Masters Degrees (Database)

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 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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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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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 course is ideal for students with a background in science or engineering, but with no previous significant study of Computing or Information Technology. A separate award is available for students with an undergraduate degree in Computer Science. The course aims to expand your knowledge, with a balance of theory and advanced practical skills. Through the development of a general knowledge of information technology it will enable you to independently synthesise information/ideas in chosen areas of the field. It will promote a professional attitude in students wishing to enter employment in the field of information technology and enhance the career prospects of all its students.

What happens on the course?

Assimilate information from journal papers, lectures, text books, original articles, self study notes, selected sites on the internet and personal experience. Reflect on the results of problem solving; making recommendations based on evidence and experience.

Apply a variety of techniques to different technologies in the area of Information Technology, including well-defined and ill-defined situations.

Reflect on the results of problem solving; making recommendations based on evidence and reflection.

Assimilate information from lectures, text books and self study notes. Use of workshops and tutorials to enhance practical skills and design and implement a non-trivial database application.

Assimilate information from lectures, text books and self study notes. Use of workshops and tutorials to develop practical skills in advanced database technology topics.

Work through a number of programming problems in a variety of scenarios during workshop sessions and in assessments, including individual and group-based exercises to reinforce learning. Reflect critically on the attempts of problem solving and personal performance.

Investigate and research in-depth in the subject area of Information Technology, producing a deliverable artefact related to the research undertaken.

The Dissertation will critically reflect on the work undertaken.

Why Wolverhampton?

This course is ideal for students whose undergraduate degree is not either Computer Science, Engineering or a closely allied subject. The first block of teaching rapidly imparts the fundamental postgraduate material for an Information Technology degree. The pace of learning rapidly accelerates and includes. Database Management, Networking and Software Development with a clear focus on providing the students with practical skills complemented by a deep knowledge of these subjects.

Career path

Graduates can find employment within the Information Technology industry as analysts/programmers, business systems analysts, database programmers, database administrators and senior software support technicians.

You could also go on to do further research, or teach in either further or higher education.

What skills will you gain?

At the end of this course you, the student, will be able to:

• Display a thorough understanding of the principles and practices of advanced Information Technology topics; integrate and apply knowledge and skills to complex problems;
• Demonstrate expertise and professional awareness of both current and emerging technologies within the field of Information Technology;
• Critically evaluate the role of communications, architecture, networks and the internet in modern computer systems;
• Make informed decisions on the use of appropriate database techniques and tools and apply these to develop database solutions to non-trivial problems;
• Demonstrate expertise in software construction and implementation; apply well-chosen techniques, tools and methodologies to generate applications;
• Conduct research into advanced areas of Information Technology through analysis and synthesis, demonstrate professional skills in individual project management and the development of related arguments and/or deliverables and communicate conclusions clearly through appropriate media.

Who accredits this course?

Accreditation will be applied for from the BCS, The Chartered Institute for Information Technology.

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The MSc in Data Science & Analytics, jointly offered by the Department of Computer Science and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combination of sophisticated computing and statistics modules will develop skills in database management, programming, summarisation, modelling and interpretation of data. The programme provides graduates with an opportunity, through development of a research project, to investigate the more applied elements of the disciplines.

Visit the website: http://www.ucc.ie/en/ckr49/

Course Details

The MSc in Data Science and Analytics is a significant collaboration between the Departments of Computer Science and Statistics; designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever increasing and complex data. The programme emphasises the application of Computer Science and Statistics methodologies helping transform data into useful information that can support decision making.

Format

A typical 5 credit module:
• 2 lecture hours per week
• 1–2 hours of practicals per week
• Outside these regular hours students are required to study independently by reading and by working in the laboratories and on exercises.

