skills in a range of environments

What opportunities might it lead to?

The wide range of career opportunities across public and private sectors and in university-based research, coupled with the rapid rate of technological change, mean that major organisations and industrial firms are finding it essential to update their skills through advanced study. We therefore aim to meet this demand by tailoring our course to the needs of both regional and national markets.

Here are some routes our graduates have pursued:

Environmental consultancies
Geographical information science specialists
Working for the Environmental Agency
Working for the Ordnance Survey

Module Details

The academic year is divided into two parts. The first part comprises the lecture, workshop, practical and field work elements of the course, followed by a dissertation which will take approximately five months to complete.

Here are the units you will study:

Principles of Geographic Information Science: Beginning with an overview of the development of GIS, the first part of this unit examines data sources and data capture, as well as hardware and software tools. The second part deals with vector-based data structures and data management, followed by vector GIS operations, such as overlay and buffering. You will undertake a project to create a GIS of your own, which may be presented as a seminar session. Practical exercises are undertaken using MapInfo. You will then go on to develop an understanding of raster-based approaches to GIS, cartographic modelling and related areas of image processing which are often applied in remote sensing. Topics include raster data models and data compression techniques, raster GIS and cartographic modelling, imaging systems and image processing, geometric correction techniques and GIS/remote sensing integration in the raster domain. Practical work uses MapInfo, ArcGIS - ArcMap and ERDAS Imagine.

GIS and Database Management Systems: Your major focus on this unit will be the use of industry-standard methods and tools to develop competence in the successive stages of database design, development and implementation. You will have an introduction to data analysis techniques, followed by an examination of alternative types of database system and the rules of relational database design. There is extensive treatment of the SQL query language in standard databases and for attribute query within a GIS. You will be introduced to advanced topics including database programming and computer-aided database design. You will also consider the Object-Relational databases and spatial data types, explore the use of spatial queries using the ORACLE relational database management system and examine procedural database programming and web database connectivity. Practical work for this unit uses the ORACLE relational database management system, running in full client-server mode.

Applied Geographic Information Systems: On this unit you will develop a general, inferential, model-based approach to the analysis of quantitative data within a geographical framework. You will examine a range of underlying concepts including model specification, bias, linearity, robustness and spatial autocorrelation. You will subsequently develop these in the context of a unified framework for analysis. Practical work is based on ArcGIS - ArcMap.

Research Methods and Design: This unit will introduce you to the basic principles of research design and methodology, enabling you to develop a critical approach to the selection and evaluation of appropriate methods for different types of research problem.

Modelling and Analysis and the Web: This unit gives you the chance to consider the use of GIS technology for creating terrain models and explore the basics of photogrammetry, as well as analytical and digital techniques for photogrammetric data capture. You will also look at Orthophotography, LiDAR and RADAR systems. ArcGIS is used for spatial analysis, such as buffering and overlay techniques. You will also explore and exemplify data transfer between GIS software systems and technologies for internet-based GIS.

Dissertation: This provides an opportunity for you to pursue a particular topic to a greater depth than is possible within the taught syllabus. It can take a variety of forms, for example GIS-based analysis of original data sources and digital datasets, case studies of GIS adoption in public or private sector organisations, the development of new software tools/applications or the design of GIS algorithms. The final submission takes the form of an extended written report or dissertation of a maximum of 15,000 words.

Programme Assessment

The course provides a balanced structure of lectures, seminars, tutorials and workshops. You will learn through hands-on practical sessions designed to give you the skills in laboratory, computer and field techniques. The course also includes extensive field work designed to provide field mapping and data collection skills.

The majority of assessment takes the form of practical exercises and project-based activity. This enables you to become familiar with industry-standard software systems and develop your skills by applying your newfound expertise in areas that particularly interest you.

Student Destinations

GIS technology is now very widely deployed in many organisations ranging from utility companies, telecommunications networks, civil engineering, retailing, local and national government, international charities and NGOs, the National Health Service, environmental organisations, banking and finance, and insurance. GIS has become an essential part of the world's information infrastructure.

You can expect to go on to find work in organisations such as local authorities, health authorities, conservation organisations, banks and insurance companies, amongst others. Many of our previous graduates are now employed all over the world, working on a whole variety of GIS-related projects in a very wide range of different organisations and industries.

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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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The programme is designed to provide in-depth knowledge and skills within the field of computing. The course is aimed at students who already have a first degree in computing, have some existing software engineering skills, and wish to deepen their knowledge. Read more
The programme is designed to provide in-depth knowledge and skills within the field of computing. The course is aimed at students who already have a first degree in computing, have some existing software engineering skills, and wish to deepen their knowledge. This programme will have a strong focus on how data can be exploited within an organisation and will emphasise the communication of that data to a target audience.

