Diploma
Financial Analytics
This course is designed to develop the analytical capabilities required by modern marketers to navigate data-rich environments, and extract meaningful insights that influence business decisions. This course uses real world scenarios, reflective practice, and practical activities, to evaluate problems, develop recommendations and professional skills.
Code
BSMS3203
Credits
4 Credits
Type
Diploma
Prerequisites
None
12-Week Roadmap
Course Structure & Syllabus
For details of standard term assessment timelines and exam structures, visit our Academics page.
WEEK 1
Overview of financial analytics, basic statistical concepts in finance, role of AI and ML in financial analytics
WEEK 2
FinTech in banking and finance, digital disruption in financial markets, innovation and transformation in fintech, understanding the fin system, techfin, digital banking
WEEK 3
Financial data analysis and visualization, data cleaning and pre-processing, exploratory data analysis, data visualisation techniques
WEEK 4
Visualizing stock price trends using historical data, gamified exercises using leader boards and points for data analysis tasks
Reading List
Prescribed Books & References
- Ruey S. Tsay (2012), “An Introduction to Analysis of Financial Data with R” , Wiley
- Argimiro Arratia (2014), “Computational Finance An Introductory Course with R”, Atlantis Press
- Bernhard Pfaff (2013),“Financial risk modelling and portfolio optimization with R”, Wiley, Duffie
- Singleton, K.J (2003), “Credit Risk: Pricing, Measurement, and Management”, Princeton University Press