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Masters Degrees (Data Warehousing)

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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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The opportunity to exploit Big Data is recognised world-wide and some countries include it in their economic strategies. The UK Government identified Big Data as one of the 8 great technologies which will have a strong impact on growth and the Scottish Government highlights it as an emerging opportunity for Scotland. Read more
The opportunity to exploit Big Data is recognised world-wide and some countries include it in their economic strategies. The UK Government identified Big Data as one of the 8 great technologies which will have a strong impact on growth and the Scottish Government highlights it as an emerging opportunity for Scotland.

Our MSc in Data Science aims to produce specialist data scientists with training in industry relevant data acquisition, storage, warehousing, analytics and visualisation tools and techniques and a good understanding of the needs of industry. The course will prepare graduates in technical disciplines for a career in the design and implementation use of computer-analytics and visualisation solutions for industry.

Visit the website: http://www.rgu.ac.uk/computing/study-options/postgraduate/masters-in-data-science

Course detail

The course will focus on satisfying industry’s demand for data scientists who have the ability to:

• Apply appropriate data science tools and techniques to industry’s data in order to uncover important, previously unknown information only implicit in the data.
• Relate a company’s key performance indicators to a data science problem area in order to focus a data science task.
• Handle large amounts of real-time, non-persistent, data.
• Contribute to business decision-making by effectively communicating (potentially large volumes of) key data visually.
• Understand, clean up, summarise, interpret and manage data.
• Grasp key knowledge about new problem areas in order to communicate with end-users; understand key business needs and processes and identify added value through data analytics.
• Provide user-centred data analytics at an appropriate level.
• Protect and share data as appropriate.

The course will emphasise Big Data, covering not only traditional data management systems but also systems where data and/or its storage is unstructured.

Format

Throughout the course, content is complemented by practical work, allowing you to support your theoretical knowledge with practical experience in data storage, mining, warehousing, visualisation and analysis as well as transferrable skills. You will be taught through a mixture of lectures, tutorials, labs. You will be invited to attend talks presented by highly-experienced researchers, speakers from industry, and members of the BCS (British Computer Society) on a wide range of industry-related topics. You will also be supported through our online virtual learning environment where you can access a wide variety of resources and other support materials.

The individual project provides an opportunity for applying specialist knowledge together with analytic, problem-solving, managerial and communication skills to a particular area of interest within data science. Working with the full support and guidance of an allocated project supervisor, you will be given the opportunity to propose, plan, specify, develop, evaluate, and present a substantial project.

Placements and accreditation

Students who perform particularly well during their first semester of studies will be invited to apply for a 45-week internship.

Careers

The course prepares you for a career in Data Science. Job openings include: Data Scientist, Data Analyst, Data Visualisation Specialist, Data Manager, Database Designer/Manager, Data Mining Expert and Big Data Scientist.

Aberdeen is home to many multinational oil and gas companies and associated suppliers such as mainstream software houses, IT providers to major oil-related companies, specialist software consultancies, and venture capital start-ups.

The university is involved in a number of commercial collaborations on a local, national and international scale with organisations such as BP, British Geological Survey, Wood Group PSN, Accenture, WIPRO and many Aberdeen-based software development companies.

The course also prepares students for research careers by providing the skills necessary of an effective researcher. Suitable MSc graduates may continue to PhD programmes within the school.

How to apply

To find out how to apply, use the following link: http://www.rgu.ac.uk/applyonline

Funding

For information on funding, including loans, scholarships and Disabled Students Allowance (DSA) please click the following link: http://www.rgu.ac.uk/future-students/finance-and-scholarships/financial-support/uk-students/postgraduate-students/postgraduate-students/

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During this programme, students study, employ and reflect on the principles underpinning computer science. The programme is designed for individuals wishing to pursue careers as computer science professionals. Read more
During this programme, students study, employ and reflect on the principles underpinning computer science. The programme is designed for individuals wishing to pursue careers as computer science professionals.