Structure

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits)
- Dissertation (30 credits)

Part 1 (60 credits)

- Core Modules (30 credits) -

CS6405 Data Mining (5 credits) - Dr. Marc Van Dongen
ST6030 Foundations of Statistical Data Analytics (10 credits)
ST6033 Generalised Linear Modelling Techniques (5 credits)

- Database Modules -

Students who have adequate database experience take:

CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen

- Students who have not studied databases take:

CS6503 Introduction to Relational Databases (5 credits)
CS6505 Database Design and Administration (5 credits)

Elective Modules (30 credits)

Students must take at least 10 credits of CS (Computer Science) modules and at least 10 credits of ST (Statistics) modules from those listed below:

CS6322 Optimisation (5 credits) - Dr. Steve Prestwich
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6509 Internet Computing for Data Science (5 credits)
ST6032 Stochastic Modelling Techniques (5 credits)
ST6034 Multivariate Methods for Data Analysis (10 credits)
ST6035 Operations Research (5 credits)
ST6036 Stochastic Decision Science (5 credits)

- Programming Modules -

Students who have adequate programming experience take:

CS6406 Large-Scale Application Development and Integration l (5 credits) - Professor Gregory Provan
CS4607 Large-Scale Application Development and Integration ll (5 credits) - Professor Gregory Provan

- Students who have not studied programming take:

CS6506 Programming in Python (5 credits)
CS6507 Programme in Python with Data Science and Applications (5 credits) - Dr. Kieran Herley

Part 2 (30 credits)

Students select one of the following modules:

CS6500 Dissertation in Data Analytics (30 credits)
ST6090 Dissertation in Data Analytics (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

Postgraduate Diploma in Data Science and Analytics

Students who pass each of the taught modules may opt to exit the programme and be conferred with a Postgraduate Diploma in Data Science and Analytics.

Careers

This programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Graduates will design, compare and select appropriate data analytic techniques, using software tools for data storage/management and analysis, machine learning, as well as probabilistic and statistical methods. Such abilities are at the core of companies that constantly face the need to deal with large data sets.

Companies currently seeking graduates with data analytics skills include: firms specialising in analytics, financial services and consulting, or governmental agencies.

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. This is one of the first MSc programmes in the UK covering these leading-edge technologies. The programme provides students with the deeper knowledge, advanced skills and understanding that will allow them to contribute to the development and design of big data systems as well as distributed/internet-enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data analytics, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, etc.).

Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet. The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.

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; Oracle Certified Associate (OCA).

Full time

Year 1

Students are required to study the following compulsory courses.

• PG Project (CIS) (60 credits)
• Data Warehousing (15 credits)
• Database Architectures and Administration (15 credits)
• Database Tools (15 credits)
• Business Intelligence and Data Mining (15 credits)
• Enterprise Systems Integration (15 credits)
• Big Data (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.

• Requirements Analysis & Methods (15 credits)
• Software Tools and Techniques (15 credits)
• User Centred Web Engineering (15 credits)

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

• System Modelling (15 credits)
• Systems Development Management and Governance (15 credits)
• Programming Enterprise Components (15 credits)
• Multi-structured Data and NoSQL Technology (15 credits)

Part time

Year 1

Students are required to study the following compulsory courses.

• Database Architectures and Administration (15 credits)
• Business Intelligence and Data Mining (15 credits)
• Enterprise Systems Integration (15 credits)
• Big Data (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)

Year 2

Students are required to study the following compulsory courses.

• PG Project (CIS) (60 credits)
• Data Warehousing (15 credits)
• Database Tools (15 credits)

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

• Requirements Analysis & Methods (15 credits)
• Software Tools and Techniques (15 credits)
• User Centred Web Engineering (15 credits)

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

• System Modelling (15 credits)
• Systems Development Management and Governance (15 credits)
• Programming Enterprise Components (15 credits)
• Multi-structured Data and NoSQL Technology (15 credits)

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. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Careers

Graduates from this programme can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, analysts.

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This course is ideal for students with a background in science or engineering, but with no previous significant study of Computing or Information Technology. The course aims to expand your knowledge, in the area of networking, database technology and technologies in the field of Information Technology, with a balance of theory and advanced practical skills. It will promote a professional attitude in students wishing to enter employment in the field of information technology and enhance the career prospects of all its students.

What happens on the course?

You will study modules such as Data Management, Internet Communications Technology and Modern Computer Science.

Why Wolverhampton?

This course is ideal for students whose undergraduate degree is not either Computer Science, Engineering or a closely allied subject. The first block of teaching rapidly imparts the fundamental material for an Information Technology post graduate certificate.

Career path

Graduates can find employment within the Information Technology industry as analysts/programmers, business systems analysts, database programmers, database administrators and senior software support technicians.

You could also go on to do further research, or teach in either further or higher education.

Graduates from the PGCert can progress to the MSc programme if they achieve a satisfactory performance.

What skills will you gain?

