Oxford Artificial Intelligence in Trading Series
Start date:
Duration:
- 12 weeks
Time commitment:
- Short programme
Location:
- Online
Cost:
- £3,651
About the series
Gain insights into algorithmic trading techniques, tactics, strategies, hedge funds and financial theory, and examine artificial intelligence (AI) history and ethical considerations for informed decision making.
The Oxford Artificial Intelligence in Trading Series is an interdisciplinary learning path that leverages the tools and insights of two programmes to equip you with an in-depth understanding of the potential of AI in financial trading. Develop a comprehensive grasp of the principles steering successful algorithmic trading strategies and hedge funds, while also gaining insights into financial theory and behavioural finance fundamentals.
Upon completion of this series, you will possess the confidence to make well-informed decisions regarding AI and machine learning applications, and the expertise to evaluate the viability of investing in a trading model or fund.
Programmes in this series
Receive a 15% discount on the two programmes.
- Oxford Artificial Intelligence Programme: over six weeks, examine diverse insights and perspectives on AI’s ethical, legal and social considerations to critically appraise its uses and limitations within your context.
- Oxford Algorithmic Trading Programme: over six weeks, explore a practical set of principles to help you build and evaluate an algorithmic trading model. Additionally, get to grips with market biases and learn to evaluate the investment potential of a fund.
Designed to provide you with maximum flexibility, this series will allow you to tailor your learning experience to suit your unique schedule and preferences. You'll have the freedom to select your preferred start date for each programme, enabling you to seamlessly integrate your learning commitments into your existing personal and professional obligations. You'll also have the exclusive opportunity to network with a dynamic network of like-minded peers and expert faculty.
Curriculum
The two online programmes are broken down into manageable, weekly modules designed to accelerate your learning process through diverse activities. Over the duration of this series, you’ll work through the following modules.
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.
It is one of the best programmes I’ve ever attended. I would call it an action-packed thriller technology course... It is like parallel processing computers, where we get so much knowledge and so many ideas from fellow students.
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.
The course was a turning point in my career. Using what I’d learned from the content... I opened my own investment firm... I recommend you take the course and open your eyes to the future of investments.
About the certificates
Upon successful completion of each programme you’ll receive a certificate of attendance.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with your digital certificate, you will need to meet the requirements outlined in the programme handbook. Each handbook will be made available to you as soon as you begin that programme.
Contact
For a more in-depth conversation about our online programmes and the series offered, speak to the team: