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Masters Degrees (Business Intelligence)

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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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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.

Expectations for MSc Economics and Business Adminstration - Business Intelligence

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. Furthermore, 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

Get more details about the programme here >>

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 AND COURSES

1st semester: Prerequisite courses

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

The course 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. Moreover, 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.

2nd semester: Specialisation courses

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

Data Mining for Business Decisions teaches students how to work with large data-sets 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.

3rd semester: Electives at Aarhus BSS or abroad

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 300 partner universities abroad. You can also participate in internship programmes either in Denmark or abroad.

4th semester: Final thesis

The fourth semester is devoted to the final thesis. You may choose the topic of the thesis freely and 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.

Student testimonials from Aarhus BSS - Aarhus University >>



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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.

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.

Course structure

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

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

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

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



Read less
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.

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.

Course structure

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

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

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

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



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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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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).

Full time

Year 1

Students are required to study the following compulsory courses.

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

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

Part time

Year 1

Students are required to study the following compulsory courses.

Year 2

Students are required to study the following compulsory courses.

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

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

Assessment

Students are assessed through examinations, coursework and a project.

Professional recognition

This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). For a full Chartered status there are additional requirements, including work experience. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Careers

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



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This course provides an opportunity for candidates wishing to formalise their existing IT experience with a qualification, and for graduates of non-computing disciplines to develop the specialist skills suitable to transition into an exciting career in computing with a specialism in business intelligence. Read more

This course provides an opportunity for candidates wishing to formalise their existing IT experience with a qualification, and for graduates of non-computing disciplines to develop the specialist skills suitable to transition into an exciting career in computing with a specialism in business intelligence.

The course will provide you with the core computing and business intelligence knowledge and skills required to work within a technical IT environment. Throughout the course, content is complemented by practical work, undertaken in state-of-the-art facilities, using tools and techniques to allow you to match software solutions to the needs of businesses. This practical element will enhance your theoretical understanding by developing real-world problem-solving skills; enhancing your employability as a graduate.

What you will study

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. You will learn to use modern software tools and business intelligence environments, allowing you to match these to the needs of commerce and industry using appropriate development methodology to provide high-quality solutions.

STAGE 1

  • Object Oriented Programming
  • Data Management
  • Data Warehousing
  • IT Infrastructure and service management

STAGE 2

  • Data Visualisation and Analysis
  • Data Science Development
  • Intranet Systems Development
  • Software Project Engineering

STAGE 3

  • MSc Project Investigation
  • MSc Project

Teaching and assessment

You will be taught through a mixture of lectures, tutorials, labs and external speakers, supported through our online virtual learning environment affording access to a wide variety of resources and support materials.

Part-time September start students

  • A) Part-time September start students who would like to work on their project during the summer start their project in May of their second year and complete in December of their third year. (Approximately 28 months)
  • B) Part-time September start students who would like to avoid working on their project during the summer start their project in September of their third year and complete in May that year.  (Approximately 33 months)

Part-time January start students

  • C) Part-time January start students who would like to work on their project during the summer will start their project in January of their third year complete their project in August that year. (Approximately 32 months)
  • D) Part-time January start students who would like to avoid working on their project during the summer will start their project in January of their third year, have a break during the summer semester and continue their project September-December that year. (Approximately 36 months)

ACTIVITY SUMMARY

Lectures

  • 25 students per group for 7 hours per week (Semester 1)
  • 25 students per group for 6 hours per week (Semester 2)

Project Supervision

  • 1 student for 1 hour per week (Semester 3)

Practical class or workshop

  • 25 students per group for 10 hours per week (Semester 1)
  • 25 students per group for 9 hour per week (Semester 2)

Independent Study

  • 23 hours per week (Semester 1)
  • 25 hours per week (Semester 1)
  • 39 hours per week (Semester 3) 

INDEPENDENT STUDY

A significant portion of this courses is underpinned by independent learning, and you will be expected to be responsible for managing your coursework, reading and other learning activities appropriately.

