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Masters Degrees (Data Warehouse)

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This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data. Read more
This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.

STUDY IN TWO GLOBALLY-RECOGNIZED INSTITUTIONS

Ecole Polytechnique (https://www.polytechnique.edu/en) and HEC Paris are both world leading academic institutions, renowned for the quality of their degrees, faculties and research (see HEC rankings http://www.hec.edu/Masters-programs/About/Rankings).

Their association within this Joint Degree represents the best Business/Engineering combination Europe could possibly offer, with extraordinary added value for the students who will follow this program in Big Data and Business.

LEAD THE DIGITAL TRANSFORMATION OF THE ECONOMY

Big data marks the beginning of a major transformation of the digital economy, which will significantly impact all industries. There are three main challenges to face:

> Technological: dealing with the explosion of data by managing the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.)
> Scientific: replacing mass data with knowledge,i.e. developing the expertise that makes it possible to structure information, even out of tons of vague or corrupt data.
> Economic: managing data both to control risks and benefit from the new opportunities they offer. On the one hand, it is absolutely vital to be able to control the flow of information, anticipate data leaks, keep the information secure and ensure privacy. On the other hand, it is also essential to come up with solutions capable of transforming this flow of data into economic results and, at the same time, discover new sources of value from the data.

ACQUIRE THE SKILLS TO MAKE A DIFFERENCE IN TOMORROW’S DIGITAL WORLD

Exploiting this vast amount of data requires the following:

> A mastery of the sophisticated mathematical techniques needed to extract the relevant information.
> An advanced understanding of the fields where this knowledge can be applied in order to be in a position to interpret the analysis results and make strategic decisions.
> A strong business mindset and an even stronger strategic expertise, to be able to fully benefit from the new opportunities involved with Big Data problematics and develop business solutions accordingly.
> The ability to suggest and then decide on the choice of IT structures, the ability to follow major changes in IT systems, etc.

Therefore the program has three objectives:

> To train students in data sciences which combines mathematic modelling, statistics, IT and visualization to convert masses of information into knowledge.
> To give students the tools to understand the newest data distributing structures and large scale calculations to ease decision-making and guide them in their choices.
> To form data ‘managers’ capable of exploiting the results from analysis to make strategic decisions at the heart of our changeable businesses.

MAKE THE MOST OF WORLDWIDE NETWORKING AND ALUMNI POWER

Students will benefit not only from the close ties that HEC Paris has developed with the business world but also those of Ecole Polytechnique, through various networking events, conferences and career fairs.

The HEC Alumni network alone, consists of more than 52,300 members in 127 countries.

Program Details

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Program-Details

Campuses

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Campuses

CAREERS

As “Big Data” affects all kinds of companies and all sectors, students will have a very large range of career options upon graduation, from consulting firms to digital start-ups, not to mention very large multi-national companies.
In fact, as can be seen in all areas of cutting-edge innovation, there is a growing demand for high level managers who can combine strong technical skill with business know-how.

This is especially true when it comes to Big Data topics, and students graduating from data science and Big Data programs are therefore highly sought after on the job market.

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Careers

FAQs

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/FAQ

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There has been a recent upsurge in commercial interest in the new role of "data scientist". A data scientist is a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data"). Read more
There has been a recent upsurge in commercial interest in the new role of "data scientist". A data scientist is a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data").

Why study Data Science at Dundee?

The School of Computing has been working on 'big data' and data analysis for at least five years; not only working with data but also developing new algorithms and techniques for data scientists. The School already runs the most successful Business Intelligence Masters course in the UK.

This course will be led by Professor Mark Whitehorn and Andy Cobley. Mark is an emeritus professor at the University of Dundee and also runs a successful consultancy company that specialises in BI, Data Sciences and analytics. Andy is the course organiser for both the existing BI course and the new Data Science course.

This course will enhance your employability by providing you with knowledge, skills and understanding of data science research and implementation. You will also acquire skills in the professional procedures necessary to ensure that data science research and implementation is both valid and actionable and engage with contemporary debate about the role, ethics and utility of data science in commercial and other settings.

What is the difference between Data Science and Business Intelligence?