From organisational culture and human-computer interaction to web services and distributed computing on virtualised and cloud based systems, this programme leads students to reflect on the choice of methods and tools. It will provide practical experience in the analysis and understanding of problems, systems and structures through the study of realistic case studies. The student will be equipped to deal with the intense demands of modern software development, critically evaluate and employ appropriate concepts and principles to build solutions of commercial, industrial or research value.

Students may choose options focusing on cyber security and forensics, data warehousing and business intelligence or user-centered web engineering and software engineering management.

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).

The availability of some courses is subject to satisfying constraints that may come into effect in the year of entry.

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

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)
Systems Development Management and Governance (15 credits)
Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)
Programming Enterprise Components (15 credits)
Clouds, Grids and Virtualisation (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.

Mobile Application Development (15 credits)
User Centred Web Engineering (15 credits)
Big Data (15 credits)

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

Audit and Security (15 credits)
Data Warehousing (15 credits)
Enterprise Web Programming (15 credits)
Computer Crime and Forensics (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)

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

Systems Development Management and Governance (15 credits)
Programming Enterprise Components (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 30 credits from this list of options.

Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)
Clouds, Grids and Virtualisation (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.

Enterprise Software Engineering Development (15 credits)
Enterprise Patterns and Frameworks (15 credits)
Clouds, Grids and Virtualisation (15 credits)

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

Mobile Application Development (15 credits)
Data Warehousing (15 credits)
User Centred Web Engineering (15 credits)
Big Data (15 credits)

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

Audit and Security (15 credits)
Enterprise Web Programming (15 credits)
Computer Crime and Forensics (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (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 are equipped for employment in industry, commerce or education with a proficiency in the key theoretical and practical areas in computer science, including their application to modern software systems development.

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

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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. Read more
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).

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

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 (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)

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

Career options

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

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

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This programme is aimed at students who require both academic and technical training in advanced information technology. It is designed to meet the needs of practising IT professionals and to foster an appreciation of the theoretical foundations and academic framework for such personnel. Read more
This programme is aimed at students who require both academic and technical training in advanced information technology. It is designed to meet the needs of practising IT professionals and to foster an appreciation of the theoretical foundations and academic framework for such personnel. It also provides an entry point to the IT industry for graduates by supplying high-level technical training to supplement the academic content.

The programme is of particular interest to those who wish to develop enterprise-level database systems. It is supported by Oracle technology, which is widely used in industry for a diverse range of information needs. Those working in the IT industry, as well as anyone seeking a higher academic qualification in database technology and information systems, gain practical skills in Oracle technology (which are in short supply) and are able to develop database systems using the latest technology. Students also acquire the project management skills necessary for IT consultancy and strategic decision making.

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).

Visit the website http://www2.gre.ac.uk/study/courses/pg/inftec/esdw

Computing - Information Technology

The School of Computing and Mathematical Sciences is an extremely successful part of the university and is recognised both nationally and internationally for its cutting edge research and its innovative approach to curriculum development.

Our up-to-date, relevant and exciting programs are designed in close collaboration with industry to provide the skills that employers really want. Our research record is outstanding, focusing on practical and important real-life problems.

What you'll study

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

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
System Administration and Security (15 credits)
Database Architectures and Administration (15 credits)
Database Tools (15 credits)
Enterprise Systems Integration (15 credits)
User Centred Web Engineering (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.

Mobile Application Development (15 credits)
Enterprise Software Engineering Development (15 credits)
Big Data (15 credits)

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

System Modelling (15 credits)
Programming Enterprise Components (15 credits)
Network Architectures and Services (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

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

Data Warehousing (15 credits)
System Administration and Security (15 credits)
Database Architectures and Administration (15 credits)
Database Tools (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)
Enterprise Systems Integration (15 credits)
User Centred Web Engineering (15 credits)

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

Mobile Application Development (15 credits)
Enterprise Software Engineering Development (15 credits)
Big Data (15 credits)

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

System Modelling (15 credits)
Programming Enterprise Components (15 credits)
Network Architectures and Services (15 credits)
Multi-structured Data and NoSQL Technology (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) and can lead to full exemption from the BCS Postgraduate Diploma and Postgraduate Diploma Project. Additionally, this qualification gives partial chartered engineer (CEng) status and can be combined with a partial CEng from an accredited BSc programme to give full CEng status. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Career options

Graduates from this programme can pursue careers as database administrators, IT consultants, systems and network administrators or Oracle developers. Opportunities exist to develop a career working as independent consultants or within teams in diverse areas such as banking IT support systems, networking, business and IT, research, teaching and training.

Find out about the teaching and learning outcomes here - http://www2.gre.ac.uk/?a=643967

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

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The Master of Information Technology is aimed at IT professionals and recent graduates (domestic and international) wishing to undertake an advanced programme of study in order to prepare for further study or to assist with obtaining a more senior position. Read more

Course Outline

The Master of Information Technology is aimed at IT professionals and recent graduates (domestic and international) wishing to undertake an advanced programme of study in order to prepare for further study or to assist with obtaining a more senior position.

Course Content

Master of Information Technology students will undertake a coherent programme of 180 credits approved by the programme manager and will follow one of two pathways.

Pathway 1

The first pathway is designed for students who want to undertake more course work and consists of four compulsory components:

- IT801 Managing ICT Projects and Systems
The student will develop knowledge and skills in managing ICT projects and systems. The student will also research into established frameworks that are relevant to current industry trends.
- IT802 Researching ICT Issues and Trends
The student will develop knowledge and skills in critiquing and undertaking research, assessing social impacts of ICT and analysing ethical issues in ICT practice.
- IT803 Research Proposal
The student will develop expertise in preparing research proposals, including reviewing relevant literature, selecting a methodology and exploring ethical issues.
-IT901 Research Project
The student will develop expertise in conducting applied research that informs professional ICT practice.

and an approved selection of level 8 papers worth at least 90 credits from the following list:

- IT811 Business Analysis
The student will develop knowledge and skills in analysing the structure and function of organisations in order to improve efficiency and productivity using ICT.
- IT812 Business Intelligence
The student will develop knowledge and skills in analysing the strategic use of data warehousing, data mining and data analysis in order to obtain business intelligence.
- IT813 ICT Infrastructure
The student will develop knowledge about various aspects of ICT infrastructure, including emerging digital technologies.
- IT814 ICT Quality
The student will develop knowledge and skills in the application of methods and techniques used in ICT quality assurance and testing.
- IT815 ICT Security
The student will develop knowledge of the impact of security on an ICT infrastructure, research into the ethical and legal implications of ICT security and cybercrime, and identify appropriate investigation strategies in the light of emerging digital technologies.
- IT816 Mobile Application Development
The student will develop knowledge and skills required to create, market and deploy a mobile application.
- IT817 Web Application Development
The student will develop knowledge and skills required to develop web services and applications.
- IT818 Special Topic
The student will critically examine current developments and emerging issues in a specified topic area.
- IT819 Applied Project
The student will be able to identify and apply appropriate ICT techniques and technologies to solve a non-trivial problem in a business, educational, industrial or similar setting.

Pathway 2

The second pathway is designed for students who want to undertake a more substantial research project and consists of four compulsory components:

- IT801 Managing ICT Projects and Systems
- The student will develop knowledge and skills in managing ICT projects and systems. The student will also research into established frameworks that are relevant to current industry trends.
- IT802 Researching ICT Issues and Trends
The student will develop knowledge and skills in critiquing and undertaking research, assessing social impacts of ICT and analysing ethical issues in ICT practice.
- IT803 Research Proposal
The student will develop expertise in preparing research proposals, including reviewing relevant literature, selecting a methodology and exploring ethical issues.
- IT902 Thesis
The student will develop expertise in conducting publishable research about applied ICT.

and an approved selection of level 8 papers worth at least 45 credits from the following list (each worth 15 credits, except for 819):

