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CMBA573 Advanced Topics in Strategy 3

Explores and evaluates applications of machine learning and artificial intelligence within business contexts and how these may be utilised to inform business strategy.

Paper title Advanced Topics in Strategy 3
Paper code CMBA573
Subject Business Administration
EFTS 0.0833
Points 10 points
Teaching period 1st Non standard period (10 August 2022 - 6 November 2022) (Distance learning)
Domestic Tuition Fees (NZD) $1,527.89
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Limited to
MBA
Eligibility
Enrolments for this paper require departmental permission. View more information about departmental permission.
Contact

mba.manager@otago.ac.nz

Teaching staff

Convener: 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, Cultural understanding, Ethics, Information literacy, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete this paper will

  • Demonstrate an in-depth understanding of the scope and application of the theories and content of the specific topics being studied
  • Demonstrate independent critical evaluation of data and formation of evidence-based opinions within the specific topic being studied
  • Show an advanced ability to logically analyse international and contemporary issues within the broad field of business and its management
  • Work in a self-directed manner to form independent decisions and judgements in the acquisition and development of business knowledge
  • Apply specific skills (including digital-based) in acquiring, organising, analysing, evaluating and presenting information business and its management

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Timetable

1st Non standard period (10 August 2022 - 6 November 2022)

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

Explores and evaluates applications of machine learning and artificial intelligence within business contexts and how these may be utilised to inform business strategy.

Paper title Advanced Topics in Strategy 3
Paper code CMBA573
Subject Business Administration
EFTS 0.0833
Points 10 points
Teaching period 1st Non standard period (5 June 2023 - 1 October 2023) (Distance learning)
Domestic Tuition Fees (NZD) $1,569.87
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Limited to
MBA
Eligibility
Enrolments for this paper require departmental permission. View more information about departmental permission.
Contact

mba.manager@otago.ac.nz

Teaching staff

Convener: 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, Cultural understanding, Ethics, Information literacy, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete this paper will

  • Demonstrate an in-depth understanding of the scope and application of the theories and content of the specific topics being studied
  • Demonstrate independent critical evaluation of data and formation of evidence-based opinions within the specific topic being studied
  • Show an advanced ability to logically analyse international and contemporary issues within the broad field of business and its management
  • Work in a self-directed manner to form independent decisions and judgements in the acquisition and development of business knowledge
  • Apply specific skills (including digital-based) in acquiring, organising, analysing, evaluating and presenting information business and its management

^ Top of page

Timetable

1st Non standard period (5 June 2023 - 1 October 2023)

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