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BDBA906 Research Methodology II

The practice of undertaking research from selecting a methodology through primary data collection and using secondary data, including statistics and big-data analysis.

The practical aspects of undertaking research including how to collect and analysis data.

Paper title Research Methodology II
Paper code BDBA906
Subject Doctor of Business Administration
EFTS 0.1667
Points 20 points
Teaching period(s) 1st Non standard period (24 October 2022 - 17 December 2022) (Distance learning)
1st Non standard period (24 October 2022 - 17 December 2022) (On campus)
2nd Non standard period (14 March 2022 - 6 May 2022) (Distance learning)
2nd Non standard period (14 March 2022 - 6 May 2022) (On campus)
Domestic Tuition Fees (NZD) $1,403.61
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Limited to
DBA
Notes
This paper includes a compulsory on-campus component.
Contact
otago-dba@otago.ac.nz
Teaching staff
To be confirmed
Paper Structure
Topics:
  • Research Strategies
  • Data Collection
  • Data Analysis
Teaching Arrangements
Taught through seminars and online through Blackboard
Textbooks
Readings will be made available through Blackboard.
Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Critical thinking, Ethics, Research, Communication, Information literacy.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete the paper will gain

  1. A highly developed ability to design and conduct a piece of research adopting an appropriate methodological approach, develop a hypothesis, design a tool to generate appropriate data and analyse the data using the most appropriate method
  2. A highly developed ability to present ideas logically and persuasively to a wide audience using both written and oral means

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Timetable

1st Non standard period (24 October 2022 - 17 December 2022)

Location
Dunedin
Teaching method
This paper is taught through Distance Learning
Learning management system
Blackboard

Block Teaching

Stream Days Times Weeks
Attend
A1 Tuesday 09:00-16:50 50
Wednesday 09:00-16:50 50
Thursday 09:00-16:50 50
Friday 09:00-16:50 50

1st Non standard period (24 October 2022 - 17 December 2022)

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

Block Teaching

Stream Days Times Weeks
Attend
A1 Tuesday 09:00-16:50 50
Wednesday 09:00-16:50 50
Thursday 09:00-16:50 50
Friday 09:00-16:50 50

2nd Non standard period (14 March 2022 - 6 May 2022)

Location
Dunedin
Teaching method
This paper is taught through Distance Learning
Learning management system
Blackboard

2nd Non standard period (14 March 2022 - 6 May 2022)

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

Block Teaching

Stream Days Times Weeks
Attend
A1 Wednesday 09:00-16:50 18
Thursday 09:00-16:50 18
Friday 09:00-16:50 18

The practice of undertaking research from selecting a methodology through primary data collection and using secondary data, including statistics and big-data analysis.

The practical aspects of undertaking research including how to collect and analysis data.

Paper title Research Methodology II
Paper code BDBA906
Subject Doctor of Business Administration
EFTS 0.1667
Points 20 points
Teaching period(s) 1st Non standard period (23 October 2023 - 16 December 2023) (On campus)
1st Non standard period (23 October 2023 - 16 December 2023) (Distance learning)
2nd Non standard period (13 March 2023 - 6 May 2023) (On campus)
2nd Non standard period (13 March 2023 - 6 May 2023) (Distance learning)
Domestic Tuition Fees Tuition Fees for 2023 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Limited to
DBA
Notes
This paper includes a compulsory on-campus component.
Contact
otago-dba@otago.ac.nz
Teaching staff

To be confirmed.

Paper Structure

Topics:

  • Research Strategies
  • Data Collection
  • Data Analysis
Teaching Arrangements

The Distance Learning offering of this paper is a combination of remote and in-person teaching.

Taught through seminars and online through Blackboard.

Textbooks
Readings will be made available through Blackboard.
Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Critical thinking, Ethics, Research, Communication, Information literacy.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete the paper will gain:

  • A highly developed ability to design and conduct a piece of research adopting an appropriate methodological approach, develop a hypothesis, design a tool to generate appropriate data and analyse the data using the most appropriate method.
  • A highly developed ability to present ideas logically and persuasively to a wide audience using both written and oral means.

^ Top of page

Timetable

1st Non standard period (23 October 2023 - 16 December 2023)

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

Block Teaching

Stream Days Times Weeks
Attend
A1 Wednesday 09:00-16:50 50
Thursday 09:00-16:50 50
Friday 09:00-16:50 50
Saturday 09:00-16:50 50

1st Non standard period (23 October 2023 - 16 December 2023)

Location
Dunedin
Teaching method
This paper is taught through Distance Learning
Learning management system
Blackboard

Block Teaching

Stream Days Times Weeks
Attend
A1 Wednesday 09:00-16:50 50
Thursday 09:00-16:50 50
Friday 09:00-16:50 50
Saturday 09:00-16:50 50

2nd Non standard period (13 March 2023 - 6 May 2023)

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

Block Teaching

Stream Days Times Weeks
Attend
A1 Wednesday 09:00-16:50 18
Thursday 09:00-16:50 18
Friday 09:00-16:50 18
Saturday 09:00-16:50 18

2nd Non standard period (13 March 2023 - 6 May 2023)

Location
Dunedin
Teaching method
This paper is taught through Distance Learning
Learning management system
Blackboard

Block Teaching

Stream Days Times Weeks
Attend
A1 Wednesday 09:00-16:50 18
Thursday 09:00-16:50 18
Friday 09:00-16:50 18
Saturday 09:00-16:50 18