- IT811 Business Analysis
The student will develop knowledge and skills in analysing the structure and function of organisations in order to improve efficiency and productivity using ICT.
- IT812 Business Intelligence
The student will develop knowledge and skills in analysing the strategic use of data warehousing, data mining and data analysis in order to obtain business intelligence.
- IT813 ICT Infrastructure
The student will develop knowledge about various aspects of ICT infrastructure, including emerging digital technologies.
- IT814 ICT Quality
The student will develop knowledge and skills in the application of methods and techniques used in ICT quality assurance and testing.
- IT815 ICT Security
The student will develop knowledge of the impact of security on an ICT infrastructure, research into the ethical and legal implications of ICT security and cybercrime, and identify appropriate investigation strategies in the light of emerging digital technologies.
- IT816 Mobile Application Development
The student will develop knowledge and skills required to create, market and deploy a mobile application.
- IT817 Web Application Development
The student will develop knowledge and skills required to develop web services and applications.
- IT818 Special Topic
The student will critically examine current developments and emerging issues in a specified topic area.
- IT819 Applied Project
The student will be able to identify and apply appropriate ICT techniques and technologies to solve a non-trivial problem in a business, educational, industrial or similar setting.

Read less
Our IT systems and devices are constantly creating data and the amount of data created and stored grows exponentially. Data, and in particular patterns and trends within data, have the ability to inform and provide valuable insights, that help us predict and diagnose specific outcomes. Read more
Our IT systems and devices are constantly creating data and the amount of data created and stored grows exponentially. Data, and in particular patterns and trends within data, have the ability to inform and provide valuable insights, that help us predict and diagnose specific outcomes. Whilst the amount of data grows, the science of gaining insights from this data grows with it. Industry, research institutions and government all seek to extract value from data to improve products and services, serve their customers better and run more operationally efficient organisations. Specialists in Business Intelligence use their mathematical, computational and presentational skills to mine data from enterprise information systems and elsewhere for value and their skills are highly sort after. There is a significant shortage of skilled Business Intelligence specialists and so there are many job opportunities available.

We have designed this MSc course in consultation with industry partners.

Having this close understanding of what industry needs makes this course relatively unique and the very best suited to those looking for a career in helping businesses to make better decisions.

The course will be of specific interest to :

A mathematics graduate wishing to use your skills in a vocational business based environment
A computer science graduate wishing to follow a vocational route
Individuals currently working in Business and looking to grow their career through gaining Data Science and Business Analytics skills
We have developed a number of modules to make up this MSc:

Business Intelligence Foundation
Managing Data and Data Warehousing
Data Exploration and Analysis
Statistics and Operational Research
Operations Management and Performance Improvement (option)
Data Visualisation and Presentation (option)
Business Decision Making (option)
The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects.

You will be assigned a Personal Tutor from the start of your course who will work with you throughout your studies to help you achieve your academic best.

The knowledge we provide you with in these areas will give you all of the essential know-how on methods, tools and techniques to deliver in your career in Business Intelligence.

The modules will be focused on the practical application of theoretical concepts using a range of contemporary enterprise management knowledge systems.

The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to:

Provide an essential link between your theoretical learning and real-world challenges
Create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt
Recreate some of the challenges facing industry today and those very similar to what you will encounter in the workplace
Be adaptable to reflect new methods / tools and scenarios in this fast developing discipline
Be able upon completion of the projects to reference your experience in working with such challenges
Fees for 2017

Home fees - 1 year full-time: £8000.00

International fees: £10,920.00

Our facilities
You will undertake your workshops in training rooms that are bang up-to-date with design features, touch screen electronic white boards and high speed wifi; housed across three stunning Georgian mansions.

All of our current students love the learning environment, the culture, camaraderie and the fact that tutors know them by name so they are more than just a ‘face in the crowd’.

You will have access to the very best IT facilities in order to support your studies.

These range from computer labs to access to cloud analytics from the leading providers.

We will use software from the academic programs of the major enterprise I.T. vendors such as IBM and SAP as well as commonly used open source programs and frameworks.

