Overview
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 utilising some data modelling concepts with an external agency or within a setting directed by an academic staff member.
About this paper
| Paper title | Applied Project |
|---|---|
| Subject | Information Science |
| EFTS | 0.3333 |
| Points | 40 points |
| Teaching period(s) | 1st Non standard period (27 February 2023 - 22 February 2024)
(On campus)
1st Non standard period (27 February 2023 - 22 February 2024) (Distance learning) |
| Domestic Tuition Fees ( NZD ) | $2,817.72 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Limited to
- MBusDataSc
- Contact
- Teaching staff
- 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 used as references will be 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)
Timetable
Overview
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 utilising some data modelling concepts with an external agency or within a setting directed by an academic staff member.
About this paper
| Paper title | Applied Project |
|---|---|
| Subject | Information Science |
| EFTS | 0.3333 |
| Points | 40 points |
| Teaching period(s) | 1st Non standard period (26 February 2024 - 14 February 2025)
(Distance learning)
1st Non standard period (26 February 2024 - 14 February 2025) (On campus) 2nd Non standard period (15 July 2024 - 4 July 2025) (Distance learning) 2nd Non standard period (15 July 2024 - 4 July 2025) (On campus) |
| 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. |
- Limited to
- MBusDataSc
- Contact
- Teaching staff
- 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 used as references will be 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)