STAFF DELIVERING ON THIS COURSE

Our staff members feature in the annual Support and Teaching staff with Appreciation and Recognition (STAR) awards voted by the students and organised by RGU:Union. Recently we have been awarded two Lecturer of the Year awards and an award for Continued Excellence.

Many of our academic staff are Fellows or Senior Fellows of the Higher Education Academy or are working towards this accolade. This is a professional recognition of practice, impact and leadership of teaching and learning.

Staff on this course could also include: visiting lecturers, visiting Distinguished Researchers, library staff and industry experts and postgraduate researchers.

ASSESSMENT

Typically students are assessed:

  • 5 written exams, typically for 3 hours per exam
  • 1 written assignments, including essays
  • 2 report
  • 2 dissertation
  • 2 project outputs
  • 2 oral assessment
  • 7 practical skills assessment
  • 1 group critique

Placements

Students have the option to seek a short placement. However, permission to undertake a placement is at the discretion of the School and is not guaranteed.

Job prospects 

As a graduate of this course you could go on to work in a wide variety of IT careers, for example, a Network Manager, Network Administrator, Software Engineers, Applications Developer, Business Analyst, Database Developer and Web Developer. You could also go on to pursue a career in research or academia. 

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

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

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

Please visit the website to find out how to apply.



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Course content. Please note that this course will not start until September 2019. We have designed this MSc course in consultation with industry partners. Read more

Course content

Please note that this course will not start until September 2019.

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

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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Data is the blood flow of organisations. and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a . Read more

Data is the blood flow of organisations and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a 14 to 18-month master programme taught fully in English and accredited by the CGE. The programme trains Business Intelligence and Analytics professionals able to decode, analyse and interpret data in order to efficiently use the information to opitmize the decision-making process for the management. Students will practice the usage of analytical techniques, software tools, information systems and applications that are used to analyse what happened in the past while better anticipating the future. The programme focuses on the following areas: business modeling, data discovery, data visualization and data analysis.

Lectures are given by academic professors along with experts of different industries delivering real examples and transmitting their knowledge directly to the students.

Classes last from October to May, followed by an internship of a minimum of 4 months along with an executive report.

Target

Recent graduates and professionals from different backgrounds and expreiences looking forward to bridging the gap between IT and business requirements in order to enhance the decision-making process.

Strengths

  • Taught fully in English
  • Practical training: Mix of theory, practice and external conferences from professional references.
  • Mastery of world-famous tools and software : Use of market-leader software as MicroStrategy and SPSS through projects in agile method. Mix of theory and practice.
  • Preparation of future expertsAn executive internship to apply the knowledge learnt and obtain professional experience.

Professionalisation

Internship and Thesis

As part of the master programme, students of the MSc. in Business Intelligence & Analytics take on an internship or a work placement for a minimum of 4 months. The internship can be in France, Europe or any other international destination.

The internship is a great opportunity for students to conquer the business data worldobtain professional experience, acquire new skills, and develop existing skills.

Each student is individually supervised by a designated advisor and completes a professional thesis, followed by an oral defense and company assessment.

  Companies that welcome our students:

  • Microsoft
  • Capgemini
  • Valeo
  • BNP Paribas
  • Limgrain
  • L’Oreal
  • Michelin

Financing

Various flexible payment plans and scholarships are offered to international students.

Careers

On Business side

  • Business Analyst
  • Data Manager
  • Information Manager
  • BI/BA Project Manager
  • BI/BA Team Manager

On Information Systems side

  • BI/BA Functional Analyst
  • BI/BA Consultant
  • BI/BA Architect
  • BI/BA Scrum Master
  • BI/BA Domain Manager


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IMF Business School, in collaboration with the Camilo José Cela University, launches the Master in Business Analytics and Big Data. Read more

IMF Business School, in collaboration with the Camilo José Cela University, launches the Master in Business Analytics and Big Data. This program aims to provide students with a global view of Big Data technologies and their use, as well as applied and practical training in Business Analytics. IMF is a member of the Association of Computer Technicians (ATI).

