Business Analytics MSc

Course Content

• Course Details

  By completing this course for business analytics, learners will improve their employability skills by gaining the expertise required to analyse data, improve decision-making, enhance critical thinking and help companies gain a competitive advantage.

  Moreover, the master in business analytics programme enables learners to enhance their knowledge of core themes such as business intelligence, information systems theories and some of the related techniques, information systems strategy, digital innovation, and fundamentals of project management.

  Furthermore, learners will be able to gain the necessary research skills as part of the final dissertation module – Business Research Project – to pursue further studies at doctoral level, if they choose to do so.

  Enhanced Learning Credits Scheme

  MSc Business Analytics is part of the Enhanced Learning Credits Scheme (ELCS). The ELCS is an opportunity for members of the Armed Forces to further or expand on their education. The scheme offers support financially in a maximum of three separate financial years for higher level learning of a nationally recognised qualification at a Level three or above.

  List of modules

  Please note the modules shown here relate to the academic year 23/24. The modules relating to the academic year 24/25 will be available from June 2024.

  • Stage 1
    • Fundamentals of Project Management (20 Credits)
      Module code: BSOM071

      Status: Designate
      Fast moving dynamic development within organisations means that having a basic `toolkit? of modern and de facto project management techniques, with an emphasis on applying these is a vital requirement for project management students. This module develops students? understanding of theoretical practices, practical tools and techniques, and equips them to face the challenges facing project managers today.
    • Applied Systems Analysis (20 Credits)
      Module code: BSOM080

      Status: Compulsory
      The purpose of this module is to provide an overview of approaches in business and systems analysis. A range of systems analysis appraoches are covered, with an emphasis on Systems Thinking and Business/System Dynamics.
    • Leadership and Digital Transformation
      Module code: BSOM093

      Status: Compulsory
    • Data Science in Practice
      Module code: BSOM094

      Status: Compulsory
    • Emerging Technologies (20 Credits)
      Module code: BSOM095

      Status: Compulsory
      Emerging technologies are changing the way companies innovate and create value. It can also assist organisations in scaling on demand, improving resiliency, minimising infrastructure investments, and deploying solutions quickly and securely. Within this module, students will explore the impacts of Emerging Technologies on businesses and related ideas and practices.
    • Forecasting and Decision Science
      Module code: BSOM096

      Status: Compulsory
    • Hacking for MOD
      Module code: BSOM097

      Status: Designate
    • Contemporary Research
      Module code: BSOM098

      Status: Designate
    • Consultancy Project
      Module code: BSOM099

      Status: Compulsory

  Applied Systems Analysis

  The purpose of this module is to provide an overview of approaches in business and systems analysis. One of the key approaches covered in details is the notion of Systems Thinking, and Business/System Dynamics. Other systems analysis approaches are also discussed.

  Business Intelligence

  The reliance of businesses on application and data driven intelligence has increased tremendously in the past decade and has become an inseparable part of any company. The module explores the underlying concepts in business intelligence, analytics, and decision sciences.

  Information Systems Methods

  This module in the business analytics masters provides a holistic overview of methods used in assessment, analysis, design and implementation of information systems. You will be able to gain a thorough understanding of business needs in this context and explore the topics associated with different IS methods and also the selection, evaluation and comparison of appropriate methodologies and tools.

  Strategic Management of IS

  You will have the capability to co-ordinate and carry out activities and processes relevant for the creation of IS strategies with a view to provide superior performance. These strategies are then justified against several competing alternatives.

  Fundamentals of Project Management

  Fast moving dynamic development within organisations means that having a basic ‘toolkit’ of modern and de facto project management techniques, with an emphasis on applying these is a vital requirement for project management students. This module gives you an excellent grounding in theoretical practices, practical tools and techniques and equips you to face the challenges facing project managers today.

  Digital Twins and Internet of Things

  Digital Twin technologies are revolutionary phenomena for developing an exact digital or cyber replica of a physical asset or a system. Within this module, you will investigate Digital Twin (DT) as an emerging technology, Internet of Things (IoT) as an enabler and other related theories and practices.

