Give your child a Spring Break packed with hands-on STEM projects, guided learning, and fun tech activities. Built for grades KтАУ8, itтАЩs a great option among spring break camps and camps for spring break if you want real skill-building-not just time pass. Our camp blends fusion learning, applied education, and neurodiversity support for a premium experience.
This March, turn the break into a real STEM win. At Big Brainbox, kids build projects, try new tools, and learn by doing-with expert instructors and small class sizes. Programs aligned to CSTA and NGSS standards include a spring break coding camp, plus hands-on robotics, science, and math tracks in a safe, award-winning environment.
If youтАЩre searching spring break camps near me, spring break day camps near me, or spring break programs near me, our Spring Break STEM Camp offers flexible half-day and full-day options.
Students learn how mixtures behave and how variables like temperature and ingredients affect observable properties (e.g., stability, texture, browning). They practice measurement, ratios, and graphing to compare trials and draw evidence-based conclusions. They apply engineering thinking to design protective, low-waste packaging using data to justify material choices.
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| Project Name | Project Description |
|---|---|
| Emulsion Explorers | Students mix oil and water with different emulsifiers, track separation, and graph stability. They learn how surfactants change molecular interactions and how to design fair tests that turn observations into comparable data. |
| Fermentation in a Bottle | Students combine yeast, sugar, and warm water, then measure balloon circumference at intervals. They learn how temperature and substrate affect biological reaction rates and how to translate time-series measurements into growth curves. |
| Browning & Heat | Students toast bread and heat sugar syrups at varying times/temperatures, recording changes. They learn to distinguish physical vs. chemical change and see how heat steers reaction pathways. |
| Digital Recipe Notebook | Students record variables/results in a shared spreadsheet and generate charts. They learn the value of consistent units, metadata, and visualization for spotting patterns. |
| Packaging Scan & Classify | Students sort mock foods by storage needs using a simple coded interface. They learn how classification rules impact accuracy and why clear criteria and edge cases matter. |
| Ratio Remix | Students scale a lemonade recipe and compute unit rates and percent concentration. They learn proportional reasoning and how ratio changes affect real outcomes like taste and cost. |
| Nutrition Label Math | Students compare serving sizes and macros from sample labels and build graphs. They learn to read quantitative information critically and communicate findings visually. |
| Snack-Bar Structure | Students prototype no-bake bars with varied binders/fillers and test crumble resistance. They learn how composition drives mechanical properties and how to iterate using clear test criteria. |
| Package Drop Test | Students design lightweight cushioning to protect a cracker and score damage after drops. They learn energy transfer, optimizing under constraints, and using evidence to justify trade-offs. |
| Shelf-Life Strategy | Students build light-blocking and moisture-barrier sleeves and compare freshness. They learn how environment drives degradation and how data guides protective design choices. |
Students investigate forces and motion, learning how mass, shape, and angle change flight performance. They plan fair tests, collect range/time-of-flight data, and compare outcomes to simple models. They iterate designs to meet constraints (stability, payload, accuracy), building skill in optimization and trade-off reasoning.
| Activity Name | Activity Description |
|---|---|
| Lift & Drag Lab | Students test paper wing shapes near a fan and measure glide performance. They learn how shape affects aerodynamic forces and how to plan a fair comparison. |
| Rocket Fuels (Safe) | Students launch water rockets at different pressures/angles, recording range. They learn NewtonтАЩs laws in action and how to compare predictions to results using percent error. |
| Materials for Space | Students insulate an ice cube with different materials under a lamp and time melt rates. They learn conduction/radiation basics and evaluating materials against mission constraints. |
| Telemetry Lite | Students log altitude (or simulated) and time with a sensor or microcontroller. They learn why instrumentation matters and how to clean and interpret time-series data. |
| Mission Sequencer | Students block-code countdowns and stage events with timers/triggers. They learn event-driven logic and how sequencing underpins automation. |
| Trajectory Tables | Students predict ranges at 30┬░, 45┬░, 60┬░ and compare to measured values. They learn model vs. reality differences and how to discuss model fit. |
| Payload Trade-offs | Students add token тАШmassтАЩ to gliders/rockets and track performance drop. They learn optimization under constraints and how linear relationships appear in data. |
| Glider Design | Students build and iterate gliders, tuning wing aspect ratio for glide performance. They learn the value of controlled iteration and documenting design choices. |
| Parachute Challenge | Students design parachutes to land a payload softly within a target zone. They learn how drag area/canopy design affect terminal velocity and landing precision. |
| Satellite Bus Mock-Up | Students lay out a cube-sat model with power, comms, and thermal components and present rationale. They learn that subsystems interact and must be balanced to meet mission goals. |
Students explore cells and macromolecules by extracting DNA and observing safe enzyme/yeast activities. They strengthen experimental designтАФcontrols, repeated trials, careful measurementтАФwhile modeling growth and dilution mathematically. They improve reliability by designing simple tools and workflows that reduce error.