From September 2018, many of the teaching sessions will take place in the purpose-built Engineering and Digital Technology building in the Bognor Regis campus.

What's more, you have lots of other facilities on this dedicated university campus including latest books, journals and online data in a truly modern library, an IT centre, a student zone complete with Costa Coffee, a gym and much more.

Where this can take you
The course has been designed to provide you with a very practical understanding of the issues associated with sourcing, curating, analysing and presenting data in business and other public sector and not-for-profit organisations. On completion of your MSc studies and successful graduation, you will have very transferable skills and can choose to move directly in to the workplace.

Indicative modules
Business Intelligence Foundation (20 Credits)
Managing Data and Data Warehousing (20 Credits)
Data Exploration and Analysis (20 Credits)
Statistics and Operational Research (20 Credits)
Operations Management and Performance Improvement (option) (20 Credits)
Data Visualisation and Presentation (option) (20 Credits)
Business Decision Making (option) (20 Credits)
Dissertation/Project (60 Credits)
Teaching and Assessment
Our approach to supporting your learning, and how your learning is assessed, is designed to mirror the workplace environment. With this in mind, key features of our approach to learning and assessment include the following:

We place a lot of emphasis on course work related activity.
Opportunities to work with organisations on current commercial/business problems and projects. These experiences are used to provide the basis for assessments that enable you to apply your learning within authentic commercial situations.

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In partnership with CEFRIEL. The International Master in Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Read more
In partnership with CEFRIEL

The International Master in Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM.

The programme provides young and highly motivated candidates with the knowledge, skills and competencies required to meet the accelerating demand for data scientists. The course is designed to enhance the managerial talent by harnessing the power of data and turning data into knowledge and business value.

The course is divided into six major modules: General Management, Data Management and Warehousing, Fundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Elective courses. The educational programme requires the completion of a final project work, which consists either of a curricular in-company internship, supervised by a faculty member, or of a master thesis that will be defended as final exam.

Students will have the opportunity to specialize their master by following elective concentrations on topics such as: Analytics for Finance, Analytics on customer experience, Social Media Marketing, Analytics for Supply Chain Management. Participants may follow elective courses also in one or more business schools in the network of international MIP partners.

Admissions Deadlines

Applications have to be submitted online on: http://www.applyformasters.net.

Candidates applying before 31st December 2015 will be eligible for the Early-Bird tuition fee waiver amounting to € 1000.
For more information and application assistance, please write to

MIP Politecnico di Milano presents the new #growingleader

The blog dedicated to MIP international programs is ready to inspire a new generation of students helping them to grow as leaders. Click here to find out more: http://www.growingleader.com/

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The Information management pathway addresses both the technical challenges of information capture and usage from big data, and the need for its effective and efficient management and analysis within business, scientific, educational, entertainment and organisational contexts. Read more
The Information management pathway addresses both the technical challenges of information capture and usage from big data, and the need for its effective and efficient management and analysis within business, scientific, educational, entertainment and organisational contexts. This MSc pathway will examine the entire information management life cycle, including data strategy, management, design and warehousing, data analytics and information governance. In addition to the need to work with huge volumes of data, the pathway will also address multi-modality, including un- and semi-structured data, image and video data, spatial and temporal data, etc.

The pathway consists of two (compulsory) units from the Data Engineering and IT governance ACS theme, three additional compulsory units on various aspects of information management, and one optional unit covering various application areas (such as decision support, text mining, optimisation).

The pathway is taught in collaboration with Manchester Business School (MBS). As such, the programme benefits from the offerings of both schools. MBS is the largest campus-based business and management school in the UK offering world-leading business education informed by leading edge theory and practice. Similarly, the School of Computer Science is renowned as a world-class centre of excellence in computing teaching and research.

Special features

IBM has announced that Prof. John Keane from the School of Computer Science at The University of Manchester is one of the winners of its2013 Big Data and Analytics Faculty Awards. He joins 13 other researchers from around the world who will bring together their innovative research for the benefit of curricular development. The award will support technical case studies investigating the design and implementation of big data problems to enhance the postgraduate module in Data Engineering which is central to the Information Management pathway of the Advanced Computer Science and IT management MSc at Manchester.