There is clearly a huge overlap with Business Intelligence. A BI specialist will need to understand data and data analytics. However there is a bias towards understanding how data is stored in the current operational systems within an enterprise the design and the implementation of an analytical system such as a data warehouse. A data scientist will be less concerned with the construction of a data warehouse and more interested in the message the specific sets of data can deliver.

However, without some understanding of data warehouses the data scientist will find it difficult to interrogate the data for its secrets. For this reason there is overlap between the two courses.

If you already have a strong grounding in Business Intelligence and would like to upgrade your knowledge to include topics from the Data Science MSc, we offer the relevant Data Science modules either on a stand alone basis or as a PGCert.

What's so good about Data Science at Dundee?

Our facilities will give you 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

A booming Postgraduate culture where the School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

Duncan Ross (Director of Data Sciences at Teradata) has said that: "The first and most important trait is curiosity. Insane curiosity. In many walks of life evolution selects against the kind of person who decides to find out what happens 'if I push that button'. Data Science selects for it."

How you will be taught

The programme will be delivered by Prof. Mark Whitehorn with input from Andy Cobley, Yasmeen Ahmad, Chris Hillman and other specialists from within the School of Computing in an innovative blend of live co-presented master-classes, video seminars and recorded materials. A series of guest speakers from industry will provide case studies across both semesters.

The programme will be provided predominantly on-campus, with two intensive study weeks in each of the semesters. Other classes may be taken off-campus using the university’s VLE, remote desktop, Adobe Connect and video conferencing systems along with telephone conferencing.

What you will study

Semester 1
Big Data - 20 Credits
Business Intelligent Systems - 20 Credits
Data Analysis and Visualisation - 20 Credits

Semester 2
Analytical Database Models and Design - 20 Credits
Advanced statistics and data mining - 20 credits
MDX - 20 Credits

Semester 3
Data Science Mini Project - 20 credits (for Certificate)
Data Science Research Project - 60 credits

PGCert:
The PGCert is intended for students who have a strong grounding in Business Intelligence and would like to upgrade their knowledge to include topics from the Data Science MSc. The modules are available stand alone for those who want to take their time studying the material and perhaps build up to a PGCert.

The three modules that make up the PGCert are:
Big Data
Advanced Anlaysis
Mini Project

For more information about the content of the course, please visit the course webpage on the School of Computing website.

How you will be assessed

Assessment will be by examination, practical coursework and research project.

Careers

Various job sites now report an increase in jobs carrying the title of data scientist. Other career opportunities are in intelligence analysis, data management/database maintenance, data processing manager, database development and research, business intelligence consultant and more.

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Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. Read more

About the course

Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. This is a set of technologies and processes used to understand data and analyse business performance.

Data Analytics MSc, developed and run with SAS, has been specifically designed to equip you with the skills and abilities to address this shortage. On successful completion of the course you will have developed your analytic and technical knowledge, and enhanced your professional skills within a Business Intelligence context.

You will be equipped with the relevant skills for employment in any field of data science (such as business intelligence, data mining, SAS programming and database design) within any target industry, with the additional option to complete a placement year in industry to further enhance your employability.

There is a growing need for professionals who can combine both analytical and software techniques in appropriate ways to allow the processing of ‘big data’. Data Analytics MSc is designed to provide these analytics and processing skills embedded within a business intelligence context.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills

• Developed to fill skills shortage
course content has been developed to enhance your employability and gain substantial knowledge and equipping you with the skills required in for the use of the SAS software as well as Hadoop Distributed File System (HDFS) in industry

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, data analytics to business problems

• Industry placement opportunity
you can chose to undertake a year-long work placement gaining valuable experience and skills as well as networking opportunities to build your industry contacts

• Excellent graduate prospects
equipped with the relevant skills for business intelligence and data mining roles including SAS Programming, Database Design and Business Intelligence

Course Structure

Modules

First semester (September to January)

• Statistics
• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP

Second semester (February to May)

• Business Intelligence Systems Application and Development
• Big Data Analytics
• Data Mining
• Research Methods

Third semester (June to September)

• Individual project

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week.