At the end of this course, you should be able to:

• Display a thorough understanding of the principles and practices of advanced Information Technology topics; integrate and apply knowledge and skills to complex problems;
• Demonstrate expertise and professional awareness of both current and emerging technologies within the field of Information Technology;
• Critically evaluate the role of communications, architecture, networks and the internet in modern computer systems;
• Make informed decisions on the use of appropriate database techniques and tools and apply these to develop database solutions to non-trivial problems;

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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.

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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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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Our MSc Advanced Computer Systems Development course is ideal if you are an Honours degree student, or equivalent, in a relevant discipline and would like to upgrade your software development skills and qualifications in line with new technologies and trends.

You will develop practical skills relevant to modern technologies for software systems development and management with different devices, enabling you to make an immediate contribution to an organisation’s IT functions.

Our course has significant industrial input to represent the latest developments in computer systems analysis, design and implementation – the main areas of employment in the computing/IT sector.

It uses various development tools and environments such as UML, Oracle, IBM Websphere, MS BizTalk, MS ASP.NET, NetBeans, Java Multi-Platform and Android SDK, MongoDB, data management/BI software such as MS Business Intelligence Development Studio, MS Project, and Security Architecture.

Our Advanced Computer Systems Development course is recognised by the British Computer Society as meeting the educational requirements for Chartered IT Professional membership.

"This course was the perfect choice for me – I wanted to have a degree in a computing field to develop a strong understanding and knowledge of software systems but did not want to opt for programmes with mandatory programming courses. The programme covers a wide range of topics, like software architectures, enterprise systems, databases, mobile technologies, project management etc, which provide various career path choices."

Ayesha Ahmed, Advanced Computer Systems Development graduate, now working as a Software Quality Assurance Analyst

Course Details

Our course uses various development tools and environments such as:

• UML
• Oracle
• IBM Websphere
• MS BizTalk
• MS ASP.NET
• NetBeans
• Java Multi-Platform
• Android SDK
• MongoDB

Data management/BI software used includes:

• MS Business Intelligence Development Studio
• MS Project
• Security Architecture

You will develop practical skills relevant to modern technologies for various software systems development and management with different devices, enabling you to make an immediate contribution to an organisation’s IT functions.

Teaching & Assessment

If you are a full-time student you will undertake three or four modules. If you are a student on a part-time basis then you will study two or three modules in each trimester. 60 credits are required for a Postgraduate Certificate award and 120 credits for a Postgraduate Diploma award. You will complete an individual MSc project (60 credits) to obtain 180 credits for a Master award.

Core modules that you will study include:

• Ethics for the IT Professional
• Managing Projects and Security
• Research Design and Methods
• Service Oriented Development

Optional modules (offered subject to demand) include:

• Data Governance and Analytics
• Database Applications for Business
• Decision Support Systems
• Enterprise Systems Development
• Intelligent Systems
• Interactive Design for Smart Devices
• Mobile Business Technology and Design
• Mobile Networks and Smartphone Applications
• NoSQL Database
• Oracle Database Development

Your knowledge and understanding is assessed through a combination of:

• written examinations
• assessed coursework
• or coursework assignments only

Coursework assignments are also used to assess practical skills.

Career Prospects

Jobs

Upon graduation you will be equipped to make an immediate contribution to IT functions within organisations. You may enjoy a career with high-profile companies such as:

• IBM
• Oracle
• JP Morgan
• Bank of Scotland

Potential roles within these companies include:

• Website manager
• Database developer
• Software developer
• Business analyst
• Doctoral (PhD) researcher

Further Study

You may wish to continue studying for a MPhil or PhD.

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Our MSc in Information Technology course is ideal if you have a degree in a subject other than IT or computing and would like to develop much sought after business-relevant IT knowledge and skills.

While a MSc Information Technology student, you will examine:

• issues
• trends
• current practices
• technological alternatives

Our course will equip you with up-to-date technological and business skills, and specialist knowledge to assist your employer in designing and/or implementing appropriate, IT driven solutions in ways that address the needs of modern business organisations.

“The course was broad which allowed me to choose an area of specialisation, so I decided to choose software development. Another benefit was that the University had a tie in with Microsoft which allowed me to access free development environments”

Chris Burns, MSc Information Technology graduate and graduate software developer at Aggreko

Course Details

Business requires IT professionals who can design, deploy and utilise business-relevant IT-based systems and services. Our Information Technology course helps to satisfy this demand, deepening your understanding of modern IT-based business systems and addressing related development, acquisition and deployment issues in modern organisations.

