Question 1

What is OxML?

Accepted Answer

OxML (Oxford Machine Learning School) is an intensive summer program that brings together world-leading researchers and practitioners to teach advanced machine learning concepts. Since 2020, we've trained over 1000 participants from 120+ countries in cutting-edge AI and ML techniques.

Question 2

Who should apply?

Accepted Answer

OxML is designed for graduate students, researchers, and professionals with a strong foundation in mathematics, statistics, and programming. Ideal candidates have experience with machine learning basics and want to deepen their expertise in specialized areas like healthcare AI, representation learning, or applied ML.

Question 3

What are the prerequisites?

Accepted Answer

Applicants should have: (1) Strong mathematical background (linear algebra, calculus, probability), (2) Programming experience in Python, (3) Familiarity with basic ML concepts (supervised/unsupervised learning, neural networks), (4) Experience with ML frameworks like PyTorch or TensorFlow is beneficial but not required.

Question 4

How long is the program?

Accepted Answer

The program runs for 12 intensive days during the summer. Each day includes lectures, hands-on workshops, and collaborative projects. Participants should expect to dedicate full-time hours (8-10 hours per day) to get the most out of the experience.

Question 5

What is the registration process?

Accepted Answer

Registrations are now open! You may register through the OxML registration page.

Working professionals with prior ML experience may register directly.

Students are kindly asked to include a reference person (such as a professor or supervisor) during registration to help verify eligibility and ensure they have sufficient ML background to benefit from the programme.

Question 6

What is the cost and are scholarships available?

Accepted Answer

The program fee covers tuition, materials, and access to all sessions. We offer need-based scholarships and diversity fellowships to ensure accessibility. Financial aid applications are reviewed separately and decisions are made based on merit and demonstrated need.  You may access the scholarship form here https://forms.gle/nwjj2yNPvaBJAu9w8 Early application is encouraged for scholarship consideration.

Question 7

Is the program in-person or online?

Accepted Answer

OxML 2026 will be held online and in-person at Oxford University. We believe the collaborative, immersive environment is essential for deep learning and networking.  All lectures are recorded for participants' future reference and will be available for a limited time after the live sessions.

Question 8

What tracks are available?

Accepted Answer

OxML 2026 offers three specialized tracks: (1) MLx Cases - Real-world applications across industries, (2) MLx Health & Bio - AI for healthcare and biomedical sciences, (3) MLx Representation Learning & Gen AI - Foundation models and generative systems. You'll choose your track during the application process.

Question 9

Will I receive a certificate?

Accepted Answer

Yes! Upon successful completion of the programme, participants receive an official electronic certificate from AI for Global Goals (organiser of OxML). The certificate includes your track specialisation and a summary of the subjects covered during OxML. Universities may use this information to determine and award the corresponding number of ECTS credits.

Question 10

What accommodation options are available?

Accepted Answer

All participants are responsible for securing their own accommodations in Oxford during OxML Summer School. If you are looking for an accommodation close to the Oxford Mathematical Institute, there are a number of options available:

You can visit the Conference Oxford website (https://conference-oxford.com/bb-self-catering) which offers a range of B&B options at the University.

Alternatively, there are a number of hotels located close to the Oxford Mathematical Institute that you can book through various online booking platforms.

We recommend booking your accommodation as early as possible to secure your preferred option, as Oxford is a popular destination for tourists and students alike.

Question 11

What is the cancellation policy

Accepted Answer

Full Refund Deadline:

You can get a full refund if you cancel before 1 May 2026 less any applicable bank transfer fees.

Standard Cancellations:

For cancellations made 30 days or more before the event: 70% of the registration fee will be refunded

For cancellations made less than 30 days before the event: No refund will be issued

Switching to Online Attendance:

You may convert your in-person registration to online attendance.

If switched 30 days or more before the event: Registration fee will be refunded minus a 10% cancellation fee

If switched less than 30 days before the event: 10% refund will be issued

Visa-Related Changes:

You may be eligible for a partial refund and switch to virtual attendance if:

1. You applied for your visa promptly after:

Receiving your acceptance notification, or

Purchasing your ticket (whichever came first)

2. Your visa was denied or delayed

3. You submit your refund request at least one week before the event with:

Proof of visa denial

Documentation of your visa application date

Question 12

Will speakers in hybrid courses always be in person?

Accepted Answer

We ask speakers to attend in person when possible. For some topics, a speaker may join online—for example if they are uniquely suited to the agenda, or if their circumstances change and they can no longer attend in person.

Question 13

Is there a chance that some speakers will change?

Accepted Answer

Yes. Speakers are booked months in advance, so jobs, personal life, health, or travel plans can change. If that happens, we either arrange for them to present remotely or find a replacement—ideally a colleague or someone in a similar field.

Question 14

Will all content be technical/theoretical?

Accepted Answer

The school is primarily technical—meaning almost all speakers will present highly technical concepts. In other words, you should expect many slides with equations and technical jargon. However, at times speakers may decide not to get into the details of some of their work and hence have slides that are more results and conclusions. We cannot determine a priori what % of slides are technical—with equations—but we are sure of our speakers’ ability to engage in deeply technical topics, and most of the speakers in a module present deeply technical concepts.

FAQ

What is OxML?

Who should apply?

What are the prerequisites?

How long is the program?

What is the registration process?

What is the cost and are scholarships available?

Is the program in-person or online?

What tracks are available?

Will I receive a certificate?

What accommodation options are available?

What is the cancellation policy

Will speakers in hybrid courses always be in person?

Is there a chance that some speakers will change?

Will all content be technical/theoretical?

Get in touch

FAQ

What is OxML?

Who should apply?

What are the prerequisites?

How long is the program?

What is the registration process?

What is the cost and are scholarships available?

Is the program in-person or online?

What tracks are available?

Will I receive a certificate?

What accommodation options are available?

What is the cancellation policy

Will speakers in hybrid courses always be in person?

Is there a chance that some speakers will change?

Will all content be technical/theoretical?

Get in touch