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INFO501 Applied Project

Due to COVID-19 restrictions, a selection of on-campus papers will be made available via distance and online learning for eligible students.
Find out which papers are available and how to apply on our COVID-19 website

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
MBusDataSc
Contact

jeremiah.deng@otago.ac.nz

Teaching staff

Assoc. Prof. Jeremiah Deng jeremiah.deng@otago.ac.nz

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.

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)
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    Timetable

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

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

    Lecture

    Stream Days Times Weeks
    Attend
    A1 Thursday 10:00-10:50 9-12, 18-22
    AND
    B1 Thursday 10:00-10:50 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 2021 - 25 February 2022)
    Domestic Tuition Fees Tuition Fees for 2021 have not yet been set
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.

    ^ Top of page

    Limited to
    MBusDataSc
    Contact

    jeremiah.deng@otago.ac.nz

    Teaching staff

    Assoc. Prof. Jeremiah Deng jeremiah.deng@otago.ac.nz

    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.

    Textbooks

    There is no set textbook; however a number of texts and articles will used as references made available via the course portal

    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 2021 - 25 February 2022)

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

    Lecture

    Stream Days Times Weeks
    Attend
    A1 Thursday 10:00-10:50 9-13, 15-22
    AND
    B1 Thursday 10:00-10:50 28-34, 36-41