Courses

NMA 2023 Dates and Info

Course Begins - July 10, 2023
Course Ends - July 28, 2023

Applications for students and TAs are now closed. 

Overview

Our summer courses are intensive 3-week programs (7+ hours/day) involving hands-on tutorials developed and taught by leading experts. Students are placed into TA-led groups of 10-20 students using the neuromatch algorithm, which matches students based on common interests, timezone, and their preferred language. They receive personalized support as they work through hands-on tutorials and collaborate on course projects. 

In order to capture all aspects of traditional summer schools, students will also be offered to be mentored by professors in the field, professional development seminars, career panels, and opportunities to virtually socialize with their fellow students.

All of our course materials are freely available to use in your own courses, teaching experiences, and other content as all of our materials have a CC-BY license.

Please note that due to legal and liability restrictions, we are unable to accommodate students or teaching assistants who are under the age of 18. 

Check the Roles page for more info about students, teaching assistants, and mentors.

Available Courses

We offer two courses: Computational Neuroscience and Deep Learning.
In addition to a brand-new 2 weeks virtual summer school within the Climatematch Academy.

Computational Neuroscience

Learn Computational Neuroscience in a Hands-On Way


Pre-Course Preparation


Code-First, Hands-On Learning


Course Curriculum


Get Ready to Launch into Your Neuroscience Journey


Don't miss your chance to explore the intersection of neuroscience and machine learning. Our computational neuroscience course is the perfect way to gain practical experience and build a strong foundation in this field. Join us and become part of a growing community of scientists and researchers exploring the frontiers of computational neuroscience.

To see more, including the group projects, view the course schedule and course content here: Computational Neuroscience Course

Deep Learning

Learn Advanced Techniques and Apply Them Ethically to Advance Science


Code-First, Hands-On Learning


Cutting-Edge Modeling Techniques


Ethical Considerations and Scientific Inquiry


Suitable for All Backgrounds and Fields


Comprehensive Curriculum


Don't miss out on this opportunity to dive deep into the world of Deep Learning with the guidance of our expert instructors and teaching assistants! Whether you're a seasoned data scientist or just starting out, our DL course provides a comprehensive curriculum that covers all the core topics you need to know to become a proficient deep learning practitioner.


To see more, including the group projects, view the course schedule and course content here: Deep Learning Course

Pricing

Traditional summer schools can be expensive (~$5,000 for a three-week course), but Neuromatch promises to be always affordable while still ensuring our teaching assistants get paid. To do this, we charge a much lower, regionally adjusted fee, and fee waivers for students that need them without any impact on their admission. 

While Neuromatch is supported by generous donations from a variety of foundations and industry partners, we strive to make the program sustainable through tuition fees, which are used to pay our teaching assistants. We do not want fees to be a barrier for anybody, so these fees can be waived, but if you can pay even part of your fee, this is welcome. There are even opportunities to pay more than your fee if you would like to help subsidize fee waivers for other students with less financial means than yourself. 

To estimate your course fees based on your region, use our COLA Calculator.

ClimateMatch

Climatematch Academy (CMA) is a wide-reaching and brand-new summer school. It's an inclusive and approachable program aimed to introduce computational methods for climate science. The existing climate science research community severely underrepresents the global population that will be impacted by climate change. CMA strives to create a globally diverse climate sciences community, trained in cutting-edge techniques to access and analyze open-source modeled and observational climate data. 


CMA offers a two-week program involving hands-on tutorials developed and taught by leading experts following the successful Neuromatch Academy format. Students will also be offered mentoring from experts, professional development seminars, career panels, and opportunities to virtually socialize with their fellow students. 

To see more, including the group projects, view the course schedule and course content here: Climatematch Academy