MSc Information Management – Big Data in Business

Course overview

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.

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If you have any questions, please contact us by email at postgraduate@henley.ac.uk or by phone on +44 (0)118 378 7593.

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

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If you have any questions, please contact us by email at postgraduate@henley.ac.uk or by phone on +44 (0)118 378 7593.

How to apply

Apply for 2017 entry now

There are two different application processes: apply online and apply by post.

The quickest and easiest way to apply for Postgraduate study at Henley Business School, at the University of Reading is through the University’s online application service.

This allows you to complete your application information, attach electronic copies of your academic transcripts, certificates and other supporting information and also provides a facility for an email request to be sent to your referees enabling them to send your supporting references directly to us.

Apply online

Apply online now using the University of Reading's online application system.

Apply by post

If you are unable to apply online you can request a paper application form by telephoning +44(0) 118 378 5289 or writing to the Admissions Office, University of Reading, Miller Building, Whiteknights, Reading, RG6 6AB, UK.

When to apply

We operate a rolling admissions system and it is recommended that you apply early to secure your place. There is no specific deadline and applications will be considered until the programme is full. However, to allow time for us to process your application we recommend that you apply by the following dates for admission in October:

  • UK/EU applicants: by 1 August
  • International applicants: by 1 June

After you apply

You will receive a confirmation email when we receive your application form. Your application is then reviewed by a member of staff.  Successful applicants will receive a formal offer letter outlining any necessary entry cri­teria you will need to meet and you will be asked to confirm your acceptance of this offer.

A (non refundable) deposit of between £500 and £1,000 (depending on the programme you have applied for) is payable upon acceptance of an offer of a place. International applicants requiring a Certificate of Acceptance for Studies (CAS) for a visa will be sent the CAS details by email once all conditions of the offer have been met, and the relevant deposit has been paid.

Throughout the admissions process we will keep you updated with key information via email.   We also provide opportunities to interact with faculty and staff online.

You can find us on Facebook and keep up-to-date with news and events in the School or ask us a question. In addition, you can speak to a current student; our students and alumni are always happy to share their Henley experience.

Contact image

If you have any questions, please contact us by email at postgraduate@henley.ac.uk or by phone on +44 (0)118 378 7593.

Meet us

If you are unable to attend a postgraduate event please get in touch with our team.  We will be happy to speak to you by telephone, on Skype or through our Live Chat system (during UK office hours: 9 - 5 pm).

Our contact details are: postgraduate@henley.ac.uk or telephone: +44 (0) 118 378 7593.

Please see our full list of world fairs where you can meet a Henley representative. 

 

 

 

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Contact image

If you have any questions, please contact us by email at postgraduate@henley.ac.uk or by phone on +44 (0)118 378 7593.

Contact image

If you have any questions, please contact us by email at postgraduate@henley.ac.uk or by phone on +44 (0)118 378 7593.

Why Henley?

Key facts:

Duration: 12 months full-time or 24 or 36 months part-time

Start: September

Assessment: Exams, dissertation and individual and group assignments

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 : 70,000 Henley alumni 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

Part of world top 1% ranked university: Reading has a global reputation for its learning experience and employability potential.

Course modules

Module descriptions are correct for modules taught in the academic year 2017/18. Optional module listings are indicative, and may be subject to change.

Module Name Credits

Modules

Compulsory modules

Aims:
This module aims to enable students to develop an in-depth understanding of the nature, structure and function of information in the business domain. Students will gain knowledge of information requirements and presentation, working alongside users and subject specialists, to support their business functions. Through the course students will acquire the ability to plan, implement and evaluate IT-based solutions.

Outline content:

    • Understand the signs and types of signs (indices, icons and symbols) used in human communication and computer information systems, from semiotic and other relevant perspectives
    • Investigate the characteristics of organisational needs in the era of e-enterprise and the potential IT capabilities required to support business objectives and functions
    • Study the methods and techniques for aligning business and IT strategies, business and IT planning, requirements analysis and determination
    • Select appropriate theories, methods and techniques for application in the design and development of IT solutions

 

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20 [10 ECTS credits]

Aims: 
This module is designed to support students who are embarking on a postgraduate research project. It covers the entire research process, from the formulation of a proposal to the dissemination of results. It guides students in the preparation and planning of research projects, including: writing a research proposal, literature review, research paradigms, methods and techniques, project planning and management, ethical issues, writing research papers and dissertations, and oral presentations. 