| Activity Name | Activity Description |
|---|---|
| DNA Extraction | Students extract DNA from strawberries using detergent and salt. They learn cell structure and how protocol steps correspond to breaking membranes and separating macromolecules. |
| Yeast Growth Curves | Students culture yeast with varied sugars/temperatures and record turbidity or balloon size. They learn how variables influence growth and how to read and compare growth curves. |
| Enzyme Action (Safe) | Students test pineappleтАЩs effect on gelatin setting. They learn enzymeтАУsubstrate specificity, temperature sensitivity, and the importance of controls. |
| Virtual Gel | Students simulate DNA fragment separation into bands by size. They learn the principle behind electrophoresis and how pattern recognition supports inference. |
| Bio-Data Logger | Students log incubation time/temperature and export a CSV. They learn data hygieneтАФtimestamps, units, and reproducibility. |
| Dilution Math | Students create serial dilutions of food coloring and estimate concentration by color. They learn exponential scaling and compounding dilution factors. |
| Growth Model Fit | Students compare linear vs. exponential fits to class data. They learn how to select and justify a model without overclaiming accuracy. |
| Low-Cost Incubator | Students build an insulated chamber and monitor temperature stability. They learn feedback/control ideas and testing against a target spec. |
| Pipetting Aids | Students create droplet guides and compare variation before/after. They learn precision vs. accuracy and strategies to reduce error. |
| Biolab Workflow | Students map a one-way lab process to reduce cross-traffic and contamination. They learn process engineering and how layout improves safety and efficiency. |
Students learn core wave ideasтАФfrequency, amplitude, wavelengthтАФand how information can be encoded and protected from errors. They analyze how materials and antenna orientation affect signal strength and quality. They apply systems thinking to plan coverage maps that minimize interference and dead zones.
| Activity Name | Activity Description |
|---|---|
| Wave Basics | Students model amplitude, wavelength, and frequency with ropes/slinkies. They learn core wave vocabulary and how parameter changes affect information capacity. |
| Materials & Signal | Students measure signal strength through barriers or across distances. They learn attenuation and why materials and geometry shape real networks. |
| Antenna Angles | Students rotate simple antennas and log reception by orientation. They learn directionality and how alignment improves signal quality. |
| Message Packets | Students send/acknowledge numbered packets between devices (or simulate). They learn packetization, sequencing, and why acknowledgments prevent data loss. |
| Error-Correcting Codes | Students implement parity/checksums and compare error rates. They learn reliability vs. efficiency trade-offs and the purpose of redundancy. |
| Bits & Baud | Students convert short words to binary and estimate send times at differing bit rates. They learn relationships among bandwidth, latency, and throughput. |
| Channel Capacity | Students model congested channels with marbles and track throughput. They learn why collisions occur and the value of protocol rules. |
| Coverage Planning | Students place тАШrouters/towersтАЩ on a floor plan to minimize dead zones. They learn systems optimization and constraint-based reasoning. |
| Antenna Build | Students craft a simple loop or dipole and compare reception. They learn how physical design influences electromagnetic performance. |
| Interference Mitigation | Students run a communication simulation with and without turn-taking rules. They learn medium access control concepts and how rules reduce collisions. |
Students examine material properties and structural forms to understand why some designs hold more load or resist heat and sound better. They use scale, area, and volume to translate drawings into builds and to estimate quantities and costs. They manage constraints through simple planning tools and iterate bridges, towers, and shading devices based on test data.
