This degree follows the same programme as its full-time equivalent but is spread over two or four years.
Module enrolment for each year is discussed with the Course Director at the start of the course.
Dr. Dan Smith
95% of research activity was classified as internationally leading, excellent or recognised in the 2008 Research Assessment Exercise.
Our Masters programmes are accredited by the BCS - The Chartered Institute for IT to full Chartered IT Professional (CITP Further Learning Element) as well as leading to Chartered Engineer (CEng) status.
The School maintains close links with industry and many of our student assignments relate to real world problems.
The School of Computing Sciences leads the university in utilizing its internationally recognized research commercially, through SYS Consulting, its Consulting company and through Knowledge Transfer Partnerships.
This module explores basic information systems development and considers the stages and tools used in the traditional lifecycle approach. Although the main focus will be on describing the various methods used in contemporary development, time will also be spent looking at wider topics vital to the successful completion and implementation of information systems, such as stakeholder participation, prototyping and evaluation. The lecture course will be complemented by an individual project to explore an aspect of information systems development. More...
Option A Study (40 credits)
Students will select 40 credits from the following modules:
This is an applied statistics module designed to give Masters students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have done some background in probability and statistics before taking this course. The aim is to cover 4 topics from a list including: Estimating population abundance; Extremes and quantiles; Linear models; Bootstrap methods and their application; Sample surveys; Simulations; Subjective statistics (MCMC); Forecasing; and Clustering methods. If there is a demand for a specific topic we will always consider providing a project in that area if possible. The assessment will be by coursework. More...
This module is designed for postgraduate students studying on MSc courses. The module explores the methodologies of Knowledge Discovery and Data Mining (KDD). It aims to cover each stage of the KDD process, including data gathering, preliminary data anaylsis or data exploration, data cleansing, pre-processing and the various data analysis tasks that fall under the heading of data mining. Through this module, students should gain knowledge of algorithms and methods for each stage of the process, as well as practical experience using leading KDD software packages throughout all of the stages of KDD process. More...
This module provides an overview of the philosophy and development of database technology. Practical experience of database manipulation is provided through the use of SQL and the Java JDBC interface on the IBM DB2 database management system. Database design is introduced using Entity-Relationship modelling and normalisation. More...
This unit explores the development of industrial-strength distributed information systems for Web-based implementations, using date-centric softeware engineering principles. Topics include: dynamic object-oriented system design, the use of persistent objects with relational databases, business models, business objects, XML and practical design and implementation for an architected n-tier, server-based systems environment. The use of these techniques for both e-Commerce and other systems will be discussed, using the J2EE platform for practical exercises. Considerable use is made of both advanced Java programming and relational databases, requiring prior knowledge of these subjects. More...
An introduction to Human Computer Interaction including user interfaces on conventional computers and small footprint devices (e.g. PDAs and smart mobile phones). Human-Computer interactions are approached from a variety of perspectives: cognitive, ethnographic, socio-technical and systems theoretic. The module covers aspects of cognitive psychology and ethnographic methods necessary to understand and evaluate HCI. It brings together established practice and newer perspectives in order to fully understand what is meant by the usability and accessibility of modern interactive systems. More...
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines, surveys multimedia and cross-language IR, reviews, current NLP techniques and their role in IR. More...
This module surveys the current and emerging technologies of the Internet and its impact on society, particularly e-commerce. The practical part of the module concentrates on the design and integration of web sites, using a range of tools and techniques in current use. More...
This unit draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. It will introduce, and put into context, topics crucial to the discipline of computer-based systems engineering (CBSE). Topics include: concept protection and exploitation; financing; the nature of systems; computer-based systems (CBS); systems failure; managing both systems and computer-based systems projects; total quality management; quality assurance and quality control; the maintenance of CBS; metrification, and risk management in CBS. This unit is supported by a series of industrial case studies and includes speakers from industry (as available). More...
This is the second year of your taught Masters programme.
Compulsory Study (80 credits)
Students must study the following modules for 80 credits:
Reserved for postgraduates in the School of Computing Sciences, this module provides the student with a piece of individual work, with substantial research and practical elements. The subject of the dissertation will be determined by agreement between the student and his or her supervisor. The work may be undertaken as part of a large collaborative or group project. More...
A module that provides students with the training of some transferable skills, an overview of research methods used in computing sciences, and introduces individual students to background material preparatory to their dissertation project which they would not otherwise study systematically to the required depth. The learning objectives for this module are to enable students to approach the dissertation with the intellectual and practical skills necessary to successfully complete a masters dissertation in Computer Science. More...
