Programme Content
Programme 1: Oxford Artificial Intelligence Programme
Orientation module
Welcome to your online campus
Applications to join the programme will be accepted until the end of the orientation module.
Module 1
Artificial intelligence ecosystem
Explore the history and potential of AI within the context of the digital ecosystem.
Module 2
AI and machine learning: understanding the black box
Delve into the mechanics of the three main types of machine learning: supervised, reinforcement and unsupervised learning.
Module 3
Deep learning and neural networks
Understand what deep learning is and how it is powering the modern approach to AI.
Module 4
Working with intelligent machines
Explore the concept of intelligence in machines and the impact of AI in the labour market.
Module 5
Ethics of AI
Explore the hierarchy of ethical and legal considerations around artificial intelligence.
Module 6
How to drive AI in your business
Identify the potential business opportunity of AI in a specific context.
Programme 2: Oxford Algorithmic Trading Programme
Orientation module
Welcome to your online campus
Applications to join the programme will be accepted until the end of the orientation module.
Module 1
Introduction to classic and behavioural finance theory
Review the fundamentals of classical and behavioural finance, and how theoretical trading models are applied.
Module 2
Systematic trading and the state of the investment industry
Interpret the historical and current state of systematic trading as well as the key challenges and opportunities faced by the industry.
Module 3
Technical analysis and methods for trading system design
Illustrate the processes used to model automated trading systems for different types of financial markets.
Build a simple time series momentum model in Python and evaluate the performance of a long-only strategy using the Sharpe, Sortino and Calmar ratios.
Module 4
Building an algorithmic trading model
Assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance.
Module 5
Evaluation criteria for systematic models and funds
Assess whether a trading model or fund is worth investing in based on key evaluation criteria.
In modules 4 and 5, you will build a simple volatility-scaled time series momentum model, weight signals using different timescales and use more sophisticated methods.
Module 6
Future trends in algorithmic trading
Formulate a view on the relationship between emerging technologies and the future of systematic trading.