Outline content:

  • Introduction to research and nature of research
  • Writing a literature review
  • Writing a research proposal – defining a research question and formulating aims and objectives
  • Research paradigms
  • Overview of research methods – quantitative and qualitative research, data collection strategies and issues
  • Management of research project
  • Ethical issues in research 
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20 [10 ECTS credits]

Aims:
This module is concerned with using a holistic approach to investigate and improve business situations, with a view to developing feasible business solutions to the problem domain. It aims to provide students with the theory and practice of capturing and analysing business needs in relation to organisational contexts, business strategies, stakeholders, and business processes. Methods and techniques for articulation and evaluation of business needs will be introduced.

Outline content: 

  • Rationale for business analysis and requirements
  • Organisational, social and cultural impacts on business domain analysis
  • Strategy and stakeholder analysis
  • Business systems analysis/modelling
  • Business process analysis/modelling
  • Managing change
  • Making a business case

 

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20 [10 ECTS credits]

Aims:
This module is concerned with how business intelligence and data mining techniques can be used for managerial decision-making. It aims to provide students with the essential data mining and knowledge representation techniques used to transform data into business intelligence. Application areas covered in this module include marketing, customer relationship management, risk management, personalisation, etc.

Outline content:

  • Concepts of business intelligence and data mining
  • Overview of various data mining techniques
  • Types of data, data cleaning, data integration and transformation, data reduction
  • Classification and predictive modelling
  • Cluster analysis for generating patterns of data and structuring business intelligence
  • Association rule mining and market-basket analysis
  • Business intelligence implementation, integration and emerging trends
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20 [10 ECTS credits]

Aims:

Given the availability of large amount of both structured and unstructured data in business, there is a need for organisations to assess how effectively Big Data can be utilised for business. The aim of this module is to evaluate the business value in utilising Big Data and develop information management solutions with an appreciation of business analytics methods and technologies.

Outline content:

  • Business opportunity in the era of Big Data – case studies
  • Business analysis for big data and business intelligence
  • Methods, techniques and tools for Big Data
  • Data and information management for Big Data
  • Big Data visualisation
  • Developing a Big Data strategy
  • Professional, leadership and ethical issues in Big Data solutions
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20 [10 ECTS credits]

Aims:
This module aims to provide students with the opportunity to undertake a substantial research project, drawing on the knowledge and skills acquired from past experience and from the taught part of the MSc programme. It enables students to learn how to conduct a research project, develop problem-solving and critical-analytical skills, and manage research activities. There are opportunities to carry out the project with external organisations.

Outline content:

  • Progression from the Research Methods module (research proposal, literature review, and project planning)
  • Regular meetings with supervisors
  • Interim report
  • Dissertation report
  • Oral presentation
SEE FULL DESCRIPTION

40 [20 ECTS credits]

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. 

Aims:
This module aims to enable students to understand management theories and project management practices such as Agile and PRINCE2. Students will be able to carry out project planning with different methods, and incorporate risk management and quality control techniques. Students will also be able to understand the characteristics of IT projects and improve the success rate of project management.

Outline content: 

    • Theories and principles of project management
    • Project management in organisations
    • Methodologies (e.g. Agile and PRINCE2) for project management
    • Project planning and delivery (e.g., estimating, scheduling, resourcing, and monitoring)
    • Risk management
    • Quality control mechanisms

 

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20 [10 ECTS credits]

Aims:
This module aims to provide students with a ‘systems thinking’ approach for analysing business needs and designing a software system solution. Unified Modelling Language (UML) is adopted to enable modelling and documenting the system analysis and design process and outcomes. A set of UML techniques is methodologically applied in a real-life scenario through which students develop innovative problem-solving skills.

Outline content:

  • ‘Systems thinking’ approach for systems analysis and design
  • Methodological process for analysing business needs and transforming these needs on to software system requirements
  • Unified Modelling Language (UML) theory and its techniques
  • System requirements elicitation and representations with UML notations
  • System solution in UML models
  • Iterative feedback capabilities for system requirements refinement and change

 

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20 [10 ECTS credits]

Aims:
This module aims at developing the understanding of business service design regarding service thinking concept and business performance management in the digital economy. This module will equip the student with the knowledge of business service innovation with a focus of organisational, business architecture and service system design and performance management in the new service context.   

