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Columbus, United States · Study online with LSBA

Algorithmic Trading

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Overview

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Learning outcomes

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Course content

1

Foundations Of Algorithmic Trading

2

Market Microstructure And Data

3

Strategy Development And Backtesting

4

Risk Management And Execution

5

Advanced Topics And Emerging Technologies

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm blown away by the Algorithmic Trading course at Stanmore School of Business! As a finance professional from the United States, I was looking to upskill and stay ahead of the curve. This course delivered big time. The content was incredibly relevant and helped me achieve my learning goals by providing a comprehensive understanding of trading strategies, risk management, and market analysis. I particularly appreciated the practical examples and case studies, which made the concepts more tangible and easier to apply in real-world scenarios. The quality of the course materials was top-notch, and I loved how the instructors used interactive tools and visual aids to explain complex concepts. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone interested in algorithmic trading.

LH
Leila Hassan
EG · Course completed

I took the Algorithmic Trading course at Stanmore School of Business with a bit of skepticism, but I was pleasantly surprised by the quality of the content and the instructors' expertise. As someone from Egypt, I was looking for a course that would provide me with a solid foundation in trading and help me navigate the local markets. The course materials were well-structured and easy to follow, and I appreciated the focus on practical skills and real-world applications. One of the most valuable takeaways for me was the understanding of how to backtest and evaluate trading strategies, which has been a game-changer for my own trading endeavors. While there were some areas where I felt the course could be improved, overall I'm happy with my learning experience and would recommend it to others looking to get started with algorithmic trading.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Algorithmic Trading course at Stanmore School of Business was an absolute revelation for me! As a Japanese trader with a background in computer science, I was looking for a course that would help me bridge the gap between my technical skills and financial knowledge. This course exceeded my expectations in every way. The instructors were knowledgeable and passionate, and the course materials were incredibly comprehensive and well-researched. I loved how the course covered not just the basics of trading but also delved into advanced topics like machine learning and natural language processing. The practical assignments and projects were also super helpful in reinforcing my understanding of the concepts. I feel like I've gained a whole new level of expertise and confidence in my trading abilities, and I couldn't be more grateful to the Stanmore School of Business team!

RS
Rafaela Silva
BR · Course completed

I recently completed the Algorithmic Trading course at Stanmore School of Business, and I must say it was a great experience. As a Brazilian finance student, I was looking for a course that would provide me with a solid understanding of trading principles and practices. The course content was well-organized and easy to follow, and I appreciated the emphasis on risk management and trading psychology. One of the things that stood out to me was the quality of the instructors, who were always available to answer questions and provide feedback. The course materials were also very comprehensive, with lots of examples and case studies to illustrate key concepts. While I did find some of the topics to be a bit challenging, overall I'm happy with my learning experience and feel like I've gained a good foundation in algorithmic trading. I would definitely recommend this course to others looking to learn about trading and finance.





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Recently updated!

May 2026