Graduates would undertake a range of tasks associated with IT in organisations, and develop sophisticated solutions to IT problems.

Course Overview

The main themes of the programme are:
-Web based application development
-Database development, deployment and integration
-Project and team management in the computing sector

This programme will equip students with those skills at a high academic level and also crucially enable them to practically implement their knowledge because of the ‘hands-on’ emphasis of the programme.

Each of these themed areas is itself an area of significant international strategic importance and will enable students to gain important and valuable skills.

The Web based application development theme reviews current trends and technologies. Complex challenges faced by web developers are investigated in detail.

The Database development, deployment and integration theme covers the important areas of Data Warehousing and Data Analysis both of which are cited as important skills that are in great demand by businesses.

The final theme, Project and team management will concentrate on developing the skills of project management and systems analysis, both of which are in great demand by employers.

Modules

Part 1:
-Data Warehousing (20 credits)
-Distributed Web Apps (20 credits)
-Leadership and Management (20 credits)
-Managing Information Systems and Projects (20 credits)
-Research Methods and Data Analysis (20 credits)
-Web Technologies for e-Commerce (20 credits)

Part 2:
-Major Project (60 credits)

Key Features

This MSc provides significant technical content which will inform the management decision making process. In this context major organisations such as Tesco, Sainsbury and Amazon have been making significant investment into data warehousing and data mining technologies.

To effectively use this technology requires a large number of people to apply and manage the technology. The price of the technology has reduced significantly since the inception of data warehousing with Microsoft and Oracle supplying the appropriate add-on tools to their database management system products. These factors allow smaller organisations to gain a competitive advantage by utilising the large pool of transactional data that in some cases has been stored for many years.

In an industrial context, students may be required to manage teams of developers in small to large scale projects. To efficiently manage such projects, they will require a significant technical understanding of the issues arising to be able to appreciate the complexity of the tasks to be undertaken.

Indeed, in an SME this role is often fulfilled by a senior member of the development staff with both development and management duties. As either a developer or manager, the graduate would be expected to demonstrate their initiative and be able to use their research skills to rapidly adapt to the demands of new technology.

Assessment

Student works are assessed through combination of course works, lab based practical exams and written exam. The final mark for some modules may include one or more pieces of course work set and completed during the module. Project work is assessed by a written report and oral presentation. Part 2 of the MSc programme requires the student to research and prepare an individual project/dissertation of a substantial nature.

University students who are unable to successfully complete all aspects of the Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).

Career Opportunities

Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems. The programme covers the three themes of Web based application development, Database development, deployment and integration, and Project and Team management in the computing sector.

A significant emphasis is placed on database management and the implementation of applications for manipulating information including both database systems and web applications. Additionally, graduates would be able to lead teams and manage projects.

It is expected that graduates would seek positions such as:
-Project manager (within the Computing field)
-Data analyst
-Database administrator
-Application developer
-Web developer

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This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems. Read more
This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems.

Who is it for?

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors.

Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders.

Objectives

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development.

The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Teaching and learning

Software Engineering MSc is available full-time (12 months) as well as part-time (up to 28 months).

Students successfully completing eight taught modules and the dissertation for their individual project will be awarded 180 credits and a Master's level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight taught modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four taught modules (60 credits) will lead to the award of a postgraduate certificate.

Assessment

Each module is assessed through a combination of coursework and examination.

Modules

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages and evaluating and responding to recent trends in interoperability and software development.

The focus of the course is on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, such as the C++ and Java object-oriented programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, mobile and pervasive computing, cloud computing, big data, and XML-enabled interoperable services. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering. City has one of the largest groups of academics working in the area in London, working on almost all aspects of the area - from requirements, to designing reliable systems for the nuclear industry.

Core modules - there are five core modules:
-Advanced Database Technologies (15 credits)
-Research Methods and Professional Issues (15 credits)
-Service Oriented Architectures (15 credits)
-Software Systems Design (15 credits)
-Advanced Programming: Concurrency (15 credits)

Elective modules - you will be required to take three elective modules, choosing from the following:
-Advanced Algorithms and Data Structures (15 credits)
-Big Data (15 credits)
-Programming in C++ (15 credits)
-Business Engineering with ERP Solutions (15 credits)
-Mobile and Pervasive Computing (15 credits)
-Data Visualization (15 credits)
-Cloud Computing (15 credits)

Career prospects

The MSc in Software Engineering aims to meet the significant demand for graduates with a good knowledge of computing. This demand arises from consultancies, software houses, major software users such as banks, large manufacturers, retailers, and the public services, defence, aerospace and telecommunications companies.