| Activity Name | Activity Description |
|---|---|
| Strength Tests | Students load beams of card/straws/balsa and measure deflection. They learn how material and cross-section shape affect strength and how to read test outcomes. |
| Thermal vs. Acoustic | Students compare insulation under heat and sound. They learn that materials perform differently across properties and must be selected for context. |
| Soil & Foundations | Students test angle of repose and moisture effects in soil trays. They learn why drainage and compaction matter for stable foundations. |
| Intro CAD | Students sketch a room or bridge in a kid-friendly CAD tool. They learn to read/create scale drawings and strengthen spatial reasoning. |
| Site Phasing | Students build a simple тАШGanttтАЩ with dependencies. They learn sequencing, critical paths, and planning under resource/time constraints. |
| Scale & Proportion | Students convert between scaled and real dimensions. They learn ratios and the importance of consistent units in design. |
| Area & Costing | Students estimate tiles/paint needed and compute costs. They learn to apply unit rates and make budget trade-offs. |
| Bridge Iterations | Students build trusses, test to failure, and iterate. They learn to read failure modes and improve designs using evidence. |
| Tower Crane | Students create a counterweighted arm and test reach vs. tipping. They learn torque, stability, and center of mass. |
| Facade Shading | Students add sun-shades to a model and measure interior temperature changes. They learn passive design strategies and how to evaluate them quantitatively. |
Students learn how energy transforms and how power output depends on variables like angle, shading, and blade design. They record voltage/current data, compute power and energy, and interpret graphs to evaluate performance. They design small renewable systems and micro-grids, practicing trade-off analysis around reliability, capacity, and cost.
| Activity Name | Activity Description |
|---|---|
| Solar Irradiance | Students tilt a small panel at set angles and measure VI. They learn angle-of-incidence effects and compute power from VI readings. |
| Wind Power | Students build mini turbines and compare blade shapes/counts. They learn which design variables drive energy capture and how to run fair A/B tests. |
| Storage Basics | Students safely charge/discharge small capacitors or cells and plot behavior. They learn the difference between power and energy and how charge/discharge curves look. |
| Energy Dashboard | Students log power over time and plot daily patterns. They learn to interpret variability in generation and communicate it clearly. |
| Demand Response Sim | Students play a load-switching game to avoid brownouts. They learn grid stability concepts, peak shaving, and control strategies. |
| Power & Energy Math | Students calculate P=VI and kWh from measurements. They learn unit conversions and link math to physical quantities. |
| Payback Math | Students model costs, incentives, and monthly savings to find break-even. They learn financial reasoning applied to engineering choices. |
| Solar Car | Students assemble and tune a panel-powered car. They learn gear ratios, mass effects, and iterative optimization. |
| Micro-Grid Design | Students place generation, storage, and loads on a map and explain routing. They learn system layout, resilience, and redundancy. |
| Shade Management | Students add reflectors or manual trackers and compare output. They learn how small design tweaks yield measurable performance gains. |
Students study sensing and measurement by calibrating sensors and distinguishing signal from noise. They turn raw data into predictions using tables, graphs, and simple linear models. They apply human-centered engineering to create protective enclosures and test jigs that improve usability and repeatability.
| Activity Name | Activity Description |
|---|---|
| Sensor Science | Students calibrate light/temperature sensors against a reference. They learn sensitivity, range, and why calibration underpins trustworthy data. |
| Signal vs. Noise | Students reduce interference by changing distance or adding shielding. They learn common noise sources and mitigation strategies. |
| Material Conductivity | Students test materials with an LED continuity checker. They learn the difference between conductors, insulators, and semi-conductive behavior. |
| Data Logger | Students program periodic sampling and export a CSV. They learn about sampling intervals, timestamps, and dataset organization. |
| Wearable Blink | Students code state-based outputs triggered by tilt or button. They learn finite-state thinking and inputтАУoutput mapping. |
| Tolerance Stacking | Students combine components with tolerances to predict brightness range and compare to measured. They learn how variability propagates and to set realistic expectations. |
| Linear Fit | Students plot sensor voltage vs. stimulus and draw a best-fit line. They learn how to use simple models for interpolation and careful extrapolation. |
| Enclosure Design | Students build a device case with ventilation and cable paths. They learn human-centered constraints and protecting components. |
| Connector Craft | Students design color-coded connectors to prevent mis-wiring. They learn error-proofing and the value of interface standards. |
| Test Rig | Students create a jig that holds sensors at fixed positions/angles. They learn why fixtures improve repeatability and data quality. |
Students connect motion and aerodynamics to real logistics problems by testing payload effects, drag, and packaging protection. They model flow, capacity, and shortest paths to improve throughput and reduce bottlenecks. They design conveyors, loaders, and hub-and-spoke layouts, justifying choices with data and clear criteria.
| Activity Name | Activity Description |
|---|---|
| Air Resistance | Students adjust wing area on paper planes and measure glide performance. They learn dragтАУlift trade-offs and the importance of isolating one variable. |
| Parcel Mass Effects | Students add mass to planes and re-test distance. They learn how payload influences range and practice proportional reasoning. |
| Packaging vs. Fragility | Students compare cushioning types in drop tests with a fragile item. They learn impact mitigation and objective scoring of damage. |
| Barcode Sorter | Students code a simple scanner/sorter to route тАШpackages.тАЩ They learn how data mapping drives automated actions. |
| Route Planner | Students build a shortest-path tool and test routes on maps. They learn graph reasoning and how algorithms improve logistics. |
| Throughput Math | Students time tokens through a mock line and compute cycle time. They learn bottlenecks, throughput, and capacity concepts. |
| Fuel & Weight | Students estimate fuel use per kilogram across routes using ratio tables. They learn scaling relationships and cost/environment trade-offs. |
| Conveyor Build | Students construct a gravity or crank conveyor to move parcels. They learn reliability testing and incremental improvement. |
| Loader Design | Students build a ramp or lift to load a тАШcargo bayтАЩ gently. They learn force management and basic ergonomics. |
| Hub-and-Spoke Layout | Students plan warehouse zones to minimize crossing flows. They learn spatial optimization and flow efficiency. |
Students build foundational lab competencyтАФsample prep, observation, sensor calibration, and safe technique. They construct and use standard curves, quantify uncertainty, and communicate results with clear visuals. They engineer simple instruments and workflow maps to make laboratory processes more accurate and efficient.
| Activity Name | Activity Description |
|---|---|
| Microscopy 101 | Students prepare slides (onion skin, leaves) and compare views. They learn careful observation, sample prep, and scientific sketching. |
| Colorimetric тАШAssaysтАЩ | Students make diluted dye standards and estimate unknowns. They learn calibration concepts and semi-quantitative analysis. |
| pH Probe Check | Students calibrate a low-cost pH sensor with simple standards. They learn why calibration curves matter and how sensors drift. |
| Mini-LIMS | Students build a sheet that auto-IDs and timestamps samples. They learn data integrity, tracking, and sample provenance. |
| Data Pipeline | Students import CSVs, clean headers/units, and chart results. They learn reproducible analysis and clear communication. |
| Standard Curves | Students plot response vs. concentration and use it to find an unknown. They learn interpolation and how slope supports predictions. |
| Uncertainty | Students repeat measurements and compute mean, range, and %RSD. They learn precision vs. accuracy and how to report uncertainty. |
| Spectroscope Build | Students make a CD-grating spectroscope and compare light sources. They learn how diffraction separates wavelengths and how to read qualitative spectra. |
| Sample Rack | Students design a labeled, stable rack for tubes or slides. They learn ergonomics and error reduction through physical design. |
| Workflow Map | Students draw a process from intake to report with checkpoints. They learn process control and how to spot and prevent failure points. |
Students learn how water quality is measured and improved through processes like coagulation, filtration, and disinfection. They analyze flow, pressure, and sensor data to monitor system health and detect problems. They design small-scale distribution networks, explaining how tanks, pumps, and valves work together to deliver reliable service.