Industry Association

The Data Analytics MSc was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Management of information is key to the success of modern organisations. Studies show that information professionals should take account of business strategy, cultural and behavioural issues and have an understanding of systems concepts. Read more
Management of information is key to the success of modern organisations. Studies show that information professionals should take account of business strategy, cultural and behavioural issues and have an understanding of systems concepts.

Consequently, there is a need for professionals to employ appropriate approaches to systems development in a diverse variety of contexts. We recognise the demand for such talent and our course will enhance your ability to communicate with the business community to identify organisational information requirements, to build models of those requirements and develop successful systems.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/informationmgt_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

You can look forward to a wide range of career opportunities in information management and development. Possible jobs include information manager, information analyst, management / business consultant, data and management information specialist, information management and analysis consultant, knowledge management, research associate, database manager, Knowledge Transfer Partnerships (KTP) associate, library and information manager, and public sector information manager or professional.

- Information Manager
- Business Consultant
- Database Manager
- Knowledge Transfer Partnerships (KTP) Associate

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

This course has strong links with the industry, ensuring what we teach is up-to-date and responds to the needs of the sector. Guest lecturers are invited to speak and you will have the opportunity to get involved with industry related events. You will have the opportunity to benefit from our industry contacts by engaging with our external clients for your final project.

Modules

Option Modules (20 Credits each)
Data Warehouse Models & Approaches (SAS)Green Computing StrategiesGreen Computing Technologies

Managing Information in the Digital & Global Environment (20 Credits)
Database Systems (20 Credits)

Project Management (20 Credits)

Critical Perspectives on Information (20 Credits)

Research Practice (20 Credits)

Dissertation / Masters Project (40 Credits)

Systems, Designs, Innovation (20 Credits)

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This is a flexible course which you can tailor to suit your own specific areas of interest, experience and career aspirations. You will have the opportunity to choose from a range of modules in areas such as information systems, computing and creative technologies. Read more
This is a flexible course which you can tailor to suit your own specific areas of interest, experience and career aspirations. You will have the opportunity to choose from a range of modules in areas such as information systems, computing and creative technologies.

Our modules vary in their technical nature with either a practical or theoretical focus, and we will advise on which ones are right for you.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

Visit the website http://courses.leedsbeckett.ac.uk/informationandtechnology_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Your employability is enhanced through our contacts with industry, our Careers Advice Service and providing you with up-to-date knowledge and skills which are in demand in this sector. You can look forward to a wide range of career opportunities in the field of internet, enterprise software development and information systems.

- Web Developer
- User Interface Designer
- PHP Developer
- IT Project Manager

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

Our course has strong links with industry to ensure content is always relevant to the needs of the sector and you are encouraged to engage with our external clients for your final project. Guest lecturers are invited to speak and you will have the opportunity to get involved with industry related events.

Modules

Dissertation (40 Credits)

Research Practice (20 Credits)

Option Modules (Semester 2) (20 Credits each)
Service Oriented Architecture; Green Computing Strategies; Systems, Designs, Innovation; Software and Systems; Critical Perspectives on Information; Mobile Application Development; Data Warehouse Models and Approaches(SAS); Intelligent Systems and Robotics; Lean and Agile Engineering; Mobile Games Prototyping; BI Principles, Data Analysis and Visualisation(SAS); Network and Convergence Architectures; Green Computing Technologies; Engineering Systems Control; Design Patterns for Web Dev.

Option Modules (Semester 1) (20 Credits each)
Database Systems; Managing Information in the Digital and Global Environment; User Experience Design; Digital Video and Audio; Mobile and Wireless Communications; Advanced Software Engineering; Eco Engineering; Software Components and Architecture; ICT and Environment; Responsive Web Development; 3D Computer Technologies; Simulation and Modelling; Network Management.

Project Management (20 Credits)

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This course offers you the opportunity to explore the latest concepts, methods and tools for software engineering. You will investigate state-of-the-art techniques relating to software quality, design and development which will enable you to produce robust and complex systems. Read more
This course offers you the opportunity to explore the latest concepts, methods and tools for software engineering. You will investigate state-of-the-art techniques relating to software quality, design and development which will enable you to produce robust and complex systems.