Typical entrants to the course have a degree in an engineering or scientific discipline, and wish to either move into the software engineering field or to the development of software for their current field. Entrants must have previous exposure to computing, especially to programming (particularly in Java or C#) and relational databases (from either academic or professional experience).

From this base, the course provides solid technical coverage of advanced software development, including such widely used languages as C++, Java, UML and XML for which demand is particularly high. The course is therefore quite demanding; its success in providing advanced academic education along these lines is evident from the fact that recent graduates of the course are currently employed in a wide spectrum of organisations.

Of course, the employment value of a master's degree is not just short term. Although on-the-job training and experience as well as technology specific skills are valuable, they can be rather narrow and difficult to validate, and to transfer. The structure of this course ensures that there is a strong balance between the development of particular skills and a solid education in the enduring principles and concepts that underlie complex software system development.

SAP Certification - in parallel to your degree you will be able to register for a SAP TERP10 Certification course at a substantial discount, thus obtaining an additional, much sought-after qualification

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This programme involves advanced software engineering modelling and architecting concepts and practice for designing and building modern enterprise software systems. Read more
This programme involves advanced software engineering modelling and architecting concepts and practice for designing and building modern enterprise software systems. It includes an understanding of system administration and security, distributed programming, contemporary software technologies and a critical understanding of enterprise architectures, frameworks and strategies for building internet-enabled enterprise systems.

The main tasks facing industry at the moment involve the design and development of new internet-enabled systems, the integration of legacy systems into intranets and extranets, and advanced internet publishing. There is a recognised need for the efficient management of the software engineering process using modern approaches to software development management and system administration.

There is also a pressing need for people with skills in designing, building and maintaining modern enterprise systems, project management and management of the software engineering process. These skills should be accompanied by an appreciation of the business context and market forces behind the new technologies.

This programme educates students in the theory, practice, tools and applications necessary for the design, management and deployment of enterprise computing systems. Students can choose options specialising in network technologies, data architectures and database technologies, web services and clouds, or user centred and interactive systems.

Through our short course centre opportunity may also be provided to study for the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate.

The availability of some courses is subject to satisfying constraints that may come into effect in the year of entry. In addition, some options are negotiable, indicating that a course selection will need to be approved prior to the student undertaking the requested option.

Visit the website http://www2.gre.ac.uk/study/courses/pg/com/cgese

Computing - General

Come and study in the award-winning Department of Computing & Information Systems on the magnificent Greenwich Campus. Welcoming home and international students from all backgrounds, CIS provides an exciting, diverse and friendly environment in which to study.

The latest university league table published in the Sunday Times, has rated the computer science department as seventh in the UK for teaching excellence.

What you'll study

Full time
- Year 1:
Students are required to study the following compulsory courses.

PG Project (SST) (60 credits)
Mobile Application Development (15 credits)
Systems Development Management and Governance (15 credits)
Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)
Programming Enterprise Components (15 credits)
Enterprise Systems Integration (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

Students are required to choose 15 credits from this list of options.

Database Architectures and Administration (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Big Data (15 credits)

Students are required to choose 15 credits from this list of options.

Enterprise Web Programming (15 credits)
System Administration and Security (15 credits)
Database Tools (15 credits)
Business Intelligence and Data Mining (15 credits)
Mobile and Network Technologies (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

Students are required to choose 30 credits from this list of options.

Mobile Application Development (15 credits)
Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)

Students are required to choose 30 credits from this list of options.

Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Enterprise Systems Integration (15 credits)

- Year 2:
Students are required to study the following compulsory courses.

PG Project (SST) (60 credits)

Students are required to choose 15 credits from this list of options.

Mobile Application Development (15 credits)
Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)

Students are required to choose 15 credits from this list of options.

Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Enterprise Systems Integration (15 credits)

Students are required to choose 15 credits from this list of options.

Database Architectures and Administration (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Big Data (15 credits)

Students are required to choose 15 credits from this list of options.

Enterprise Web Programming (15 credits)
System Administration and Security (15 credits)
Database Tools (15 credits)
Business Intelligence and Data Mining (15 credits)
Mobile and Network Technologies (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Students are assessed through examinations, coursework and a project.

Professional recognition

This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). For a full Chartered status there are additional requirements, including work experience. Please contact the BCS for further information. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Career options

Graduates from this programme will be proficient in software engineering and can pursue careers in such areas as the integration of legacy systems into intranets or extranets and advanced internet publishing. Students also have an appreciation of the business context and role of market forces.

Find out about the teaching and learning outcomes here - http://www2.gre.ac.uk/?a=643966

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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