MA575 – Statistics & Quantitative Research
Master of Science in Human Resource Management and Organizational Behavior
Core Course
MA575 – Statistics & Quantitative Research
Course Unit Code: MA575
Type Of Unit: Core
Level of Course Unit: Second cycle
Year of Study: First/second year
Semester: On demand
Number of ECTS Credits: 6
Class Contact Hours: 28
Mode of Delivery
Face to Face
Prerequisites
None
Course Objectives
The objective of this course is to introduce the fundamental concepts and tools of statistics/data-analytics, provide the appropriate theoretical and practical skills necessary for collecting, analyzing and interpreting data for addressing a business problem in the real world.
Learning Outcomes
- Demonstrate understanding of the process of literature review and formulating appropriate research questions.
- Gather, analyze, interpret and synthesize data from various sources to make informed decisions and solve complex management problems.
- Select and apply appropriate research methods and tools to the study of a managerial case/problem.
Course Content
Course Features
Planned learning activities and teaching methods
Lectures, in-class discussions and debates; in-class exercises and labs; team work; exercises which demonstrate the usage of statistical tools; in-class presentations; individual and group assignments/projects
Assessment methods and criteria
10% Individual Class Participation
20% Group Assignment – Case study on analyzing data (30% of this will contribute towards individual assessment via the Intra-Team evaluation score method*)
70% Individual Final Examination
*For the group assignment, individual score will be given to each team member based on performance and contribution
Language of Instruction
English
Work placement(s)
Not applicable
Readings
Suggested Textbooks:
1. Field, A. (2009). Discovering Statistics using SPSS. London: SAGE Publications.
2. Illowsky, B. & Dean, S. (2012). Collaborative Statistics. Houston, Texas: Connexions, Rice University. Available for download under Creative Commons license at: http://cnx.org/content/col10522/latest/
Further Reading:
3. Anderson, R.D., Sweeney, J.D. & Williams, A.T., Camm, J.D., & Cochran, J. (2014). Essentials of Statistics for Business and Economics (7th ed.) Revised. South-Western: Cengage Learning.
4. Keller, G. (2012). Statistics for Management and Economics. South-Western: Cengage Learning.
5. Robson, C. (2011). Real World Research. Oxford: Blackwell.
English (UK) 
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