This hands-on course has been developed in conjunction with our industrial contacts in order to equip you with the skills required by employers. You will develop management techniques, advanced modelling skills and applications that will enable you to progress in your career.

The course is taught by experts who are working in the industry and you will have the opportunity to gain a professional certification. Our course has been developed as part of on-going research on software components and Service-Oriented Architecture (SOA).

January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/softwareeng_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

You will graduate from this course with a thorough understanding of the practical and theoretical issues associated with managing software development. There is an increasingly short supply of talent in software engineering and its management, and you will possess the skills that are highly sought after in the industry.

- Project Manager
- Technical Manager
- IT Manager
- Business Analyst

Careers advice: The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

This course offers both hands on knowledge and on up to date theoretical background. You will benefit from our close links with industry, while our own research activities feed into our course teaching. We will help you to develop skills implementing best practices when designing software solutions and strategies.

You will be able to use Visual Paradigm software, a design and management tool for business IT system development, on several modules on this course. This is provided in partnership with Visual Paradigm (http://www.visual-paradigm.com/).

Modules

Advanced Software Engineering (20 Credits)
This module investigates the knowledge and skills you will require to develop quality software systems including contemporary methodologies and techniques for version control, testing and documentation. Content include: Test-driven development tools and techniques. Aspect-oriented software development, Agile SE paradigms, methods, Extreme Programming methods (XP).

Project Management (20 Credits)
Develop your understanding of key project management concepts - primarily the planning, organisation and control of resources in order to move a specific task, event or project toward completion.

Dissertation (40 Credits)
The dissertation / Masters project aims to provide an opportunity for you to engage in research and advanced scholarship in a subject area that is appropriate to your course but of your own choosing.

Research Practice (20 Credits)
This module aims to develop your awareness of the methods and skills which are required in order to carry out Masters level research successfully, and to reflect critically on your own development in the context of your chosen programme of study.

Service-Oriented Architecture (SOA) (20 Credits)
SOA is a software development paradigm specifically developed for emerging markets in cloud computing and web services. This involves analysing, designing, and managing solutions for SOA. This course will also have opportunity to gain real world certification from SOA systems who is one of the world expertise in this area. Content include: SOA concepts, technology, and design. Web services paradigms, SOA analysis, design, and implementation strategies.

Software Components and Architectures (20 Credits)
Software applications are becoming increasingly complex and their target platforms more diverse. The ability to manage such complexity is essential. This module develops your skills in Components Based Software Engineering (CBSE), in particular modelling techniques, analysing system complexity, and applying best practice design principles.

Software & Systems (20 Credits)
You'll examine the techniques and technologies used in low level systems programming. You'll learn to apply development approaches which are 'core' to the functionality of a modern day computer system.

Design Patterns for Web Development (20 Credits) (Option Module)
Network & Convergence Architectures (20 Credits) (Option Module)
BI Principles (20 Credits) (Option Module)
Mobile Games Prototyping (20 Credits) (Option Module)
Data Warehouse Models & Approaches (20 Credits) (Option Module)
Mobile Application Development (20 Credits) (Option Module)
Critical Perspectives for Information (20 Credits) (Option Module)
Systems, Designs & Innovation (20 Credits) (Option Module)

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality. Read more

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Industry Association

This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Have you ever noticed the adverts down the side of your Facebook page or received an email promoting a product you were 'looking for'? Do you wonder how this happens? Business intelligence and the insight it provides is now at the forefront of driving companies' strategic decisions. Read more
Have you ever noticed the adverts down the side of your Facebook page or received an email promoting a product you were 'looking for'? Do you wonder how this happens? Business intelligence and the insight it provides is now at the forefront of driving companies' strategic decisions. It's vital for businesses to understand their performance but, more importantly, identify their future potential.

This course teaches you to utilise data that is available to an organisation and present this information in an accessible format which will enable decision makers within a company to plan for the future.

You will study modules that are accredited by SAS - an industry leader in developing business intelligence tools - and this unique relationship will build your knowledge of their systems, enhancing your skillset to analyse data.