| Activity Name | Activity Description |
|---|---|
| Water Quality | Students measure turbidity and pH of several water samples. They learn to interpret basic water health metrics and compare sources. |
| Coagulation/Floc | Students add a safe coagulant and observe floc formation/settling. They learn how tiny particles aggregate and why pre-treatment matters. |
| Chlorine & Dechlorination | Students detect chlorine with strips and test carbon filtration. They learn disinfection trade-offs and how residuals are managed. |
| SCADA-Style Dashboard (Sim) | Students build a spreadsheet dashboard with tank level, pump status, and alerts. They learn how monitoring and thresholds support operational decisions. |
| Leak Detection Demo | Students analyze flow data for sudden changes and trigger alarms. They learn pattern recognition and setting practical thresholds. |
| Flow-Rate Math | Students measure volume over time to compute L/min and daily usage. They learn unit conversions and demand estimation. |
| Pressure Head | Students compare water column heights to pressure effects. They learn gravity-driven flow and proportionality. |
| Filter Build | Students layer gravel, sand, and charcoal and test clarity improvement. They learn multistage filtration and how to evaluate performance. |
| Network Design | Students place tanks, pumps, and valves on a map to reach all homes. They learn redundancy, loops, and resilience in distribution. |
| Reservoir Cover | Students prototype covers to reduce evaporation and measure mass loss. They learn how surface area and sunlight drive losses and how design mitigates them. |
Students investigate friction, braking distance, and ramp height to understand energy and motion in everyday transportation. They model speed, distance, and time with measurements and graphs, and they practice algorithmic thinking with simple traffic control and robot navigation. They redesign streets and vehicles to meet safety and performance constraints, using evidence to defend decisions.
| Activity Name | Activity Description |
|---|---|
| Friction Factors | Students test rolling/sliding friction on different surfaces with toy cars. They learn how surface properties affect motion and how to compare controlled trials. |
| Braking Distance | Students release cars from a ramp and measure stopping distances with varied mass. They learn kinetic energy relationships and the effect of speed and mass on stopping. |
| Slope & Energy | Students change ramp height and time runs. They learn potential-to-kinetic energy transfer and how slope predicts speed. |
| Traffic Light Logic | Students code an intersection controller with pedestrian phases. They learn algorithmic thinking, state transitions, and safety rules. |
| Line-Follower | Students program a robot to follow tape and tune responsiveness. They learn feedback control in a simple, visual way. |
| SpeedтАУTimeтАУDistance | Students time travel over fixed distances and compute average speeds. They learn to interpret speedтАУtime graphs and distinguish average vs. instantaneous speed. |
| Timetable Math | Students create a bus schedule, calculate headways, and avoid conflicts. They learn scheduling constraints and how to optimize service. |
| Rubber-Band Racers | Students build cars powered by twisted bands and iterate for distance. They learn energy storage, gearing/friction, and iterative design. |
| Intersection Redesign | Students model a street with bump-outs and crosswalks and evaluate conflict points. They learn human-centered safety design and evidence-based justification. |
| Shock Absorbers | Students create wheel/axle mounts that reduce vibration and test ride quality. They learn damping and designing for comfort and performance. |
Students explore acids and bases, reaction rates, and polymers to distinguish physical from chemical changes. They practice quantitative reasoningтАФmass conservation checks, proportional relationships, and basic stoichiometryтАФto interpret results. They design and explain a simple treatment тАШprocess train,тАЩ showing how multiple steps combine to solve real-world problems.
| Activity Name | Activity Description |
|---|---|
| Acids & Bases | Students test household liquids with pH indicators and chart results. They learn the pH scale and how to compare solutions quantitatively. |
| Reaction Rates | Students vary temperature or surface area for effervescent tablets and time gas release. They learn which factors affect reaction rate and how to build fair comparisons. |
| Polymer Properties | Students make safe slime variants and test stretch/tear resistance. They learn how composition changes material behavior and how to define test criteria. |
| Digital Titration Log | Students enter endpoint volumes into a sheet and auto-plot curves using food-safe analogs. They learn to recognize endpoints and interpret curve shapes. |
| Lab Safety Scan | Students build a clickable lab map with PPE and hazard prompts. They learn risk identification and visual communication of safety rules. |
| Stoichiometry Lite | Students estimate relative reactant amounts from tablet mass and reaction time. They learn proportional relationships between reactants and products. |
| Conservation of Mass | Students run a sealed-bag reaction and weigh before/after. They learn mass is conserved in closed systems and how to discuss small discrepancies. |
| Water-Treatment Train | Students build a mini sequenceтАФcoagulation, filtration, disinfectionтАФand test outputs. They learn how multi-step processes combine to solve complex problems. |
| Corrosion Challenge | Students compare nail corrosion in salt vs. fresh water and test coatings. They learn how environment affects materials and how protection works. |
| Process P&ID | Students sketch a simple process and instrumentation diagram with valves/sensors. They learn to read and create engineering schematics and explain control logic. |
We believe STEM should be challenging, not overwhelming. To ensure every camper gets the most out of their week, students are divided into three distinct Innovation Cohorts based on their grade level ensure every project is age-appropriate and engaging:
ЁЯЯа Orange Group: Grades KтАУ2
ЁЯЯв Green Group: Grades 3тАУ5
ЁЯЯг Purple Group: Grades 6тАУ8
We believe a great innovator needs to be both a scientist and an engineer. Every day, your camper will complete two major projects:
ЁЯФм Discovery Lab (Science & Math): Uncovering the “Why” through experiments and logic.