Career opportunities

IBM is supportive of the Information Management pathway. The programme fits with some of IBM's core business objectives and also that of some of our clients. (Martyn Spink, University of Manchester Relationship Manager, IBM UK Limited).

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

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This course is your opportunity to specialise in the development of web-based software systems that use databases. Read more
This course is your opportunity to specialise in the development of web-based software systems that use databases. During your time with us, you will gain a critical awareness of the methodologies, tools and techniques used for the development of web-based computer systems and an advanced understanding of the techniques used for the development, evaluation and testing of databases.

The course also develops an awareness of the latest developments in the field of advanced databases, data mining and data warehousing. You will also gain substantial knowledge and skills in the deployment of SAS business intelligence software leading towards SAS data miner accreditation, and learn what the Semantic Web and Linked Data are, together with what these technologies enable.

Key benefits:

• The course gives you hands-on experience in design and implementation of databases in both Oracle and Microsoft SQL Server DBMS and prepares you to obtain DBA certification
• You learn how to design and implement a web application using ASP.NET, Microsoft SQL Server, and PHP with My SQL
• You learn the data mining techniques to mine data in different application domains using most popular data mining tools.

Visit the website: http://www.salford.ac.uk/pgt-courses/databases-and-web-based-systems

Suitable for

This course is for students who want to become trained professionals:

• In designing and implementing database systems in Oracle Micro Soft SQL Server DBMS and who want to be prepared to obtain DBA certification
• In designing and implementing a web application using ASP.NET, Microsoft SQL Server, and PHP with My SQL
• With hands-on experience in data mining techniques to mine data in different application domains using the most popular data mining tools.

Programme details

This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and often lead to ideas that you can develop for your MSc Project.

Format

Teaching on this course takes the form of lectures, individual and group class work, topical class discussions and critical case study evaluation.

You will gain hands-on lab experience of using and setting up databases and web-based systems. What’s more, tutorials will give you practice in solving the theoretical and design problems associated with these systems.

Module titles

• Advanced Databases
• Web-Based Software Development
• Semantic Web and Information Extraction
• Business Intelligence
• MSc Project

Assessment

• Coursework 60%
• Examinations 40%

Career potential

With this qualification, you’ll be equipped as web/database designer and programmer, data analytics and miner among other roles. Your experience will be in high demand across all industrial and commercial sectors.

Previous students have gone on to work with companies including British Airways, Google, Hewlett-Packard, Oracle and other IT firms.

How to apply: http://www.salford.ac.uk/study/postgraduate/applying

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In the MEngSc Information Technology in Architecture, Engineering, and Construction (Bauinformatik) you will learn how to apply computer science technologies to sustainable design, facilities management, energy management, and construction management. Read more
In the MEngSc Information Technology in Architecture, Engineering, and Construction (Bauinformatik) you will learn how to apply computer science technologies to sustainable design, facilities management, energy management, and construction management.

The course is designed for professionals as well as young graduates from all computer science and engineering disciplines who want to improve their knowledge of customising information and communication technologies to support the design, commissioning and operation of civil engineering systems.

The course addresses the increasing need for engineers and architects with advanced knowledge and skills in the application of information and communication technologies to support sustainable design and operation of buildings and energy systems, facilities management, virtual construction, building information modelling (BIM) and structural engineering.

Lecturers are broadcast through the web, and can be attended either in UCC or from a remote location. Experts from six European universities contribute their knowledge to the course.

Visit the website: http://www.ucc.ie/en/ckr29/

Course Details

You will get hands-on experience in planning, customising, and maintaining state-of-the-art software systems for the needs of the AEC and FM sectors with an emphasis on complex engineering systems such as smart buildings. The course consists of four pillars:

- the acquisition of new knowledge and practical skills in selected engineering disciplines
- the acquisition of knowledge and skills in selected areas of computer science
- the application of the newly-acquired knowledge in two projects
- the development and submission of a minor research thesis.

