Open for Summer 2026

Summer 2026 enrollment is open

Plan a summer learning path with 1:1 guidance that fits your student.

Expert 1:1 CS mentorship for all levels

Trusted by hundreds of students and parents

Why Choose Us

The Code Scholars Difference

Personalized Learning Plans

Experienced Mentorship

Real-World Coding Skills

Confidence Building

Flexible Scheduling

Long-Term Academic Support

Testimonials

What Parents and Students Say

Northeastern Computer Science

High School Student

I committed to Northeastern for computer science. Thank you for your help with USACO and APCSA. It truly showed me that I have a passion for computer science.
Testimonial 1

Cornell Admission

High School Student

I got into Cornell! Thank you for your classes and guidance. They helped me a lot throughout high school.
Testimonial 2

USACO 100% Score

Parent

My student got a 100% score in USACO. Thanks for your help; without you, he would not have achieved it.
Testimonial 3

Student Outcomes

Common student challenges we help solve.

Read Parent and Student Stories

AP CSA Support

From array confusion to confident FRQ practice

Starting point
A high school student understood Java syntax but lost points when arrays, ArrayList, and object state appeared together.
Tutoring path
We rebuilt tracing habits, used topic MCQs to expose weak spots, and practiced explaining each code change before writing.
Outcome
The student became more comfortable with mixed AP CSA questions and had a clearer plan for weekly exam review.

USACO Bronze

Turning “I do not know where to start” into pattern recognition

Starting point
A contest student could read solutions afterward but struggled to choose a first move during timed Bronze problems.
Tutoring path
We grouped problems by simulation, counting, sorting, and careful implementation patterns, then practiced small dry runs.
Outcome
The student started recognizing common Bronze shapes earlier and debugging with more structure.

Python Projects

Moving from beginner syntax to a project students can explain

Starting point
A student had tried Python tutorials but did not know how to turn variables, loops, and lists into a complete project.
Tutoring path
We built small functions first, added collections, then shaped the work into a clean project with comments and tests.
Outcome
The student had a working project and could describe the design choices in normal language.

Advanced CS

Building stamina for harder data-structure questions

Starting point
An advanced student knew the vocabulary for stacks, queues, maps, and recursion but froze on longer algorithmic prompts.
Tutoring path
We practiced drawing state transitions, writing invariants, and comparing brute force to cleaner data-structure approaches.
Outcome
The student became more willing to sit with hard problems and break them into testable steps.

How Code Scholars Works

How tutoring starts and what happens next.

1

Choose

Find the right course path

2

Diagnose

Identify the real gaps

3

Plan

Build a weekly study plan

4

Practice

Use feedback while coding

5

Review

Track progress and adjust

Free consultation takeaway

Families leave with a next-step plan.

Recommended course path
Priority topics to review first
Suggested practice tools
Session format and next step

Ready to Build Confidence in Computer Science?