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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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The Master's degree programme in Business Intelligence and Business Analytics covers both organisational knowledge and technological know-how. Read more
The Master's degree programme in Business Intelligence and Business Analytics covers both organisational knowledge and technological know-how. Besides more advanced knowledge of administration systems, students also gain a thorough insight into management concepts and supporting information technologies that ensure and improve companies' business efficiency. The special focus here is on Corporate Performance Management (CPM), which uses Business Intelligence (BI) for support in all corporate areas.

The degree programme also looks at quantitative methods and analytical applications with the aim of using the flood of business data profitably.

A compulsory semester abroad at Universidad Tecnológica Nacional Mendoza Argentina (http://www.frm.utn.edu.ar/) helps raise students' awareness of international specifics. The entire course is taught in Englisch.

Career options

Graduates of the Master's degree programme in Business Intelligence and Business Analytics can support companies in choosing, implementing, applying and maintaining Business Intelligence solutions. They act as the interface between a company's management and the IT department, providing coordination between these vital corporate organisations.

Typical working areas and job opportunities are:

As "Data Scientist", the graduates will function as the intersection between IT and department as well as the company management. They will build analytical models for economic tasks (e.g. in the area of Data Mining).
As "BI Specialist", the graduates will work in the IT department to support integrated Data Warehouses. Out of the variety of data, they are able to extract the data needed for specific economic tasks.
As "Business Analyst", the graduates will analyze the company processes and develop company-wide BI-strategies for their support.
Additionally, extensive knowledge in IT, data analysis and management make the graduates to attractive candidates for consulting agencies.

The obtained master's degree (M.Sc.) will qualify the graduates according to international standards also for obtaining a Ph.D. in the field of Information systems Research (ISR), e.g. in cooperation with Neu-Ulm University of Applied Sciences or Kingston University.

Curriculum

During the first semester at the Neu-Ulm University of Applied Sciences (http://www.hs-neu-ulm.de), the Master's degree programme in Business Intelligence und Business Analytics provides students with broad-ranging knowledge of corporate strategies, Business Intelligence and Information Systems.

During the second semester at Universidad Tecnológica Nacional Mendoza in Argentina students learn quantitative methods, analytical applications, key aspects of communication management and the culture and history of the partner country.

At the start of the third semester, students carry out a research project that will help them write their thesis during the same semester.

Neu-Ulm University of Applied Sciences

The Neu-Ulm University of Applied Sciences (HNU) provides Bachelor’s and Master’s degree programmes in business management. Thanks to partnerships with business companies and lecturers with management experience, the courses are very much practice-related. The HNU promotes cultural and social skills, and international mobility. Small study groups enable an
intensive mentoring and create a familiar atmosphere.

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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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The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects in software development and business intelligence (data science/data analysis). Read more
The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects in software development and business intelligence (data science/data analysis).

It allows those who wish to apply their knowledge and expertise in a technical environment to develop the computing and business intelligence skills needed to match software solutions to the needs of business. The course is suitable for graduates wishing to transition into an IT career from other disciplines, as well as for candidates wishing to extend their existing IT experience with a formal Computing qualification.

You will develop skills in business intelligence/data science, software development, database systems, and web programming, as well as the research and development skills required to undertake a sustained piece of data science or software development project work. The course is designed to provide the core computing and business intelligence knowledge and skills required to work within the IT industry, using software development and business intelligence tools and techniques to extend and enhance the knowledge and skills of non-computing graduates.

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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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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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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 exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. Read more

About the course

This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. The Business Intelligence and Social Media MSc draws together technology and business perspectives in order to understand the implications for social-media enabled business.

The course helps students prepare for a career in business and management within and beyond the IT sector by gaining technical skills and an appreciation of the crucial role social web technologies play in today’s organisations and their ability to transform business processes.

Aims

You will develop sound knowledge and understanding of new-media related business practices and transferable skills designed to meet the challenges of employment within the global economy.

You will gain understanding of the importance of information and mass communications technologies to the operations of modern businesses of all kinds.

You will be encouraged to reflect on the relevance of concepts to business and apply your newly developed skills in advance studies or professional practice. Successful graduates of the course progress to leadership and decision making roles in industrial organisations or develop successful consultancy and advisory businesses of their own.

Practitioners seeking a more commercially relevant and technology oriented master’s qualification in the area of new business technologies rather than an MBA find this course of interest.

Course Content

The MSc consists of both compulsory and optional modules, a typical selection can be found below. Modules can vary from year to year, but these offer a good idea of what we teach.

Compulsory Modules

Professional Consultancy in Business Intelligence and Social Media
Social Media
Business Intelligence
Mobile, Social Media and Cloud Services
Knowledge Management, Social Networks and Innovation
Entrepreneurship
Understanding Business and Management Research
Dissertation

Optional

Choose one module from these:

Global Outsourcing
International Business Ethics and Corporate Governance
Strategic Marketing Management
Global Diversity Management

Special Features

Brunel Business School won the Times Higher Education Awards Business School of the Year 2013

The course offers:

Curriculum focus on social media in business.
Teaching with and through social media.
Technologies introduced from non-tech perspective.
Focus on consultancy and entrepreneurship.
Opportunities for students to practice and develop problem analysis, solution design, advisory and communication skills, as well as to become familiar with business models and the life-cycle of business development.