Whether it's to improve products, processes, consumer relationships or target customers - firms across all industries and managers across all departments benefit from good business intelligence. We will equip you with the skills to analyse data systems, advise colleagues and take a leading role in shaping a company's decisions.

You will graduate with the ability to understand the data and its sources, design and implement a data warehouse, and be able to act upon this information to support the business strategy planning. We will develop your skills in predictive analysis, report writing, identifying patterns, and how outside factors and current issues can affect the findings.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/businessintelligencesas_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Whether it's retail, insurance, banking, education, hospitals, police, medical research or the military - you will have the skills to help lead any business in any industry that uses business intelligence to make strategic decisions. If you already work in industry, possibly as a programmer or in IT, our course will help facilitate your career progression.

- Business Intelligence Analyst
- Test Consultant
- NHS Analytical Support Officer
- Corporate Performance Analyst

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

The NHS, banks and police are among those who already use SAS system tools, and you will have the opportunity to take the SAS test, a chance to become accredited to work on their systems.

SAS want to see a higher number of business intelligence graduates who possess more than just a background in maths and statistics - they also want strong computing skills. You will be one such graduate.

Guest speakers from the business intelligence industry will also improve your knowledge and understanding of how data can be used by companies to plan their next business move.

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- Library
Our Library is one of the only university libraries in the UK open 24/7 every day of the year. However you like to study, our Library has you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Broadcasting Place provides students with creative and contemporary learning environments, is packed with the latest technology and is a focal point for new and innovative thinking in the city.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This Masters course in Business Intelligence and Social Media, is supported by IBM (UK) and is aimed at graduates/practitioners seeking to enhance your practical skills and gain comprehensive knowledge of business intelligence, business analytics and the commercial tools applicable to 'big data' gathered from social media, the cloud and other data sources. Read more
This Masters course in Business Intelligence and Social Media, is supported by IBM (UK) and is aimed at graduates/practitioners seeking to enhance your practical skills and gain comprehensive knowledge of business intelligence, business analytics and the commercial tools applicable to 'big data' gathered from social media, the cloud and other data sources.

Business Intelligence has emerged in recent years as a key source of competitive advantage for companies, enabling them to improve performance across the business, from overall strategy to marketing.

Upon completion, you'll be prepared for a career in business intelligence utilising tools from major vendors including Microsoft, Oracle, SAS and Tableau.

Distinctive features of the course:
- Uniquely designed for both computing and non-computing graduates wishing to pursue a career in the IT industry.

- Develops practical hands-on experience in business intelligence and analytics using industry standard tools including MS SQL Server BI edition, Oracle 11g Database, SAS and Tableau.

- Provides a balance between business intelligence and social media subjects with a special focus on business intelligence architectures and analytics.

- Addresses latest IT trends including big data, social media analytics and digital publishing.

- Allows 'practitioner entry' for those who have had considerable industrial experience in relevant field and are able to demonstrate an ability to work at the master's level.

See the website http://www.lsbu.ac.uk/courses/course-finder/business-intelligence-social-media-msc

Modules

- Business Intelligence Architecture (20 credits)
Introduces students to Data Warehouse, ETL, MS SQL-SVR, Big Data processing environments Hadoop, and the associated addresses security, legal and ethical Issues.

- Database Management (20 credits)
This module teaches database design/architecture, database security, MS SQL SVR & Oracle SqlPlus + relevant extensions for PL/SQL, T-SQL and metadata exchange using XML.

- Human Computer Interaction (20 credits)
On this module you'll be introduced to HCI design, HCI lifecycle, usability, security, privacy, mobile/desktop HCI.

- Business Intelligence Analytics (20 credits)
This module teaches dashboards, SAS, algorithms & analytic techniques.

- Research methods (0 credits, delivered over 2 modules)
The modules aims to enhance your knowledge and skills in research methodology, research ethics, planning, research design and analysis, presentation in order to undertake a large research project.

- Social Media and Digital Publishing (20 credits)
This module provides an introduction to various social media technologies and tools such as google+, google analytics, Instagram, Facebook, twitter and content formats, marketing analysis, data provenance and data security.

- Strategic Management and Entrepreneurship (20 credits)
This module will introduce you to the essentials of the strategic planning process, the foundations of enterprise, entrepreneurship and SMEs, IT Strategy for SME's and managing innovation.