In the first teaching period students acquire knowledge of:

- Smart Buildings, Facilities and Energy Management
- Software Engineering
- Knowledge Management or Computer Mediated Communication.
- Building Information Modelling (BIM), Data Warehousing, and E-business
- Virtual Construction, Automation in Construction or Finite Element Analysis (electives)

The two projects focus on:

- Software Engineering
- Information Technology for Energy Systems in Buildings.

The course is based on the principle of research-led teaching, ie. project work will be based on practical examples. Researchers and PhD students from UCC will be involved in mentoring and supervising assignments and projects. On completion of the course, you will be extremely attractive to employers who need engineering with a strong IT-background, working in the following areas:

- civil and energy-engineering consultancy
- facilities management
- energy service provision (ESCO)
- construction management
- building operations
- software engineering
- project management.

You will develop skills in:

- applying information modelling
- software engineering
- data processing
- data analysis techniques
- facilities and energy management
- structural analysis
- project and supply chain management in construction.

Format

The course can be taken on a full-time (one year) or part-time (two year) basis with an option to complete at postgraduate diploma level. Lectures are broadcast using web-technology and can be attended either in UCC, in your home, or at your workplace. The majority of lectures are scheduled outside normal working hours. Block seminars consisting of full-day events are available once a month during academic periods. The course requires the completion of two projects, but can be combined with a work placement. A minor thesis contribution begins when all taught modules are completed successfully and involves four months of research work.

Assessment

Modules focusing on the acquisition of new knowledge are assessed by written exams (60%), in combination with continuous assessment (assignments – 40%). Modules focusing on skills-development or knowledge transfer are assessed through the submission of reports or essays in combination with presentations. Projects are usually organised in groups. They are assessed through continuous assessment (team meetings, status review meetings) and a final report complemented by a final presentation. You must pass each module (40%) and achieve an average grade of 50% across all taught modules in order to be eligible to progress with the master’s thesis.

Careers

Recent publications report that a shortage of engineers has been identified by professional bodies across the European Union. In the UK and Germany alone, it is predicted that approximately 2,500 engineering positions need to be filled on an annual basis over the next five years (2012 to 2016). It is expected that employable candidates have an excellent background in how to efficiently exploit IT tools in order to execute engineering tasks in the most efficient but also in an interdisciplinary way. This course addresses the need for interdisciplinary expertise and skills in engineering, energy management and computer science.

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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This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Course content

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Modules

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

Core modules
-BIG DATA THEORY AND PRACTICE
-BUSINESS ANALYTICS
-DATA MINING AND MACHINE LEARNING
-RESEARCH METHODS AND PROFESSIONAL PRACTICE
-BUSINESS SYSTEMS POSTGRADUATE PROJECT

Option modules
-ADVANCED BIG DATA ANALYTICS
-BUSINESS OPTIMISATION
-DATA VISUALISATION AND DASHBOARDING
-DATA WAREHOUSING AND OLAP
-DATA REPOSITORIES PRINCIPLES AND TOOLS
-SIMULATION MODELLING: RISK, PROCESSES, AND SYSTEMS
-WEB AND SOCIAL MEDIA ANALYTICS

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analyst, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (such as GlaxoSmithKline, Prudential, Santander and Unilever), public sector organisations (such as the NHS and primarily care trusts), retail head offices, the BBC, the Civil Service and the host of banks, brokers and regulators that makeup the city, along with all the specialist support consultancies in IT and market research and forecasting, all of the whom us data for the full range of decision making.

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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Business Intelligence is basically about concepts and methods to improve business decision making by using fact-based support systems. Read more
Business Intelligence is basically about concepts and methods to improve business decision making by using fact-based support systems. Business Intelligence as a discipline is made up of several related activities, including data mining, analytical processing and business process improvement.

The programme provides you with in-depth knowledge of methods for analysing data to support decision-making and for improving business processes on the basis of business analytics.