This Master's degree is aimed at both new graduates and experienced professionals who wish to focus on the new professions related to data analysis (Data Analyst, Data Scientists, Chief Data Officer, Data Engineer ...). The recommended access profiles are those related to ICTs, careers with a high qualitative component, and careers in business and economics.

The Master's Degree in Big Data of IMF, of an academic year of duration, is taught in online mode supported by an advanced technological platform that allows the student to access the study, regardless of geographical location or time availability.

With the IMF Student Centered methodology, the student is placed at the center of all training services and guides the institution towards academic and professional success. The student will be able to know his progress at all times, be attended when he needs to, access to all resources with total freedom and have a coaching service, headhunting and job placement.

All students who successfully complete this program will obtain a double Master's degree from the University Camilo José Cela and Master by MFI Business School. They will have at their disposal all the advantages of MFI:

  • Program Scholarships and Study Grants
  • Recruiters with over 12,000 vacancies posted in the last year
  • Unlimited tutoring
  • Live online classes
  • Masterclasses and networking sessions
  • Financing up to 12 months without interest or bank intervention
  • Virtual library with over 30,000 references
  • Virtual library with access to any master classes
  • Access to the VIP Club with discounts on leisure, travel, restaurants ...

TEMARY:

  • MODULE I - Technological Foundations for Data Processing
  • MODULE II - Models and Statistical Learning
  • MODULE III - Applied Automatic Learning
  • MODULE IV - Text Mining and Natural Language Processing (NLP)
  • MODULE V - Business Intelligence and Visualization
  • MODULE VI - Big Data Infrastructure
  • MODULE VII - Storage and Data Integration
  • MODULE VIII - Value and Context of Big Data Analytics
  • MODULE IX - Analytical Applications
  • MODULE X - Final Master's Work
  • COURSE I - English Course


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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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The Big Data in Business pathway will provide you with the knowledge and skills to understand and direct the strategic use of the vast amounts of information being generated by businesses today. Read more

The Big Data in Business pathway will provide you with the knowledge and skills to understand and direct the strategic use of the vast amounts of information being generated by businesses today.

Commercial focus

Our students learn to develop a strategic approach to managing Big Data in business, through the analysis of business problems as well as understanding different approaches to business intelligence. Through this, they are able to create usable business intelligence to create competitive advantage for their organisation.

After you’ve graduated

Our graduates have will leave us with the knowledge and skills necessary to analyse and manage Big Data to benefit business in a variety of sectors.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Big Data in Business pathway will be equipped to develop strategies to manage Big Data. These skills are much in demand, in a variety of fields.  

A number of our students join our PhD programmes each year.

Students who pass the module – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice.



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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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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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Are you looking to complement your undergraduate studies with a business-focused master’s degree that will enhance your employability? Do you want to explore… Read more
Are you looking to complement your undergraduate studies with a business-focused master’s degree that will enhance your employability? Do you want to explore the latest techniques for analysing ‘big data’ in order to improve an organisation’s decision making? This course develops broad business skills while also offering a specialist pathway in business analytics that starts after the first semester.

Specialist modules cover topics like business intelligence and marketing metrics. The course culminates in either a master’s dissertation or, if you prefer, a consultancy project where you’ll tackle an issue faced by a real client. Throughout the course there’s a focus on self-development and employability.

There is no requirement to have studied business or business analytics at undergraduate level.

The course is covered by the prestigious AACSB accreditation for Newcastle Business School, which was ‘Business School of the Year’ at The Times Higher Education Awards 2015.

This course can also be studied over 2 years full time (with a year abroad) - for more information, please view this web-page:
https://www.northumbria.ac.uk/study-at-northumbria/courses/business-with-business-analytics-with-study-abroad-msc-dtybba6/

Learn From The Best

Newcastle Business School has a global reputation for delivering some of the best business management education in the UK. We are part of an elite group of less than 1% of business schools worldwide with double accreditation from the Association to Advance Collegiate Schools of Business (AACSB) in business and accounting.