Outline content: 

  • Service and service innovation concept, framework and approaches for business service deign
  • Organisational design and business model generation in the service context
  • Performance management for maintaining an organisation’s quality, e.g. concepts of performance metrics, and their alignment with corporate strategy, critical success factors, key performance indicators (KPIs)
  • Performance assessment methods and techniques, e.g. benchmarking, balanced score card, total quality management
  • Multi-sided metrics to assess business service performance  
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20 [10 ECTS credits]

Aims:

In this module, students learn how maps and models can help manage complexity. In ‘systems thinking’, students use causal loop diagrams (CLDs) to explain why organisations behave over time as they do and to develop policies that generate different behaviours. In ‘strategic modelling’ students work with simulation models and learn how they create understanding in management teams and support rigorous analysis of policy options.

Outline content:

  • Role of causal theory building in policy analysis
  • Icons and conventions of systems thinking using CLDs
  • Building CLDs to explain behaviour
  • Policy analysis using CLDs
  • Symbols and software for strategic modelling
  • Policy experimentation using simulations models
  • Managerial applications of strategic modelling
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20 [10 ECTS credits]

Enterprise Systems (i.e. ERP, CRM, SCM and KMS) are used to reinforce the efficiency and productivity of businesses, however implementation failure-rates remains high. This module helps students to understand the organisational and business impact of using Enterprise Systems, the potential role of Enterprise Systems in organisational transformation and change, and highlights the benefit and risk aspects involved in systems implementation.

Outline content

• Understand Enterprise System solutions;

• Appreciation of Enterprise Systems implementation methodologies;

• Understand business risk factors, and how such risks can be minimised;

• Appreciating the impact of Enterprise Systems on stakeholder relationships;

• Consider the business benefit of integrating business functions; • Understanding the business conflict involved in process reengineering and customisation.

    

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20 [10 ECTS credits]

The internet has created significant new opportunities for organisations to reach and build relationships with customers. At the same time, many firms struggle with making a successful transition from offline to online marketing. This module provides knowledge of the key tools required to implement a successful digital marketing strategy. This includes search engine marketing, social media and web analytics. 

  • Digital marketing in context
  • Search engine marketing
  • Web analytics
  • Mobile and email marketing
  • Optimising for search engines
  • Effective user experience
  • Consumer privacy and regulation
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20 [10 ECTS credits]

Aims:
Automated data collection tools and mature database technology lead to tremendous amounts of data stored in databases, data warehouses and other information repositories. Automated data analytics and mining techniques are becoming essential components to any information system. In the Knowledge Discovery process large data sets have to be cleaned, pre-processed, selected, merged, etc., and finally processed for the automatic extraction of interesting knowledge, such as descriptive and predictive models. The techniques span from statistics to machine learning and information science.

Outline content:

  • Introduction to the Knowledge Discovery process
  • Data selection, preprocessing and cleaning
  • Data mining algorithms (classification, clustering, etc.)
  • Workflow management systems (KNIME)
  • The R Project for Statistical Computing

 

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10 [5 ECTS credits]

Aims: 
The analysis of Big Data is not just the analysis of very large data sources, even though this is part of it. Typically data comprises four aspects, Volume, Velocity, Variety, and Veracity. This view on Big Data is commonly accepted. Volume refers to the actual size of the data, here computationally well scaling methods are needed; Velocity refers to the very fast generation of data, here data stream processing methods are needed for time critical applications; Variety refers to the different types of data, possibly unstructured data such as video streams, click streams or audio files; Veracity refers to the challenge of establishing the trust of decision makers in the Knowledge extracted from Big Data Analytics techniques. 

Outline content: 
• Introduction to Big Data Analytics principles and challenges.
• Data mining techniques and tools for Large Data Set Analysis, in particular parallel data mining techniques.
• Data mining algorithms and tools for the analysis of fast streaming real time data.
• Data mining techniques for building recommender systems.
• Date mining techniques and algorithms for unstructured data analysis.

