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INFO501 Applied Project

An investigation of a business problem (real or simulated), backed by appropriate applied and academic literature.

Paper title Applied Project
Paper code INFO501
Subject Information Science
EFTS 0.3333
Points 40 points
Teaching period 1st Non standard period (1 January 2017 - 31 December 2017)
Domestic Tuition Fees (NZD) $2,513.08
International Tuition Fees (NZD) $10,298.97

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Limited to
Limited to: MBusDataSc
Contact
business@otago.ac.nz
Teaching staff
To be advised
Textbooks
Textbooks are not required for this paper.
Graduate Attributes Emphasised
Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Cultural understanding, Ethics, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
  • Plan and conduct an independent (applied) project that will be relevant and useful to the chosen business context
  • Apply critical thinking skills and interdisciplinary approaches to an in-depth analysis of the chosen business problem
  • Demonstrate problem-solving abilities in a multicultural global business environment
  • Work independently to produce a report with a high level of communication skills (verbal and written)

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Timetable

1st Non standard period (1 January 2017 - 31 December 2017)

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
L1 Thursday 10:00-10:50 9-15, 17-22, 28-34, 36-41

An investigation of a business problem (real or simulated), backed by appropriate applied and academic literature.

This paper is designed in conjunction with the Master of Business Data Science and allows the student to independently develop and extend their skills in Data Science and Data Analytics. This may involve solving some data modelling concepts with an external agency or within a setting directed by an academic staff member.

Paper title Applied Project
Paper code INFO501
Subject Information Science
EFTS 0.3333
Points 40 points
Teaching period 1st Non standard period (1 March 2018 - 28 February 2019)
Domestic Tuition Fees Tuition Fees for 2018 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Limited to
Limited to: MBusDataSc
Contact
business@otago.ac.nz
Teaching staff
Dr Peter A. Whigham
Textbooks
"An Introduction to Statistical Learning", by G.James, D. Witten, T. Hastie & R. Tibshirani. This is available online through the Otago Library.
Graduate Attributes Emphasised
Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Cultural understanding, Ethics, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
  • Plan and conduct an independent (applied) project that will be relevant and useful to the chosen business context
  • Apply critical thinking skills and interdisciplinary approaches to an in-depth analysis of the chosen business problem
  • Demonstrate problem-solving abilities in a multicultural global business environment
  • Work independently to produce a report with a high level of communication skills (verbal and written)
  • ^ Top of page

    Timetable

    1st Non standard period (1 March 2018 - 28 February 2019)

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Blackboard

    Lecture

    Stream Days Times Weeks
    Attend
    L1 Thursday 10:00-10:50 9-13, 15-22, 28-34, 36-41