Application deadline
13 March 2026
Summer Institutes application and supplemental materials are due by 11:59 p.m. Pacific Time.

by Stanford Pre-Collegiate Studies
Study climate physics, build a Python energy-balance model and analyze climate projections through a team presentation focused on scientific uncertainty.
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Current status
Upcoming
Eligibility
Grades 9-11; algebra and beginning Python
Age range / Year group
Ages 14-17
Location / Region
Online
Cost
$3,200
Duration
2 weeks
Format
Online
This Stanford Pre-Collegiate Summer Institutes course connects greenhouse-effect physics with the models scientists use to project climate change.
Students build an energy-balance model in Python, analyze CMIP6 output and observational data, and collaborate on a final presentation.
It suits students who want to investigate how climate projections are made and explain their uncertainty through scientific analysis.
Climate Change: Projections and Uncertainty is an online course within Stanford Pre-Collegiate Summer Institutes, offered by Stanford Pre-Collegiate Studies. It explores past and present climate change, the radiative physics of the greenhouse effect and the models used to project Earth's future.
Students connect theory with practical work by coding an energy-balance model in Python. They then analyze CMIP6 climate-model output and observational datasets in teams, creating a final presentation about how climate change appears in a particular component of the Earth system.
Building a Python energy-balance model gives students a concrete way to test the physics behind greenhouse warming.
Working with CMIP6 output connects classroom study to the climate models used to inform IPCC reports.
The final team presentation combines data interpretation with explaining a focused scientific finding.
An explicit focus on uncertainty encourages careful reasoning about what climate projections can tell us.
Students who enjoy quantitative science and want to connect climate physics, Python coding and real datasets.
You want an introduction to programming from scratch or a light extracurricular activity alongside a full weekday schedule.
The course offers a focused way to move from interest in climate change to understanding its physical mechanisms and modeling methods. Its strongest feature is the combination of coding, real climate datasets and a presentation that requires students to explain their analysis.
The substantial daily workload makes it a demanding choice for students balancing other commitments. Its value depends on what you learn and produce; participation does not guarantee admission to Stanford University.

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Cost and what is included
$3,200; includes Two-hour live classes Monday-Friday., Online office hours., Python energy-balance modeling work., Team climate-data analysis and final presentation..
Dates and time commitment
2 weeks; Weekdays: 2h live + 2-3h independent work.
Provider details
Review the Stanford Pre-Collegiate Studies provider page and official sources before making a final decision.
What the student gains
Potential output: The main output is a team presentation on how climate change affects a particular component of the Earth system.. Check whether feedback, certificate, recommendation or application evidence is included.
Online support and safeguarding
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What to check before committing
Confirm current dates, session schedule, payment terms, cancellation rules, support expectations and what output or certificate is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsEffort level
High.
Best started
Allow four to six weeks before your intended session to prepare application materials and refresh prerequisite skills.
Main challenge
Interpreting climate-model uncertainty while completing coding and team work.
Review algebra and practice writing and debugging simple Python programs.
Gather recent grade reports and transcripts, and prepare the work sample required by the course application.
Convert the Pacific-time meeting window to your local time and reserve daily independent-work time.
Read about Earth's energy balance and the greenhouse effect before classes begin.
Useful if
You want to test your interest in quantitative climate science.
You move from the physics of greenhouse warming to coding and interpreting climate projections. A team project brings those skills together in a presentation about a specific component of the Earth system.
Explore past and present eras of climate change.
Study the radiative physics underlying the greenhouse effect.
Code a Python model of Earth's energy balance.
Examine the CMIP models used to inform IPCC reports.
Analyze CMIP6 output and recent observational datasets with teammates.
Present how climate change affects your selected Earth-system component.
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Application deadline
13 March 2026
Summer Institutes application and supplemental materials are due by 11:59 p.m. Pacific Time.
Programme dates
6-17 July 2026
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 13 March 2026 | Local | Reference date | |
Programme dates | 6-17 July 2026 | Local | Reference date |
Be in Grades 9-11 at the time of application.
Have completed an algebra course.
Have beginning proficiency with Python.
Attend only one Summer Institutes course if admitted.
Program fee
$3,200 — 2026 Summer Institutes tuition.
Funding or discounts
What's included
Two-hour live classes Monday-Friday., Online office hours., Python energy-balance modeling work., Team climate-data analysis and final presentation.
Create or reuse an account in Stanford's application portal using the student's legal name and birthdate.
Select the courses you are interested in attending and complete your own application responses.
Upload recent grade reports, transcripts and the work sample required by the selected course.
Have a parent or legal guardian review and sign the completed application.
Review all materials, then submit the application and pay the application fee.
Next step with Succeed
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The course meets online for two hours each weekday within an 08:00-11:00 PDT window, with the third hour used for office hours. Students attend one assigned section and should plan for approximately two to three additional hours of daily assignments and projects.
The exact class time and office-hour schedule are set closer to the start.
Online office hours use the third hour of the meeting window.
The exact office-hour schedule is set closer to the start.
Students attend one assigned course section and time.
Course work combines coding, climate-data analysis and a final team presentation.
Main deliverable / output
The main output is a team presentation on how climate change affects a particular component of the Earth system.
A Python model demonstrating Earth's energy balance.
Analysis using CMIP6 output and recent observational datasets.
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Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
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We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.
Climate Change: Projections and Uncertainty
by Stanford Pre-Collegiate Studies
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