SEE FULL DESCRIPTION

10 [5 ECTS credits]

Apply online

Fees and funding

Full Time Fees:

  Home (UK/EU) Overseas (non EU) 
2017 Entry £10,250 £17,000

Part time Fees:

Home (UK/EU) Overseas (non EU) 
£5,500 £9,075

The part-time fees quoted above are for the current academic year.  Fees for the second year of the programme will remain fixed at this rate if study is completed within the normal duration of the programme.  No fees are payable for the third year of registration on the programme. This only applies to part time students who commence the studies after 2015/16.

Please note that a non-refundable deposit is payable when confirming your acceptance of an offer of a place. This is part of your tuition fee and will be deducted from the total amount upon enrolment.

 

Home (UK/EU) Overseas (non EU) 
£5,500 £9,075

The part-time fees quoted above are for the current academic year.  Fees for the second year of the programme will remain fixed at this rate if study is completed within the normal duration of the programme.  No fees are payable for the third year of registration on the programme. This only applies to part time students who commence the studies in 2016/17.

Please note that a non-refundable deposit is payable when confirming your acceptance of an offer of a place. This is part of your tuition fee and will be deducted from the total amount upon enrolment.

UK/European Union Postgraduate Loans

Loans of up to £10,000 are available to eligible students studying for postgraduate masters courses from the 2016-2017 Academic year. In general, students need to be domiciled in England.  EU students, and individuals falling within certain specified categories, may also be eligible.

You can apply for a loan through the UK Government website.  You can read more about the scheme on the Student Loans Company website or on these two UK Government sites: Introduction of loans for postgraduate students and Government response to the Consultation on Support for Postgraduate Study.


The University provides opportunities to students from a wide range of backgrounds, who have the desire and ability to succeed. There are a range of scholarships and bursaries on offer for postgraduate students. For further information see: Money matters, costs and budgets for postgraduate students.

Subject

Subject

Criteria

JOIN THE TOP 1%.
£1M MASTERS SCHOLARSHIP FUND NOW OPEN.

  • Are you one of the brightest and best in the world of business?
  • Then simply apply for a Masters Fund Scholarship at the internationally-renowned Henley Business School.
  • Chance to study at a top 1% internationally-recognised business school
  • 100 Scholarships available – up to full value of a Master’s Programme
  • Our highest prize: the Prestigious Dean’s Scholarship: 100% fees paid Meet and dine with Henley’s senior management team.
Finance

Finance

Duration

Duration

Closing date

Closing date


Entry requirements

Academic requirements

You are expected to hold an upper second-class bachelors degree from a UK university, or an equivalent qualification from an internationally-recognised university.

Prior knowledge or experience of your chosen subject area is not required. We welcome applications from recent university graduates from a wide range of disciplines.

See country and region-specific information and entry requirements for International applicants or please contact us with any questions.

Not quite at the required level of English language proficiency for your chosen programme?

Applicants to Henley Business School, whose first language is not English, will be required to attain the International English Language Test Scores (IELTS), or equivalent acceptable qualification accepted by the University, as defined below, to enter a programme.

We require a minimum IELTS 6.5 score with no single element below 5.5.

Students completing the above mentioned pre-sessional courses would be allowed entry onto this programme with an overall score of 6.0.

Equivalent English Language Qualifications will also be accepted. If you require specific advice on your qualification please contact our admissions office directly either by e-mail at pgadmissions@reading.ac.uk or by telephone on +44 118 378 5289.

UK visa requirements

If you are not a national of the European Union (EU), it is likely that you will need to obtain a UK visa to live and study in the UK before you travel. See the UK Border Agency website. Contact the University's International Office with any questions: intoff@reading.ac.uk.

Apply online

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.

What our students say

Our students and alumni are always keen to share their Henley experience, whether you are a prospective applicant or you've already applied for a place on a Masters programme at Henley Business School. For a unique insight into every aspect of life in the School and on campus, you can contact any of our students and alumni below, via email, Skype or social media.

When contacting one of our students for the first time, please introduce yourself and the Masters programme you have applied for before you outline any questions you might have.


Alex Rollins, United Kingdom
MSc Information Management - Big Data in Business , 2017

Email: alexander.rollins@student.reading.ac.uk