тЪЩя╕П The Maker Forge (Tech & Engineering): Building the “How” through design and construction.
Note to Parents:Our daily schedule is dynamic. We rotate these sessions between morning and afternoon slots throughout the week. This ensures all campersтАФwhether attending for a half-day or the full-dayтАФexperience the full spectrum of Science, Math, Tech, and Engineering!
Weekly Enrollment Strategy: To achieve the full pedagogical objectives of our GICS-mapped curriculum, Full-Week enrollment (MondayтАУFriday) is highly recommended. Each day of the week is designed as a cumulative “Discovery-to-Build” loop where daily Science & Math (S&M) theory directly informs subsequent Tech & Engineering (T&E) applications.
Partial-Week Participation: While Half-Week or “Drop-In” sessions provide high-quality modular instruction and individual projects, they represent a fragmented curriculum. Partial-week campers will achieve specific daily goals but will miss the comprehensive “Sector Mastery” requirements and the full-scale project iterations intended for the 5-day cycle. By registering for a Partial-Week session, the parent/guardian acknowledges that the camper will receive a modified version of the weekly STEM portfolio.
At Big Brainbox, we go beyond traditional summer camps for kids. Our Summer Break STEM Camp is designed to prevent learning loss, strengthen academic confidence, and build future-ready skills through our proven Fusion Learning Model.
When you choose Big Brainbox, you’re choosing a premium STEM summer camp aligned with NGSS & CSTA standards, STEM.org Certified, and recognized as a Best in STEM Award winner тАФ because your child deserves structured excellence, not passive summer activities.
Applied Education
Standards Aligned
National Accrediation
Award Winner
Big Brainbox delivers award-winning summer STEM education at a price that reflects quality and value.
HALF-DAY
Starting at
$345 / week
Choice of 9 AMтАУ12 PM or 1тАУ4 PM ┬╖ MonтАУFri
MOST POPULAR
FULL-DAY
Starting at
$545 / week
Save $145 vs. two half-day sessions
9 AMтАУ4 PM ┬╖ MonтАУFri ┬╖ Extended care available
Creative building projects that develop early problem-solving skills.
Visual coding tools that teach basic logic in a simple way.
Fun experiments that spark curiosity and learning.
Interactive games that build focus and teamwork.
Learn Scratch, beginner Python, and game basics.
Build and program robots to solve challenges.
Design, test, and improve creative solutions.
Hands-on experiments in chemistry and physics.
Develop apps and projects using real programming languages.
Create complex robots using sensors and automation.
Solve real-world problems through testing and design.
Complete guided projects that prepare students for future STEM success.
See why families trust Big Brainbox for their childтАЩs STEM summer camp experience.
Our summer camp for kids is designed for Grades KтАУ2, 3тАУ5, and 6тАУ8. Each age group receives developmentally appropriate STEM projects and structured learning experiences.
Unlike traditional summer camps, our educational summer camp emphasizes robotics, coding, engineering, and innovation. Students leave with completed projects, stronger problem-solving skills, and measurable growth.
Yes. Our robotics and coding summer camp modules allow students to program, build, and experiment in a hands-on learning environment guided by expert instructors.
We offer both half-day and full-day summer camp options to give families flexibility while maintaining structured, high-quality learning experiences.
We maintain small groups with a maximum of 12 students per instructor to ensure personalized attention and meaningful progress.
Registration can be completed online through our website. We recommend enrolling early, as seats for our summer STEM camp are intentionally limited.
