Overview
Investigation of a problem at a critical and analytical level, 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. Each student will be supervised by an academic and may develop a research topic with an external business.
About this paper
| Paper title | Research 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) 3rd Non standard period (15 July 2024 - 4 July 2025) (On campus) |
| Domestic Tuition Fees ( NZD ) | $2,896.71 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Limited to
- MBusDataSc
- Contact
- Teaching staff
Co-ordinator: Associate Professor 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.
- 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, Ethics, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes. - Learning Outcomes
- During this paper, students will:
- Plan and conduct an independent research project that will be relevant to the chosen academic discipline (research)
- Apply critical thinking skills and (potentially) interdisciplinary approaches to the chosen discipline and research topic (critical thinking)
- Demonstrate the ability to work independently (self-motivation)
- Be able to write a research report with a high level of communication skills (verbal and written) (critical thinking, communication)
Timetable
Overview
Investigation of a problem at a critical and analytical level, 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. Each student will be supervised by an academic and may develop a research topic with an external business.
About this paper
| Paper title | Research Project |
|---|---|
| Subject | Information Science |
| EFTS | 0.3333 |
| Points | 40 points |
| Teaching period(s) | 1st Non standard period (24 February 2025 - 13 February 2026)
(Distance learning)
1st Non standard period (24 February 2025 - 13 February 2026) (On campus) 2nd Non standard period (14 July 2025 - 3 July 2026) (Distance learning) 3rd Non standard period (14 July 2025 - 3 July 2026) (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2025 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Limited to
- MBusDataSc
- Contact
- Teaching staff
Co-ordinator: Associate Professor 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.
The paper can also be started mid-July, concluding early July the next year.- 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, Ethics, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes. - Learning Outcomes
- During this paper, students will:
- Plan and conduct an independent research project that will be relevant to the chosen academic discipline (research)
- Apply critical thinking skills and (potentially) interdisciplinary approaches to the chosen discipline and research topic (critical thinking)
- Demonstrate the ability to work independently (self-motivation)
- Be able to write a research report with a high level of communication skills (verbal and written) (critical thinking, communication)