Information Systems Evaluation and Integration Group

Academics who teach on this exciting programme are part of the Information Systems Evaluation and Integration Group which is a research centre of excellence that supports a number of Engineering and Physical Sciences Research Council (EPSRC) funded networks and projects. This group is housed in the Brunel Business School in collaboration with the excellent-rated (RAE score 5) School of Information Systems, Computing and Mathematics. ISEing is the first multi-disciplinary research group to receive government funding in the areas of Information Systems Evaluation, Enterprise Integration and eGovernment.

Teaching

The course is structured so that full-time students take four 15 credit modules per term, plus a 60 credit dissertation module in term 3. Each 15 credit module demands 150 hours of study comprised of 22 hours of tutor arranged contact time and a minimum of 128 hours of non-contact student managed time. Each module has its own form of assessment held at the end of the term in which the module runs, and can include essays, projects and group assignments. The dissertation is an extended research oriented task conducted individually and offers the opportunity for students to undertake in-depth investigation in to a topic of their choosing. Students may choose to develop a project in collaboration with an industrial partner, which can be focused on business solutions of practical relevance (rather than theoretical research).

Modes of Study

1-year full-time in September: The taught element of the course (September to April) includes eight modules; delivery will be by a combination of lectures, seminars and tutorials/group work. A further four months (May to September) is spent undertaking the dissertation.

1-year full-time in January: The taught element of the programme includes 8 modules which are delivered in two terms (four in January to April, and four in September to December); delivery will be by a combination of lectures, seminars and tutorials/group work. The dissertation is undertaken May to August, and then can be completed January to March after the second teaching term.

Graduate School Workshops

In addition to the events and training sessions organised within the Business School, master's students have exclusive access to the workshops and skills training provided by the Brunel University’s Graduate School.

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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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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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The programme is taught in the Faculty of Economic and Social Sciences in collaboration with the MBIT School, the only professional school dedicated exclusively to business intelligence and big data training.. Read more
The programme is taught in the Faculty of Economic and Social Sciences in collaboration with the MBIT School, the only professional school dedicated exclusively to business intelligence and big data training.

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to meet the potential gap for data analysis professionals around the world,. to prepare graduates to work with data in the business environment,. Read more

Course aims

•to meet the potential gap for data analysis professionals around the world,
•to prepare graduates to work with data in the business environment,
•provide a route for students in their transition from undergraduate study to employment in data-led sectors,
•provide the opportunity to gain practical experience in databases (and achieve two professionally accredited certificates) and a rigorous understanding of applied statistics, data mining, operational research and related areas.

This is a year-long programme including two terms of taught modules, succeeded by project work during the summer term.

1st term will include course work on:
• 3 core modules --Scientific Computing, Mathematical Modelling, Programming in C++ & Advanced Algorithms AND
•1 optional module—1 out of Generalized Linear Models, Financial Mathematics, Internet & Cloud Computing).

2nd term is similar in design with:
•3 core modules--Operational Research, Data Mining & Neural Networks, Financial Services Information Systems AND
•1 optional module—1 out of Computational Methods for PDEs, Applied Statistics, Further Statistics, Game Theory, Design & Analysis of Algorithms.

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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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This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community. Read more
This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community.

Data science is at the intersection of the fields of computer science, statistics, and design. In a rapidly evolving world, new types of big data are emerging from mobile devices, sensors, instruments, transactional systems, web logs, social media, the cloud and other sources. Businesses are accumulating big data at a rate that often exceeds their capacity to extract value from it.

MSc Data Science is ideally placed to provide you with technical knowledge and employer-focused skills required in a data scientist role. The course will develop your specialist knowledge of data acquisition, data cleansing, data analysis, information extraction, prediction, visualization, story-telling and explanation.

You'll gain hands-on experience using industry standard tools for data science, business intelligence and analytics including SAS, Tableau MS SQL Server, Oracle Database, and R Programming.

Modules

Research methods and professional issues
Future internet technologies
Statistical analysis and modelling
Business intelligence
Data management
Machine learning
Data mining and analysis
MSc thesis

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

Teaching and learning

You'll make use of our e-learning suite and learn in a combination of lectures, seminars, workshops and private study. You'll have access to specialist software including Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

Placements

You are encouraged to actively seek placements, work experience and voluntary work during your studies to improve your CV and to give you the opportunity to put theory into practice. Many opportunities are offered through the University's central Employability team, who can support you in finding a placement.

Accreditation

In order to ensure the course runs in accordance with industry recognised standards we are seeking accreditation for both Chartered Engineer (CEng) status as well as Chartered IT Professional (CITP) accreditation by the British Computer Society, the Chartered Institute for Information Technology.

We are also seeking Chartered Engineer (CEng) status with both the Institute of Engineering and Technology and the Engineering Council.

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 tools from major commercial vendors such as Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or 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.

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