Our course consists of a combination of core and specialisation-option modules. Please note that specialisations are offered subject to demand.

Topics that you will cover in Trimester 1 include:

• Modern database design
• Network-based technology infrastructure
• Object-orientated analysis and design methods for modern IT systems development

Trimester 2 topics will include:

• Oracle-based advanced database development
• Java based application development
• Web technology development
• Data security
• Network security
• Wireless networking
• Internet of Things

Teaching and Assessment

Our MSc Information Technology course employs face to face large and small group delivery and activities supported by the use of Moodle. Small group tutorials are favoured as they are key to the development of behavioural and effective competencies. These are the competencies needed by employers, to develop reflective IT practitioners engaging in purposeful activity for the benefit of the business or organisation.

Your assessment will take the form of:

• Course work
• Class tests
• Formal examinations

Career Prospects

Jobs

You may wish to consider a career in the following well-known companies:

• Agrekko
• IBM
• CAP-Gemini
• Amazon
• Atos
• Adobe Systems
• HP
• Dell
• SMEs

Examples of roles that you may secure are:

• IT Consultant
• IT Systems Developer
• e-Business Specialist
• Database Developer
• Oracle Database Specialist
• Doctoral (PhD) researcher

Further Study

If you would like to continue your studies in the area of Information Technology then this is possible through research degrees (MPhil/PhD.) Additionally, the IT Academy of the School of Computing offers a progression route for developing further industry specific technical skills though agreed programmes with the following companies:

• Microsoft
• Cisco
• Oracle
• SAP
• Others

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International economics with a strong empirical and analytical emphasis on the low and middle income countries of the Global South.

This specialisation offers you the opportunity to follow a state-of-the-art curriculum in International Economics with a strong empirical and analytical focus on the low and middle income countries of the Global South. Hosting one of the largest databases for developing countries in the world, we offer you a unique possibility to analyse poverty, inequality, and economic development in these countries in an international context. Using recent theoretical insights and modern empirical methods, you will be actively involved in comparative research on issues in developing countries such as the impact of globalisation on economic growth, corruption, the education of children, child labour and women’s empowerment.

Why should you choose International Economics & Development in Nijmegen?

- A broad perspective on issues pertaining to low and middle income countries

- Strong comparative and empirical orientation

- One of the world’s largest micro-level database for developing countries

- Small group teaching and close contact with professors and their research

- Excellent reputation in the Netherlands and abroad

Change perspective

Radboud University Master’s specialisation in International Economics & Development pushes your curiosity to understand and evaluate the economic situation in low and middle income countries. You will be taught to look at the bigger picture and to analyse micro-level data in order to discover what is going well and what isn’t. Your analysis will provide information on intra-country or cross-national disparities. It aims to inform both national governments as well as international development organisations, and might lead to programmatic action aimed at bringing about positive changes to people’s lives in the poorest regions of our globe.

Career prospects

Scientific and societal relevance go hand in hand in this programme. We address contemporary issues like child labour, women’s empowerment, human development, children’s schooling and economic growth by evaluating societal developments with the help of sound academic theories. We not only discuss pressing issues of today but also issues we believe will be pressing in the near future.

Upon completing the Master’s programme in International Economics & Development, you will be knowledgeable about recent developments in the field. You will be an up-and-coming professional that is able to:

- Understand and reflect on the international, professional and academic literature in the field of international economics & development.

- Report independently on various issues in international economics and development, including state of the art empirical and theoretical studies.

- Use and apply statistical tools and methods.

- Conduct independent research.

- Present and clearly and consistently defend your views and research outcomes.

- Maintain a critical attitude towards your own work and that of others in your field.

We make sure our graduates have the strong academic background they need to be able to work as economists, policy-makers and researchers for international organisations (The World Bank, UN), development-oriented consultancy firms, NGOs, national governments as well as universities and research institutes.

Our approach to this field

The Master’s specialisation International Economics & Development is theoretically unique in that we not only deal with the problems that poor countries face, but also with interesting new developments taking place in the Global South. We will discuss the rise of the BRIC countries, concentrating on both the potential they have as well as the challenges they face. We will also look at unique new economic phenomena within developing countries, like the emergence of a complete pro-poor banking system based on mobile phone credits in Kenya and other parts of Africa (known as m-pesa).

