Q: What is the Imperial Summer School on Machine Learning, Applied Statistics, and Quantitative Finance?
A: This is a cutting-edge summer school taught by world-leading academics from Imperial's Department of Mathematics. The programme consists of three standalone one-week modules designed to equip students with quantitative methods in mathematics, statistics, and computing to tackle real-world challenges.
Q: What modules are offered in Summer 2026?
A: We offer three independent modules:
Module 1: Introduction to Modern Machine Learning (22-26 June 2026)
Module 2: Machine Learning and Statistics for Time Series Analysis (29 June - 3 July 2026)
Module 3: Systematic Trading (6-10 July 2026)
Q: Can I take more than one module?
A: Yes! The three modules are independent and standalone. You can take one, two, or all three modules depending on your interests and learning goals.
Q: What does each module include?
A: Each one-week module consists of approximately 15 hours of lectures, workshops, tutorials, and project work. Students attend on the South Kensington Campus from Monday morning through Friday afternoon.
Q: What is the typical cohort size?
A: Cohort sizes have varied over the years and are typically in the range of 20-60 students per module.
Q: Who is eligible to apply?
A: All students must have completed at least one year of undergraduate studies in quantitative fields such as Mathematics, Statistics, Computing, Physics, or Engineering.
Q: Do I need programming experience?
A: No, prior programming experience is not required. You will be taught the relevant skills during each module.
Q: What are the English language requirements?
A: If English is not your first language, you should meet one of the following requirements:
IELTS (Academic Test): 6.5 overall (with no less than 6.0 in any element)
TOEFL (iBT): 92 overall (minimum 20 in all elements)
CET-4 (China): minimum score of 550
CET-6 (China): minimum score of 520
Please contact us if you have alternative documentation of your English language skills, and we will be happy to advise.
Q: What software/equipment do I need?
A: You will need to bring your own laptop with R or Python preinstalled (depending on the module). We will advise participants prior to arrival on specific requirements and run drop-in clinics on the first day of each module to help with technical issues.
Q: How much does the programme cost?
A: The early-bird registration fee is £999 per one-week module if paid by 1st April 2026. From 2nd April 2026 onwards, the registration fee is £1199 per module.
Q: What does the fee include?
A: The fee covers tuition (lectures, workshops, tutorials, and project work) only. Accommodation, meals, and travel are not included.
Q: Are there any bursaries or scholarships available?
A: Unfortunately, we do not currently offer bursaries or financial aid for the programme.
Q: When is the early-bird deadline?
A: The early-bird registration fee of £999 per module applies to payments made by 1st April 2026.
Q: How do I register for a module (several modules) in the summer school?
A: Please apply for admission to the summer school programme first. As soon as you have received an offer of admission, we will share the payment link with you. Your registration is complete when the payment has been received.
Q: Does the programme carry academic credit?
A: The programme is non-credit and does not carry ECTS or transferable academic credits awarded by Imperial. However, some students have previously arranged credit with their home universities independently. We can provide information on the number of lectures and problem classes to help you negotiate with your institution if needed.
Q: Will I receive a certificate?
A: Yes, we will issue a confirmation of attendance for each module you complete.
Q: Is accommodation included in the fee?
A: No, accommodation is not included. Participants are responsible for arranging their own accommodation during the programme.
Q: How do I apply?
A: We operate a rolling admissions system on a first-come, first-served basis. To apply, please provide:
A one-page motivational letter which includes which module(s) you are applying for.
A CV
A document demonstrating that you are currently enrolled in or have completed an undergraduate programme in a quantitative subject. This could be your transcript or a letter/email from your current institution confirming your enrolment.
Evidence of your English language proficiency
Q: Where can I apply?
A: Visit our Apply now! page to submit your application.
Q: Can you provide documentation for visa applications?
A: Yes, we are happy to issue an acceptance letter to support your visa application once you have registered.
Q: Who can I contact with further questions?
A: Please email us and we'll be happy to help.