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MSCI224: Techniques for Management Decision Making


Department: Management Science NCF Level: FHEQ/QCF/NQF5//RQF5
Study Level: Part II (any yr) Credit Points: 15.0
Start Date: 15-01-2018 End Date: 27-04-2018
Available for Online Enrolment?: Y Enrolment Restriction: Fully available to all students
Module Convenor: Dr B Boyaci

CMod description

  • Techniques based on mathematics and statistics can be extremely powerful tools in helping to solve organisational problems and are widely used in practice. This module explains the business situations in which such techniques apply, and shows how to use the techniques and interpret the results to make better business decisions.

    Five such techniques will be covered:

    • Forecasting
    • Simulation
    • Decision analysis
    • Network analysis
    • Linear programming

     This module runs in weeks 11-20.

Curriculum Design: Outline Syllabus

  • Contact Time: 18 lecture hours and 10 seminars

    Five quantitative techniques will be introduced on the course:  Forecasting, Simulation, Decision Analysis, Network Analysis, Linear Programming. These techniques are part of the scientific discipline known as Management Science / Operational Research and are widely used in practice. Emphasis is put not only on how to apply a technique, but also on when (and when not) to apply it. The course is taught by a mixture of lectures and small group tutorials. It is compulsory to attend the seminars and attendance will be recorded each week.

    Seminars

    Seminars will take place in weeks 12-21. You should be automatically assigned to one if you join the module at the May enrolment period. Otherwise, you will need to sign up online through your Student Portal or contact the MSCI UG Coordinator.

Curriculum Design: Pre-requisites/Co-requisites/Exclusions

  • The course is available to students who have taken MSCI 100 or 101, or MNGT130 (previously MSCI110)  or equivalent. It cannot be taken by students who have taken MSCI 103 or 104.
  • 70% Exam
  • 30% Coursework

Educational Aims: General: Knowledge, Understanding and Skills

  • Techniques based on mathematics and statistics can be extremely powerful tools in helping to solve organisational problems. This module consists of five such techniques. The course will explain the business situations in which the techniques apply, and will show how to use the techniques and interpret the results to make better business decisions. The course is particularly relevant for careers in general management, accountancy, consultancy, and business analysis.

Learning Outcomes: Subject Specific: Knowledge, Understanding and Skills

  •  

    Subject Specific Learning Outcomes

    When you have completed this course you should be able to: 

        * Apply the five techniques to particular cases

        * Understand when to apply each technique

        * Understand the benefits and limitations of the techniques

Contact Information

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