- Project (60 credits)
This module will see you undertake a substantial, independent research project building on the taught course.

All modules are assessed by a mix of coursework and examinations.

Employability

Career opportunities range from IT services to business consultancy and this course will prepare you for a career in the Business Intelligence community working actively with a range of resources including: BI tools from major commercial vendors including Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of Business Intelligence, Business/Data Analytics, in roles such as BI/BA Specialist, Data Analyst and Business Intelligence Developer.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Placements

The course encourages students to actively seek placements / work experience and voluntary work during their studies. Many of such opportunities are offered through the University's central Employability and Skills Unit.

Teaching and learning

Students receive academic support through the usual student tutoring system and project supervision. The course provides a virtual learning environment that facilitates e-learning.

The specialist software offered to students include Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

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The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. Read more
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.

A range of assessment methods is employed throughout the course:
-Case study reports and presentations
-Computer laboratory workshops
-Individual and group coursework
-Unseen examinations
-In class tests
-Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

The course has a September start with three semesters spread over one academic year. Each semester is 60 credits with the final semester dedicated to your dissertation.

Indicative core modules:
-Information Systems Development (20 credits)
-Enterprise Software Components and Systems Development (20 credits)
-Information Security (20 credits)
-Datawarehousing and Big Data (20 credits)
-Cloud Computing and Internet of Things (20 credits)
-MSc Project (60 credits)

Indicative optional modules, choose one from:
-Mobile Applications Design and Development (20 credits)
-Cyber Crime and Security (20 credits)
-Data Analysis and Visualisation (20 credits)

Detailed information about the structure and content of the course is provided in the course handbook which will be made available to the students at the start of the course.

After the course

The employment market has an abundance of posts that require skills in the three key areas of this course - Ccloud computing, big data and internet of things. There are many exciting employment opportunities available, including:
-Enterprise Component Developer and System Integrator
-Data Warehouse and Big Data Manager
-Embedded and Mobile Devices Programmer
-Network Security and Cyber Security Consultant

Additionally, the course provides skills for seeking more traditional, but high demand industry roles:
-Software Engineer
-Internet Programmer
-System Programmer
-Database Administrator
-System Administrator

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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 course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible. You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. Read more

Description

This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. You will develop technical, statistical, analytical and data mining skills. The course incorporates methods of statistical analysis and data mining to extract understanding from data, formulate high-quality data models and interpret them to ‘tell a story’. You will learn how to communicate these effectively to stakeholders, bearing in mind ethical, legal and societal implications.

You will be introduced to data science concepts, techniques and algorithms for processing and visualising datasets so as to infer useful, actionable knowledge.

Core units

- Computational Statistics and Visualisation
- Data Management and Machine Learning
- Data Science Project
- High Performance Computing and Big Data
- Introduction to Data Science

Career prospects

There has been a 35% increase in UK demand for Data Scientists between 2012 and 2015. Britain is expected to create an average of 56,000 new big data jobs per year until 2020 and McKinsey and Company reports that by 2018, there will be 140,000-190,000 job postings by Companies that they are unable to fill due to the lack of expertise. The range of job roles envisaged for graduates from this degree include, but are not limited to:

- Data Scientist
- Data warehouse analyst
- Data architect / modeller
- Database developer
- Data Governor
- Big Data Analyst
- Decision Sciences Analyst

Careers support is available from the moment you join us, throughout your time here, and for up to three years after the completion of your course. We have a range of services available through the School of Computing, Mathematics and Digital Technology and the University Careers Service including dedicated careers and employability advisors.
Professional Accreditation

The School is an educational affiliate of the British Computing Society – the Chartered Institute for IT in the UK (BCS), a member of the Oracle Academy and an Academy for the Computer Technology Industry Association (CompTIA). Many of the School’s degree programmes are accredited by BCS.

The School is also an academic partner of the Institute of Information Security Professionals who recognise our expertise in the field of information and cyber security. Mathematics degree courses are approved by the Institute of Mathematics and its Applications.

