Quantitative Techniques for Business and Finance
MODULE CODE
CREDIT VALUE
DELIVERY
Module Aims
Aim 1
The module aims to equip students with a comprehensive understanding of the essential quantitative methods and tools employed in the fields of business and finance. Through a combination of theoretical learning and practical applications, this module aims to empower students with the analytical skills and numerical proficiency necessary for making informed and strategic decisions in a dynamic business and financial environment. Therefore, this module aims to create a bridge between theoretical knowledge and practical application, ensuring that students are well-equipped to navigate the quantitative aspects of their studies and contribute effectively to data-driven processes within their educational and professional careers.
Module Content
• Data Presentation
• Data Collection
• Data Types
• The use of statistics
• Population and Sample
• Descriptive Statistics: Numerical Measures (measures of central tendency, variation and shape)
• Probability
• Expected values
• Random variables
• Correlation
• Independent and Dependent Variables
• Covariance
• Normal Distribution
• Hypothesis Testing
• Insignificant Results – P Value
• Comparing Two Populations
• Test of Means
• An overview of regression analysis
• Ordinary Least Squares
• Learning to use regression analysis
Learning Outcomes
On successful completion of this module, a student will be able to:
Teaching Methods
The module is delivered by means of a weekly 1hr lecture and a 1hr seminar/workshop. In this way, students are introduced to theory, which they will then have to study and assimilate on their own time until next week’s practical workshop/seminar, where they will be offered discursive and/or computational exercises which will invite them to demonstrate an ability to practice the theory they got introduced to over the previous week.
Students are expected to engage with pre-set discursive and computational exercises prior to each workshop. Lecture slides, lecture notes and seminar questions/exercises are available to the students on Blackboard. Students are required to develop an understanding of the topic area by studying the lecture notes prior to attempting and practicing the questions in the workshop. The module is structured to facilitate student-centred learning.
As part of this module, students will draw on and enhance graduate attributes of planning, communication, literacy and analysis which will aid their employability in the financial management sector.
Assessment Methods
Written Exam (30%) and Written Exam (70%)
View The Other Course’s Modules
Compulsory
