Courses

We offer courses

that teach skills and techniques for computational sciences and research in Neuroscience, Climate Science, and Artificial Intelligence and Machine Learning.
Our courses are inclusive, intensive 2- or 3- week synchronous, virtual academies in which you are matched into a pod with ~15 other students.
The day is broken up into curriculum time and projects time. You are expected to be on Zoom and engaging with your pod during both curriculum and projects time. During curriculum time, your pod’s assigned teaching assistant will support you in going through our interactive course materials. After a midway break, you will work on your group research project. You will receive additional support from your pod’s teaching assistant, a project-specific teaching assistant who’s knowledgeable about your dataset, and a project mentor.

How Does It Work?

Our courses are inclusive, intensive 2- or 3- week synchronous, virtual academies in which you are matched into a pod with ~15 other students.

The day is broken up into curriculum time and projects time. You are expected to be on Zoom and engaging with your pod during both curriculum and projects time. 

 

Course Benefits
Our courses place an emphasis on learning, collaboration, and applied knowledge through research experiences. You’ll get to work closely with a group of peers with similar research interests, receive live mentorship and guidance, do a novel research project, and receive educational materials from amazing scientists around the world. Our courses are intense and provide an introduction to many topics in the field with the opportunity to dive in deeper based on your interests.
Course Structure
Students work in small learning groups, or pods, made up of 10-15 students and a dedicated teaching assistant. These pods are formed on time slot, common research interests, and language preference using our custom matching algorithm. Each day, students spend approximately 4.5 hours on curriculum and 3 hours on research projects.
Coursework
Composed of mini-modules, each with a short video introducing the concept, narrative explanation, and interactive coding tutorials in Python. All in an interactive Python notebook so that you can execute code in-line while you learn with your peers. Your assigned teaching assistant is with your pod for all of curriculum time.
Research Projects
Apply the techniques you are learning to real research projects matching your interests. Your pod is split into two project groups. You then work with the support of your pod’s teaching assistant, a project teaching assistant, and a mentor to formulate research questions and explore available open science datasets. Students can opt out of the project portion of the course if they are feeling overwhelmed. They will still receive the Course Certificate, but without the Projects badge. All TAs and all students who receive a Course Certificate and a Project badge will be eligible to apply for the Impact Scholars Program after the course is over. This program allows teams to continue conducting academic research with the support of a mentor.

Timing

Courses are delivered in five timeslots around the world to align with global time zones.

These intensive programs are offered in July to align with major summer breaks from most education programs. Courses will generally be full-time commitments for 2- or 3- weeks.

Students are not allowed to take the course overnight, so make sure to pick an appropriate daytime time slot when completing your application.

Use the timezone widget to help select your slot

Topics and Subjects

Courses Course link Prerequisites Next course dates
Computational Neuroscience

The curriculum integrates cutting-edge advances in machine learning and causality research with state-of-the-art modeling approaches in neuroscience.

 See course details See prerequisites here.  TBD July 2027
Deep Learning

Our Deep Learning (DL) course grew out of the realization that there is a real need for teaching an ethically responsible hands-on TA-guided code-first DL curriculum that emphasizes how DL can be used to advance science and achieve better scientific insights.

 See course details See prerequisites here. TBD July 2027
NeuroAI

What are common principles of natural and artificial intelligence?
The core challenge of intelligence is generalization. Neuroscience, cognitive science, and AI are all questing for principles that help generalization.

 See Course details Must take CompNeuro and Deep  Learning course or equivalent. See all prerequisites here.  TBD July 2027
Aliquam a metus semper

Curabitur sed iaculis dolor, non congue ligula. Maecenas imperdiet ante eget hendrerit posuere.

 x x x
Apply as a student

Applications for 2027 will open in February 2027. You will need to create a profile in our Portal system and complete an application through that platform once they are open. 

Create a Portal profile now

Join us as a Neuromatch student

Immersive Commitment

Full-time, focused learning.

Dedicate 8 hours per day, 5 days a week, and  stay engaged with your pod to get the most from the course. No more than two absences to receive a certificate. See our Course Attendance Policy. 

Collaborative Learning

Learn together, succeed together.

