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INFO501 Applied Project

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 (24 February 2020 - 19 February 2021)
Domestic Tuition Fees (NZD) $2,667.07
International Tuition Fees (NZD) $11,583.84

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Limited to

Teaching staff

Assoc. Prof. Jeremiah Deng

Paper Structure

The paper runs from the beginning of first semester, with the final thesis submission in mid-February of the next calendar year.  The course will provide an introduction to writing a thesis, present a range of possible research topics, and support the students throughout the year to complete a solid technical and academic research project.

"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)
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    1st Non standard period (24 February 2020 - 19 February 2021)

    Teaching method
    This paper is taught On Campus
    Learning management system


    Stream Days Times Weeks
    A1 Thursday 10:00-10:50 9-12, 18-22
    B1 Thursday 10:00-10:50 28-34, 36-41