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The aim of this ‘cutting edge’ programme is to develop practical skills and critical awareness in relation to the state-of-the-art in business/enterprise systems integration (from a service-oriented perspective). Read more
The aim of this ‘cutting edge’ programme is to develop practical skills and critical awareness in relation to the state-of-the-art in business/enterprise systems integration (from a service-oriented perspective). At the end of the course, you should be able to:

Model key aspects of business in an integrated and logical manner.
Demonstrate a critical and practical understanding of the issues relevant to business systems integration and use in the context of modern business environments.
Demonstrate a critical and practical understanding of Enterprise Resource Planning Systems (ERP) and the role they play in business systems integration.
Demonstrate a critical and practical understanding of the professional skills necessary for effective business systems integration.
Reflect, critically and in-depth, on relevant aspects of the state-of-the art of both the practice and theory of business systems integration.
The practical elements of your course will be supported by SAP technologies. SAP is a leading provider of Enterprise Resource Planning systems and a keen innovator from a service-oriented perspective. Broadly speaking, you will gain experience of SAP R/3, Netweaver platform and business intelligence approaches. Consequently, you will get hands-on experience of technology and systems that will enhance your employability.

Course Details

In brief, your studies on the course will cover:

Research Methods

This module will introduce methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Enterprise Modelling

Cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

ERP Systems Theory and Practice

Examines the rationale, theories and practices around Enterprise Resource Planning systems (ERP) and develops the knowledge required to understand the forces driving ERP design and implementation. Example topics of study include enterprise systems strategy and rationale, issues of organisational implementation and business services, processes and functions from an ERP perspective. The module provides an introduction to the SAP R/3 environment and the practice of business process integration in that environment.

ERP Systems Deployment and Configuration

Examines the implications of implementing ERP systems in organisations and develops the key skills necessary to deploy and configure ERP systems. Example topics of study include business process improvement alongside enterprise systems configuration and configuration management (including Master Data Management, business services, processes and functions). The module examines practical aspects of configuration in the context of the SAP R/3 environment.

Service-oriented Architecture

Examines the organisational impact of service-oriented approaches and the technologies necessary for the successful implementation of enterprise and web services. Example topics of study include issues in creating and managing a system landscape based on services, architectural approaches to service-orientation and web service technologies (including semantic web services). Practical aspects of web service implementation are examined in the context of integration via the SAP Netweaver environment.

Data Management and Business Intelligence

Develops the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Systems project management

Develops a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Semantic Integration Frameworks

Helps you develop a critical and practical understanding of concepts, standards and frameworks supporting semantic system integration, with a particular emphasis on the Semantic Web – the web of the future. Example topics of study include ontologies and their uses, ontology management and integration, inferencing and reasoning for and in semantic integration, as well as semantic integration standards such as RDF and OWL.


Dissertation

In addition, provided that you have reached an acceptable standard in the assessments and examinations, you may then undertake a dissertation. Work on a dissertation for this course will normally involve an in-depth study in the area of distributed information systems and computing (eg, a state-of-the-art review together with appropriate software development) and provides you with an excellent opportunity to demonstrate your expertise in this area to future employers or as a basis for future PhD study. Additionally, you can now work on an internship during your dissertation (see Special Features below).

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Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop. Read more
Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop:
a systematic understanding of knowledge;
a comprehensive understanding of techniques relevant to your area of study;
the key skills associated with critical awareness and evaluation.

As part of your development on the course, you will be increasingly expected to demonstrate that you can deal with complex issues in a systematic and creative manner and demonstrate self-direction and originality in problem solving.

Your studies on the course will cover:

Research Methods

This module will introduce methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Enterprise Modelling

Cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

ERP Systems Theory and Practice

Examines the rationale, theories and practices around Enterprise Resource Planning systems (ERP) and develops the knowledge required to understand the forces driving ERP design and implementation. Example topics of study include enterprise systems strategy and rationale, issues of organisational implementation and business services, processes and functions from an ERP perspective. The module provides an introduction to the SAP R/3 environment and the practice of business process integration in that environment.

ERP Systems Deployment and Configuration

Examines the implications of implementing ERP systems in organisations and develops the key skills necessary to deploy and configure ERP systems. Example topics of study include business process improvement alongside enterprise systems configuration and configuration management (including Master Data Management, business services, processes and functions). The module examines practical aspects of configuration in the context of the SAP R/3 environment.

Service-oriented Architecture

Examines the organisational impact of service-oriented approaches and the technologies necessary for the successful implementation of enterprise and web services. Example topics of study include issues in creating and managing a system landscape based on services, architectural approaches to service-orientation and web service technologies (including semantic web services). Practical aspects of web service implementation are examined in the context of integration via the SAP Netweaver environment.

Data Management and Business Intelligence

Develops the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Systems project management

Develops a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Semantic Integration Frameworks

Helps you develop a critical and practical understanding of concepts, standards and frameworks supporting semantic system integration, with a particular emphasis on the Semantic Web – the web of the future. Example topics of study include ontologies and their uses, ontology management and integration, inferencing and reasoning for and in semantic integration, as well as semantic integration standards such as RDF and OWL.

Dissertation

In addition, provided that you have reached an acceptable standard in the assessments and examinations, you may then undertake a dissertation. Work on a dissertation for this course will normally involve an in-depth study in the area of distributed information systems and computing (eg, a state-of-the-art review together with appropriate software development) and provides you with an excellent opportunity to demonstrate your expertise in this area to future employers or as a basis for future PhD study. Additionally, you can now work on an internship during your dissertation (see Special Features below).

Awards

A master's degree is awarded if you reach the necessary standard on the taught part of the course and submit a dissertation of the required standard. If you do not achieve the standard required, you may be awarded a postgraduate diploma or postgraduate certificate if eligible.

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Information systems are becoming ever more central to society, especially in business and industry. As society and technology develop in parallel, the most important skills for the future lie in the development of individuals with the ability to both understand and manage these complex and interrelated systems. Read more
Information systems are becoming ever more central to society, especially in business and industry. As society and technology develop in parallel, the most important skills for the future lie in the development of individuals with the ability to both understand and manage these complex and interrelated systems.

Consequently, aspects of business that were once seen in isolation (people, organisation, process, information and technology) are now expected to operate as part of a seamless whole – both within and across enterprises. This places stringent new demands on the knowledge, skills and technologies required to develop and manage such systems.

The aim of this programme is to develop critical understanding of the management of information systems in the context of the organisational issues and challenges that impact on their development and application.


Enterprise Modelling, which cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

Systems in Context, which aims to develop a critical understanding of information and information systems and the role that each plays in the context of the modern working environment and society. Example topics of study include: concepts of 'information' and 'information systems', information revolutions and their impact, approaches to the implementation and use of information systems in modern working environments.

Research Method, which introduced methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Organisational Change and Business Improvement, which aims to develop a reflective understanding, alongside the knowledge and skills necessary to the implementation of new procedures or technologies intended to realign an organization with the changing demands of its business environment (or to capitalise on business opportunities). Example topics of study include: understanding and justifying change, change management, managing technology risks, ethical issues in change.

ICTs and Strategic Change, which aims to develop a critical awareness of the central issues and challenges in strategic approaches to information systems. Example topics of study include the nature of strategic planning and its key components, the relationship of IS/IT strategy to organisational aims and strategy, the assumptions of traditional planning approaches to strategic ICT adoption and state-of-the-art responses to issues and challenges.

Systems Project Management, which aims to develop a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Data Management and Business Intelligence, which aims to develop the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Business Integration, which aims to develop a critical understanding of the issues of integrating people, process and technology systems both within and across organisational contexts. Example topics of study include: the dimensions of business integration, collaborative working and its issues, virtual organisations, electronic markets and commerce policy.

Dissertation

In addition, you will be asked to produce a dissertation, which is an opportunity to build expertise in a more focused area that is of interest to you and which you may want to specialise in. The dissertation not only showcases your project management and subject specific skills to potential employers, but also serves as valuable experience and a solid building block for those wishing to pursue a PhD, on completion of their MSc. Your work will be individually supervised by a member of academic staff. You will be encouraged to critically examine the academic and industrial contexts of your research, identify problems and think originally when proposing potential solutions that serve to demonstrate and reflect your ideas.

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