The programme provides you with an in-depth knowledge about

- Methods for analysing data to support decision making
- How to improve business processes on the basis of business analytics

The courses of the programme will provide you with analytical skills to identify new business opportunities or identify inefficient business processes. The teaching form of the program encourages student participation and this in combination with the final thesis work will provide you with self-management and communication skills.

PROGRAMME STRUCTURE

PREREQUISITE COURSES

In the first semester you follow the prerequisite courses that form the methodological and academic basis for the further study programme.

In Business Analytics gives the student a set of tools and models that are essential for the design and evaluation of empirical investigations that can support decisions in the business intelligence area. The course will cover major research tools including research design, experiments,response models and forecasting.

IS Development & Implementation in a Business Context introduces a range of methods and techniques that can be used to understand, plan and execute the processes in which information systems are developed, implemented, evaluated and modified to enable the student to participate in the development, acquisition and implementation of information systems.

Data Warehousing provides the student with knowledge about the wide variety of database management systems available for a data warehouse solution and how to choose a solution that is relevant for the business intelligence project in question.

SAS and SQL for Business Analytics provides the student with skills to conduct proper data analysis using some of the most flexible environments available. Focus will be on data management and data manipulation with the purpose to prepare for a statistical analysis.

SPECIALISATION COURSES

In the second semester you follow the specialisation courses of the programme.

Data Mining for Business Decisions teaches students how to work with large datasets and how relationships in such data can be detected with the purpose to transform data into knowledge. Business applications cover a broad range from marketing to accounting, logistics and supply chain management.

In Advanced Market Research the focus is on analytical customer relationship management. The course is devoted to customer base analysis and predictive modelling with a primary focus on customer lifetime value and customer retention.

Supply Chain Management aims to provide an introduction and a framework of the design and operations of performance management in contemporary supply chains.

Project Management aims to introduce the contents of general project management competences and provide the students with skills to manage a BI project.

In the third semester you can choose elective courses within your areas of interest. The courses can either be taken at the school during the semester, at the Summer University or at one of our more than 200 partner universities abroad. You can also participate in internship programmes either in Denmark or abroad.

The fourth semester is devoted to the final thesis. You may choose the topic of the thesis freely and so get a chance to concentrate on and specialise in a specific field of interest. The thesis may be written in collaboration with another student or it may be the result of your individual effort. When the thesis has been submitted, it is defended before the academic advisor as well as an external examiner.

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This programme provides technology-based graduates with the opportunity to develop an area of technological expertise through a major research project. Read more
This programme provides technology-based graduates with the opportunity to develop an area of technological expertise through a major research project. It also gives students understanding and skills in the methodology of research and the experience of a critical investigation of an approved topic at a high level.

Taught courses are chosen from the School's broad portfolio and should be appropriate to the student's project area. The student must undertake a research methodology course as the basis for the project. The project itself is one of the student's free choices, within the constraints imposed by his or her education, training and experience. It is designed to be very practical, to provide more time than is traditionally allowed for such a project and to emphasise the work-based aspects of the subject matter.

Project proposals must be prepared and agreed by the programme leader before applicants are accepted on to the programme.

There are also MPhil/PhD opportunities.

Visit the website http://www2.gre.ac.uk/study/courses/pg/res/cmsresmsc

What you'll study

Recent topics include:

- Enterprise, Distributed and Web Technologies
- Networking, Security, Forensics and Risk Management
- Information Systems, Data Warehousing and Data Mining
- Computing and Information Technology
- Applied Mathematical Modelling, Fire Safety Engineering and Scientific Computing
- Cinematography

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.

Find out more about our fees and the support available to you at our:
- Postgraduate finance pages (http://www.gre.ac.uk/finance/pg)
- International students' finance pages (http://www.gre.ac.uk/finance/international)

Assessment

Students are assessed through examinations, coursework and a project.

Career options

This MSc provides the student with significant skills from undertaking a substantial independent piece of research. It enables successful graduates to extend their research skills at a higher level in industry or academia.

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

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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