Oxford Algorithmic Trading Programme


Course starts 25 July 2018

Course information

Registration Closes:
17 July 2018
Course Starts:
25 July 2018
6 weeks, excluding orientation
8 - 10 hours per week, entirely online
GBP £2,300Payment Options
University of Oxford
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Algorithmic trading has been around since the 1970s, but the rise of machine learning and artificial intelligence has accelerated its advance substantially. This allows trading algorithms to find market efficiencies and recognise profitable patterns on their own accord, which allows for the performance of these algorithms to often exceed those of professional traders and financial advisors. Trading occurs at an immense pace, making it impossible for a human trader to stay on top of everything.

Successful algorithmic trading will lead to the breaking up of a large order into multiple smaller pieces, the spreads being traded on to be narrowed, the possibility of providing liquidity, and the benefit of you focussing more of your time on issues where human intelligence and judgement add the most value.

Algorithmic trading strategies differ to manual trading where you will be susceptible to human emotion. The algorithmic trading system removes human emotion and irrational decisions from the market. Using algorithmic trading strategies ultimately leads to lower transaction costs because of the saved opportunity cost of constantly having to monitor the markets.

Download course prospectus

What will set you apart

After successfully completing this highly interactive and supported online learning journey, you’ll walk away with:

  • The ability to illustrate the methodologies used to model trading strategies for different types of financial markets
  • An understanding of the fundamentals of classical and behavioural finance and how theoretical trading models are applied in practice
  • The ability to formulate a view on the relationship between emerging technologies and the future of systematic trading
  • The opportunity to assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance
  • An understanding of the historical and current state of systematic trading as well as the key challenges and opportunities faced by the industry

Course curriculum

Hear from industry leaders and global experts as you follow your learning path 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 methods for trading system design
  • Module 4: Building an algorithmic trading model
  • Module 5: Evaluation criteria for systematic models and funds
  • Module 6: Future trends in algorithmic trading

This Oxford Algorithmic Trading Programme is delivered in collaboration with GetSmarter and is lead by a powerful team of global experts who share their knowledge in the form of industry insights, videos and discussions. You’ll receive algorithmic trading insights from the Programme Convenor, who who guide the design of the programme content and share their knowledge throughout and Guest Experts, who share their industry-specific applications and provide insight into the future trends in the algorithmic trading system and the technologies used to facilitate its growth.

Your Programme Convenor

The design of this online programme is guided by prominent industry thought-leaders who will share their experience and in-depth subject knowledge with you throughout the programme.


Prof Nir Vulkan

Professor Nir Vulkan

Associate Professor of Business Economics, Oxford Saïd Business School
Professor Nir Vulkan serves as a Fellow of Worcester College at the University of Oxford. He is a leading authority on e-commerce and market design, and on applied research and teaching on hedge funds. He is the author of one of the leading texts on the microeconomics of e-commerce, The Economics of E-Commerce: A Strategic Guide to Understanding and Designing the Online Marketplace, which analyses online trading mechanisms and the way in which web-based technologies, such as bidding elves, smart agents and shopping bots, influence the behaviour of consumers and retailers. His expertise lie in: crowdfunding, e-commerce, market design, entrepreneurship, hedge funds and fintech. Nir has been a lecturer at Saïd Business School since 2001. He was the Director of the Oxford Centre for Entrepreneurship and Innovation (OxCEI) and the co-founder and Director of OxLab, a laboratory for social science experiments, both at Saїd Business School.

Earn a certificate of attendance from Oxford Saïd

Receive algorithmic trading certification in the form of a certificate of attendance from Saïd Business School, University of Oxford as recognition of the industry-leading competencies you’ve developed and algorithmic trading strategies you’ve received over the course of this algorithmic trading programme, and use it to set yourself apart as a future-minded strategic business innovator.

Your certificate of attendance will be issued in your legal name and couriered to you, at no additional cost, upon successful completion of the programme, as per the stipulated requirements. All certificate of attendance images are for illustrative purposes only and may be subject to change at the discretion of the University.


When do I start?

Our next available short course starts 25 July 2018.

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 a Course Consultant 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 a Course Consultant 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 Manager 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 Manager, you can use the Online Campus to get in touch.