- Understanding economic changes in the developing world

Our unique and interesting combination of subjects will provide you with a well-rounded understanding in this field. Apart from development economics students will get an academic understanding of economics methodology, the role of international financial markets, behavioural economics and the important influence culture has on economic phenomena. And thanks to a choice of elective subjects, you can give your programme a unique focus that meets your academic interests.

Students taking this Master’s specialisation will learn how to understand and analyse economic changes taking place throughout the developing world. Students will be taught how to discover determinants and develop indicators that make it possible to monitor changes at the sub-national level in great detail. These indicators can be used scientifically, but also for creating detailed overview scans of regions for political or humanitarian purposes.

- Database Developing World and the MDGs

One of the tools our students can use is our Database Developing World (DDW). This database constitutes a unique window to the developing world, making it possible to study important processes on a scale and with a degree of detail that is unique in the world.

The DDW also holds indicators for seven of the eight Millennium Development Goals (MDGs) which range from halving extreme poverty rates to empowering woman and providing universal primary education. The target date of 2015 is fast approaching and although enormous progress has been made, the UN is working with governments, civil society and other partners to carry on with a post-2015 sustainable development agenda. As a graduate of this Master’s specialisation, you could go on to be one of the professionals that helps to achieve the MDGs and thereby making a real difference in people’s lives.

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Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

Course overview

If your first degree is not related to computing, this course allows you to make the transition to computing. Salaries in the ICT sector are over a third higher than the national average and our course is designed to fit the current needs of employers.

Our supportive tutors will guide you through topics that include software development, networks, database systems and web development. We help you develop the necessary skills to undertake a Masters-level project in designing and implementing IT systems, without assuming previous experience.

By the end of the course you will have an expert understanding of the processes and knowledge that are needed to design, implement and support an IT system. You will also be able to make a significant contribution to IT research activities as well as to team-based IT projects.

The research aspects of the course are supported by Sunderland’s on-going research programme. The specialisms of our Digital Innovation Research Beacon include intelligent systems, internet technologies, information retrieval and interaction design.

Sunderland has invested heavily in state-of-the-art technology for computer sciences and IT. We are among the UK’s top ten universities in terms of spend per student, according to The Guardian University Guide 2013.

Course content

The course mixes taught elements with independent projects. We support you with guidance and inspiration, and you can negotiate a final project that matches your personal interests.

Modules on this course include:
-Research Skills and Academic Literacy (15 Credits)
-Architectures and Operating Systems (15 Credits)
-Web and Multimedia Development (15 Credits)
-Software Development (30 Credits)
-Networks (15 Credits)
-Database Systems (15 Credits)
-Foundations of Computer Science (15 Credits)
-Masters Project (60 Credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups, seminars, tutorials and practical laboratory sessions.

Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working. Assessment methods include individual written reports and research papers, practical assignments and the Masters project.

Facilities & location

The University of Sunderland offers an outstanding high-tech computing environment.

Employment & careers

On completing this course you will be equipped as a skilled professional with essential up-to-date knowledge in computer networking and mobile communication technologies. You will also have advanced knowledge of systems development, including web-based and database systems development.

Potential employment includes roles in:
-Internet and systems development
-Database administration and development
-User systems analysis and support
-Technical computing knowledge management
-Technical support
-Consultancy
-Research and education

The average gross salary in 2012 for those involved in information and communication was around £40,000, according to the Office for National Statistics. Technical support managers can earn up to around £66,000 and network security consultants can earn up to around £89,000.

As part of the course you will undertake a project solving a real world problem. These projects are often sponsored by external clients and we encourage and support you to find your own client and sponsor. This relevant work experience will enhance your skills, build up a valuable network of contacts and boost your employability.

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The MSc in Archaeological Information Systems course will provide you with applied practical experience and critical theoretical engagement with a full range of computing systems and technology used for publishing, archiving, analysing, visualising and presenting archaeological information today.

The University of York’s Archaeology Department has been at the forefront of researching and developing archaeological computer applications since the early days of digital practice in the discipline and has hosted the first online peer-reviewed e-journal for archaeology since 1996. It also hosts the world-leading Archaeology Data Service, which is the UK’s national digital data archive for the historic environment.

