THE COLLEGE PROVEN
SUMMER PROGRAM

The College Proven Summer Program offers a unique opportunity for juniors and seniors enrolled in Massachusetts high schools to earn college credit while gaining exposure to a more rigorous and engaging academic workload. This program provides students with an early glimpse of life after high school, preparing them for success in higher education and beyond.

Transformative Outcomes of the College Proven Program

  • Students have the chance to earn 4 college credit per course while still in high school, giving them a head start on their academic journey.

  • By participating in the College Proven Program, students are exposed to a more challenging academic environment, fostering growth and development.

  • College Proven equips students with the skills and confidence needed to excel in college, setting them up for future success.

  • Through our College Proven Program, students have the opportunity to earn college credit at no or reduced cost, minimizing the need for student loans and ultimately reducing their overall college debt.

2024 College Proven Data

  • 92% of Students Earned College Credit.

  • 68% of College Proven Students Achieved and A or B in 2024.

  • 92% of Participating Students Identify as BIPOC.

  • The program's demographics by gender show that 32% of students are male, while 68% are female.

  • College Proven Program students came from 17 Massachusetts districts.

  • According to the June 2024 Education Data Initiative, private universities charge $1,469 per credit hour. The 23 students who earned credit saved a total of approximately $101,338 in tuition.

2024 COURSE OFFERING

Intro to Statistics with R

This is an introductory course in statistics. The objective of this course is to organize, summarize, interpret, and present data using graphical and tabular representations; apply principles of inferential statistics; and assess the validity of statistical conclusions. Students will learn to select and apply appropriate statistical tests and determine reasonable inferences and predictions from a set of data. Topics include descriptive statistics; introduction to probability; probability distributions including normal and t-distributions; confidence intervals; hypothesis testing; correlation and regression; two-way tables and chi-square test. Course uses R statistical software.

The 2025 College Proven Schedule is coming soon! 📚

  • SESSION I

    Dates: TBD
    Times: TBD

  • SESSION II

    Dates: TBD
    Times: TBD

  • TUTORING SESSIONS

    Mondays, Wednesdays, & Thursdays
    Times: TBD