  Business Research Project

  This module in this business analytics course provides a supportive environment for you to develop your academic and individual research capabilities.  You will develop skills in completing a general investigative research project and the field led workshops will expand the specific discipline. This will culminate in the masters project/dissertation.

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• Entry Requirements

  This course for business analytics will be useful if you are a professional employed in business and/or technology sectors and wish to progress in your job by gaining a more specialist qualification.

  If you hold a recognised first-or second-class honours degree (or equivalent) in Business, Management, Information Systems, or Information Technology-related courses you will be eligible to apply for this business analytics course. Graduates of the following Engineering disciplines are particularly suited to this programme and would be considered:

  • Aerospace
  • Civil
  • Electrical/Electronic
  • Mechanical
  • Robotics
  • General Engineering
  • Manufacturing
  • Industrial Engineering
  • Structural Engineering
  • Agricultural/Environmental

  Biomedical, Chemical and other Engineering disciplines may be considered after being referred to the tutor.

  The master in business analytics may also be very attractive to many international applicants.

  English Language Requirements

  All International and EU students applying for a course with us must meet the following minimum English language requirements:

  • Minimum standard – IELTS 6.5 (or equivalent)
    for study at postgraduate level.

  For information regarding English language requirements at the University, please see our IELTS page.

  If you would like information on making an application, please see our How to Apply page.

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• Fees and Funding

  2023/24 Tuition Fees

  Fees quoted for this business analytics course relate to study in the Academic Year 23/24 only and may be subject to inflationary increases in future years.

  • UK: £8,010
  • International: £16,500

  2022/23 Tuition Fees

  Fees quoted relate to study in the Academic Year 22/23 only and may be subject to inflationary increases in future years.

  • UK: £7,650
  • International: £15,000

  Additional costs

  There are no additional costs for this master in business analytics for students beginning their studies in September 2023. Should this change, applicants and students will be contacted by the university with details of the costs.

  For more information about possible funding options, please visit our Fees and Funding pages.

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• FAQs

  What is the schedule for this business analytics course?

  Full Time Study: This master in business analytics is only available for full-time study. The course duration will be one year, split into three semesters.

  September start

  AUT (Trimester A)

  • BSOM061 – Information Systems Methods
  • BSOM080 – Applied Systems Analysis
  • BSOM058 – Strategic Management of IS

  SPR (Trimester B)

  • BSOM071 – Fundamentals of Project Management
  • BSOM079 – Business Intelligence
  • BSOM078 – Digital Twins and IoT

  Summer/SPR (Trimester C)

  • BSOM077 – Business Research Project

  January start

  SPR

  • BSOM071 – Fundamentals of Project Management
  • BSOM079 – Business Intelligence
  • BSOM078 – Digital Twins and IoT

  AUT

  • BSOM061 – Information Systems Methods
  • BSOM080 – Applied Systems Analysis
  • BSOM058 – Strategic Management of IS

  Summer/AUT

  • BSOM077 – Business Research Project

  How will I be assessed?

  The assessment methods used within the business analytics masters programme varies from a module to another. The main assessment methods used within the programme are Assignment (Report, Critical reflection/Journal, etc.), Essay, Presentation (Oral or Poster).

  However, some modules may expect to take tests, exams or hands-on activity. Students on the MSc programme will have to submit a dissertation as part of their Business Research Project Module.

  What is the award for this course?

  To be eligible for the award of MSc Business Analytics, you must successfully complete 120 credit modules and the 60-credit Dissertation.

  To be eligible for the award of PG Dip Business Analytics, you must successfully complete 120 credit modules.

  To be eligible for the award of PG Cert Business Analytics, you must complete the following three 20-credit modules: Applied Systems Analysis, Strategic Management of IS and Information System Methods.

  Are there any special features on this course?

  Some of the master in business analytics modules will offer external academic and industrial guest lectures. This will enable you to become familiar with the emerging technologies, research works and industrial trends in the wider environment.

  There will also be the opportunity to participate in external visits open to all our postgraduate taught students.

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