Oxford Algorithmic Trading Programme

Course starts 29 July 2020

Course information

Registration Closes:
21 July 2020
Course Starts:
29 July 2020
6 weeks, excluding orientation
8–10 hours per week, self-paced learning online
GBP £2,300
Payment Options
Said Business School, University of Oxford


While algorithmic trading has been around for a long time, the rise of machine learning and artificial intelligence (AI) has substantially accelerated its advance. This allows trading algorithms to find market efficiencies and better recognise profitable patterns of their own accord, making trades at a very high frequency. The performance of these algorithms, therefore, often exceeds those of professional traders and financial advisors.

This online programme from Oxford Saïd aims to equip you with a comprehensive understanding of the rules that drive successful algorithmic trading strategies and hedge funds, as well as a grounded introduction to financial theory and behavioural finance. Over the course of six weeks, you’ll learn four principles established by Programme Director Nir Vulkan, to guide you through the process of evaluating an algorithmic trading model. You’ll also discover what biases are present in the market and how these behavioural traits create exploitable patterns. On completion, you’ll have the ability to assess whether a trading model or fund is worth investing in.

Download course prospectus

What will set you apart

On completion of this programme, you’ll walk away with:

  • The ability to assess the efficacy of an algorithmic trading model within a real-world market environment
  • The skills required to develop and implement your own algorithmic trading strategies using the four key rules laid out in this programme
  • Insight into how automation, AI, machine learning, and emerging technologies will impact the future of systematic trading
  • Guidance from leading industry experts and Oxford Saïd faculty, and access to the official Oxford Executive Education Alumni group on LinkedIn

Is this programme for you?

This programme is beneficial to working professionals in the trading and investment space, or those not currently familiar with the algorithmic trading platform. It will be of value to anyone interested in hearing from industry leaders and top academics on the key issues facing algorithmic systematic traders, as well as the predicted future of financial trading. Private and part-time traders who wish to improve their trading abilities and experiment with algorithmic trading models will also benefit from the programme. This is non-technical programme and does not require the ability to code.

Course curriculum

Gain the ability to effectively harness the rules that drive algorithmic trading strategies, as you work through the weekly modules of this online programme.

  • Orientation Module Welcome to your Online Campus
  • Module 1 Introduction to classic and behavioural finance theory
  • Module 2 Systematic trading and the state of the investment industry
  • Module 3 Technical analysis and the methodology of trading system design
  • Module 4 Working with an algorithmic trading model
  • Module 5 Evaluation criteria for systematic models and funds
  • Module 6 Future trends in algorithmic trading

Your Programme Director

The design of this online programme is guided by Saïd Business School, University of Oxford faculty, as well as industry experts, who will share their experience and in-depth knowledge with you throughout the programme.


Prof Nir Vulkan

Professor Nir Vulkan

Associate Professor of Business Economics, Oxford Saïd Business School

Professor Nir Vulkan is a leading authority on e-commerce and market design, and on applied research and teaching on hedge funds. He is the author of two books and over 40 articles in international journals in all aspects of technology, economics and finance. He is also a systematic trader with over 17 years of experience working with some of the world’s leading hedge funds. He often consults trading firms and clearing firms on algorithmic trading and has helped set up a number of firms in this area.

He has been at Saïd Business School, University of Oxford since 2002 and served as the director of the Oxford Entrepreneurship Centre for five years during his time at the business school. He is also co-convenor of the Oxford Fintech Programme and the Oxford Blockchain Strategy Programme.

Guest Experts

You’ll also hear from a number of renowned industry professionals and global experts throughout the course of the programme, who will share their insights and opinions through video interviews and lectures.
Matthew Sargaison


Co-Chief Executive Officer of Man AHL

Martin Lueck


Co-founder of Aspect Capital

Giovanni Daprà


Co-founder and CEO of MoneyFarm

Susi Gorbey


Director of Quantitative Strategies Oversight at Tudor Capital Europe LLP


Ewan Kirk


CEO and Co-founder of Cantab Capital Partners

Stefan Zohren


Associate Professor at Oxford-Man Institute of Quantitative Finance at the University of Oxford, former Quantitative Strategist at leading high-frequency-trading firms

Anthony Ledford


Chief Scientist at Man AHL

Stephen Roberts


Director of the Oxford-Man Institute of Quantitative Finance
RAEng/Man Professor of Machine Learning at the University of Oxford

Hans-Jörg von Mettenheim


Chair of Quantitative Finance and Risk Management at IPAG Business School

Terri Duhon


Non-Executive Director of Morgan Stanley
Public Speaker
Finance and Risk Expert

Daryl Cook


Managing Director and Portfolio Manager, Systems Group at Tudor Investment Corporation

Earn a certificate of attendance from Oxford Saïd

Gain a comprehensive understanding of algorithmic trading strategies and earn an official certificate of attendance from Oxford Saïd.

Your certificate will be issued in your legal name and sent to you upon successful completion of the programme, as per the stipulated requirements.


When do I start?

Our next available short course starts 29 July 2020.

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Still have a question? These may help


    You can either pay your tuition fees in full before the course starts, or you may opt for a two-part payment plan for courses nine weeks and shorter. For courses ten weeks or longer, there is a three-part payment plan available. To find out more on payment options please visit our Payment and Financing page.

    If you want to find out more about any of these options or you want to know which you qualify for please get in contact with an Enrolment Advisor here.


    When paying for your programme, you can choose to pay the full amount, prior to programme start, or you can opt for a two-part payment plan option when you register.

    The two-part payment option requires one payment up front, followed by a second payment during your programme. 

    If you want to find out more about payment options or the programme itself, please get in contact with an Enrolment Advisor here.


    GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.

    At the beginning of each week you'll be presented with all the lectures, notes and assignments necessary for completion. You also have access to your Success Advisor who will help you set goals and track key milestones, manage your time, and field any administrative requests you might have.


    By improving your skills and industry knowledge, you'll be having an influence on the success of your organisation.

    Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?

    37% of our past students receive financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to receive financial assistance from your employer.


    The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats, including: interactive video lectures, module notes, practice quizzes, Prezis, assignment briefs, and additional web resources.

    On the Online Campus, you'll also be able to ask questions and interact with your fellow students and Head Tutor through the Online Campus discussion forums. If you're experiencing tech issues or need advice from your personal Success Advisor, you can use the Online Campus to get in touch.