Our staff are actively pushing at the frontiers of knowledge and generating new concepts and insights. Over 40% of our publication outputs and 60% of our impact case studies have been assessed as internationally excellent or world leading. The quality of our research, teaching and engagement with business were among the factors that led to Newcastle Business School being named ‘Business School of the Year’ at the Times Higher Education Awards 2015.

Teaching And Assessment

Your tutors will use a variety of teaching methods including lectures, seminars and workshops. As this is a master’s course there is a major element of independent learning and self-motivated reflection.

Teaching is backed up by a well-designed support system that helps ensure a successful learning journey. We make sure that extensive feedback, from both tutors and peers, is built into the course.

Our assessment strategy is based on our understanding that everyone has different needs, strengths and enthusiasms. Assessment is based on course work and our methods will include essays, reports, group work and presentations. The master’s dissertation or consultancy project will form a major part of the assessment.

Learning Environment

Newcastle Business School provides first-class teaching in a world-class environment. From social spaces and hub areas to lecture theatres and exhibition spaces, our facilities are exceptional. The University’s library was ranked #2 in the UK in the Times Higher Education Student Experience Survey for 2015.

The University has also invested heavily in IT labs and facilities. You’ll use software such as ARIS Express Business Process Modelling, various SAS applications, Microsoft Project, specialist decision-making software, and Google Analytics.

Technology Enhanced Learning (TEL) is embedded throughout the course with tools such as the ‘Blackboard’ eLearning Portal and electronic reading lists that will guide your preparation for seminars and independent research. Our use of lecture capture software will help you revise challenging material.

There will be plenty of opportunities to put your learning into practice. The Student Engagement Centre promotes all types of experiential learning including volunteering, internships and placements. The Business Clinic enables our students to participate in a ‘consultancy firm’ to provide advice for our region’s businesses.

Research-Rich Learning

As a master’s student you’ll develop your research skills to a new, higher level. Your research supervisor will help you submit a proposal for your 15,000-word dissertation or your master’s consultancy project. We’ll support you in the development and completion of the dissertation/project.

If you decide on a master’s consultancy project you’ll be expected to show a deep understanding of the issues that are involved in the client brief. It’ll be essential to undertake primary and desk research combined with reading and reflection.

Throughout your course you’ll be an active participant in the on-going research agenda that’s at the heart of Newcastle Business School. With conferences and research events regularly taking place, and with staff discussing their own research as it relates to the topics you’ll study, there’s a strong emphasis on engaging in up-to-date enquiry-based learning.

Give Your Career An Edge

The course includes two modules that are focused on developing global management competencies. Topics during these modules include emotional intelligence, cultural awareness and the ability to work in diverse groups and teams, as well as project management and decision making.

A further module, ‘Academic and Professional Development’, has a specific focus on self-development. It includes formal sessions with our Careers and Employment Service which offers a range of workshops, one-to-one advice, and networking opportunities.

The master’s consultancy project offers an (optional) opportunity to develop practical experience. You’ll work in a small group, typically no more than five people, and tackle a live project from a host organisation under the mentorship of a member of our academic team. The project will require you to link theory to practice while simultaneously honing your employability skills.

Your Future

Our graduates typically go into professional and graduate management positions and, by the end of the course, you’ll be well-equipped to follow them. Thanks to the specialist modules – Business Intelligence, Marketing Metrics and Analysis, and the dissertation/consultancy project – you’ll have a particular edge in areas related to business analytics, including market research, digital marketing and consulting.

If you decide to start up your own business, it’s good to know that the combined turnover of our graduates’ start-up companies is higher than that of any other UK university.

Whatever you decide to do, you’ll have the transferable skills that employers expect from a master’s graduate from Northumbria University. These include the ability to tackle complex issues through conceptualisation and undertaking research, the ability to contribute to new processes and knowledge, and the ability to formulate balanced judgements when considering incomplete or ambiguous data.

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