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University of Exeter Business School

Operations Analytics

Module titleOperations Analytics
Module codeBEM3062
Academic year2023/4
Module staff

Dr Stuart So (Lecturer)

Duration: Term123
Duration: Weeks




Number students taking module (anticipated)


Module description

This module focuses on analytics from an operations management perspective. Operations Management covers the design, optimisation and management of products, processes, services and supply chains. It uses analytics to make decisions regarding product and service quality and cost, and as well as decisions regarding acquisition, development, and utilization of resources. You will learn about the value of analytics when applied to different types of data such as: machine data, sensor data, and other forms of data generated by operational systems.

Module aims - intentions of the module

The module aims to impart knowledge and skills in optimisation and decision-making algorithms where students can apply to a variety of fields, including business, education, and research. Graduates of this module would be equipped to frame and analyse decisions through an optimisation framework, leading to employment as technical staff members in business or industry, government planners, and private consultants.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. identify and apply appropriate analytics methods and tools to a range of business situations;
  • 2. demonstrate knowledge and understanding of fundamental, and domain-specific, analytics methods and tools;
  • 3. create, manage, interrogate, interpret and visualise data from a wide range of different sources, types and including structured and unstructured forms.

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 4. critically analyse the use of data within a business context, identifying strengths and limitations.

ILO: Personal and key skills

On successfully completing the module you will be able to...

    Syllabus plan

    The module showcases analytical techniques and tools to problems involving the operations of a system, which includes:

    • Formulating operational and business problems as linear programs
    • Apply solution methods of linear optimisation in operational problems
    • Solving supply and demand issues through the assignment problem
    • Apply network algorithms to solve a broad variety of operational problem
    • Apply decision making algorithms under uncertainty

    Learning activities and teaching methods (given in hours of study time)

    Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

    Details of learning activities and teaching methods

    CategoryHours of study timeDescription
    Scheduled Learning and Teaching Activity30Lectures, workshops and labs
    Guided Independent Study50Preparatory reading prior to workshops and lectures
    Guided Independent Study70Practice use of software and concepts from additional exercises and examples

    Formative assessment

    Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
    Review of individual performance on group exercisesDuring workshops / tutorialsn/aVerbal
    Outline plan for assessed reportOne pagen/aWritten/Verbal

    Summative assessment (% of credit)

    CourseworkWritten examsPractical exams

    Details of summative assessment

    Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
    Practical (take-home) coursework exercise302 hours duration 1-4Written comments
    Individual report703,000 words1-4Written comments

    Details of re-assessment (where required by referral or deferral)

    Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
    Practical (take-home) coursework exercisePractical (take-home) coursework exercise (30%)1-4August/September Reassessment Period
    Individual reportIndividual report (70%)1-4August/September Reassessment Period

    Re-assessment notes

    Re-assessment will be in nature to the original assessment, but the topic, data, and materials must be new.

    Indicative learning resources - Basic reading

    The following resources may be useful throughout the course:

    • Winston (2004). Operations research: Applications and algorithms. Belmont, CA: Thomson/Brooks/Cole.
    • Bertsimas, D., Allison, K. O. & Pulleyblank, W. R. (2016). The analytics edge. Dynamic Ideas LLC.

    Official page for R:

    • Download page:

    Indicative learning resources - Web based and electronic resources

    Some helpful websites:


    Key words search

    Operations Research, R, Optimization, Analytics

    Credit value15
    Module ECTS


    Module pre-requisites

    BEM1024 OR BEE1022 OR BEE1025 OR BEA1012



    Module co-requisites


    NQF level (module)


    Available as distance learning?


    Origin date


    Last revision date