Postgraduate Course: Quantitative Research Methods (CMSE11561)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Quantitative Research Methods aims to introduce students to research idea generation, ethics, and basic quantitative methods in business area for their dissertation. It helps students choosing dissertation topic, questions and facilitates all necessary quantitative methods that are required for that major piece of independent research as well as their future work in business area. |
| Course description |
The course provides students with an understanding of the research process and a thorough introduction to quantitative (as well as basics of qualitative) research method. The course equips students with the skills and knowledge necessary to prepare for a significant research project using quantitative research methods.
Outline Content
What is Research?
Basics of Quantitative Research
Basic of Qualitative Research
Research Ethics and Integrity
Data Collection, organisation and representation
Data sampling, confidence interval
Hypothesis testing
Analysing two variables, simple linear regression
Analysing multiple variables multi-variate regression (with SPSS lab)
Advanced methods, logistic regression and decision tree (with SPSS lab)
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2025/26, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Seminar/Tutorial Hours 1,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
175 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
50% coursework (individual) - assesses course Learning Outcomes 1, 2, 3
50% coursework (individual) - assesses course Learning Outcomes 4, 5 |
| Feedback |
Formative: Feedback will be provided throughout the course.
Summative: Feedback will be provided on the assessments within agreed deadlines.
|
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify the role of quantitative method in the discipline of business
- Understand the differences between quantitative and qualitative research methods. Plan and conduct different methods of data collection and understand research ethics requirements
- Plan and conduct different methods of data collection and understand research ethics requirements
- Analyse different forms of quantitative data
- Understand and be able to use different quantitative methods for data analysis
|
Reading List
Statistics for economics, accounting, and business studies
Author: Barrow, Michael
ISBN: 9781292118703
Edition: Seventh edition.
Publication Date: 2017
Publisher: Pearson Education |
Additional Information
| Graduate Attributes and Skills |
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
Practice: Applied Knowledge, Skills and Understanding
After completing this course, students should be able to:
Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address social, economic and environmental global challenges.
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| Keywords | Not entered |
Contacts
| Course organiser | Dr Antonia Gieschen
Tel:
Email: |
Course secretary | Ms Connie Wong
Tel:
Email: |
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