Frequently Asked Questions

Who can apply for OxML school?


  • Everyone is welcome to apply for our machine learning summer schools regardless of their origin, nationality, and country of residence.
  • Our primary target audience are (1) PhD students with good technical background whose research topics are related to ML, plus (2) researchers and engineers in both academia and industry with similar/advanced levels of technical knowledge.
  • All applicants are subject to a selection process; we aim to select strongly motivated participants, who are interested in broadening their knowledge of the advanced topics in the field of ML/DL and their applications.




What information do I need to complete the application form?


You need to fill the online application form and submit your resume.




Can I still apply for the school after the applocation deadline date?


Applications will no longer be accepted after the set deadline. We encourage you to apply to next year’s Summer School.




What is the registration fee and what does it cover?


There is no application fee, however, successful participants will need to pay a registration fee. More information about the registration process including the application and fee will be announced in the coming weeks. The registration fee for participants attending the in-person event in Oxford, UK, would cover access to all the lectures, refreshments, lunch, and networking events during the event. All participants regardless of the type of event they are attending (in-person or online), will have access to our community portal containing the lecture notes and lecture recordings for a periof of time after the event.




My application was unsuccessful this year. Why have I not been accepted?


We want to ensure an engaging and diverse audience. Our diverse global participants are selected using a ranking system that favours applicants who are graduate students, whose research areas are closer to the scope of the school, and would benefit more from the offered courses.




Do you issue a certificate of completion?


Yes, participants will receive an electronic certificate of attendance at the end of the school including the subjects covered during OxML school and number of hours of lectures, workshops, unconference sessions, etc. This information can be used by each university to calculate the corresponding number of ECTS credits. Note: Certificates of attendance issued for the OxML /FinML participants are generated by AI for Global Goals and not endorsed by any other organisations or Universities. CIFAR and Oxford University's Deep Medicine are the collaborators/partners in running this year's school, i.e., they contribute with their expertise in areas such as designing the program, contributing speakers, and so on.




COVID-19 Update


The news of COVID-19 pandemic has been devastating to follow — like you, we are also closely following the latest developments on this matter. Of course, our top priority will be the health and safety of the participants, and compliance with public health guidelines. Therefore, this section will be updated regularly closer to the date of the OxML 2022 and FinML 2022 to inform our international participants of the latest travel/gathering rules and travel requirements for the UK.




I've attended the previous editions of the school (OxML 2020, OxML 2021). Can I apply again?


Yes, you can still attend OxML schools this year if your application is successful. Attending the previous editions of our ML schools will not influence your chance of being accepted this year.




Can the organisers waive the registration fee?


All successful applicatns are required to pay the registration fee in order to reduce the level of attrition, however, those employed by/studying in organisations that are based in LMIC (i.e., any country outside the list shown as "high income" in this map), will be entitled to a discount on the registration fee for the online format of the school.




Are OxML summer schools organised by the University of Oxford?


No. OxML schools are organised by AI for Global Goals (an independent company).
Note that, CIFAR and Oxford University's Deep Medicine Program are the collaborators/partners in running this year's school, i.e., they contribute with their expertise in areas such as designing the program, contributing speakers, and so on.




What is the cancellation policy?


If, for any reason, you have to cancel your registration 30 days or more prior to the start of the school, you can be refunded up to 50% of the registration fee.

If you cancel you registration less than 30 days prior to the start of the event, then you might not be entitled to receive any refunds.




Can I apply for both OxML and FinML schools this summer?


If you believe you will benefit from attending both courses, then you are welcome to complete the registration forms for the schools.




Is there any travel grants/scholarships available? Who is eligible to apply for this grant?


There are a limited number of grants/scholarships available for full-time students who would like to attend the school in-person. You can apply for a travel grant by giving a short justification for your request when submitting your application. The funding will vary on a case-by-case basis and will cover a portion of the costs of attending the school (accommodation/travel). Note: All of the successfull participants from low-middle income countries (LMIC*) who will be offered a place to attend the school online, will be offered a discount on their registration fee. *LMIC= any country outside the list shown as "high income" in this map)




Do I need a visa to attend the summer school?


Depending on your nationality, you might need a visa to travel to the UK. This would be a short-stay, single or multiple entry visa. Please check this page to see if you need a UK visa. If you get accepted to the school and you need a visa, contact us at contact@globalgoals.ai and we will send you an invitation letter.