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    Overview

    A range of statistical tools from basic descriptive statistics to the more advanced methods available to support business analysis and decision making.

    Fundamentals of the research process, and the statistical analysis and modelling of data, based on real-world business and management situations. BMBA 504 will equip students with tools that will help them to make better, data-based, decisions.

    About this paper

    Paper title Statistics and Decision Tools
    Subject Business Administration
    EFTS 0.125
    Points 15 points
    Teaching period Not offered in 2023 (Distance learning)
    Domestic Tuition Fees ( NZD ) $2,355.75
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Restriction
    CMBA 504
    Limited to
    PGDipBusAdmin, MBA, PGDipHealMgt, MHealSc, PGCertEM, PGDipEM, PGDipFBLM, MFBLM
    Eligibility
    Enrolments for this paper require departmental permission. View more information about departmental permission.
    Contact

    mba.manager@otago.ac.nz

    Teaching staff

    Convenor: mba.manager@otago.ac.nz

    Textbooks

    Textbooks are not required for this paper.

    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Lifelong learning, Communication, Critical thinking, Ethics, Information literacy, Research, Self-motivation, Teamwork.
    View more information about Otago's graduate attributes.
    Learning Outcomes
    Students will develop a robust understanding of:
    • Corporate governance
    • Time value of money
    • Markowitz diversification
    • Capital asset pricing model (CAPM)
    • Net present value vs. internal rate of return (NPV vs. IRR)
    • Weighted average cost of capital
    • Gordon dividend discount model
    • Agency Costs
    • Real Options
    • Financial Planning
    • Risk management

    Timetable

    Not offered in 2023

    Location
    Dunedin
    Teaching method
    This paper is taught through Distance Learning
    Learning management system
    Blackboard

    Overview

    A range of statistical tools from basic descriptive statistics to the more advanced methods available to support business analysis and decision making.

    Fundamentals of the research process, and the statistical analysis and modelling of data, based on real-world business and management situations. BMBA 504 will equip students with tools that will help them to make better, data-based, decisions.

    About this paper

    Paper title Statistics and Decision Tools
    Subject Business Administration
    EFTS 0.125
    Points 15 points
    Teaching period Not offered in 2024 (Distance learning)
    Domestic Tuition Fees Tuition Fees for 2024 have not yet been set
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Restriction
    CMBA 504
    Limited to
    PGDipBusAdmin, MBA, PGDipHealMgt, MHealSc, PGCertEM, PGDipEM, PGDipFBLM, MFBLM
    Eligibility
    Enrolments for this paper require departmental permission. View more information about departmental permission.
    Contact

    mba.manager@otago.ac.nz

    Teaching staff

    Convenor: mba.manager@otago.ac.nz

    Textbooks

    Textbooks are not required for this paper.

    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Lifelong learning, Communication, Critical thinking, Ethics, Information literacy, Research, Self-motivation, Teamwork.
    View more information about Otago's graduate attributes.
    Learning Outcomes
    Students will develop a robust understanding of:
    • Corporate governance
    • Time value of money
    • Markowitz diversification
    • Capital asset pricing model (CAPM)
    • Net present value vs. internal rate of return (NPV vs. IRR)
    • Weighted average cost of capital
    • Gordon dividend discount model
    • Agency Costs
    • Real Options
    • Financial Planning
    • Risk management

    Timetable

    Not offered in 2024

    Location
    Dunedin
    Teaching method
    This paper is taught through Distance Learning
    Learning management system
    Blackboard
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