• Gain applied practical experience in internet applications, database design and management, GIS technology, CAD and computer modelling systems.
• Build a broad foundation of expertise in archaeological computing applications.
• Access the University of York’s world-leading expertise in e-publishing and digital archiving.
• Develop IT knowledge and skills that are highly valued in heritage-sector careers.
• Access a full suite of research computing hardware and software
• Receive tailored careers advice from staff with significant experience of recruiting within the sector.

York is one of the best places to study Archaeology, Heritage or Conservation. The Department has an excellent reputation and is one of the largest Archaeology teaching centres in the UK. The historic City of York is rich in architectural and archaeological treasures and resources which you will have easy access to during your studies.

What does the course cover?

Through a combination of academic studies, practical training, research and work placements, you will:
• Develop vital knowledge of the digital and internet technologies used for disseminating, publishing and archiving archaeological information.
• Learn practical skills in 3-D modelling, GIS, CAD and other technologies used for analysing and visualising archaeological information.

The course provides a detailed introduction to the broad range of information systems used in archaeology, and provides the opportunity to apply these systems in practice. The work placement and dissertation enable you to specialise in a particular technique or approach, giving you valuable practical experience in your areas of interest.

Who is it for?

The MSc in Archaeological Information Systems is designed for people who have a basic grounding in computer literacy and an interest in archaeology and heritage, and who wish to follow vocational training in archaeological information systems.

What can it lead to?

Many of our graduates go onto careers in archaeological computing, working in contract units or county-based records organisations. Others have founded their own consultancy businesses. Some apply their computing skills in more mainstream archaeological work, in museums, or in the wider world. Others have pursued further research at doctoral level. Click on the alumni tab above to find out what our alumni and current students have to say about the course.

Content

This one-year MSc course is taught via a combination of lectures, seminars and tutorials. You will study two core modules, two optional modules and four shorter skills modules of your choice. You will also gain valuable practical experience of applying information systems in the workplace on a work placement module. Finally, in the summer term you will develop your research and presentation skills by producing a dissertation and giving an assessed lecture.

Placement

Your work placement is a key feature of the course, providing valuable experience of using IT in an archaeological work environment. The placement offers you the chance to gain practical experience in a professional, academic or heritage environment. You will be able to work on projects that help you develop new skills or put into practice skills gained from your taught courses.

Aims
-To provide experience of computer applications within a workplace in the historic environment sector.
-To consolidate knowledge and understanding of computer applications from one or more of the taught modules.

Learning outcomes
Upon completing your placement you should have:
-Gained detailed knowledge of how information technology is applied in the workplace in the historic environment sector, under the guidance of experienced professionals.
-Developed an understanding of the contexts in which IT is applied, and of real world limitations.
-Developed your IT skills in one or more of the core areas covered by the taught programme (i.e. database design, web technologies, digital archiving, electronic publication, CAD, GIS and virtual reality modelling).

Placement providers
Although the organisations offering placements change from year to year, and you have the option of proposing other providers that match your specific interests, the following list is a good indication of some of the choices available:
-Yorkshire Museums Trust
-Archaeology Data Service
-City of York Council
-Internet Archaeology
-York Archaeological Trust
-Centre for Christianity and Culture
-L-P: Archaeology
-On Site Archaeology
-Council for British Archaeology
-West Yorkshire Archaeology Service
-Historic England
-English Heritage
-National Trust

Careers

The MSc in Archaeological Information Systems offers practical, careers-focused training for many essential roles in the professional world of archaeology. By the end of the course you will:
-Have examined how computers are applied in archaeology and their impact on the development of the discipline
-Understand the concept of the internet, be able to find and use relevant information and add materials to it
-Have the skills to evaluate critically the claims made for different computer applications and select the correct application for a given problem
-Have an understanding of authoring tools and be able to create an electronic text
-Have an understanding of database design and be able to design and implement a simple relational database
-Have an understanding of CAD and GIS and be able to create effective applications in each
-Have an awareness of digital archiving principles, resource discovery and metadata

Many graduates from this course go on to careers in archaeological computing with contract and county-based records units, or found their own consultancy businesses. Some apply their computing skills to more mainstream archaeological settings, such as museums, or in a range of the others sectors and roles, including:
-Archive management
-Social media management
-Local government and development
-Computing and IT services
-Business and administration
-Marketing and public relations
-Education

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