FINN45615: Quantitative Methods

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• To provide students with essential knowledge and skills in quantitative analysis to pursue empirical research.

• Introduction to mathematics, statistics and data fundamentals
• Probability concepts and distributions
• Sampling and the Central Limit Theorem
• Point estimation, confidence intervals, and hypothesis testing
• Linear regression analysis and applications
• Other types of regression analysis

Subject-specific Knowledge:

• Have knowledge of both theoretical and practical elements of key principles and methods in quantitative analysis.

Subject-specific Skills:

• Ability to apply quantitative methods to data and interpret results
• Ability to conduct empirical research using knowledge acquired
• Ability to conduct quantitative analysis using appropriate software

Key Skills:

• Computer literacy (through using appropriate software)
• Interpersonal and written communication skills
• Problem-solving and analytical skills
• Planning, organising and time management skills (through meeting the multiple deadlines for formative and summative assignments of the module)

• The module is delivered through a combination of lectures and workshops to facilitate the balance of theory and practice.
• The students are assessed through summative and formative assignments. The formative assignment consists of an online quiz containing multiple-choice questions and true/false questions.

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