Work closely in small groups of ~15 students with teaching assistants, sharing ideas and contributing to team projects. Video cameras on and engage in classroom discussion!  

Real Research

Hands-on projects with guidance.

Contribute to meaningful research under the support of teaching assistants and mentors, with a final presentation to showcase your work.

Recognized Achievement

Certificates and badges.

Receive a certificate for completing the course, and earn a special badge if you complete the collaborative project portion.

Visit our portal to apply as a student. Applications open February 2027

"Neuromatch’s mission is to make education and research in computational science accessible to everyone, everywhere. They adjust tuition fees based on where each student is located, so anyone with curiosity and motivation can take part. That openness creates opportunities for people who might not otherwise have access. Take the chance and apply!" - Sepehr Gourabi, Computational Neuroscience Alumni

Tuition Cost

Neuromatch is nonprofit making computational science accessible to everyone.

We adjust our tuition fees based on the cost of living of where the student is when they take the course. We offer tuition waivers during enrollment for those who need them. The waiver amount varies depending on where you are taking the course.

Calculate your course fee

Timeline

  • January 2027Information Webinars

    Learn more about the courses, meet the community, and ask questions!

  • February 2027Applications Open

  • March 2027Applications Close

    Midnight in your local time zone.

  • Mid-April 2027Application Decisions

    Welcome to the Neuromatch community!

  • Due early-May 2027Enrollment Deadline

    Accept your offer and make your payment

  • Early-June 2027Matching

    You'll learn what timeslot you are are in and get information about your pod.

  • TBD July 2027Orientation

    Each course will have an orientation, this is required for all students.

  • TBD July 2027CompNeuro and Deep Learning courses start!

  • TBD July 2027NeuroAI course starts!

  • July 2027Closing ceremonies

  • August 2027Certificates sent out

Frequently Asked Questions

1What if I have to miss some days of the course?
The course design is cumulative, meaning that each day requires knowledge from the previous day. Thus, missing any days of the course makes it difficult to keep up. If you know you will miss some of the course, it would be best to apply next year instead. In case of emergencies, students can miss up to 2 days and still receive a certificate. All of the content is freely available online, so students missing just a few hours of the course may be able to catch up by viewing the lectures and lessons out of sync with their pod. Review the full Course Attendance Policy.
2I’m a student and cannot afford the course fee, what are my options?
In exceptional circumstances, individuals who cannot afford the reduced fee may apply for an additional hardship discount through the payment portal. This will take place after acceptance at the time of enrollment. All students will have to cover the processing fee, this fee is scaled to your local cost of living, just as the course fee is.
3I withdrew my application in the Portal to make an edit, but now I cannot reapply!
lease email nma@neuromatch.io and ask us to delete that application. You’ll be able to resubmit your application!
4Do you offer refunds?
We hire and commit to paying teaching assistants based on the number of students signed up for each course and are therefore not able to grant refunds to any students after matching occurs, usually in early June. You can read more about our refund policy here. If you have an emergency situation that you feel grants you exemption from this policy, you may complete this form for consideration. Decisions about refunds are made on a case-by-case basis and can’t be guaranteed past the deadline above.
5If I was accepted, but can not attend this year, can I defer my enrollment to next year?
No, you will need to reapply.
6Sample question
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris eu massa orci.

Have more questions?

Please email us at nma@neuromatch.io

Join our mailing list

Be the first to hear when applications open for our 2027 courses.

Join a Information Session

Each January we host Information Sessions where you can ask your questions and learn exactly how to apply successfully.

Ask an Ambassador

Our community of volunteer Neuromatch Ambassadors around the world can help answer your questions and share their experiences in multiple languages!

Join our courses.

Unlock your potential in computational science.

Anna, New York

" Muriah to pull qoutes for here"  

Jessica, Warsaw

Curabitur sed iaculis dolor, non congue ligula. Maecenas imperdiet ante eget hendrerit posuere tellus finibus.

 

Brandon, London

Curabitur sed iaculis dolor, non congue ligula. Maecenas imperdiet ante eget hendrerit posuere tellus finibus.

Apply as a student

Applications for 2027 will open in February 2027. You will need to create a profile in our Portal system and complete an application through that platform once they are open. 

Create a Portal profile now