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Aims:

The aim of this module is to teach about the modern digital financial landscape. The module starts off with a foundation in finance and the most common financial products. Applications of emerging technologies such as AI and blockchain in finance are also covered. This is a practical module where the theoretical material taught is applied in programming workshops.

Intended learning outcomes:

On successful completion of the module, a student will be able to:

1. Understand the foundations of finance, including the time value of money, payments, corporate finance and portfolio theory.
2. Understand the core financial products including stocks, bonds, derivatives, credit, options and insurance.
3. Understand ways to apply emerging technologies such as AI and blockchain combined with new business models to financial services.
4. Use python for financial modelling.

Indicative content:

The following is indicative of the topics the module will typically cover:

This module seeks to provide a foundational knowledge of finance, financial products and technology applied to financial services. This is a hands-on module where students apply Python programming practically in all aspects of the taught material in this course. Starting off with basic finance knowledge, we move on to understand the main products in the financial services domain including equity, bonds, derivatives and options. We will also discuss credit, efficient market hypothesis, sentiment analysis, and portfolio theory. In addition, the module covers how new emerging technologies and new business models are advancing financial products and services.

Requisites:

To be eligible to select this module as an optional or elective, a student must: (1)Ìýbe registered on a programme and year of study for which it is formally available; (2)Ìýhave a basic understanding of programming; and (3) be confident with fundamental financial mathematics, including but not limited to probability theory and statistics.