Option A Study (40 credits)
Students will select 40 credits from the following modules:
This is an applied statistics module designed to give Masters students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have done some background in probability and statistics before taking this course. The aim is to cover 4 topics from a list including: Estimating population abundance; Extremes and quantiles; Linear models; Bootstrap methods and their application; Sample surveys; Simulations; Subjective statistics (MCMC); Forecasing; and Clustering methods. If there is a demand for a specific topic we will always consider providing a project in that area if possible. The assessment will be by coursework. More...
This module is designed for postgraduate students studying on MSc courses. The module explores the methodologies of Knowledge Discovery and Data Mining (KDD). It aims to cover each stage of the KDD process, including data gathering, preliminary data anaylsis or data exploration, data cleansing, pre-processing and the various data analysis tasks that fall under the heading of data mining. Through this module, students should gain knowledge of algorithms and methods for each stage of the process, as well as practical experience using leading KDD software packages throughout all of the stages of KDD process. More...
This module provides an overview of the philosophy and development of database technology. Practical experience of database manipulation is provided through the use of SQL and the Java JDBC interface on the IBM DB2 database management system. Database design is introduced using Entity-Relationship modelling and normalisation. More...
This unit explores the development of industrial-strength distributed information systems for Web-based implementations, using date-centric softeware engineering principles. Topics include: dynamic object-oriented system design, the use of persistent objects with relational databases, business models, business objects, XML and practical design and implementation for an architected n-tier, server-based systems environment. The use of these techniques for both e-Commerce and other systems will be discussed, using the J2EE platform for practical exercises. Considerable use is made of both advanced Java programming and relational databases, requiring prior knowledge of these subjects. More...
An introduction to Human Computer Interaction including user interfaces on conventional computers and small footprint devices (e.g. PDAs and smart mobile phones). Human-Computer interactions are approached from a variety of perspectives: cognitive, ethnographic, socio-technical and systems theoretic. The module covers aspects of cognitive psychology and ethnographic methods necessary to understand and evaluate HCI. It brings together established practice and newer perspectives in order to fully understand what is meant by the usability and accessibility of modern interactive systems. More...
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines, surveys multimedia and cross-language IR, reviews, current NLP techniques and their role in IR. More...
This module surveys the current and emerging technologies of the Internet and its impact on society, particularly e-commerce. The practical part of the module concentrates on the design and integration of web sites, using a range of tools and techniques in current use. More...
This unit draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. It will introduce, and put into context, topics crucial to the discipline of computer-based systems engineering (CBSE). Topics include: concept protection and exploitation; financing; the nature of systems; computer-based systems (CBS); systems failure; managing both systems and computer-based systems projects; total quality management; quality assurance and quality control; the maintenance of CBS; metrification, and risk management in CBS. This unit is supported by a series of industrial case studies and includes speakers from industry (as available). More...
Disclaimer
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. Where this is the case, the University will endeavour to inform students.
Entry Requirements
Degree Subject:
Computer Science, Information Systems or a related subject.
Degree Classification:
Good first degree (minimum 2.1 or equivalent).
Students for whom English is a Foreign language
We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:
IELTS: 6.5 (minimum 6.0 in all components) TOEFL: Internet-based score of 88 (minimum 18 in listening, 21 speaking, 19 writing and 20 reading) PTE (Pearson): 62 (minimum 55 in all components) Test dates should be within two years of the course start date.
Other tests such as TOEIC and the Cambridge Certificate of Advanced English are also accepted by the university. Please check with the Admissions Office for further details including the scores or grades required.
INTO UEA and INTO UEA London run pre-sessional courses which can be taken prior to the start of your course. For further information and to see if you qualify please contact intopre-sessional@uea.ac.uk (INTO UEA Norwich) or pseuealondon@into.uk.com (INTO UEA London).
Fees and Funding
Tuition Fees 2013/14
UK/EU £5,000
International £12,500
Funding
International applicants applying to this course can be considered for one Faculty of Science half fees scholarship or one £2000 scholarship. The deadline is 1st April 2013.
Faculty of Science Scholarships Students wishing to apply should submit an essay answering the following question in 1000 words: 'Taking an organisation with which you are familiar as a case study, describe the biggest issues it has with its information systems and the changes that might feasibly be made to improve them. In particular, you should consider management practices, approaches to analysis and design, and the impact that agile methods could have (or have had if the organisation already uses an agile approach). Your analysis of the issues and proposal for change should be clearly related to recent published work in the area'. Essays should be emailed to the Admissions Office. Please ensure you include your full name, the course you have applied to, and your applicant number in your email.
For more information please contact the Computing Sciences Postgraduate Admissions Office (cmp.pgt.admiss@uea.ac.uk).
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
